From dc034f95edbc7b34279f44265d45efa007ad616d Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 13:39:00 +0200 Subject: [PATCH 01/28] Investigate cross-validation methods for time series #53 Adapt the existing code to use time series cross validation (WIP). --- TS/TimeSeries_Cutting.py | 76 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 76 insertions(+) create mode 100644 TS/TimeSeries_Cutting.py diff --git a/TS/TimeSeries_Cutting.py b/TS/TimeSeries_Cutting.py new file mode 100644 index 000000000..da2c9c9dc --- /dev/null +++ b/TS/TimeSeries_Cutting.py @@ -0,0 +1,76 @@ +# Copyright (C) 2016 Antoine Carme +# All rights reserved. + +# This file is part of the Python Automatic Forecasting (PyAF) library and is made available under +# the terms of the 3 Clause BSD license + +import pandas as pd +import numpy as np + +from . import Utils as tsutil + +class cCuttingInfo: + def __init__(self): + pass + + + def estimate(self): + self.defineCuttingParameters(); + + def defineCuttingParameters(self): + lStr = "CUTTING_START SignalVariable='" + self.mSignal +"'"; + # print(lStr); + #print(self.mSignalFrame.head()) + self.mTrainSize = self.mSignalFrame.shape[0]; + assert(self.mTrainSize > 0); + lEstEnd = int((self.mTrainSize - self.mHorizon) * self.mOptions.mEstimRatio); + lValSize = self.mTrainSize - self.mHorizon - lEstEnd; + lTooSmall = False; + # training too small + if((self.mTrainSize < 30) or (lValSize < self.mHorizon)): + lTooSmall = True; + + if(lTooSmall): + self.mEstimStart = 0; + self.mEstimEnd = self.mTrainSize; + self.mValidStart = 0; + self.mValidEnd = self.mTrainSize; + self.mTestStart = 0; + self.mTestEnd = self.mTrainSize; + else: + self.mEstimStart = 0; + self.mEstimEnd = lEstEnd; + self.mValidStart = self.mEstimEnd; + self.mValidEnd = self.mTrainSize - self.mHorizon; + self.mTestStart = self.mValidEnd; + self.mTestEnd = self.mTrainSize; + + lStr = "CUTTING_PARAMETERS " + str(self.mTrainSize) + " Estimation = (" + str(self.mEstimStart) + " , " + str(self.mEstimEnd) + ")"; + lStr += " Validation = (" + str(self.mValidStart) + " , " + str(self.mValidEnd) + ")"; + lStr += " Test = (" + str(self.mTestStart) + " , " + str(self.mTestEnd) + ")"; + #print(lStr); + + pass + + def cutFrame(self, df): + lFrameFit = df[self.mEstimStart : self.mEstimEnd]; + lFrameForecast = df[self.mValidStart : self.mValidEnd]; + lFrameTest = df[self.mTestStart : self.mTestEnd]; + return (lFrameFit, lFrameForecast, lFrameTest) + + def getEstimPart(self, df): + lFrameFit = df[self.mEstimStart : self.mEstimEnd]; + return lFrameFit; + + def getValidPart(self, df): + lFrameValid = df[self.mValidStart : self.mValidEnd]; + return lFrameValid; + + + def info(self): + lStr2 += " Estimation = (" + str(self.mEstimStart) + " , " + str(self.mEstimEnd) + ")"; + lStr2 += " Validation = (" + str(self.mValidStart) + " , " + str(self.mValidEnd) + ")"; + lStr2 += " Test = (" + str(self.mTestStart) + " , " + str(self.mTestEnd) + ")"; + lStr2 += " Horizon=" + str(self.mHorizon) +""; + return lStr2; + From 87f13753c01d40d70c186fdff80775c321a91a82 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 13:40:18 +0200 Subject: [PATCH 02/28] Investigate cross-validation methods for time series #53 Adapt the existing code to use time series cross validation (WIP). --- TS/PredictionIntervals.py | 4 +- TS/Scikit_Models.py | 2 +- TS/SignalDecomposition.py | 16 +++++++ TS/SignalDecomposition_AR.py | 5 +- TS/SignalDecomposition_Cycle.py | 13 +++--- TS/SignalDecomposition_Trend.py | 15 +++--- TS/SignalHierarchy.py | 4 +- TS/Time.py | 81 +++++++++------------------------ TS/TimeSeriesModel.py | 2 +- 9 files changed, 61 insertions(+), 81 deletions(-) diff --git a/TS/PredictionIntervals.py b/TS/PredictionIntervals.py index b869cf2b3..88224409b 100644 --- a/TS/PredictionIntervals.py +++ b/TS/PredictionIntervals.py @@ -31,14 +31,14 @@ def computePerformances(self): lForecastColumn = str(self.mSignal) + "_Forecast"; df = self.mModel.mTrend.mSignalFrame.reset_index(); N = df.shape[0]; - (lOriginalFit, lOriginalForecast, lOriginalTest) = self.mModel.mTimeInfo.cutFrame(df); + (lOriginalFit, lOriginalForecast, lOriginalTest) = self.mModel.mTimeInfo.mSplit.cutFrame(df); df1 = df; for h in range(0 , self.mHorizon): df2 = None; df2 = self.mModel.forecastOneStepAhead(df1, perf_mode = True); df2 = df2.head(N); lHorizonName = lForecastColumn + "_" + str(h + 1); - (lFrameFit, lFrameForecast, lFrameTest) = self.mModel.mTimeInfo.cutFrame(df2); + (lFrameFit, lFrameForecast, lFrameTest) = self.mModel.mTimeInfo.mSplit.cutFrame(df2); self.mFitPerformances[lHorizonName] = tsperf.cPerf(); self.mFitPerformances[lHorizonName].compute(lOriginalFit[lSignalColumn], lFrameFit[lForecastColumn], lHorizonName); self.mForecastPerformances[lHorizonName] = tsperf.cPerf(); diff --git a/TS/Scikit_Models.py b/TS/Scikit_Models.py index bf3e2ed98..dcdcced3c 100644 --- a/TS/Scikit_Models.py +++ b/TS/Scikit_Models.py @@ -32,7 +32,7 @@ def fit(self): series = self.mCycleResidueName; self.mTime = self.mTimeInfo.mTime; self.mSignal = self.mTimeInfo.mSignal; - lAREstimFrame = self.mTimeInfo.getEstimPart(self.mARFrame) + lAREstimFrame = self.mSplit.getEstimPart(self.mARFrame) # print("mAREstimFrame columns :" , self.mAREstimFrame.columns); lARInputs = lAREstimFrame[self.mInputNames].values diff --git a/TS/SignalDecomposition.py b/TS/SignalDecomposition.py index 01bc0c406..c744025a6 100644 --- a/TS/SignalDecomposition.py +++ b/TS/SignalDecomposition.py @@ -30,6 +30,7 @@ from . import SignalDecomposition_AR as tsar from . import Options as tsopts from . import TimeSeriesModel as tsmodel +from . import TimeSeries_Cutting as tscut from . import Utils as tsutil @@ -107,6 +108,16 @@ def setParams(self , iInputDS, iTime, iSignal, iHorizon, iTransformation, iExoge # print("SIGNAL_INFO " , self.mSignalFrame.info()); # print(self.mSignalFrame.head()) + + + self.mSplit = tscut.cCuttingInfo() + self.mSplit.mTime = self.mTime; + self.mSplit.mSignal = self.mSignal; + self.mSplit.mOriginalSignal = self.mOriginalSignal; + self.mSplit.mHorizon = self.mHorizon; + self.mSplit.mSignalFrame = self.mSignalFrame; + self.mSplit.mOptions = self.mOptions; + self.mTimeInfo = tsti.cTimeInfo(); self.mTimeInfo.mTime = self.mTime; @@ -115,6 +126,7 @@ def setParams(self , iInputDS, iTime, iSignal, iHorizon, iTransformation, iExoge self.mTimeInfo.mHorizon = self.mHorizon; self.mTimeInfo.mSignalFrame = self.mSignalFrame; self.mTimeInfo.mOptions = self.mOptions; + self.mTimeInfo.mSplit = self.mSplit; self.mExogenousInfo = None; if(iExogenousData is not None): @@ -207,6 +219,7 @@ def train(self , iInputDS, iTime, iSignal, # estimate time info # assert(self.mTimeInfo.mSignalFrame.shape[0] == iInputDS.shape[0]) + self.mSplit.estimate(); self.mTimeInfo.estimate(); @@ -221,6 +234,7 @@ def train(self , iInputDS, iTime, iSignal, lTrendEstimator = tstr.cTrendEstimator() lTrendEstimator.mSignalFrame = self.mSignalFrame lTrendEstimator.mTimeInfo = self.mTimeInfo + lTrendEstimator.mSplit = self.mSplit lTrendEstimator.mOptions = self.mOptions; trend_start_time = time.time() @@ -241,6 +255,7 @@ def train(self , iInputDS, iTime, iSignal, self.run_gc(); lCycleEstimator.mTimeInfo = self.mTimeInfo + lCycleEstimator.mSplit = self.mSplit lCycleEstimator.mOptions = self.mOptions; lCycleEstimator.estimateAllCycles(); @@ -261,6 +276,7 @@ def train(self , iInputDS, iTime, iSignal, self.run_gc(); lAREstimator.mTimeInfo = self.mTimeInfo + lAREstimator.mSplit = self.mSplit lAREstimator.mExogenousInfo = self.mExogenousInfo; lAREstimator.mOptions = self.mOptions; lAREstimator.estimate(); diff --git a/TS/SignalDecomposition_AR.py b/TS/SignalDecomposition_AR.py index c1719ad31..d1223bbfc 100644 --- a/TS/SignalDecomposition_AR.py +++ b/TS/SignalDecomposition_AR.py @@ -40,7 +40,7 @@ def dumpCoefficients(self): def computePerf(self): self.mARFitPerf= tsperf.cPerf(); self.mARForecastPerf= tsperf.cPerf(); - (lFrameFit, lFrameForecast, lFrameTest) = self.mTimeInfo.cutFrame(self.mARFrame); + (lFrameFit, lFrameForecast, lFrameTest) = self.mSplit.cutFrame(self.mARFrame); self.mARFitPerf.compute( lFrameFit[self.mCycleResidueName], lFrameFit[self.mOutName], self.mOutName) self.mARForecastPerf.compute( @@ -146,7 +146,7 @@ def addLagForTraining(self, df, lag_df, series, autoreg, p): lShiftedSeries = self.shift_series(lSeries, p); self.mDefaultValues[series] = lSeries.values[0]; - lShiftedEstim = self.mTimeInfo.getEstimPart(lShiftedSeries); + lShiftedEstim = self.mSplit.getEstimPart(lShiftedSeries); lAcceptable = self.is_not_constant(lShiftedEstim); if(lAcceptable): autoreg.mInputNames.append(name); @@ -227,6 +227,7 @@ def estimate_ar_models_for_cycle(self, cycle_residue): autoreg.mCycleFrame = self.mCycleFrame; autoreg.mARFrame = self.mARFrame; autoreg.mTimeInfo = self.mTimeInfo; + autoreg.mSplit = self.mSplit; autoreg.mLagOrigins = self.mLagOrigins; autoreg.mDefaultValues = self.mDefaultValues; autoreg.fit(); diff --git a/TS/SignalDecomposition_Cycle.py b/TS/SignalDecomposition_Cycle.py index 649549ccc..2833cbab1 100644 --- a/TS/SignalDecomposition_Cycle.py +++ b/TS/SignalDecomposition_Cycle.py @@ -52,7 +52,7 @@ def computePerf(self): self.mCycleFitPerf = tsperf.cPerf(); self.mCycleForecastPerf = tsperf.cPerf(); # self.mCycleFrame[[self.mTrend_residue_name, self.getCycleName()]].to_csv(self.getCycleName() + ".csv"); - (lFrameFit, lFrameForecast, lFrameTest) = self.mTimeInfo.cutFrame(self.mCycleFrame); + (lFrameFit, lFrameForecast, lFrameTest) = self.mSplit.cutFrame(self.mCycleFrame); self.mCycleFitPerf.compute( lFrameFit[self.mTrend_residue_name], lFrameFit[self.getCycleName()], self.getCycleName()) @@ -135,7 +135,7 @@ def fit(self): self.mCycleFrame[self.mTrend_residue_name] = self.mTrendFrame[self.mTrend_residue_name] self.mCycleFrame[lName] = self.mTrendFrame[self.mTime].apply(self.get_date_part); # we encode only using estimation - lCycleFrameEstim = self.mTimeInfo.getEstimPart(self.mCycleFrame); + lCycleFrameEstim = self.mSplit.getEstimPart(self.mCycleFrame); lTrendMeanEstim = lCycleFrameEstim[self.mTrend_residue_name].mean(); lGroupBy = lCycleFrameEstim.groupby(by=[lName] , sort=False)[self.mTrend_residue_name].mean(); self.mEncodedValueDict = lGroupBy.to_dict() @@ -189,7 +189,7 @@ def dumpCyclePerfs(self): def computeBestCycle(self): # self.dumpCyclePerfs(); - lCycleFrameEstim = self.mTimeInfo.getEstimPart(self.mCycleFrame); + lCycleFrameEstim = self.mSplit.getEstimPart(self.mCycleFrame); self.mDefaultValue = lCycleFrameEstim[self.mTrend_residue_name].mean(); self.mBestCycleLength = None; lBestCycleIdx = None; @@ -214,7 +214,7 @@ def computeBestCycle(self): def generate_cycles(self): self.mTimeInfo.addVars(self.mCycleFrame); self.mCycleFrame[self.mTrend_residue_name ] = self.mTrendFrame[self.mTrend_residue_name] - lCycleFrameEstim = self.mTimeInfo.getEstimPart(self.mCycleFrame); + lCycleFrameEstim = self.mSplit.getEstimPart(self.mCycleFrame); self.mDefaultValue = lCycleFrameEstim[self.mTrend_residue_name].mean(); del lCycleFrameEstim; self.mCyclePerfDict = {} @@ -227,7 +227,7 @@ def generate_cycles(self): if ((i > 1) and (i <= lMaxRobustCycle)): name_i = self.mTrend_residue_name + '_Cycle'; lCycleFrame[name_i] = self.mCycleFrame[self.mTimeInfo.mRowNumberColumn] % i - lCycleFrameEstim = self.mTimeInfo.getEstimPart(lCycleFrame); + lCycleFrameEstim = self.mSplit.getEstimPart(lCycleFrame); lGroupBy = lCycleFrameEstim.groupby(by=[name_i] , sort=False)[self.mTrend_residue_name].mean(); lEncodedValueDict = lGroupBy.to_dict() lCycleFrame[name_i + '_enc'] = lCycleFrame[name_i].apply( @@ -237,7 +237,7 @@ def generate_cycles(self): lPerf = tsperf.cPerf(); # validate the cycles on the validation part - lValidFrame = self.mTimeInfo.getValidPart(lCycleFrame); + lValidFrame = self.mSplit.getValidPart(lCycleFrame); lCritValue = lPerf.computeCriterion(lValidFrame[self.mTrend_residue_name], lValidFrame[name_i + "_enc"], self.mCriterion, @@ -321,6 +321,7 @@ def defineCycles(self): for cycle in self.mCycleList[trend]: cycle.mTrendFrame = self.mTrendFrame; cycle.mTimeInfo = self.mTimeInfo; + cycle.mSplit = self.mSplit; cycle.mOptions = self.mOptions; def plotCycles(self): diff --git a/TS/SignalDecomposition_Trend.py b/TS/SignalDecomposition_Trend.py index 9842b02af..a27c6eb5c 100644 --- a/TS/SignalDecomposition_Trend.py +++ b/TS/SignalDecomposition_Trend.py @@ -45,7 +45,7 @@ def computePerf(self): self.mTrendFitPerf = tsperf.cPerf(); self.mTrendForecastPerf = tsperf.cPerf(); - (lFrameFit, lFrameForecast, lFrameTest) = self.mTimeInfo.cutFrame(self.mTrendFrame); + (lFrameFit, lFrameForecast, lFrameTest) = self.mSplit.cutFrame(self.mTrendFrame); self.mTrendFitPerf.compute(lFrameFit[self.mSignal] , lFrameFit[self.mOutName], self.mOutName) self.mTrendForecastPerf.compute(lFrameForecast[self.mSignal] , @@ -75,7 +75,7 @@ def transformDataset(self, df): def fit(self): # real lag1 - lTrendEstimFrame = self.mTimeInfo.getEstimPart(self.mTrendFrame); + lTrendEstimFrame = self.mSplit.getEstimPart(self.mTrendFrame); self.mMean = lTrendEstimFrame[self.mSignal].mean() target = self.mTrendFrame[self.mSignal] self.mTrendFrame[self.mOutName] = self.mMean * np.ones_like(target); @@ -112,7 +112,7 @@ def replaceFirstMissingValue(self, df, series): def fit(self): # real lag1 target = self.mTrendFrame[self.mSignal].values - lEstim = self.mTimeInfo.getEstimPart(self.mTrendFrame); + lEstim = self.mSplit.getEstimPart(self.mTrendFrame); self.mDefaultValue = lEstim[self.mSignal ].iloc[0] self.mTrendFrame[self.mOutName] = self.mTrendFrame[self.mSignal].shift(1); # print(self.mTrendFrame[self.mSignal].shape , self.mTrendFrame[self.mOutName].shape) @@ -154,7 +154,7 @@ def fit(self): # real lag1 target = self.mTrendFrame[self.mSignal].values self.mTrendFrame[self.mOutName] = self.mTrendFrame[self.mSignal].shift(1).rolling(self.mWindow).mean().fillna(method='bfill') - mean = self.mTimeInfo.getEstimPart(self.mTrendFrame)[self.mSignal].mean() + mean = self.mSplit.getEstimPart(self.mTrendFrame)[self.mSignal].mean() self.mTrendFrame[self.mOutName].fillna(mean , inplace=True) self.mTrendFrame[self.mOutName + '_residue'] = target - self.mTrendFrame[self.mOutName].values @@ -190,7 +190,7 @@ def fit(self): # real lag1 target = self.mTrendFrame[self.mSignal].values self.mTrendFrame[self.mOutName] = self.mTrendFrame[self.mSignal].shift(1).rolling(self.mWindow).median().fillna(method='bfill') - mean = self.mTimeInfo.getEstimPart(self.mTrendFrame)[self.mSignal].mean() + mean = self.mSplit.getEstimPart(self.mTrendFrame)[self.mSignal].mean() self.mTrendFrame[self.mOutName].fillna(mean , inplace=True) self.mTrendFrame[self.mOutName + '_residue'] = target - self.mTrendFrame[self.mOutName].values @@ -221,7 +221,7 @@ def addTrendInputVariables(self): self.mTimeInfo.addVars(self.mTrendFrame); def fit(self): - lTrendEstimFrame = self.mTimeInfo.getEstimPart(self.mTrendFrame); + lTrendEstimFrame = self.mSplit.getEstimPart(self.mTrendFrame); est_target = lTrendEstimFrame[self.mSignal].values est_inputs = lTrendEstimFrame[[self.mTimeInfo.mNormalizedTimeColumn]].values self.mTrendRidge.fit(est_inputs, est_target) @@ -265,7 +265,7 @@ def addTrendInputVariables(self): self.mTrendFrame[self.mTimeInfo.mNormalizedTimeColumn + "_^3"] = self.mTrendFrame[self.mTimeInfo.mNormalizedTimeColumn] ** 3; def fit(self): - lTrendEstimFrame = self.mTimeInfo.getEstimPart(self.mTrendFrame); + lTrendEstimFrame = self.mSplit.getEstimPart(self.mTrendFrame); est_target = lTrendEstimFrame[self.mSignal].values est_inputs = lTrendEstimFrame[ [self.mTimeInfo.mNormalizedTimeColumn, @@ -394,6 +394,7 @@ def estimateTrend(self): for trend in self.mTrendList: trend.mSignalFrame = self.mSignalFrame; trend.mTimeInfo = self.mTimeInfo; + trend.mSplit = self.mSplit self.addTrendInputVariables(); self.estimateTrends() diff --git a/TS/SignalHierarchy.py b/TS/SignalHierarchy.py index 2d6f0241d..55c87acce 100644 --- a/TS/SignalHierarchy.py +++ b/TS/SignalHierarchy.py @@ -248,14 +248,14 @@ def getEstimPart(self, df): level = 0; signal = list(self.mModels[level].keys())[0]; lEngine = self.mModels[level][signal]; - lFrameFit = lEngine.mSignalDecomposition.mBestModel.mTimeInfo.getEstimPart(df); + lFrameFit = lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mSplit.getEstimPart(df); return lFrameFit; def getValidPart(self, df): level = 0; signal = list(self.mModels[level].keys())[0]; lEngine = self.mModels[level][signal]; - lFrameFit = lEngine.mSignalDecomposition.mBestModel.mTimeInfo.getValidPart(df); + lFrameFit = lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mSplit.getValidPart(df); return lFrameFit; diff --git a/TS/Time.py b/TS/Time.py index 94e735230..eab3be98a 100644 --- a/TS/Time.py +++ b/TS/Time.py @@ -8,6 +8,8 @@ import numpy as np from . import Utils as tsutil +from . import TimeSeries_Cutting as tscut + class cTimeInfo: # class data @@ -36,15 +38,13 @@ def __init__(self): self.mTimeDelta = None; self.mHorizon = None; self.mResolution = cTimeInfo.sRES_NONE + self.mSplit = None def info(self): lStr2 = "TimeVariable='" + self.mTime +"'"; lStr2 += " TimeMin=" + str(self.mTimeMin) +""; lStr2 += " TimeMax=" + str(self.mTimeMax) +""; lStr2 += " TimeDelta=" + str(self.mTimeDelta) +""; - lStr2 += " Estimation = (" + str(self.mEstimStart) + " , " + str(self.mEstimEnd) + ")"; - lStr2 += " Validation = (" + str(self.mValidStart) + " , " + str(self.mValidEnd) + ")"; - lStr2 += " Test = (" + str(self.mTestStart) + " , " + str(self.mTestEnd) + ")"; lStr2 += " Horizon=" + str(self.mHorizon) +""; return lStr2; @@ -109,7 +109,7 @@ def get_date_part_value_computer(self , iDatePart): def analyzeSeasonals(self): if(not self.isPhysicalTime()): return; - lEstim = self.getEstimPart(self.mSignalFrame); + lEstim = self.mSplit.getEstimPart(self.mSignalFrame); lEstimSecond = lEstim[self.mTime].apply(self.get_date_part_value_computer("Second")); if(lEstimSecond.nunique() > 1.0): self.mResolution = cTimeInfo.sRES_SECOND; @@ -132,54 +132,6 @@ def analyzeSeasonals(self): return; self.mResolution = cTimeInfo.sRES_YEAR; - def cutFrame(self, df): - lFrameFit = df[self.mEstimStart : self.mEstimEnd]; - lFrameForecast = df[self.mValidStart : self.mValidEnd]; - lFrameTest = df[self.mTestStart : self.mTestEnd]; - return (lFrameFit, lFrameForecast, lFrameTest) - - def getEstimPart(self, df): - lFrameFit = df[self.mEstimStart : self.mEstimEnd]; - return lFrameFit; - - def getValidPart(self, df): - lFrameValid = df[self.mValidStart : self.mValidEnd]; - return lFrameValid; - - def defineCuttingParameters(self): - lStr = "CUTTING_START SignalVariable='" + self.mSignal +"'"; - # print(lStr); - #print(self.mSignalFrame.head()) - self.mTrainSize = self.mSignalFrame.shape[0]; - assert(self.mTrainSize > 0); - lEstEnd = int((self.mTrainSize - self.mHorizon) * self.mOptions.mEstimRatio); - lValSize = self.mTrainSize - self.mHorizon - lEstEnd; - lTooSmall = False; - # training too small - if((self.mTrainSize < 30) or (lValSize < self.mHorizon)): - lTooSmall = True; - - if(lTooSmall): - self.mEstimStart = 0; - self.mEstimEnd = self.mTrainSize; - self.mValidStart = 0; - self.mValidEnd = self.mTrainSize; - self.mTestStart = 0; - self.mTestEnd = self.mTrainSize; - else: - self.mEstimStart = 0; - self.mEstimEnd = lEstEnd; - self.mValidStart = self.mEstimEnd; - self.mValidEnd = self.mTrainSize - self.mHorizon; - self.mTestStart = self.mValidEnd; - self.mTestEnd = self.mTrainSize; - - lStr = "CUTTING_PARAMETERS " + str(self.mTrainSize) + " Estimation = (" + str(self.mEstimStart) + " , " + str(self.mEstimEnd) + ")"; - lStr += " Validation = (" + str(self.mValidStart) + " , " + str(self.mValidEnd) + ")"; - lStr += " Test = (" + str(self.mTestStart) + " , " + str(self.mTestEnd) + ")"; - #print(lStr); - - pass def checkDateAndSignalTypes(self): # print(self.mSignalFrame.info()); @@ -191,9 +143,6 @@ def checkDateAndSignalTypes(self): raise tsutil.PyAF_Error('Invalid Signal Column Type ' + self.mSignal); - def isOneRowDataset(self): - return ((1 + self.mEstimStart) == self.mEstimEnd) - def adaptTimeDeltaToTimeResolution(self): if(not self.isPhysicalTime()): @@ -218,10 +167,21 @@ def adaptTimeDeltaToTimeResolution(self): return; pass + def get_lags_for_time_resolution(self): + if(not self.isPhysicalTime()): + return None; + lARORder = {} + lARORder[cTimeInfo.sRES_SECOND] = 60 + lARORder[cTimeInfo.sRES_MINUTE] = 60 + lARORder[cTimeInfo.sRES_HOUR] = 24 + lARORder[cTimeInfo.sRES_DAY] = 31 + lARORder[cTimeInfo.sRES_MONTH] = 12 + return lARORder.get(self.mResolution , None) + def computeTimeDelta(self): #print(self.mSignalFrame.columns); # print(self.mSignalFrame[self.mTime].head()); - lEstim = self.mSignalFrame[self.mEstimStart : self.mEstimEnd] + lEstim = self.mSplit.getEstimPart(self.mSignalFrame) lTimeBefore = lEstim[self.mTime].shift(1); # lTimeBefore.fillna(self.mTimeMin, inplace=True) N = lEstim.shape[0]; @@ -256,17 +216,16 @@ def estimate(self): self.mRowNumberColumn = "row_number" self.mNormalizedTimeColumn = self.mTime + "_Normalized"; - self.defineCuttingParameters(); - self.analyzeSeasonals(); - lEstim = self.mSignalFrame[self.mEstimStart : self.mEstimEnd] + lEstim = self.mSplit.getEstimPart(self.mSignalFrame) self.mTimeMin = lEstim[self.mTime].min(); self.mTimeMax = lEstim[self.mTime].max(); if(self.isPhysicalTime()): self.mTimeMin = np.datetime64(self.mTimeMin.to_pydatetime()); self.mTimeMax = np.datetime64(self.mTimeMax.to_pydatetime()); self.mTimeMinMaxDiff = self.mTimeMax - self.mTimeMin; + self.mEstimCount = lEstim.shape[0] # print(self.mTimeMin, self.mTimeMax , self.mTimeMinMaxDiff , (self.mTimeMax - self.mTimeMin)/self.mTimeMinMaxDiff) self.computeTimeDelta(); self.mSignalFrame[self.mNormalizedTimeColumn] = self.compute_normalize_date_column(self.mSignalFrame[self.mTime]) @@ -277,12 +236,14 @@ def dump(self): def compute_normalize_date_column(self, idate_column): - if(self.isOneRowDataset()): + if(self.mEstimCount == 1): return 0.0; return idate_column.apply(self.normalizeTime) @tsutil.cMemoize def normalizeTime(self , iTime): + if(self.mEstimCount == 1): + return 0.0; output = ( iTime- self.mTimeMin) / self.mTimeMinMaxDiff return output diff --git a/TS/TimeSeriesModel.py b/TS/TimeSeriesModel.py index c840d7b71..056354a0d 100644 --- a/TS/TimeSeriesModel.py +++ b/TS/TimeSeriesModel.py @@ -60,7 +60,7 @@ def updatePerfs(self, compute_all_indicators = False): lForecastPerf = tsperf.cPerf(); lTestPerf = tsperf.cPerf(); # self.mModelFrame.to_csv(self.mOutName + "_model_perf.csv"); - (lFrameFit, lFrameForecast, lFrameTest) = self.mTrend.mTimeInfo.cutFrame(self.mModelFrame); + (lFrameFit, lFrameForecast, lFrameTest) = self.mTrend.mSplit.cutFrame(self.mModelFrame); if(compute_all_indicators): From b8d8900d6011058d4759902002e0f6c9d0bcd581 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 14:39:37 +0200 Subject: [PATCH 03/28] Updated log references --- tests/references/demos_demo1.log | 6 +- .../references/exog_test_ozone_exogenous.log | 8 +- .../exog_test_ozone_exogenous_profile.log | 4 +- ..._test_ozone_exogenous_with_categorical.log | 32 ++-- tests/references/func_test_air_passengers.log | 8 +- tests/references/func_test_ar.log | 8 +- tests/references/func_test_const_signal.log | 6 +- tests/references/func_test_cycle.log | 6 +- tests/references/func_test_cycles_full.log | 36 ++-- tests/references/func_test_ozone.log | 8 +- .../references/func_test_ozone_bench_mode.log | 6 +- .../func_test_ozone_with_logging.log | 8 +- .../references/hierarchical_test_grouped.log | 74 ++++---- ...chical_test_grouped_signals_AllMethods.log | 94 +++++----- .../hierarchical_test_grouped_signals_BU.log | 74 ++++---- .../hierarchical_test_grouped_signals_MO.log | 74 ++++---- .../hierarchical_test_grouped_signals_OC.log | 94 +++++----- .../hierarchical_test_grouped_signals_TD.log | 74 ++++---- .../hierarchical_test_hierarchy_AU.log | 134 +++++++------- ...rarchical_test_hierarchy_AU_AllMethods.log | 166 +++++++++--------- .../hierarchical_test_hierarchy_AU_BU.log | 134 +++++++------- .../hierarchical_test_hierarchy_AU_MO.log | 134 +++++++------- .../hierarchical_test_hierarchy_AU_OC.log | 166 +++++++++--------- .../hierarchical_test_hierarchy_AU_TD.log | 134 +++++++------- ..._control_test_ozone_all_models_enabled.log | 8 +- ...l_control_test_ozone_no_models_enabled.log | 8 +- .../perfs_test_ozone_perf_measure_L1.log | 8 +- .../perfs_test_ozone_perf_measure_L2.log | 10 +- .../perfs_test_ozone_perf_measure_MAPE.log | 8 +- .../perfs_test_ozone_perf_measure_MASE.log | 8 +- .../references/real-life_test_sof_example.log | 8 +- .../real-life_test_sof_example2.log | 8 +- .../svr_test_air_passengers_svr.log | 8 +- .../svr_test_air_passengers_svr_only.log | 8 +- tests/references/svr_test_ozone_svr.log | 8 +- tests/references/svr_test_ozone_svr_only.log | 8 +- .../references/time_res_test_ozone_Daily.log | 12 +- .../references/time_res_test_ozone_Hourly.log | 12 +- .../time_res_test_ozone_Minutely.log | 28 ++- .../time_res_test_ozone_Secondly.log | 12 +- .../references/time_res_test_ozone_Weekly.log | 28 ++- ...sformations_test_ozone_transf_anscombe.log | 8 +- ...ansformations_test_ozone_transf_boxcox.log | 8 +- ...ansformations_test_ozone_transf_cumsum.log | 8 +- ...ormations_test_ozone_transf_difference.log | 8 +- ...ansformations_test_ozone_transf_fisher.log | 8 +- ...ransformations_test_ozone_transf_logit.log | 8 +- ...transformations_test_ozone_transf_none.log | 8 +- ...mations_test_ozone_transf_quantization.log | 8 +- ..._test_ozone_transf_relative_difference.log | 8 +- ...est_ozone_transf_relative_difference_1.log | 16 +- .../xgb_test_air_passengers_xgb.log | 8 +- .../xgb_test_air_passengers_xgb_only.log | 8 +- ...assengers_xgb_only_with_custom_options.log | 8 +- tests/references/xgb_test_ozone_xgb.log | 8 +- .../xgb_test_ozone_xgb_exogenous.log | 8 +- tests/references/xgb_test_ozone_xgb_only.log | 8 +- .../xgb_test_ozone_xgbx_exogenous.log | 8 +- 58 files changed, 926 insertions(+), 896 deletions(-) diff --git a/tests/references/demos_demo1.log b/tests/references/demos_demo1.log index fe8f6d743..c68f9037d 100644 --- a/tests/references/demos_demo1.log +++ b/tests/references/demos_demo1.log @@ -1,6 +1,6 @@ INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 34.90267038345337 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2016-01-25T00:00:00.000000 TimeMax=2016-11-05T00:00:00.000000 TimeDelta= Estimation = (0 , 286) Validation = (286 , 358) Test = (358 , 365) Horizon=7 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 9.055707454681396 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2016-01-25T00:00:00.000000 TimeMax=2016-11-05T00:00:00.000000 TimeDelta= Horizon=7 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=-0.621977585679 Max=28.8753725029 Mean=13.9286157889 StdDev=6.67978077852 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=-0.621977585679 Max=28.8753725029 Mean=13.9286157889 StdDev=6.67978077852 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -27,7 +27,7 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Signal_ConstantTrend_residue_zeroCycle_residue_L INFO:pyaf.std:AR_MODEL_COEFF 10 _Signal_ConstantTrend_residue_zeroCycle_residue_Lag8 -0.123655045302 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.8441636562347412 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.715949535369873 Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', diff --git a/tests/references/exog_test_ozone_exogenous.log b/tests/references/exog_test_ozone_exogenous.log index 5576d17d7..0d9ae0b7c 100644 --- a/tests/references/exog_test_ozone_exogenous.log +++ b/tests/references/exog_test_ozone_exogenous.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 32.94221758842468 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 33.120577812194824 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Month_Lag9 -0.269540473746 INFO:pyaf.std:AR_MODEL_COEFF 10 Month_Lag34 -0.26202374967 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.015433549880981 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.30066466331482 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.8455698490142822 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.9578073024749756 Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_ConstantTrend', '_Ozone_ConstantTrend_residue', '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear', diff --git a/tests/references/exog_test_ozone_exogenous_profile.log b/tests/references/exog_test_ozone_exogenous_profile.log index 72f56c050..b22d53d01 100644 --- a/tests/references/exog_test_ozone_exogenous_profile.log +++ b/tests/references/exog_test_ozone_exogenous_profile.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 32.88809132575989 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 33.08267855644226 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' diff --git a/tests/references/exog_test_ozone_exogenous_with_categorical.log b/tests/references/exog_test_ozone_exogenous_with_categorical.log index 205312186..cffc0c6e1 100644 --- a/tests/references/exog_test_ozone_exogenous_with_categorical.log +++ b/tests/references/exog_test_ozone_exogenous_with_categorical.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone2' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3.6 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 5.0 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 6.5 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.3119843006134033 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1959-03-01T00:00:00.000000 TimeDelta= Estimation = (0 , 51) Validation = (0 , 51) Test = (0 , 51) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.243297815322876 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1959-03-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -33,12 +33,12 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Exog4=P_S_Lag7 -0.113199340445 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone2_ConstantTrend_residue_zeroCycle_residue_Lag6 -0.0828864956652 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.164906024932861 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.178022384643555 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0190691947937012 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9936432838439941 INFO:pyaf.std:START_TRAINING 'Ozone2' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.3140249252319336 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1959-03-01T00:00:00.000000 TimeDelta= Estimation = (0 , 51) Validation = (0 , 51) Test = (0 , 51) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.2129361629486084 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1959-03-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -65,12 +65,12 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Exog4=P_S_Lag7 -0.113199340445 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone2_ConstantTrend_residue_zeroCycle_residue_Lag6 -0.0828864956652 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.073339939117432 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.015160083770752 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0178258419036865 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9781792163848877 INFO:pyaf.std:START_TRAINING 'Ozone2' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 8.419843196868896 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1960-12-01T00:00:00.000000 TimeDelta= Estimation = (0 , 72) Validation = (72 , 90) Test = (90 , 102) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 8.439167261123657 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1960-12-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.57450980392 StdDev=4.2494448605 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.57450980392 StdDev=4.2494448605 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -97,9 +97,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Exog3=AQ_Lag8 0.712012454585 INFO:pyaf.std:AR_MODEL_COEFF 10 Exog3=AR_Lag19 -0.308344359759 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 10.244427680969238 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 10.407602071762085 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 2.5160200595855713 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 2.6997621059417725 Forecast Columns Index(['Time', 'Ozone2', '_Ozone2', 'row_number', 'Time_Normalized', '_Ozone2_ConstantTrend', '_Ozone2_ConstantTrend_residue', '_Ozone2_ConstantTrend_residue_zeroCycle', @@ -267,8 +267,8 @@ Forecast Columns Index(['Time', 'Ozone2', '_Ozone2', 'row_number', 'Time_Normal '_Ozone2_TransformedResidue', 'Ozone2_Residue', 'Ozone2_Forecast_Lower_Bound', 'Ozone2_Forecast_Upper_Bound'], dtype='object')INFO:pyaf.std:START_TRAINING 'Ozone2' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 15.597449779510498 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 17.022101640701294 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.54264705882 StdDev=3.82404606238 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.54264705882 StdDev=3.82404606238 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -295,9 +295,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Exog3=AR_Lag43 -1.15781717492 INFO:pyaf.std:AR_MODEL_COEFF 10 Exog2=3_Lag42 -1.15781717492 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 14.307757139205933 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 14.514622449874878 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 4.553619384765625 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 4.721771001815796 RangeIndex: 114 entries, 0 to 113 diff --git a/tests/references/func_test_air_passengers.log b/tests/references/func_test_air_passengers.log index e8d477796..93de2c9c9 100644 --- a/tests/references/func_test_air_passengers.log +++ b/tests/references/func_test_air_passengers.log @@ -1,6 +1,6 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.320451259613037 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Estimation = (0 , 96) Validation = (96 , 120) Test = (120 , 132) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.318359851837158 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -27,9 +27,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag16 -0.16495284213 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.83934760093689 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.906210422515869 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9120266437530518 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.86556077003479 Transformation ... TestMAPE 0 Diff_AirPassengers ... 0.0402 1 _AirPassengers ... 0.0541 diff --git a/tests/references/func_test_ar.log b/tests/references/func_test_ar.log index 3d478fff7..a4c39a53e 100644 --- a/tests/references/func_test_ar.log +++ b/tests/references/func_test_ar.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_TRAINING 'Signal' GENERATING_RANDOM_DATASET Signal_320_D_0_constant_0_None_0.1_20 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 1.591982364654541 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 1.5298266410827637 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=2.39610784268 Mean=1.67864274484 StdDev=0.333168957193 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=2.39610784268 Mean=1.67864274484 StdDev=0.333168957193 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,9 +29,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Signal_ConstantTrend_residue_zeroCycle_residue_L INFO:pyaf.std:AR_MODEL_COEFF 10 _Signal_ConstantTrend_residue_zeroCycle_residue_Lag1 0.0693356346805 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 8.020377159118652 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 8.087761878967285 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.120882272720337 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.111020803451538 Transformation ... TestMAPE 0 _Signal ... 0.0491 diff --git a/tests/references/func_test_const_signal.log b/tests/references/func_test_const_signal.log index 79ec2bbb8..5dcd712ce 100644 --- a/tests/references/func_test_const_signal.log +++ b/tests/references/func_test_const_signal.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_TRAINING 'Signal' GENERATING_RANDOM_DATASET Signal_320_D_0_constant_0_None_0.0_20 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 12.752779245376587 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 5.05426549911499 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=1.0 Mean=1.0 StdDev=0.0 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=1.0 Mean=1.0 StdDev=0.0 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -19,7 +19,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 0 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5129501819610596 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.522942304611206 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', diff --git a/tests/references/func_test_cycle.log b/tests/references/func_test_cycle.log index 0553cdbe5..11243dedb 100644 --- a/tests/references/func_test_cycle.log +++ b/tests/references/func_test_cycle.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_TRAINING 'Signal' GENERATING_RANDOM_DATASET Signal_320_D_0_constant_12_None_0.0_20 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 30.52407145500183 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.462355136871338 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=7.66666666667 Mean=4.31720430108 StdDev=2.06518106451 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=7.66666666667 Mean=4.31720430108 StdDev=2.06518106451 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -19,7 +19,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5989952087402344 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5479764938354492 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', 'cycle_internal', '_Signal_ConstantTrend_residue_bestCycle_byL2', diff --git a/tests/references/func_test_cycles_full.log b/tests/references/func_test_cycles_full.log index 9384580d4..f660a1d6c 100644 --- a/tests/references/func_test_cycles_full.log +++ b/tests/references/func_test_cycles_full.log @@ -4,8 +4,8 @@ GENERATING_RANDOM_DATASET Signal_320_D_0_constant_2_None_0.1_0 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 11.014049530029297 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 9.24626898765564 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=1.51557375313 Mean=1.27712176568 StdDev=0.0990388051357 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=1.51557375313 Mean=1.27712176568 StdDev=0.0990388051357 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -22,10 +22,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 0 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5627505779266357 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5345070362091064 INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 10.904946565628052 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 9.176206111907959 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=8.17904746209 Mean=4.63612900762 StdDev=2.15349946227 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=8.17904746209 Mean=4.63612900762 StdDev=2.15349946227 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -42,10 +42,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5805509090423584 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5446028709411621 INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 10.458885431289673 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.820822715759277 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=8.41065538493 Mean=4.62145809617 StdDev=2.24687069682 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=8.41065538493 Mean=4.62145809617 StdDev=2.24687069682 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -62,7 +62,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5375239849090576 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5665926933288574 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', @@ -252,8 +252,8 @@ Forecasts INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 10.517707824707031 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.966460943222046 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=9.21320058014 Mean=4.7781712573 StdDev=2.21524380204 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=9.21320058014 Mean=4.7781712573 StdDev=2.21524380204 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -270,10 +270,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5537142753601074 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5488097667694092 INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 10.73856234550476 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.993922472000122 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=10.1787044136 Mean=5.37429445291 StdDev=2.55262209414 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=10.1787044136 Mean=5.37429445291 StdDev=2.55262209414 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -290,7 +290,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5548181533813477 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5449862480163574 { "Dataset": { @@ -488,8 +488,8 @@ TEST_CYCLES_END 18 TEST_CYCLES_START 22 GENERATING_RANDOM_DATASET Signal_320_D_0_constant_22_None_0.1_0 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 10.608174562454224 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Estimation = (0 , 240) Validation = (240 , 300) Test = (300 , 310) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.95823335647583 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=10.3787659988 Mean=5.85950905922 StdDev=2.82172533131 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=10.3787659988 Mean=5.85950905922 StdDev=2.82172533131 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -506,7 +506,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5604920387268066 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5599088668823242 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', diff --git a/tests/references/func_test_ozone.log b/tests/references/func_test_ozone.log index 65a472ef5..96402bf62 100644 --- a/tests/references/func_test_ozone.log +++ b/tests/references/func_test_ozone.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.506857395172119 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.18073582649231 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.586544513702393 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.378723382949829 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9944515228271484 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9720091819763184 Transformation ... TestMAPE 0 _Ozone ... 0.1740 1 _Ozone ... 0.3430 diff --git a/tests/references/func_test_ozone_bench_mode.log b/tests/references/func_test_ozone_bench_mode.log index 24fde026e..b6dc61f3e 100644 --- a/tests/references/func_test_ozone_bench_mode.log +++ b/tests/references/func_test_ozone_bench_mode.log @@ -1,6 +1,6 @@ INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 4.242116928100586 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.189746618270874 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Anscombe_' @@ -17,7 +17,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 52 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6285908222198486 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7327265739440918 Month Ozone Time 0 1955-01 2.7 1955-01-01 1 1955-02 2.0 1955-02-01 diff --git a/tests/references/func_test_ozone_with_logging.log b/tests/references/func_test_ozone_with_logging.log index 3742c986e..846e7916b 100644 --- a/tests/references/func_test_ozone_with_logging.log +++ b/tests/references/func_test_ozone_with_logging.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.155322790145874 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.204813003540039 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.347424268722534 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.3500683307647705 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0069434642791748 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9754462242126465 Transformation ... TestMAPE 0 _Ozone ... 0.1740 1 _Ozone ... 0.3430 diff --git a/tests/references/hierarchical_test_grouped.log b/tests/references/hierarchical_test_grouped.log index beb6154e4..43ba47170 100644 --- a/tests/references/hierarchical_test_grouped.log +++ b/tests/references/hierarchical_test_grouped.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_HIERARCHICAL_TRAINING INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_female INFO:pyaf.std:START_TRAINING 'NSW_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.16483998298645 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.5387392044067383 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -20,8 +20,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_male INFO:pyaf.std:START_TRAINING 'NSW_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.1105332374572754 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.4753894805908203 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -39,8 +39,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_female INFO:pyaf.std:START_TRAINING 'VIC_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 1.821120023727417 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.1408274173736572 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -58,8 +58,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_male INFO:pyaf.std:START_TRAINING 'VIC_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 1.840519666671753 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.1548094749450684 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -77,8 +77,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _female INFO:pyaf.std:START_TRAINING '_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 1.8281257152557373 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.1685447692871094 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -96,8 +96,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _male INFO:pyaf.std:START_TRAINING '_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 1.8477795124053955 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.1859285831451416 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -115,8 +115,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 _ INFO:pyaf.std:START_TRAINING '_' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 1.8035731315612793 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.216986656188965 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -133,19 +133,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5896046161651611 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7001125812530518 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6150074005126953 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.70595383644104 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6025068759918213 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6874990463256836 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6095304489135742 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6954128742218018 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6223902702331543 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7013380527496338 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5771889686584473 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7102756500244141 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5646677017211914 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6978254318237305 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Index', 'NSW_female', 'NSW_female_Forecast', 'NSW_male', 'NSW_male_Forecast', 'VIC_female', 'VIC_female_Forecast', 'VIC_male', @@ -175,8 +175,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_BU', 82.5839069971580 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_BU', 82.583906997158081, 0.0683, 82.583906997158081, 0.0683) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_BU', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_BU', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 17.7263081073761 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 20.871493816375732 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -192,7 +192,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=57.1014559463 L2_Forecast=57.1014559463 L2_Test=57 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -208,7 +208,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=71.1664318127 L2_Forecast=71.1664318127 L2_Test=71 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -224,7 +224,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=44.6959597006 L2_Forecast=44.6959597006 L2_Test=44 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -240,7 +240,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=53.6866299677 L2_Forecast=53.6866299677 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,7 +256,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=82.5839069972 L2_Forecast=82.5839069972 L2_Test=82 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -272,7 +272,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=97.2973774622 L2_Forecast=97.2973774622 L2_Test=97 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -290,17 +290,17 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6049273014068604 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7019979953765869 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5921156406402588 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7045199871063232 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6112253665924072 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6887080669403076 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5937657356262207 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6935560703277588 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6061007976531982 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6944966316223145 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6451776027679443 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7033896446228027 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5768332481384277 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.256229639053345 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7098517417907715 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.917750120162964 diff --git a/tests/references/hierarchical_test_grouped_signals_AllMethods.log b/tests/references/hierarchical_test_grouped_signals_AllMethods.log index 89955db50..fa0ee7051 100644 --- a/tests/references/hierarchical_test_grouped_signals_AllMethods.log +++ b/tests/references/hierarchical_test_grouped_signals_AllMethods.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_HIERARCHICAL_TRAINING INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_female INFO:pyaf.std:START_TRAINING 'NSW_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.2844974994659424 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.522425889968872 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -20,8 +20,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_male INFO:pyaf.std:START_TRAINING 'NSW_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.3132259845733643 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.436488151550293 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -39,8 +39,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_female INFO:pyaf.std:START_TRAINING 'VIC_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 1.98891019821167 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.140476703643799 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -58,8 +58,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_male INFO:pyaf.std:START_TRAINING 'VIC_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.116095542907715 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.14540958404541 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -77,8 +77,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _female INFO:pyaf.std:START_TRAINING '_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.1533143520355225 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.163116693496704 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -96,8 +96,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _male INFO:pyaf.std:START_TRAINING '_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.0721328258514404 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.1822350025177 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -115,8 +115,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 _ INFO:pyaf.std:START_TRAINING '_' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.3723092079162598 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.191049575805664 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -133,19 +133,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6768360137939453 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7137701511383057 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6718862056732178 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6938509941101074 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7155060768127441 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.70754075050354 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6523621082305908 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7073922157287598 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7648625373840332 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6880679130554199 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.813776969909668 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6949994564056396 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8005397319793701 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6977365016937256 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Index', 'NSW_female', 'NSW_female_Forecast', 'NSW_male', 'NSW_male_Forecast', 'VIC_female', 'VIC_female_Forecast', 'VIC_male', @@ -189,8 +189,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_BU', 71.166431812682 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_BU', 71.166431812682248, 0.066600000000000006, 71.166431812682248, 0.066600000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_MO', 71.166431812682248, 0.066600000000000006, 71.089560648055354, 0.069900000000000004) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_MO', 71.166431812682248, 0.066600000000000006, 71.089560648055354, 0.069900000000000004) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682234, 0.066600000000000006) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682234, 0.066600000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682262, 0.066600000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682262, 0.066600000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_PHA_TD', 71.166431812682248, 0.066600000000000006, 70.704216894083231, 0.069599999999999995) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_PHA_TD', 71.166431812682248, 0.066600000000000006, 70.704216894083231, 0.069599999999999995) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_AHP_TD', 44.695959700618602, 0.090800000000000006, 42.920214691597465, 0.085999999999999993) @@ -199,8 +199,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_BU', 44.6959597006 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_BU', 44.695959700618602, 0.090800000000000006, 44.695959700618602, 0.090800000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_MO', 44.695959700618602, 0.090800000000000006, 43.077644041671846, 0.0877) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_MO', 44.695959700618602, 0.090800000000000006, 43.077644041671846, 0.0877) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618609, 0.090800000000000006) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618609, 0.090800000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618587, 0.090800000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618587, 0.090800000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_PHA_TD', 44.695959700618602, 0.090800000000000006, 42.289327345627207, 0.084400000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_PHA_TD', 44.695959700618602, 0.090800000000000006, 42.289327345627207, 0.084400000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_male_AHP_TD', 53.686629967694337, 0.085199999999999998, 49.094045713629178, 0.075499999999999998) @@ -219,8 +219,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__BU', 168.23812824865286, 0. INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__BU', 168.23812824865286, 0.058099999999999999, 168.23812824865286, 0.058099999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__MO', 168.23812824865286, 0.058099999999999999, 168.23812824865286, 0.058099999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__MO', 168.23812824865286, 0.058099999999999999, 168.23812824865286, 0.058099999999999999) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.23812824865283, 0.058099999999999999) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.23812824865283, 0.058099999999999999) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.2381282486528, 0.058099999999999999) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.2381282486528, 0.058099999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__PHA_TD', 168.23812824865286, 0.058099999999999999, 168.23812824865286, 0.058099999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__PHA_TD', 168.23812824865286, 0.058099999999999999, 168.23812824865286, 0.058099999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_AHP_TD', 82.583906997158081, 0.0683, 80.930135155259947, 0.065000000000000002) @@ -229,8 +229,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_BU', 82.5839069971580 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_BU', 82.583906997158081, 0.0683, 82.583906997158081, 0.0683) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_MO', 82.583906997158081, 0.0683, 82.583906997158081, 0.0683) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_MO', 82.583906997158081, 0.0683, 82.583906997158081, 0.0683) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158138, 0.0683) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158138, 0.0683) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158095, 0.0683) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158095, 0.0683) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_PHA_TD', 82.583906997158081, 0.0683, 81.160277946402218, 0.065500000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_PHA_TD', 82.583906997158081, 0.0683, 81.160277946402218, 0.065500000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_AHP_TD', 97.29737746217495, 0.058799999999999998, 94.327381811705465, 0.057799999999999997) @@ -239,12 +239,12 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_BU', 97.29737746217495, INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_BU', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_MO', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_MO', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174879, 0.058799999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174879, 0.058799999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174893, 0.058799999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174893, 0.058799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_PHA_TD', 97.29737746217495, 0.058799999999999998, 93.96986777755437, 0.057599999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_PHA_TD', 97.29737746217495, 0.058799999999999998, 93.96986777755437, 0.057599999999999998) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 20.805684566497803 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 20.915048360824585 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -260,7 +260,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=57.1014559463 L2_Forecast=57.1014559463 L2_Test=57 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -276,7 +276,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=71.1664318127 L2_Forecast=71.1664318127 L2_Test=71 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -292,7 +292,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=44.6959597006 L2_Forecast=44.6959597006 L2_Test=44 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -308,7 +308,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=53.6866299677 L2_Forecast=53.6866299677 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -324,7 +324,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=82.5839069972 L2_Forecast=82.5839069972 L2_Test=82 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -340,7 +340,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=97.2973774622 L2_Forecast=97.2973774622 L2_Test=97 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -358,17 +358,17 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7374715805053711 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.693446159362793 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5602030754089355 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6958818435668945 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6013710498809814 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6886551380157471 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5680022239685059 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7021520137786865 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.539874792098999 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7039749622344971 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5468072891235352 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7042884826660156 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6042044162750244 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.214000463485718 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.702643871307373 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.923505783081055 diff --git a/tests/references/hierarchical_test_grouped_signals_BU.log b/tests/references/hierarchical_test_grouped_signals_BU.log index 08ccf5ada..382cf3e4e 100644 --- a/tests/references/hierarchical_test_grouped_signals_BU.log +++ b/tests/references/hierarchical_test_grouped_signals_BU.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_HIERARCHICAL_TRAINING INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_female INFO:pyaf.std:START_TRAINING 'NSW_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.245256185531616 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.5420165061950684 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -20,8 +20,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_male INFO:pyaf.std:START_TRAINING 'NSW_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.471893072128296 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.474104404449463 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -39,8 +39,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_female INFO:pyaf.std:START_TRAINING 'VIC_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.114631175994873 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.1371092796325684 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -58,8 +58,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_male INFO:pyaf.std:START_TRAINING 'VIC_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.336827516555786 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.2076497077941895 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -77,8 +77,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _female INFO:pyaf.std:START_TRAINING '_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.51361346244812 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.4095711708068848 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -96,8 +96,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _male INFO:pyaf.std:START_TRAINING '_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.1348817348480225 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.3939778804779053 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -115,8 +115,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 _ INFO:pyaf.std:START_TRAINING '_' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.009615659713745 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.3931403160095215 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -133,19 +133,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5772018432617188 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7660689353942871 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5798122882843018 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7712769508361816 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6594588756561279 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7907726764678955 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6968309879302979 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7132978439331055 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6005856990814209 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7762060165405273 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5771369934082031 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7793176174163818 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5942213535308838 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7596731185913086 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Index', 'NSW_female', 'NSW_female_Forecast', 'NSW_male', 'NSW_male_Forecast', 'VIC_female', 'VIC_female_Forecast', 'VIC_male', @@ -175,8 +175,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_BU', 82.5839069971580 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_BU', 82.583906997158081, 0.0683, 82.583906997158081, 0.0683) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_BU', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_BU', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 20.246803760528564 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 22.022255182266235 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -192,7 +192,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=57.1014559463 L2_Forecast=57.1014559463 L2_Test=57 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -208,7 +208,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=71.1664318127 L2_Forecast=71.1664318127 L2_Test=71 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -224,7 +224,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=44.6959597006 L2_Forecast=44.6959597006 L2_Test=44 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -240,7 +240,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=53.6866299677 L2_Forecast=53.6866299677 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,7 +256,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=82.5839069972 L2_Forecast=82.5839069972 L2_Test=82 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -272,7 +272,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=97.2973774622 L2_Forecast=97.2973774622 L2_Test=97 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -290,17 +290,17 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5927460193634033 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7501976490020752 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5869519710540771 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7672336101531982 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5625259876251221 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7530517578125 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5492441654205322 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7615008354187012 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6654224395751953 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7091600894927979 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7219107151031494 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6872589588165283 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6569371223449707 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.362427234649658 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6970243453979492 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 5.146662950515747 diff --git a/tests/references/hierarchical_test_grouped_signals_MO.log b/tests/references/hierarchical_test_grouped_signals_MO.log index 378ab7550..ba15224cc 100644 --- a/tests/references/hierarchical_test_grouped_signals_MO.log +++ b/tests/references/hierarchical_test_grouped_signals_MO.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_HIERARCHICAL_TRAINING INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_female INFO:pyaf.std:START_TRAINING 'NSW_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.586878776550293 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.538464307785034 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -20,8 +20,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_male INFO:pyaf.std:START_TRAINING 'NSW_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.4986398220062256 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.4618217945098877 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -39,8 +39,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_female INFO:pyaf.std:START_TRAINING 'VIC_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.08073091506958 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.124992609024048 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -58,8 +58,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_male INFO:pyaf.std:START_TRAINING 'VIC_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.1703062057495117 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.1594557762145996 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -77,8 +77,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _female INFO:pyaf.std:START_TRAINING '_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.169419050216675 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.171907663345337 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -96,8 +96,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _male INFO:pyaf.std:START_TRAINING '_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.1173348426818848 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.194122314453125 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -115,8 +115,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 _ INFO:pyaf.std:START_TRAINING '_' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.0056774616241455 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.232910394668579 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -133,19 +133,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.582587480545044 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7044644355773926 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5709831714630127 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7031056880950928 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5568599700927734 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7138476371765137 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5720460414886475 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6993827819824219 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5845725536346436 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6985678672790527 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5654575824737549 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7043488025665283 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6206798553466797 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6947662830352783 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Index', 'NSW_female', 'NSW_female_Forecast', 'NSW_male', 'NSW_male_Forecast', 'VIC_female', 'VIC_female_Forecast', 'VIC_male', @@ -174,8 +174,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_MO', 82.5839069971580 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_MO', 82.583906997158081, 0.0683, 82.583906997158081, 0.0683) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_MO', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_MO', 97.29737746217495, 0.058799999999999998, 97.29737746217495, 0.058799999999999998) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 19.807015895843506 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 20.903854608535767 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -191,7 +191,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=57.1014559463 L2_Forecast=57.1014559463 L2_Test=57 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -207,7 +207,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=71.1664318127 L2_Forecast=71.1664318127 L2_Test=71 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -223,7 +223,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=44.6959597006 L2_Forecast=44.6959597006 L2_Test=44 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -239,7 +239,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=53.6866299677 L2_Forecast=53.6866299677 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -255,7 +255,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=82.5839069972 L2_Forecast=82.5839069972 L2_Test=82 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -271,7 +271,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=97.2973774622 L2_Forecast=97.2973774622 L2_Test=97 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -289,17 +289,17 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6195220947265625 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6952321529388428 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6092789173126221 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6996872425079346 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.661858320236206 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6936256885528564 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5986747741699219 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7129080295562744 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6075706481933594 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7004766464233398 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5382776260375977 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7028243541717529 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5435795783996582 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.204008340835571 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7202212810516357 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.94658350944519 diff --git a/tests/references/hierarchical_test_grouped_signals_OC.log b/tests/references/hierarchical_test_grouped_signals_OC.log index 0ba5a60cc..7a758afcf 100644 --- a/tests/references/hierarchical_test_grouped_signals_OC.log +++ b/tests/references/hierarchical_test_grouped_signals_OC.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_HIERARCHICAL_TRAINING INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_female INFO:pyaf.std:START_TRAINING 'NSW_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 1.911759376525879 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.565389394760132 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -20,8 +20,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_male INFO:pyaf.std:START_TRAINING 'NSW_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.280447006225586 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.490272045135498 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -39,8 +39,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_female INFO:pyaf.std:START_TRAINING 'VIC_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 1.7747433185577393 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.1841235160827637 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -58,8 +58,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_male INFO:pyaf.std:START_TRAINING 'VIC_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.0632033348083496 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.192969560623169 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -77,8 +77,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _female INFO:pyaf.std:START_TRAINING '_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 1.6510891914367676 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.1991450786590576 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -96,8 +96,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _male INFO:pyaf.std:START_TRAINING '_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 1.6894917488098145 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.2048392295837402 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -115,8 +115,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 _ INFO:pyaf.std:START_TRAINING '_' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 1.71242094039917 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.2193920612335205 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -133,19 +133,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5458979606628418 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7044970989227295 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5749855041503906 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7197303771972656 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6342432498931885 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7052218914031982 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.642179012298584 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7203919887542725 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6669402122497559 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7030758857727051 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6909573078155518 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.713737964630127 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6467025279998779 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.706944465637207 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Index', 'NSW_female', 'NSW_female_Forecast', 'NSW_male', 'NSW_male_Forecast', 'VIC_female', 'VIC_female_Forecast', 'VIC_male', @@ -163,20 +163,20 @@ INFO:pyaf.std:STRUCTURE_LEVEL (2, ['_']) INFO:pyaf.std:MODEL_LEVEL (2, ['_']) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_female_OC', 57.101455946293008, 0.069400000000000003, 57.101455946293022, 0.069400000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_female_OC', 57.101455946293008, 0.069400000000000003, 57.101455946293022, 0.069400000000000003) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682234, 0.066600000000000006) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682234, 0.066600000000000006) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618609, 0.090800000000000006) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618609, 0.090800000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682262, 0.066600000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_male_OC', 71.166431812682248, 0.066600000000000006, 71.166431812682262, 0.066600000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618587, 0.090800000000000006) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_female_OC', 44.695959700618602, 0.090800000000000006, 44.695959700618587, 0.090800000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_male_OC', 53.686629967694337, 0.085199999999999998, 53.686629967694337, 0.085199999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_male_OC', 53.686629967694337, 0.085199999999999998, 53.686629967694337, 0.085199999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.23812824865283, 0.058099999999999999) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.23812824865283, 0.058099999999999999) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158138, 0.0683) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158138, 0.0683) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174879, 0.058799999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174879, 0.058799999999999998) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 17.740389585494995 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.2381282486528, 0.058099999999999999) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('__OC', 168.23812824865286, 0.058099999999999999, 168.2381282486528, 0.058099999999999999) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158095, 0.0683) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_female_OC', 82.583906997158081, 0.0683, 82.583906997158095, 0.0683) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174893, 0.058799999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_OC', 97.29737746217495, 0.058799999999999998, 97.297377462174893, 0.058799999999999998) +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 21.143808841705322 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -192,7 +192,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=57.1014559463 L2_Forecast=57.1014559463 L2_Test=57 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -208,7 +208,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=71.1664318127 L2_Forecast=71.1664318127 L2_Test=71 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -224,7 +224,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=44.6959597006 L2_Forecast=44.6959597006 L2_Test=44 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -240,7 +240,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=53.6866299677 L2_Forecast=53.6866299677 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,7 +256,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=82.5839069972 L2_Forecast=82.5839069972 L2_Test=82 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -272,7 +272,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=97.2973774622 L2_Forecast=97.2973774622 L2_Test=97 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -290,17 +290,17 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7632837295532227 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7171492576599121 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7572920322418213 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7184898853302002 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6207911968231201 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7132527828216553 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6179215908050537 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7116947174072266 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6066980361938477 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7275238037109375 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6579110622406006 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7321958541870117 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7010514736175537 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.760763645172119 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7133872509002686 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 5.054932594299316 diff --git a/tests/references/hierarchical_test_grouped_signals_TD.log b/tests/references/hierarchical_test_grouped_signals_TD.log index ac5a9c5ad..4d04b93d7 100644 --- a/tests/references/hierarchical_test_grouped_signals_TD.log +++ b/tests/references/hierarchical_test_grouped_signals_TD.log @@ -1,8 +1,8 @@ INFO:pyaf.std:START_HIERARCHICAL_TRAINING INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_female INFO:pyaf.std:START_TRAINING 'NSW_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 1.923161268234253 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_female' 2.5396759510040283 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -20,8 +20,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW_male INFO:pyaf.std:START_TRAINING 'NSW_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 1.8983802795410156 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_male' 2.449594497680664 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -39,8 +39,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_female INFO:pyaf.std:START_TRAINING 'VIC_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 1.6709227561950684 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_female' 2.1529462337493896 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -58,8 +58,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC_male INFO:pyaf.std:START_TRAINING 'VIC_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 1.6717073917388916 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_male' 2.1686859130859375 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -77,8 +77,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _female INFO:pyaf.std:START_TRAINING '_female' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 1.6564664840698242 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_female' 2.195401668548584 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -96,8 +96,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 _male INFO:pyaf.std:START_TRAINING '_male' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 1.5696053504943848 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_male' 2.185119152069092 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -115,8 +115,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 _ INFO:pyaf.std:START_TRAINING '_' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 1.6097743511199951 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS '_' 2.2073874473571777 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -133,19 +133,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5204076766967773 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7138917446136475 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5179944038391113 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6997189521789551 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5118796825408936 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7097678184509277 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.4826045036315918 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7106904983520508 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.4930868148803711 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7016005516052246 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5117874145507812 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7065746784210205 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5616927146911621 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7279970645904541 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Index', 'NSW_female', 'NSW_female_Forecast', 'NSW_male', 'NSW_male_Forecast', 'VIC_female', 'VIC_female_Forecast', 'VIC_male', @@ -192,8 +192,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_AHP_TD', 97.29737746217 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_AHP_TD', 97.29737746217495, 0.058799999999999998, 94.327381811705465, 0.057799999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('_male_PHA_TD', 97.29737746217495, 0.058799999999999998, 93.96986777755437, 0.057599999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('_male_PHA_TD', 97.29737746217495, 0.058799999999999998, 93.96986777755437, 0.057599999999999998) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 15.759858131408691 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 21.0010404586792 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_female' Min=270 Max=1000 Mean=650.93220339 StdDev=208.335442065 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -209,7 +209,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=57.1014559463 L2_Forecast=57.1014559463 L2_Test=57 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_male' Min=349 Max=1264 Mean=881.830508475 StdDev=269.811180212 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -225,7 +225,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=71.1664318127 L2_Forecast=71.1664318127 L2_Test=71 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_female' Min=174 Max=656 Mean=425.813559322 StdDev=122.350216221 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -241,7 +241,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=44.6959597006 L2_Forecast=44.6959597006 L2_Test=44 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_male' Min=253 Max=841 Mean=560.271186441 StdDev=158.16756085 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -257,7 +257,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=53.6866299677 L2_Forecast=53.6866299677 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__female' Min=456 Max=1568 Mean=1076.74576271 StdDev=324.580542522 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -273,7 +273,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=82.5839069972 L2_Forecast=82.5839069972 L2_Test=82 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__male' Min=602 Max=2045 Mean=1442.10169492 StdDev=422.147162665 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -289,7 +289,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=97.2973774622 L2_Forecast=97.2973774622 L2_Test=97 INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Estimation = (0 , 59) Validation = (0 , 59) Test = (0 , 59) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Index' TimeMin=1933 TimeMax=1991 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='_' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='__' Min=1058 Max=3613 Mean=2518.84745763 StdDev=745.111885889 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -307,17 +307,17 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5105240345001221 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7015252113342285 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5440244674682617 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7015774250030518 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5451962947845459 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7206199169158936 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5570292472839355 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7055749893188477 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5504539012908936 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7032792568206787 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5210943222045898 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7193789482116699 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5263867378234863 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 3.785754442214966 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7034015655517578 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 4.978905439376831 diff --git a/tests/references/hierarchical_test_hierarchy_AU.log b/tests/references/hierarchical_test_hierarchy_AU.log index a435dc243..e5e68eed0 100644 --- a/tests/references/hierarchical_test_hierarchy_AU.log +++ b/tests/references/hierarchical_test_hierarchy_AU.log @@ -10,8 +10,8 @@ INFO:pyaf.std:START_TRAINING 'BrisbaneGC' 5 QLD QLD_State Australia 6 Capitals Other_State Australia 7 Other Other_State Australia -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 2.6677374839782715 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.19014048576355 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,8 +29,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Capitals INFO:pyaf.std:START_TRAINING 'Capitals' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 2.5714516639709473 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.1403486728668213 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -48,8 +48,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Melbourne INFO:pyaf.std:START_TRAINING 'Melbourne' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.3299169540405273 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.8166918754577637 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -67,8 +67,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW INFO:pyaf.std:START_TRAINING 'NSW' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.3695356845855713 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.878833770751953 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -86,8 +86,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Other INFO:pyaf.std:START_TRAINING 'Other' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.4042365550994873 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.8740906715393066 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -105,8 +105,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 QLD INFO:pyaf.std:START_TRAINING 'QLD' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.4693217277526855 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.8745596408843994 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -124,8 +124,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Sydney INFO:pyaf.std:START_TRAINING 'Sydney' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.4064791202545166 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.932394504547119 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -143,8 +143,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC INFO:pyaf.std:START_TRAINING 'VIC' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.3230667114257812 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.971505641937256 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -162,8 +162,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 NSW_State INFO:pyaf.std:START_TRAINING 'NSW_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.3426363468170166 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.9974968433380127 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -181,8 +181,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 Other_State INFO:pyaf.std:START_TRAINING 'Other_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 2.304828405380249 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 2.9813544750213623 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -200,8 +200,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 QLD_State INFO:pyaf.std:START_TRAINING 'QLD_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 2.29996919631958 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.0307023525238037 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -219,8 +219,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 VIC_State INFO:pyaf.std:START_TRAINING 'VIC_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 2.3875725269317627 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.039418935775757 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -238,8 +238,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 Australia INFO:pyaf.std:START_TRAINING 'Australia' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 2.3986387252807617 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.0659749507904053 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,31 +256,31 @@ INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.718153715133667 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8726398944854736 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6656038761138916 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8842751979827881 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.674811840057373 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.875136137008667 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6593666076660156 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9065952301025391 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6660223007202148 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9184174537658691 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6600849628448486 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9199960231781006 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6997237205505371 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9139833450317383 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6740360260009766 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8998000621795654 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6973817348480225 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9056820869445801 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6841049194335938 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.889991044998169 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7290477752685547 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8782393932342529 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.750377893447876 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8860170841217041 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7480442523956299 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8904995918273926 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Date', 'BrisbaneGC', 'BrisbaneGC_Forecast', 'Capitals', 'Capitals_Forecast', 'Melbourne', 'Melbourne_Forecast', 'NSW', @@ -327,8 +327,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_BU', 523.82921006976505, INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_BU', 523.82921006976505, 0.052299999999999999, 523.82921006976505, 0.052299999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_BU', 672.96162994029669, 0.041700000000000001, 672.96162994029669, 0.041700000000000001) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_BU', 672.96162994029669, 0.041700000000000001, 672.96162994029669, 0.041700000000000001) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 40.531062841415405 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 50.60356688499451 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -344,7 +344,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=600.347069041 L2_Forecast=600.347069041 L2_Test=60 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -360,7 +360,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=598.206752036 L2_Forecast=598.206752036 L2_Test=59 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -376,7 +376,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=422.181284746 L2_Forecast=422.181284746 L2_Test=42 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -392,7 +392,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=977.95905287 L2_Forecast=977.95905287 L2_Test=977. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -408,7 +408,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=952.878184613 L2_Forecast=952.878184613 L2_Test=95 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -424,7 +424,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=904.689572804 L2_Forecast=904.689572804 L2_Test=90 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -440,7 +440,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=530.707402809 L2_Forecast=530.707402809 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -456,7 +456,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=523.82921007 L2_Forecast=523.82921007 L2_Test=523. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -472,7 +472,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=966.628364508 L2_Forecast=966.628364508 L2_Test=96 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -488,7 +488,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1190.60075467 L2_Forecast=1190.60075467 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -504,7 +504,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1148.11868393 L2_Forecast=1148.11868393 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -520,7 +520,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=672.96162994 L2_Forecast=672.96162994 L2_Test=672. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -538,29 +538,29 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6963310241699219 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8834202289581299 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6834945678710938 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8889424800872803 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7366621494293213 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8785772323608398 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6932692527770996 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8807885646820068 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6974236965179443 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.869051456451416 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7146317958831787 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8812267780303955 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7406520843505859 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8959712982177734 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.728837251663208 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8842177391052246 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7072007656097412 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8964848518371582 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.726161003112793 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8842248916625977 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7065691947937012 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8828098773956299 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7141280174255371 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8693029880523682 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7118320465087891 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 9.30491042137146 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8774223327636719 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.510932922363281 diff --git a/tests/references/hierarchical_test_hierarchy_AU_AllMethods.log b/tests/references/hierarchical_test_hierarchy_AU_AllMethods.log index a98afd32c..0068fb1ea 100644 --- a/tests/references/hierarchical_test_hierarchy_AU_AllMethods.log +++ b/tests/references/hierarchical_test_hierarchy_AU_AllMethods.log @@ -10,8 +10,8 @@ INFO:pyaf.std:START_TRAINING 'BrisbaneGC' 5 QLD QLD_State Australia 6 Capitals Other_State Australia 7 Other Other_State Australia -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 2.6735997200012207 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.2010252475738525 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,8 +29,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Capitals INFO:pyaf.std:START_TRAINING 'Capitals' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 2.6750593185424805 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.1551361083984375 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -48,8 +48,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Melbourne INFO:pyaf.std:START_TRAINING 'Melbourne' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.364100933074951 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.844541311264038 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -67,8 +67,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW INFO:pyaf.std:START_TRAINING 'NSW' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.4499144554138184 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.8734610080718994 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -86,8 +86,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Other INFO:pyaf.std:START_TRAINING 'Other' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.39497709274292 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.9000494480133057 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -105,8 +105,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 QLD INFO:pyaf.std:START_TRAINING 'QLD' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.3535280227661133 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.917360782623291 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -124,8 +124,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Sydney INFO:pyaf.std:START_TRAINING 'Sydney' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.323740005493164 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.963268756866455 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -143,8 +143,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC INFO:pyaf.std:START_TRAINING 'VIC' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.3115310668945312 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.9652841091156006 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -162,8 +162,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 NSW_State INFO:pyaf.std:START_TRAINING 'NSW_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.3929295539855957 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 3.0165321826934814 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -181,8 +181,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 Other_State INFO:pyaf.std:START_TRAINING 'Other_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 2.3267855644226074 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 3.004302501678467 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -200,8 +200,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 QLD_State INFO:pyaf.std:START_TRAINING 'QLD_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 2.3342041969299316 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.229910373687744 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -219,8 +219,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 VIC_State INFO:pyaf.std:START_TRAINING 'VIC_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 2.400965690612793 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.0402894020080566 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -238,8 +238,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 Australia INFO:pyaf.std:START_TRAINING 'Australia' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 2.4127838611602783 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.0568573474884033 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,31 +256,31 @@ INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.764859676361084 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8763697147369385 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7267112731933594 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9110250473022461 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7473981380462646 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8861193656921387 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7359139919281006 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8993988037109375 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7898850440979004 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8758299350738525 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8391830921173096 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8752515316009521 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7509853839874268 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9001715183258057 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7495965957641602 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8970479965209961 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7589302062988281 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8945238590240479 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6852774620056152 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8812434673309326 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.713109016418457 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8770382404327393 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7408626079559326 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8935673236846924 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7771201133728027 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8885445594787598 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Date', 'BrisbaneGC', 'BrisbaneGC_Forecast', 'Capitals', 'Capitals_Forecast', 'Melbourne', 'Melbourne_Forecast', 'NSW', @@ -330,8 +330,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_BU', 2822.971265988 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_BU', 2822.9712659882034, 0.032099999999999997, 2645.3582611278225, 0.030599999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_MO', 2822.9712659882034, 0.032099999999999997, 2645.3582611278225, 0.030599999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_MO', 2822.9712659882034, 0.032099999999999997, 2645.3582611278225, 0.030599999999999999) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.1986502456098, 0.0315) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.1986502456098, 0.0315) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.198650245608, 0.0315) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.198650245608, 0.0315) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_PHA_TD', 2822.9712659882034, 0.032099999999999997, 2822.9712659882034, 0.032099999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_PHA_TD', 2822.9712659882034, 0.032099999999999997, 2822.9712659882034, 0.032099999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_AHP_TD', 600.34706904072175, 0.061600000000000002, 680.98950000884975, 0.073899999999999993) @@ -340,8 +340,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_BU', 600.347069040 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_BU', 600.34706904072175, 0.061600000000000002, 600.34706904072175, 0.061600000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_MO', 600.34706904072175, 0.061600000000000002, 900.93302351886757, 0.096100000000000005) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_MO', 600.34706904072175, 0.061600000000000002, 900.93302351886757, 0.096100000000000005) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203934, 0.0625) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203934, 0.0625) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203922, 0.0625) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203922, 0.0625) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_PHA_TD', 600.34706904072175, 0.061600000000000002, 673.69968407392821, 0.071800000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_PHA_TD', 600.34706904072175, 0.061600000000000002, 673.69968407392821, 0.071800000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_AHP_TD', 598.20675203629901, 0.060199999999999997, 631.61328727729347, 0.063700000000000007) @@ -350,8 +350,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_BU', 598.20675203629 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_BU', 598.20675203629901, 0.060199999999999997, 598.20675203629901, 0.060199999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_MO', 598.20675203629901, 0.060199999999999997, 704.54416917169897, 0.0688) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_MO', 598.20675203629901, 0.060199999999999997, 704.54416917169897, 0.0688) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009597004, 0.059900000000000002) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009597004, 0.059900000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009596981, 0.059900000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009596981, 0.059900000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_PHA_TD', 598.20675203629901, 0.060199999999999997, 629.60917306687554, 0.063100000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_PHA_TD', 598.20675203629901, 0.060199999999999997, 629.60917306687554, 0.063100000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_AHP_TD', 422.18128474635472, 0.076999999999999999, 476.84114589908995, 0.084500000000000006) @@ -360,8 +360,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_BU', 422.1812847463 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_BU', 422.18128474635472, 0.076999999999999999, 422.18128474635472, 0.076999999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_MO', 422.18128474635472, 0.076999999999999999, 830.15754000666095, 0.14050000000000001) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_MO', 422.18128474635472, 0.076999999999999999, 830.15754000666095, 0.14050000000000001) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627889, 0.075999999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627889, 0.075999999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627895, 0.075999999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627895, 0.075999999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_PHA_TD', 422.18128474635472, 0.076999999999999999, 466.08440349899377, 0.081299999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_PHA_TD', 422.18128474635472, 0.076999999999999999, 466.08440349899377, 0.081299999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_AHP_TD', 977.95905287026676, 0.046899999999999997, 1739.2925502694779, 0.087300000000000003) @@ -390,8 +390,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_BU', 952.87818461267318 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_BU', 952.87818461267318, 0.0693, 952.87818461267318, 0.0693) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_MO', 952.87818461267318, 0.0693, 1022.9897374083309, 0.075800000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_MO', 952.87818461267318, 0.0693, 1022.9897374083309, 0.075800000000000006) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.1642193394174, 0.070400000000000004) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.1642193394174, 0.070400000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.16421933941763, 0.070400000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.16421933941763, 0.070400000000000004) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_PHA_TD', 952.87818461267318, 0.0693, 1321.3486040239918, 0.099900000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_PHA_TD', 952.87818461267318, 0.0693, 1321.3486040239918, 0.099900000000000003) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_AHP_TD', 1190.600754671688, 0.051499999999999997, 1554.1088163643026, 0.069099999999999995) @@ -400,8 +400,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_BU', 1190.6007546 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_BU', 1190.600754671688, 0.051499999999999997, 1190.6007546716883, 0.051499999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_MO', 1190.600754671688, 0.051499999999999997, 1190.600754671688, 0.051499999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_MO', 1190.600754671688, 0.051499999999999997, 1190.600754671688, 0.051499999999999997) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412154, 0.052400000000000002) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412154, 0.052400000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412152, 0.052400000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412152, 0.052400000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_PHA_TD', 1190.600754671688, 0.051499999999999997, 1547.7234934043083, 0.069699999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_PHA_TD', 1190.600754671688, 0.051499999999999997, 1547.7234934043083, 0.069699999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_AHP_TD', 904.68957280411701, 0.066299999999999998, 2141.7282120500249, 0.15179999999999999) @@ -420,8 +420,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_BU', 1148.118683933 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_BU', 1148.1186839332831, 0.050799999999999998, 1148.1186839332831, 0.050799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_MO', 1148.1186839332831, 0.050799999999999998, 1148.1186839332831, 0.050799999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_MO', 1148.1186839332831, 0.050799999999999998, 1148.1186839332831, 0.050799999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462946, 0.0504) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462946, 0.0504) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462948, 0.0504) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462948, 0.0504) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_PHA_TD', 1148.1186839332831, 0.050799999999999998, 2501.5574987449436, 0.1037) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_PHA_TD', 1148.1186839332831, 0.050799999999999998, 2501.5574987449436, 0.1037) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_AHP_TD', 530.70740280865039, 0.065600000000000006, 733.51366578654836, 0.094399999999999998) @@ -430,8 +430,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_BU', 530.7074028086503 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_BU', 530.70740280865039, 0.065600000000000006, 530.70740280865039, 0.065600000000000006) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_MO', 530.70740280865039, 0.065600000000000006, 761.83076479501506, 0.089200000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_MO', 530.70740280865039, 0.065600000000000006, 761.83076479501506, 0.089200000000000002) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.39118452010518, 0.066500000000000004) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.39118452010518, 0.066500000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.3911845201053, 0.066500000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.3911845201053, 0.066500000000000004) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_PHA_TD', 530.70740280865039, 0.065600000000000006, 731.2404751274405, 0.093799999999999994) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_PHA_TD', 530.70740280865039, 0.065600000000000006, 731.2404751274405, 0.093799999999999994) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_AHP_TD', 523.82921006976505, 0.052299999999999999, 1962.1259782024194, 0.17449999999999999) @@ -454,8 +454,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_OC', 672.9616299402 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_OC', 672.96162994029669, 0.041700000000000001, 702.63546499098516, 0.043900000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_PHA_TD', 672.96162994029669, 0.041700000000000001, 1917.0990564356034, 0.11849999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_PHA_TD', 672.96162994029669, 0.041700000000000001, 1917.0990564356034, 0.11849999999999999) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 41.751240730285645 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 51.14040541648865 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -471,7 +471,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=600.347069041 L2_Forecast=600.347069041 L2_Test=60 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -487,7 +487,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=598.206752036 L2_Forecast=598.206752036 L2_Test=59 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -503,7 +503,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=422.181284746 L2_Forecast=422.181284746 L2_Test=42 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -519,7 +519,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=977.95905287 L2_Forecast=977.95905287 L2_Test=977. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -535,7 +535,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=952.878184613 L2_Forecast=952.878184613 L2_Test=95 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -551,7 +551,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=904.689572804 L2_Forecast=904.689572804 L2_Test=90 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -567,7 +567,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=530.707402809 L2_Forecast=530.707402809 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -583,7 +583,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=523.82921007 L2_Forecast=523.82921007 L2_Test=523. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -599,7 +599,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=966.628364508 L2_Forecast=966.628364508 L2_Test=96 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -615,7 +615,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1190.60075467 L2_Forecast=1190.60075467 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -631,7 +631,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1148.11868393 L2_Forecast=1148.11868393 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -647,7 +647,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=672.96162994 L2_Forecast=672.96162994 L2_Test=672. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -665,29 +665,29 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7647361755371094 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8801169395446777 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7787661552429199 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9118897914886475 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7679908275604248 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8909027576446533 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7774312496185303 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8994696140289307 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7748956680297852 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8988730907440186 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7567071914672852 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8786184787750244 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7514176368713379 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9073452949523926 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7555124759674072 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8894863128662109 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8011887073516846 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8943030834197998 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7823770046234131 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.893925666809082 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7757790088653564 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8930730819702148 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.772197961807251 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8956799507141113 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7861661911010742 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 10.137825965881348 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8991062641143799 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.692790031433105 diff --git a/tests/references/hierarchical_test_hierarchy_AU_BU.log b/tests/references/hierarchical_test_hierarchy_AU_BU.log index 596204cdf..005040605 100644 --- a/tests/references/hierarchical_test_hierarchy_AU_BU.log +++ b/tests/references/hierarchical_test_hierarchy_AU_BU.log @@ -10,8 +10,8 @@ INFO:pyaf.std:START_TRAINING 'BrisbaneGC' 5 QLD QLD_State Australia 6 Capitals Other_State Australia 7 Other Other_State Australia -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.1843221187591553 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.223299264907837 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,8 +29,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Capitals INFO:pyaf.std:START_TRAINING 'Capitals' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 2.6398274898529053 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.1431519985198975 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -48,8 +48,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Melbourne INFO:pyaf.std:START_TRAINING 'Melbourne' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.3307690620422363 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.8228156566619873 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -67,8 +67,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW INFO:pyaf.std:START_TRAINING 'NSW' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.379206657409668 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.8481338024139404 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -86,8 +86,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Other INFO:pyaf.std:START_TRAINING 'Other' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.347949743270874 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.858350992202759 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -105,8 +105,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 QLD INFO:pyaf.std:START_TRAINING 'QLD' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.249615430831909 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.9227914810180664 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -124,8 +124,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Sydney INFO:pyaf.std:START_TRAINING 'Sydney' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.3161234855651855 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.934680461883545 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -143,8 +143,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC INFO:pyaf.std:START_TRAINING 'VIC' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.2423782348632812 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.949063301086426 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -162,8 +162,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 NSW_State INFO:pyaf.std:START_TRAINING 'NSW_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.2887141704559326 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.9940972328186035 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -181,8 +181,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 Other_State INFO:pyaf.std:START_TRAINING 'Other_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 2.44301700592041 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 3.00339674949646 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -200,8 +200,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 QLD_State INFO:pyaf.std:START_TRAINING 'QLD_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 2.4488179683685303 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.0237319469451904 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -219,8 +219,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 VIC_State INFO:pyaf.std:START_TRAINING 'VIC_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 2.3940834999084473 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.0092506408691406 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -238,8 +238,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 Australia INFO:pyaf.std:START_TRAINING 'Australia' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 2.5089893341064453 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.0763320922851562 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,31 +256,31 @@ INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7691729068756104 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8952016830444336 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7722597122192383 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8887674808502197 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7509605884552002 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8787789344787598 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7243556976318359 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8779122829437256 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7118756771087646 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.87738037109375 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7546091079711914 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9022419452667236 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7529969215393066 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9177534580230713 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7763471603393555 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9091522693634033 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7926678657531738 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8987882137298584 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8095176219940186 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8868317604064941 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7935717105865479 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8693900108337402 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7740881443023682 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9029440879821777 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7999045848846436 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8809792995452881 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Date', 'BrisbaneGC', 'BrisbaneGC_Forecast', 'Capitals', 'Capitals_Forecast', 'Melbourne', 'Melbourne_Forecast', 'NSW', @@ -327,8 +327,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_BU', 523.82921006976505, INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_BU', 523.82921006976505, 0.052299999999999999, 523.82921006976505, 0.052299999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_BU', 672.96162994029669, 0.041700000000000001, 672.96162994029669, 0.041700000000000001) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_BU', 672.96162994029669, 0.041700000000000001, 672.96162994029669, 0.041700000000000001) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 42.00220084190369 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 50.563440799713135 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -344,7 +344,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=600.347069041 L2_Forecast=600.347069041 L2_Test=60 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -360,7 +360,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=598.206752036 L2_Forecast=598.206752036 L2_Test=59 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -376,7 +376,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=422.181284746 L2_Forecast=422.181284746 L2_Test=42 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -392,7 +392,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=977.95905287 L2_Forecast=977.95905287 L2_Test=977. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -408,7 +408,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=952.878184613 L2_Forecast=952.878184613 L2_Test=95 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -424,7 +424,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=904.689572804 L2_Forecast=904.689572804 L2_Test=90 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -440,7 +440,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=530.707402809 L2_Forecast=530.707402809 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -456,7 +456,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=523.82921007 L2_Forecast=523.82921007 L2_Test=523. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -472,7 +472,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=966.628364508 L2_Forecast=966.628364508 L2_Test=96 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -488,7 +488,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1190.60075467 L2_Forecast=1190.60075467 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -504,7 +504,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1148.11868393 L2_Forecast=1148.11868393 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -520,7 +520,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=672.96162994 L2_Forecast=672.96162994 L2_Test=672. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -538,29 +538,29 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7486205101013184 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8764557838439941 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7762210369110107 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.874929666519165 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8055465221405029 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8796176910400391 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.808884859085083 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8835024833679199 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8022902011871338 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8710968494415283 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8023815155029297 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8768796920776367 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8138706684112549 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8790249824523926 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8122973442077637 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9018282890319824 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7614879608154297 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8916118144989014 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7250757217407227 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8926475048065186 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7337872982025146 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8829443454742432 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8851604461669922 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.883507490158081 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8803627490997314 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 10.406898736953735 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8904542922973633 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.521759033203125 diff --git a/tests/references/hierarchical_test_hierarchy_AU_MO.log b/tests/references/hierarchical_test_hierarchy_AU_MO.log index b77cc0a1d..673f7ef30 100644 --- a/tests/references/hierarchical_test_hierarchy_AU_MO.log +++ b/tests/references/hierarchical_test_hierarchy_AU_MO.log @@ -10,8 +10,8 @@ INFO:pyaf.std:START_TRAINING 'BrisbaneGC' 5 QLD QLD_State Australia 6 Capitals Other_State Australia 7 Other Other_State Australia -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.4005885124206543 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.2136340141296387 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,8 +29,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Capitals INFO:pyaf.std:START_TRAINING 'Capitals' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.2366983890533447 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.1311116218566895 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -48,8 +48,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Melbourne INFO:pyaf.std:START_TRAINING 'Melbourne' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 3.0985300540924072 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.8448257446289062 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -67,8 +67,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW INFO:pyaf.std:START_TRAINING 'NSW' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.5921781063079834 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.8595659732818604 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -86,8 +86,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Other INFO:pyaf.std:START_TRAINING 'Other' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.8097004890441895 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.8773040771484375 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -105,8 +105,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 QLD INFO:pyaf.std:START_TRAINING 'QLD' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.947005033493042 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.8745856285095215 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -124,8 +124,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Sydney INFO:pyaf.std:START_TRAINING 'Sydney' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 3.319147825241089 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.9413986206054688 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -143,8 +143,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC INFO:pyaf.std:START_TRAINING 'VIC' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 3.4084889888763428 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.955098867416382 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -162,8 +162,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 NSW_State INFO:pyaf.std:START_TRAINING 'NSW_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 3.3899435997009277 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.9741601943969727 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -181,8 +181,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 Other_State INFO:pyaf.std:START_TRAINING 'Other_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 3.550400733947754 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 2.9693994522094727 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -200,8 +200,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 QLD_State INFO:pyaf.std:START_TRAINING 'QLD_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.6363139152526855 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.0177948474884033 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -219,8 +219,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 VIC_State INFO:pyaf.std:START_TRAINING 'VIC_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.5060205459594727 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.0257301330566406 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -238,8 +238,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 Australia INFO:pyaf.std:START_TRAINING 'Australia' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.615936517715454 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.3194189071655273 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,31 +256,31 @@ INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1486539840698242 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9668459892272949 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0003325939178467 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9623851776123047 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2404379844665527 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9479408264160156 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2369029521942139 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9873204231262207 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0980815887451172 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9553737640380859 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.848973274230957 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9320306777954102 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9135217666625977 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9478230476379395 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2081701755523682 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.93137526512146 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2755956649780273 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9840505123138428 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2071151733398438 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9889824390411377 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2178726196289062 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0056862831115723 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1334316730499268 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9591319561004639 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8972146511077881 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9837026596069336 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Date', 'BrisbaneGC', 'BrisbaneGC_Forecast', 'Capitals', 'Capitals_Forecast', 'Melbourne', 'Melbourne_Forecast', 'NSW', @@ -327,8 +327,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_MO', 523.82921006976505, INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_MO', 523.82921006976505, 0.052299999999999999, 886.18369730104007, 0.082500000000000004) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_MO', 672.96162994029669, 0.041700000000000001, 672.96162994029669, 0.041700000000000001) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_MO', 672.96162994029669, 0.041700000000000001, 672.96162994029669, 0.041700000000000001) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 57.273128032684326 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 51.75096249580383 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -344,7 +344,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=600.347069041 L2_Forecast=600.347069041 L2_Test=60 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -360,7 +360,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=598.206752036 L2_Forecast=598.206752036 L2_Test=59 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -376,7 +376,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=422.181284746 L2_Forecast=422.181284746 L2_Test=42 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -392,7 +392,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=977.95905287 L2_Forecast=977.95905287 L2_Test=977. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -408,7 +408,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=952.878184613 L2_Forecast=952.878184613 L2_Test=95 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -424,7 +424,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=904.689572804 L2_Forecast=904.689572804 L2_Test=90 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -440,7 +440,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=530.707402809 L2_Forecast=530.707402809 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -456,7 +456,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=523.82921007 L2_Forecast=523.82921007 L2_Test=523. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -472,7 +472,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=966.628364508 L2_Forecast=966.628364508 L2_Test=96 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -488,7 +488,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1190.60075467 L2_Forecast=1190.60075467 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -504,7 +504,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1148.11868393 L2_Forecast=1148.11868393 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -520,7 +520,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=672.96162994 L2_Forecast=672.96162994 L2_Test=672. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -538,29 +538,29 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0383388996124268 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8871588706970215 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8659648895263672 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8737382888793945 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.098339319229126 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8799684047698975 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1128814220428467 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8925638198852539 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9944174289703369 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8721835613250732 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2357759475708008 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8775465488433838 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1189525127410889 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8877770900726318 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8961818218231201 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8804905414581299 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.016289472579956 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8846969604492188 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0875792503356934 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8921935558319092 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9495458602905273 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8846340179443359 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8759193420410156 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8929224014282227 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8561763763427734 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 13.210012912750244 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8746621608734131 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.520863771438599 diff --git a/tests/references/hierarchical_test_hierarchy_AU_OC.log b/tests/references/hierarchical_test_hierarchy_AU_OC.log index 1d89e1c31..71c8fa85e 100644 --- a/tests/references/hierarchical_test_hierarchy_AU_OC.log +++ b/tests/references/hierarchical_test_hierarchy_AU_OC.log @@ -10,8 +10,8 @@ INFO:pyaf.std:START_TRAINING 'BrisbaneGC' 5 QLD QLD_State Australia 6 Capitals Other_State Australia 7 Other Other_State Australia -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.636312961578369 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.229297399520874 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,8 +29,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Capitals INFO:pyaf.std:START_TRAINING 'Capitals' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.827772855758667 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.185781717300415 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -48,8 +48,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Melbourne INFO:pyaf.std:START_TRAINING 'Melbourne' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 3.5294063091278076 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.8407161235809326 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -67,8 +67,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW INFO:pyaf.std:START_TRAINING 'NSW' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 3.411482095718384 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.8518826961517334 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -86,8 +86,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Other INFO:pyaf.std:START_TRAINING 'Other' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 3.2196505069732666 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.8915276527404785 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -105,8 +105,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 QLD INFO:pyaf.std:START_TRAINING 'QLD' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 3.0883431434631348 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.9203174114227295 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -124,8 +124,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Sydney INFO:pyaf.std:START_TRAINING 'Sydney' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.595923662185669 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.944841146469116 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -143,8 +143,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC INFO:pyaf.std:START_TRAINING 'VIC' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 3.029395341873169 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.9696640968322754 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -162,8 +162,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 NSW_State INFO:pyaf.std:START_TRAINING 'NSW_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 3.2408289909362793 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 3.019059419631958 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -181,8 +181,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 Other_State INFO:pyaf.std:START_TRAINING 'Other_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 3.213153839111328 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 3.014533042907715 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -200,8 +200,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 QLD_State INFO:pyaf.std:START_TRAINING 'QLD_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 2.807720899581909 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.044779062271118 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -219,8 +219,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 VIC_State INFO:pyaf.std:START_TRAINING 'VIC_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 2.632709264755249 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.0400688648223877 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -238,8 +238,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 Australia INFO:pyaf.std:START_TRAINING 'Australia' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.093839168548584 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.060896635055542 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,31 +256,31 @@ INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9319713115692139 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8781824111938477 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8894708156585693 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8731381893157959 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7395474910736084 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8838772773742676 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7413666248321533 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8776462078094482 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7735733985900879 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8932433128356934 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.754234790802002 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8957281112670898 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7660841941833496 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8927161693572998 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7359607219696045 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8994953632354736 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7699854373931885 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8859617710113525 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7661564350128174 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8868000507354736 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7399518489837646 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8915107250213623 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.773298978805542 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8794293403625488 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7523367404937744 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8775839805603027 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Date', 'BrisbaneGC', 'BrisbaneGC_Forecast', 'Capitals', 'Capitals_Forecast', 'Melbourne', 'Melbourne_Forecast', 'NSW', @@ -301,34 +301,34 @@ INFO:pyaf.std:STRUCTURE_LEVEL (1, ['NSW_State', 'Other_State', 'QLD_State', 'VIC INFO:pyaf.std:MODEL_LEVEL (1, ['NSW_State', 'Other_State', 'QLD_State', 'VIC_State']) INFO:pyaf.std:STRUCTURE_LEVEL (2, ['Australia']) INFO:pyaf.std:MODEL_LEVEL (2, ['Australia']) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.1986502456098, 0.0315) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.1986502456098, 0.0315) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203934, 0.0625) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203934, 0.0625) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009597004, 0.059900000000000002) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009597004, 0.059900000000000002) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627889, 0.075999999999999998) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627889, 0.075999999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.198650245608, 0.0315) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Australia_OC', 2822.9712659882034, 0.032099999999999997, 2762.198650245608, 0.0315) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203922, 0.0625) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('BrisbaneGC_OC', 600.34706904072175, 0.061600000000000002, 598.01765504203922, 0.0625) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009596981, 0.059900000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Capitals_OC', 598.20675203629901, 0.060199999999999997, 595.25417009596981, 0.059900000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627895, 0.075999999999999998) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Melbourne_OC', 422.18128474635472, 0.076999999999999999, 416.86471225627895, 0.075999999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_OC', 977.95905287026676, 0.046899999999999997, 923.61411507569028, 0.044499999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_OC', 977.95905287026676, 0.046899999999999997, 923.61411507569028, 0.044499999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('NSW_State_OC', 966.62836450834834, 0.034799999999999998, 1025.8846314385364, 0.036799999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('NSW_State_OC', 966.62836450834834, 0.034799999999999998, 1025.8846314385364, 0.036799999999999999) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.1642193394174, 0.070400000000000004) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.1642193394174, 0.070400000000000004) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412154, 0.052400000000000002) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412154, 0.052400000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.16421933941763, 0.070400000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_OC', 952.87818461267318, 0.0693, 974.16421933941763, 0.070400000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412152, 0.052400000000000002) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Other_State_OC', 1190.600754671688, 0.051499999999999997, 1221.6876678412152, 0.052400000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_OC', 904.68957280411701, 0.066299999999999998, 892.88145350008801, 0.065799999999999997) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_OC', 904.68957280411701, 0.066299999999999998, 892.88145350008801, 0.065799999999999997) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462946, 0.0504) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462946, 0.0504) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.39118452010518, 0.066500000000000004) -INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.39118452010518, 0.066500000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462948, 0.0504) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('QLD_State_OC', 1148.1186839332831, 0.050799999999999998, 1127.0056215462948, 0.0504) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.3911845201053, 0.066500000000000004) +INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('Sydney_OC', 530.70740280865039, 0.065600000000000006, 526.3911845201053, 0.066500000000000004) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_OC', 523.82921006976505, 0.052299999999999999, 547.0534807799736, 0.056599999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_OC', 523.82921006976505, 0.052299999999999999, 547.0534807799736, 0.056599999999999998) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_OC', 672.96162994029669, 0.041700000000000001, 702.63546499098516, 0.043900000000000002) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_OC', 672.96162994029669, 0.041700000000000001, 702.63546499098516, 0.043900000000000002) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 51.827733278274536 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 50.731109857559204 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -344,7 +344,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=600.347069041 L2_Forecast=600.347069041 L2_Test=60 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -360,7 +360,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=598.206752036 L2_Forecast=598.206752036 L2_Test=59 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -376,7 +376,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=422.181284746 L2_Forecast=422.181284746 L2_Test=42 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -392,7 +392,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=977.95905287 L2_Forecast=977.95905287 L2_Test=977. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -408,7 +408,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=952.878184613 L2_Forecast=952.878184613 L2_Test=95 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -424,7 +424,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=904.689572804 L2_Forecast=904.689572804 L2_Test=90 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -440,7 +440,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=530.707402809 L2_Forecast=530.707402809 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -456,7 +456,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=523.82921007 L2_Forecast=523.82921007 L2_Test=523. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -472,7 +472,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=966.628364508 L2_Forecast=966.628364508 L2_Test=96 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -488,7 +488,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1190.60075467 L2_Forecast=1190.60075467 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -504,7 +504,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1148.11868393 L2_Forecast=1148.11868393 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -520,7 +520,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=672.96162994 L2_Forecast=672.96162994 L2_Test=672. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -538,29 +538,29 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8188164234161377 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.887939453125 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9589042663574219 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8940768241882324 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7900207042694092 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8747894763946533 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8971850872039795 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8796367645263672 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9071614742279053 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8912558555603027 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.816694974899292 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.880195140838623 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9095368385314941 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8798213005065918 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.943523645401001 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8870794773101807 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9061005115509033 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9130096435546875 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.959003210067749 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8690063953399658 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9269378185272217 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8849270343780518 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9496886730194092 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8705592155456543 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9130127429962158 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.75906491279602 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8881745338439941 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.535231828689575 diff --git a/tests/references/hierarchical_test_hierarchy_AU_TD.log b/tests/references/hierarchical_test_hierarchy_AU_TD.log index ca0f2830b..cb9da95c7 100644 --- a/tests/references/hierarchical_test_hierarchy_AU_TD.log +++ b/tests/references/hierarchical_test_hierarchy_AU_TD.log @@ -10,8 +10,8 @@ INFO:pyaf.std:START_TRAINING 'BrisbaneGC' 5 QLD QLD_State Australia 6 Capitals Other_State Australia 7 Other Other_State Australia -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 2.806422472000122 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'BrisbaneGC' 3.2286970615386963 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -29,8 +29,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Capitals INFO:pyaf.std:START_TRAINING 'Capitals' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 2.688218116760254 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Capitals' 3.181337833404541 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -48,8 +48,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Melbourne INFO:pyaf.std:START_TRAINING 'Melbourne' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.4178242683410645 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Melbourne' 2.8670504093170166 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -67,8 +67,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 NSW INFO:pyaf.std:START_TRAINING 'NSW' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 3.1296324729919434 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW' 2.896846055984497 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -86,8 +86,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Other INFO:pyaf.std:START_TRAINING 'Other' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.5614938735961914 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other' 2.9198646545410156 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -105,8 +105,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 QLD INFO:pyaf.std:START_TRAINING 'QLD' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.467390537261963 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD' 2.929346799850464 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -124,8 +124,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 Sydney INFO:pyaf.std:START_TRAINING 'Sydney' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.5007102489471436 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Sydney' 2.9849510192871094 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -143,8 +143,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 0 VIC INFO:pyaf.std:START_TRAINING 'VIC' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.538959264755249 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC' 2.953716516494751 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -162,8 +162,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 NSW_State INFO:pyaf.std:START_TRAINING 'NSW_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 2.5002286434173584 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'NSW_State' 3.025803804397583 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -181,8 +181,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 Other_State INFO:pyaf.std:START_TRAINING 'Other_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 2.4678890705108643 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Other_State' 3.0356898307800293 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -200,8 +200,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 QLD_State INFO:pyaf.std:START_TRAINING 'QLD_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 2.4860990047454834 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'QLD_State' 3.035834312438965 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -219,8 +219,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 1 VIC_State INFO:pyaf.std:START_TRAINING 'VIC_State' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 2.5120179653167725 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'VIC_State' 3.0621390342712402 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -238,8 +238,8 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.hierarchical:TRAINING_MODEL_LEVEL_SIGNAL 2 Australia INFO:pyaf.std:START_TRAINING 'Australia' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 2.566950559616089 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Australia' 3.0946366786956787 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -256,31 +256,31 @@ INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.919888973236084 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9069063663482666 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9300928115844727 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8894484043121338 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8164572715759277 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8784241676330566 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.96315598487854 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8914904594421387 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9231960773468018 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8803958892822266 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9019496440887451 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8830990791320801 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8528788089752197 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9052560329437256 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8530030250549316 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8975009918212891 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8608434200286865 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.914104700088501 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9318704605102539 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9119806289672852 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9227097034454346 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9062364101409912 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8753900527954102 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9092576503753662 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9632186889648438 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9160459041595459 INFO:pyaf.std:STRUCTURE [0, 1, 2] INFO:pyaf.std:DATASET_COLUMNS Index(['Date', 'BrisbaneGC', 'BrisbaneGC_Forecast', 'Capitals', 'Capitals_Forecast', 'Melbourne', 'Melbourne_Forecast', 'NSW', @@ -361,8 +361,8 @@ INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_AHP_TD', 672.961629 INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_AHP_TD', 672.96162994029669, 0.041700000000000001, 1929.3749001436584, 0.11609999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_FIT_PERF ('VIC_State_PHA_TD', 672.96162994029669, 0.041700000000000001, 1917.0990564356034, 0.11849999999999999) INFO:pyaf.std:REPORT_COMBINED_FORECASTS_VALID_PERF ('VIC_State_PHA_TD', 672.96162994029669, 0.041700000000000001, 1917.0990564356034, 0.11849999999999999) -INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 45.68645668029785 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:END_HIERARCHICAL_TRAINING_TIME_IN_SECONDS 51.134604930877686 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_BrisbaneGC' Min=5616 Max=9970 Mean=7945.97727273 StdDev=953.199385053 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -378,7 +378,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=600.347069041 L2_Forecast=600.347069041 L2_Test=60 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Capitals' Min=6362 Max=10484 Mean=7836.54545455 StdDev=889.803130794 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -394,7 +394,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=598.206752036 L2_Forecast=598.206752036 L2_Test=59 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Melbourne' Min=3825 Max=5724 Mean=4728.22727273 StdDev=561.459334868 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -410,7 +410,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=422.181284746 L2_Forecast=422.181284746 L2_Test=42 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW' Min=12216 Max=22718 Mean=16128.2727273 StdDev=3013.84002534 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -426,7 +426,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=977.95905287 L2_Forecast=977.95905287 L2_Test=977. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other' Min=8281 Max=13098 Mean=10656.0681818 StdDev=1138.4012593 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -442,7 +442,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=952.878184613 L2_Forecast=952.878184613 L2_Test=95 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD' Min=7600 Max=15078 Mean=10660.3863636 StdDev=1820.02402851 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -458,7 +458,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=904.689572804 L2_Forecast=904.689572804 L2_Test=90 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Sydney' Min=4491 Max=8426 Mean=5878.25 StdDev=768.593287796 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -474,7 +474,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=530.707402809 L2_Forecast=530.707402809 L2_Test=53 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC' Min=5800 Max=14071 Mean=8714.75 StdDev=2679.08819398 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -490,7 +490,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=523.82921007 L2_Forecast=523.82921007 L2_Test=523. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_NSW_State' Min=17435 Max=29320 Mean=22006.5227273 StdDev=3465.03428744 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -506,7 +506,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=966.628364508 L2_Forecast=966.628364508 L2_Test=96 INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Other_State' Min=15384 Max=22284 Mean=18492.6136364 StdDev=1596.06742874 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -522,7 +522,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1190.60075467 L2_Forecast=1190.60075467 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_QLD_State' Min=14077 Max=23834 Mean=18606.3636364 StdDev=2260.63716974 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -538,7 +538,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1148.11868393 L2_Forecast=1148.11868393 L2_Test=11 INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_VIC_State' Min=10190 Max=19131 Mean=13442.9772727 StdDev=3041.39178284 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -554,7 +554,7 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=672.96162994 L2_Forecast=672.96162994 L2_Test=672. INFO:pyaf.std:MODEL_COMPLEXITY 4 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Estimation = (0 , 44) Validation = (0 , 44) Test = (0 , 44) Horizon=12 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=1998-01-01T00:00:00.000000 TimeMax=2008-10-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Australia' Min=59635 Max=87012 Mean=72548.4772727 StdDev=7891.68386942 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -572,29 +572,29 @@ INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_HIERARCHICAL_FORECASTING INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8259963989257812 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8811695575714111 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8603899478912354 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8842301368713379 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9677162170410156 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8899109363555908 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1353514194488525 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8988423347473145 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9163603782653809 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8854775428771973 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.89003586769104 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8911948204040527 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2651989459991455 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9008824825286865 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1701233386993408 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8840935230255127 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0732722282409668 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.895798921585083 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2344276905059814 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8811116218566895 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1967098712921143 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8805065155029297 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2308878898620605 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8738830089569092 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9237020015716553 -INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 13.76642894744873 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8801515102386475 +INFO:pyaf.std:END_HIERARCHICAL_FORECAST_TIME_IN_SECONDS 11.571274757385254 diff --git a/tests/references/model_control_test_ozone_all_models_enabled.log b/tests/references/model_control_test_ozone_all_models_enabled.log index ba75bf559..6e2881342 100644 --- a/tests/references/model_control_test_ozone_all_models_enabled.log +++ b/tests/references/model_control_test_ozone_all_models_enabled.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 74.15977931022644 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 73.58355641365051 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Anscombe_' @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Anscombe_Ozone_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.0738221650976 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.75035834312439 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.759526491165161 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1991322040557861 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1846404075622559 Transformation ... TestMAPE 0 Anscombe_Ozone ... 1.408000e-01 1 Anscombe_Ozone ... 1.320000e-01 diff --git a/tests/references/model_control_test_ozone_no_models_enabled.log b/tests/references/model_control_test_ozone_no_models_enabled.log index f189e2071..cf520a63a 100644 --- a/tests/references/model_control_test_ozone_no_models_enabled.log +++ b/tests/references/model_control_test_ozone_no_models_enabled.log @@ -7,8 +7,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 4 1955-05 6.5 1955-05-01 /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 0.9581120014190674 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 0.9816775321960449 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -25,9 +25,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 0 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.126792669296265 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.71914005279541 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6858232021331787 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6732637882232666 Transformation ... TestMAPE 0 _Ozone ... 0.8365 diff --git a/tests/references/perfs_test_ozone_perf_measure_L1.log b/tests/references/perfs_test_ozone_perf_measure_L1.log index 788a1b956..d9a0f0bc0 100644 --- a/tests/references/perfs_test_ozone_perf_measure_L1.log +++ b/tests/references/perfs_test_ozone_perf_measure_L1.log @@ -101,8 +101,8 @@ INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 2.23955374567 INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.18946033343 INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.75561429877 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.941245794296265 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.818187713623047 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -129,9 +129,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag22 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag39 -0.114375230853 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.373236656188965 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.400254011154175 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0183672904968262 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.985816240310669 Transformation ... TestMASE 0 _Ozone ... None 1 _Ozone ... None diff --git a/tests/references/perfs_test_ozone_perf_measure_L2.log b/tests/references/perfs_test_ozone_perf_measure_L2.log index 253ed7d89..ddf957cfd 100644 --- a/tests/references/perfs_test_ozone_perf_measure_L2.log +++ b/tests/references/perfs_test_ozone_perf_measure_L2.log @@ -101,8 +101,8 @@ INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 2.49502780901 INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.39158677029 INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 2.00814057752 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.627286911010742 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.6085286140441895 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -119,9 +119,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.859675407409668 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.927592515945435 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7809886932373047 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7506616115570068 Transformation ... TestMASE 0 _Ozone ... None 1 _Ozone ... None @@ -212,5 +212,3 @@ Forecasts r = r_num / r_den /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars - r = r_num / r_den diff --git a/tests/references/perfs_test_ozone_perf_measure_MAPE.log b/tests/references/perfs_test_ozone_perf_measure_MAPE.log index 2bc66641c..804ef9be9 100644 --- a/tests/references/perfs_test_ozone_perf_measure_MAPE.log +++ b/tests/references/perfs_test_ozone_perf_measure_MAPE.log @@ -101,8 +101,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTre INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9177 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4148 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7655 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.135440349578857 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.38551139831543 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -129,9 +129,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.304962873458862 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.38576602935791 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0014169216156006 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9858410358428955 Transformation ... TestMASE 0 _Ozone ... 0.9094 1 _Ozone ... 1.6728 diff --git a/tests/references/perfs_test_ozone_perf_measure_MASE.log b/tests/references/perfs_test_ozone_perf_measure_MASE.log index 217dfad2e..4c8c507a3 100644 --- a/tests/references/perfs_test_ozone_perf_measure_MASE.log +++ b/tests/references/perfs_test_ozone_perf_measure_MASE.log @@ -101,8 +101,8 @@ INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTre INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 2.8848 INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.5322 INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 2.2615 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.027180671691895 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.072066068649292 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -129,9 +129,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag22 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag39 -0.114375230853 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.3818700313568115 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.896894693374634 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0387699604034424 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.086331844329834 Transformation ... TestMASE 0 _Ozone ... 1.6728 1 _Ozone ... 0.9094 diff --git a/tests/references/real-life_test_sof_example.log b/tests/references/real-life_test_sof_example.log index 6afdf3e3a..3dacd8fcb 100644 --- a/tests/references/real-life_test_sof_example.log +++ b/tests/references/real-life_test_sof_example.log @@ -69,8 +69,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.7308 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_zeroCycle_residue_AR(15) 58 0.0504 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7699 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Used' 4.319162607192993 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2011-11-01T00:00:00.000000 TimeMax=2011-12-10T00:00:00.000000 TimeDelta= Estimation = (0 , 40) Validation = (40 , 51) Test = (51 , 61) Horizon=10 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Used' 4.274604558944702 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2011-11-01T00:00:00.000000 TimeMax=2011-12-10T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Used' Min=550 Max=800 Mean=627.885245902 StdDev=51.3244575836 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Used' Min=550 Max=800 Mean=627.885245902 StdDev=51.3244575836 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -97,9 +97,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Used_ConstantTrend_residue_zeroCycle_residue_Lag INFO:pyaf.std:AR_MODEL_COEFF 10 _Used_ConstantTrend_residue_zeroCycle_residue_Lag12 -0.0151961221599 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.037009000778198 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.087627649307251 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6969616413116455 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.652646541595459 Transformation ... TestMASE 0 _Used ... 1.1484 1 _Used ... 1.1196 diff --git a/tests/references/real-life_test_sof_example2.log b/tests/references/real-life_test_sof_example2.log index fea3052a2..6bddb5d61 100644 --- a/tests/references/real-life_test_sof_example2.log +++ b/tests/references/real-life_test_sof_example2.log @@ -101,8 +101,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4405 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_zeroCycle_residue_AR(64) 112 0.0232 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.4279 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'dengue_index' 14.806883811950684 -INFO:pyaf.std:TIME_DETAIL TimeVariable='date' TimeMin=2010-01-01T00:00:00.000000 TimeMax=2014-06-11T00:00:00.000000 TimeDelta= Estimation = (0 , 1623) Validation = (1623 , 2029) Test = (2029 , 2034) Horizon=5 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'dengue_index' 12.541886329650879 +INFO:pyaf.std:TIME_DETAIL TimeVariable='date' TimeMin=2010-01-01T00:00:00.000000 TimeMax=2014-06-11T00:00:00.000000 TimeDelta= Horizon=5 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='dengue_index' Min=0.109196345 Max=0.377576611 Mean=0.202948125425 StdDev=0.0880025847689 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_dengue_index' Min=0.109196345 Max=0.377576611 Mean=0.202948125425 StdDev=0.0880025847689 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -119,9 +119,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.852422714233398 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.468314170837402 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.3390076160430908 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.3207406997680664 Transformation ... TestMASE 0 _dengue_index ... 0.7454 1 _dengue_index ... 0.7048 diff --git a/tests/references/svr_test_air_passengers_svr.log b/tests/references/svr_test_air_passengers_svr.log index 6fd9d43d4..69552a933 100644 --- a/tests/references/svr_test_air_passengers_svr.log +++ b/tests/references/svr_test_air_passengers_svr.log @@ -1,6 +1,6 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.8449268341064453 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Estimation = (0 , 96) Validation = (96 , 120) Test = (120 , 132) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.8294761180877686 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -17,9 +17,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.843031406402588 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.885754346847534 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8851075172424316 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8712539672851562 Transformation ... TestMAPE 0 _AirPassengers ... 0.0997 1 _AirPassengers ... 0.0996 diff --git a/tests/references/svr_test_air_passengers_svr_only.log b/tests/references/svr_test_air_passengers_svr_only.log index f6ccdea66..1cc558722 100644 --- a/tests/references/svr_test_air_passengers_svr_only.log +++ b/tests/references/svr_test_air_passengers_svr_only.log @@ -31,8 +31,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPa INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_zeroCycle_residue_SVR(33) 72 0.4857 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_SVR(33) 80 0.2102 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_zeroCycle_residue_SVR(33) 72 0.214 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.210736513137817 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Estimation = (0 , 96) Validation = (96 , 120) Test = (120 , 132) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.26720404624939 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -49,9 +49,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.858163833618164 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.859170913696289 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9055812358856201 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8623707294464111 Transformation ... TestMASE 0 _AirPassengers ... 0.9539 1 _AirPassengers ... 0.9530 diff --git a/tests/references/svr_test_ozone_svr.log b/tests/references/svr_test_ozone_svr.log index 21287afea..c0ab1bd26 100644 --- a/tests/references/svr_test_ozone_svr.log +++ b/tests/references/svr_test_ozone_svr.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.237158298492432 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.128631830215454 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.385754108428955 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.356672763824463 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0236270427703857 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9668779373168945 Transformation ... TestMAPE 0 _Ozone ... 0.1740 1 _Ozone ... 0.3430 diff --git a/tests/references/svr_test_ozone_svr_only.log b/tests/references/svr_test_ozone_svr_only.log index 498fcab2e..e20efb98b 100644 --- a/tests/references/svr_test_ozone_svr_only.log +++ b/tests/references/svr_test_ozone_svr_only.log @@ -53,8 +53,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearT INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 0.9326 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_SVR(51) 94 0.9222 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51) 86 0.7632 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.20008397102356 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.712968587875366 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -71,9 +71,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.379907131195068 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.407228469848633 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0582094192504883 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0059161186218262 Transformation ... TestMASE 0 _Ozone ... 2.2826 1 _Ozone ... 1.2645 diff --git a/tests/references/time_res_test_ozone_Daily.log b/tests/references/time_res_test_ozone_Daily.log index 1fb7eabfd..7cba7c3f3 100644 --- a/tests/references/time_res_test_ozone_Daily.log +++ b/tests/references/time_res_test_ozone_Daily.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.512798547744751 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Daily' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-06-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.424227476119995 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Daily' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-06-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -23,10 +23,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7951433658599854 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6589615345001221 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.5285325050354004 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Daily' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2002-01-30T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.598109245300293 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Daily' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2002-01-30T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -43,7 +43,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6424403190612793 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6537384986877441 Transformation ... TestMAPE 0 _Ozone ... 0.2568 1 _Ozone ... 0.2001 diff --git a/tests/references/time_res_test_ozone_Hourly.log b/tests/references/time_res_test_ozone_Hourly.log index e46f604cb..cee55bf5e 100644 --- a/tests/references/time_res_test_ozone_Hourly.log +++ b/tests/references/time_res_test_ozone_Hourly.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.923642158508301 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Hourly' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-07T08:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.7828121185302734 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Hourly' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-07T08:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -23,10 +23,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7946140766143799 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6384181976318359 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.5487842559814453 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Hourly' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-02-01T16:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3796472549438477 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Hourly' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-02-01T16:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -43,7 +43,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7971391677856445 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6549463272094727 Transformation ... TestMAPE 0 _Ozone ... 0.2568 1 _Ozone ... 0.2001 diff --git a/tests/references/time_res_test_ozone_Minutely.log b/tests/references/time_res_test_ozone_Minutely.log index cde51a34c..dc329615f 100644 --- a/tests/references/time_res_test_ozone_Minutely.log +++ b/tests/references/time_res_test_ozone_Minutely.log @@ -37,8 +37,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearT INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.4271 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9146 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7646 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3481523990631104 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_PerMinute' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T02:32:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1617164611816406 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_PerMinute' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T02:32:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -55,7 +55,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6242454051971436 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6413092613220215 INFO:pyaf.std:START_TRAINING 'Ozone' INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_Minute_residue_NoAR 4 0.3646 INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.3646 @@ -105,8 +105,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearT INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_Minute_residue_NoAR 52 0.9292 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9146 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7646 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 4.05211615562439 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_PerMinute' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T12:40:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.8705663681030273 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_PerMinute' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T12:40:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -123,7 +123,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7333714962005615 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6453616619110107 Transformation ... TestMASE 0 _Ozone ... 1.2246 1 _Ozone ... 0.9051 @@ -294,3 +294,19 @@ Forecasts +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den diff --git a/tests/references/time_res_test_ozone_Secondly.log b/tests/references/time_res_test_ozone_Secondly.log index 0d95ebce8..553713fd2 100644 --- a/tests/references/time_res_test_ozone_Secondly.log +++ b/tests/references/time_res_test_ozone_Secondly.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.918457508087158 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_PerSecond' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T00:02:32.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8020031452178955 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_PerSecond' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T00:02:32.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -23,10 +23,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6524538993835449 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6548633575439453 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.6296093463897705 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_PerSecond' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T00:12:40.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3804447650909424 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_PerSecond' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T00:12:40.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -43,7 +43,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8678724765777588 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6563460826873779 Transformation ... TestMAPE 0 _Ozone ... 0.2568 1 _Ozone ... 0.2001 diff --git a/tests/references/time_res_test_ozone_Weekly.log b/tests/references/time_res_test_ozone_Weekly.log index e3fcae790..6994e9221 100644 --- a/tests/references/time_res_test_ozone_Weekly.log +++ b/tests/references/time_res_test_ozone_Weekly.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.778235912322998 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Weekly' TimeMin=2000-01-02T00:00:00.000000 TimeMax=2002-12-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.6052772998809814 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Weekly' TimeMin=2000-01-02T00:00:00.000000 TimeMax=2002-12-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -23,10 +23,10 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7719533443450928 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6549575328826904 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.9597206115722656 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Weekly' TimeMin=2000-01-02T00:00:00.000000 TimeMax=2014-07-27T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.9466776847839355 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Weekly' TimeMin=2000-01-02T00:00:00.000000 TimeMax=2014-07-27T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -43,7 +43,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7159056663513184 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6611332893371582 Transformation ... TestMAPE 0 _Ozone ... 0.2568 1 _Ozone ... 0.2001 @@ -214,3 +214,19 @@ Forecasts +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den diff --git a/tests/references/transformations_test_ozone_transf_anscombe.log b/tests/references/transformations_test_ozone_transf_anscombe.log index 35f94babb..fff189591 100644 --- a/tests/references/transformations_test_ozone_transf_anscombe.log +++ b/tests/references/transformations_test_ozone_transf_anscombe.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Pol INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.2137 INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.1595 INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.389 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.0884206295013428 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1232783794403076 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Anscombe_' @@ -57,9 +57,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Anscombe_Ozone_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.0738221650976 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.278442144393921 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.320547819137573 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.012824535369873 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9461338520050049 Transformation ... TestMASE 0 Anscombe_Ozone ... 0.7524 1 Anscombe_Ozone ... 1.6272 diff --git a/tests/references/transformations_test_ozone_transf_boxcox.log b/tests/references/transformations_test_ozone_transf_boxcox.log index 648e8b0bc..b4bdc713c 100644 --- a/tests/references/transformations_test_ozone_transf_boxcox.log +++ b/tests/references/transformations_test_ozone_transf_boxcox.log @@ -245,8 +245,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_O INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1731 INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1676 INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3361 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 19.33438467979431 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 19.042471170425415 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Box_Cox_0.5_Ozone' Min=-1.9999999998 Max=0.0 Mean=-0.870301741487 StdDev=0.359907597447 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Box_Cox_0.5_' @@ -273,9 +273,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_r INFO:pyaf.std:AR_MODEL_COEFF 10 Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_Lag35 -0.0835302315097 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.917542934417725 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.908982753753662 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2437281608581543 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1916453838348389 Transformation ... TestMASE 0 Box_Cox_0.5_Ozone ... 0.8999 1 Box_Cox_0.33_Ozone ... 1.0446 diff --git a/tests/references/transformations_test_ozone_transf_cumsum.log b/tests/references/transformations_test_ozone_transf_cumsum.log index 36409ab7e..0679439d4 100644 --- a/tests/references/transformations_test_ozone_transf_cumsum.log +++ b/tests/references/transformations_test_ozone_transf_cumsum.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTre INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9177 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4148 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7655 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.850994348526001 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8089029788970947 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='CumSum_Ozone' Min=2.7 Max=782.5 Mean=434.11372549 StdDev=222.554633979 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'CumSum_' @@ -47,9 +47,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 68 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.915428161621094 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.884708881378174 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7623116970062256 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7454869747161865 Transformation ... TestMASE 0 CumSum_Ozone ... 0.9560 1 CumSum_Ozone ... 0.9560 diff --git a/tests/references/transformations_test_ozone_transf_difference.log b/tests/references/transformations_test_ozone_transf_difference.log index 9834d7752..0513c40a5 100644 --- a/tests/references/transformations_test_ozone_transf_difference.log +++ b/tests/references/transformations_test_ozone_transf_difference.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_r INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.3068 INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4357 INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7285 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.066333293914795 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.4489779472351074 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Diff_Ozone' Min=-4.3 Max=3.5 Mean=-0.00735294117647 StdDev=1.10311273176 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Diff_' @@ -57,9 +57,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_La INFO:pyaf.std:AR_MODEL_COEFF 10 Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_Lag36 0.289204574008 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.428862571716309 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.529099702835083 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9927980899810791 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9387478828430176 Transformation ... TestMASE 0 Diff_Ozone ... 1.0525 1 Diff_Ozone ... 1.1819 diff --git a/tests/references/transformations_test_ozone_transf_fisher.log b/tests/references/transformations_test_ozone_transf_fisher.log index 2bc932e74..6f1978fac 100644 --- a/tests/references/transformations_test_ozone_transf_fisher.log +++ b/tests/references/transformations_test_ozone_transf_fisher.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTre INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4405 INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.2388 INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.4408 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1807193756103516 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3898065090179443 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Fisher_Ozone' Min=0.0 Max=9.55691395724 Mean=0.43398413362 StdDev=0.692323871646 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Fisher_' @@ -57,9 +57,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_ INFO:pyaf.std:AR_MODEL_COEFF 10 Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_Lag8 -0.0490255626097 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.419461727142334 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.83518648147583 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0432837009429932 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0551893711090088 Transformation ... TestMASE 0 Fisher_Ozone ... 0.7979 1 Fisher_Ozone ... 3.2965 diff --git a/tests/references/transformations_test_ozone_transf_logit.log b/tests/references/transformations_test_ozone_transf_logit.log index b2795c266..92b94bb05 100644 --- a/tests/references/transformations_test_ozone_transf_logit.log +++ b/tests/references/transformations_test_ozone_transf_logit.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.2234 INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.1676 INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.3443 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.0986685752868652 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1423115730285645 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Logit_Ozone' Min=-18.420680734 Max=18.4206807289 Mean=-0.757798676614 StdDev=2.11281515059 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Logit_' @@ -57,9 +57,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Logit_Ozone_PolyTrend_residue_zeroCycle_residue_L INFO:pyaf.std:AR_MODEL_COEFF 10 Logit_Ozone_PolyTrend_residue_zeroCycle_residue_Lag18 -0.0705882073998 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.358929634094238 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.375358581542969 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0238792896270752 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.965001106262207 Transformation ... TestMASE 0 Logit_Ozone ... 1.7761 1 Logit_Ozone ... 1.3891 diff --git a/tests/references/transformations_test_ozone_transf_none.log b/tests/references/transformations_test_ozone_transf_none.log index b4663e18a..59ca6db86 100644 --- a/tests/references/transformations_test_ozone_transf_none.log +++ b/tests/references/transformations_test_ozone_transf_none.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_b INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.2313 INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 54 0.1657 INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.4087 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.026890277862549 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1177756786346436 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -57,9 +57,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.330622673034668 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.405700206756592 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9734110832214355 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9524316787719727 Transformation ... TestMASE 0 _Ozone ... 0.9094 1 _Ozone ... 1.6728 diff --git a/tests/references/transformations_test_ozone_transf_quantization.log b/tests/references/transformations_test_ozone_transf_quantization.log index e2397da4f..b43b0e293 100644 --- a/tests/references/transformations_test_ozone_transf_quantization.log +++ b/tests/references/transformations_test_ozone_transf_quantization.log @@ -77,8 +77,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_O INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2147 INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1753 INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3985 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.387827634811401 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.3810529708862305 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Quantized_10_Ozone' Min=0 Max=9 Mean=4.96078431373 StdDev=2.83853583021 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Quantized_10_' @@ -95,9 +95,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 84 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.103641033172607 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.984635591506958 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8261427879333496 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7872714996337891 Transformation ... TestMASE 0 Quantized_20_Ozone ... 1.1723 1 Quantized_10_Ozone ... 0.9484 diff --git a/tests/references/transformations_test_ozone_transf_relative_difference.log b/tests/references/transformations_test_ozone_transf_relative_difference.log index dbb089149..4822777fb 100644 --- a/tests/references/transformations_test_ozone_transf_relative_difference.log +++ b/tests/references/transformations_test_ozone_transf_relative_difference.log @@ -29,8 +29,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyT INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 47541752.6548 INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 24525015.6551 INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.84369158744812 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8818507194519043 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='RelDiff_Ozone' Min=-0.9999998125 Max=10.0 Mean=0.201269462545 StdDev=1.02611383151 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'RelDiff_' @@ -47,9 +47,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 64 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.801271677017212 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.867944955825806 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7724769115447998 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7275652885437012 Transformation ... TestMASE 0 RelDiff_Ozone ... 1.0048 1 RelDiff_Ozone ... 14.4481 diff --git a/tests/references/transformations_test_ozone_transf_relative_difference_1.log b/tests/references/transformations_test_ozone_transf_relative_difference_1.log index fb82405fa..be9529505 100644 --- a/tests/references/transformations_test_ozone_transf_relative_difference_1.log +++ b/tests/references/transformations_test_ozone_transf_relative_difference_1.log @@ -20,8 +20,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_L INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.0 INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 1.7443339824676514 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Estimation = (0 , 950) Validation = (950 , 1188) Test = (1188 , 1200) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 1.6002390384674072 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='RelDiff_signal2' Min=0.0 Max=0.2 Mean=0.0168385189911 StdDev=0.0555262389696 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'RelDiff_' @@ -38,9 +38,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.081914663314819 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.640194654464722 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7155113220214844 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7236979007720947 INFO:pyaf.std:START_TRAINING 'signal2' INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 72 0.0 INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.9999 @@ -98,8 +98,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_Pol INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_zeroCycle_residue_AR(64) 112 0.0 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 8.225008964538574 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Estimation = (0 , 950) Validation = (950 , 1188) Test = (1188 , 1200) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 6.96242094039917 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -126,9 +126,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _signal2_ConstantTrend_residue_zeroCycle_residue_ INFO:pyaf.std:AR_MODEL_COEFF 10 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag14 -0.651798335144 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 8.481014490127563 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.630503416061401 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.4202561378479004 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.348430871963501 Transformation ... TestMASE 0 RelDiff_signal2 ... 5.6426 1 RelDiff_signal2 ... 5.6426 diff --git a/tests/references/xgb_test_air_passengers_xgb.log b/tests/references/xgb_test_air_passengers_xgb.log index 1d07edfb1..5be63178d 100644 --- a/tests/references/xgb_test_air_passengers_xgb.log +++ b/tests/references/xgb_test_air_passengers_xgb.log @@ -1,6 +1,6 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.247499227523804 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Estimation = (0 , 96) Validation = (96 , 120) Test = (120 , 132) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.273020029067993 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -27,9 +27,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag16 -0.16495284213 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.83603572845459 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.849103927612305 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9123907089233398 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8560726642608643 Transformation ... TestMAPE 0 Diff_AirPassengers ... 0.0402 1 _AirPassengers ... 0.0541 diff --git a/tests/references/xgb_test_air_passengers_xgb_only.log b/tests/references/xgb_test_air_passengers_xgb_only.log index 9e2a0ad5f..c59a62467 100644 --- a/tests/references/xgb_test_air_passengers_xgb_only.log +++ b/tests/references/xgb_test_air_passengers_xgb_only.log @@ -31,8 +31,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPa INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 0.4856 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.2038 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 0.175 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.21269154548645 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Estimation = (0 , 96) Validation = (96 , 120) Test = (120 , 132) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.257278919219971 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -49,9 +49,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.925483226776123 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.958983659744263 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.937615156173706 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8739125728607178 Transformation ... TestMASE 0 _AirPassengers ... 0.5862 1 _AirPassengers ... 0.6021 diff --git a/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log b/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log index 9d220a1a0..4e3bbcd97 100644 --- a/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log +++ b/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log @@ -31,8 +31,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPa INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 0.4856 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.1978 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 0.1899 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.252280235290527 -INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Estimation = (0 , 96) Validation = (96 , 120) Test = (120 , 132) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.180395126342773 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -49,9 +49,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.870485305786133 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.8551366329193115 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9269278049468994 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8866302967071533 Transformation ... TestMASE 0 _AirPassengers ... 0.7180 1 _AirPassengers ... 0.7656 diff --git a/tests/references/xgb_test_ozone_xgb.log b/tests/references/xgb_test_ozone_xgb.log index 8bc383091..b8960127a 100644 --- a/tests/references/xgb_test_ozone_xgb.log +++ b/tests/references/xgb_test_ozone_xgb.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.175243377685547 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.174232006072998 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.451288223266602 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.419776439666748 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0320830345153809 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9782602787017822 Transformation ... TestMAPE 0 _Ozone ... 0.1740 1 _Ozone ... 0.3430 diff --git a/tests/references/xgb_test_ozone_xgb_exogenous.log b/tests/references/xgb_test_ozone_xgb_exogenous.log index 83a5051eb..2d184ad01 100644 --- a/tests/references/xgb_test_ozone_xgb_exogenous.log +++ b/tests/references/xgb_test_ozone_xgb_exogenous.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.87640905380249 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.861405849456787 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -23,9 +23,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.452285289764404 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.38459324836731 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0351266860961914 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0016624927520752 Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', diff --git a/tests/references/xgb_test_ozone_xgb_only.log b/tests/references/xgb_test_ozone_xgb_only.log index 4cff57b98..00eb8a728 100644 --- a/tests/references/xgb_test_ozone_xgb_only.log +++ b/tests/references/xgb_test_ozone_xgb_only.log @@ -53,8 +53,8 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearT INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 0.8669 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_XGB(51) 94 1.0407 INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_XGB(51) 86 0.6656 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.413026332855225 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.201188325881958 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -71,9 +71,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.351474285125732 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.43031120300293 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0511131286621094 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.019831895828247 Transformation ... TestMASE 0 _Ozone ... 1.1276 1 _Ozone ... 1.1276 diff --git a/tests/references/xgb_test_ozone_xgbx_exogenous.log b/tests/references/xgb_test_ozone_xgbx_exogenous.log index 36d05a8fb..b2faac6ec 100644 --- a/tests/references/xgb_test_ozone_xgbx_exogenous.log +++ b/tests/references/xgb_test_ozone_xgbx_exogenous.log @@ -5,8 +5,8 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 29.590673685073853 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Estimation = (0 , 153) Validation = (153 , 192) Test = (192 , 204) Horizon=12 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 30.293161869049072 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' @@ -23,9 +23,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 58 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.614733695983887 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.410587310791016 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 4.256392955780029 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.9472992420196533 Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear', From edca20fe74fdbebdcf7adb2ff1fd5d5038f06a77 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:09:33 +0200 Subject: [PATCH 04/28] Investigate cross-validation methods for time series #53 Add the possibility to customize the dataset splitting --- TS/Options.py | 1 + 1 file changed, 1 insertion(+) diff --git a/TS/Options.py b/TS/Options.py index 38da48fd4..df43545a9 100644 --- a/TS/Options.py +++ b/TS/Options.py @@ -102,6 +102,7 @@ def __init__(self): self.mParallelMode = True; self.mNbCores = 8; self.mEstimRatio = 0.8; + self.mCustomSplit = None self.mAddPredictionIntervals = True self.enable_fast_mode(); self.mTimeDeltaComputationMethod = "AVG"; # can be "AVG", "MODE", "USER" From 6dba326fceaff91dc2f959e04319d544d7606c46 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:10:15 +0200 Subject: [PATCH 05/28] Investigate cross-validation methods for time series #53 Add the possibility to customize the dataset splitting --- TS/TimeSeries_Cutting.py | 45 +++++++++++++++++++++++++++++++++++----- 1 file changed, 40 insertions(+), 5 deletions(-) diff --git a/TS/TimeSeries_Cutting.py b/TS/TimeSeries_Cutting.py index da2c9c9dc..ecda6043c 100644 --- a/TS/TimeSeries_Cutting.py +++ b/TS/TimeSeries_Cutting.py @@ -16,11 +16,8 @@ def __init__(self): def estimate(self): self.defineCuttingParameters(); - - def defineCuttingParameters(self): - lStr = "CUTTING_START SignalVariable='" + self.mSignal +"'"; - # print(lStr); - #print(self.mSignalFrame.head()) + + def set_default_split(self): self.mTrainSize = self.mSignalFrame.shape[0]; assert(self.mTrainSize > 0); lEstEnd = int((self.mTrainSize - self.mHorizon) * self.mOptions.mEstimRatio); @@ -45,6 +42,44 @@ def defineCuttingParameters(self): self.mTestStart = self.mValidEnd; self.mTestEnd = self.mTrainSize; + def check_split(self, iSplit): + if(len(iSplit) != 3): + raise tsutil.PyAF_Error('Invalid Split ' + str(iSplit)); + if(iSplit[0] < 0.0 or iSplit[0] > 1.0): + raise tsutil.PyAF_Error('Invalid Estimation Ratio ' + str(iSplit[0])); + if(iSplit[1] < 0.0 or iSplit[1] > 1.0): + raise tsutil.PyAF_Error('Invalid Validation Ratio ' + str(iSplit[1])); + if(iSplit[2] < 0.0 or iSplit[2] > 1.0): + raise tsutil.PyAF_Error('Invalid Test Ratio ' + str(iSplit[2])); + lTotal = iSplit[0] + iSplit[1] + iSplit[2] + if(lTotal < 0 or lTotal > 1): + raise tsutil.PyAF_Error('Invalid Split Ratio Sum' + str(iSplit)); + + + def set_split(self, iSplit): + self.mTrainSize = self.mSignalFrame.shape[0]; + assert(self.mTrainSize > 0); + self.check_split(iSplit) + lEstEnd = int(self.mTrainSize * iSplit[0]); + lValSize = int(self.mTrainSize * iSplit[1]); + lTestSize = int(self.mTrainSize * iSplit[2]); + + self.mEstimStart = 0; + self.mEstimEnd = lEstEnd; + self.mValidStart = self.mEstimEnd; + self.mValidEnd = self.mValidStart + lValSize; + self.mTestStart = self.mValidEnd; + self.mTestEnd = self.mTestStart + lTestSize; + + def defineCuttingParameters(self): + lStr = "CUTTING_START SignalVariable='" + self.mSignal +"'"; + # print(lStr); + #print(self.mSignalFrame.head()) + if(self.mOptions.mCustomSplit is not None): + self.set_split(self.mOptions.mCustomSplit) + else: + self.set_default_split() + lStr = "CUTTING_PARAMETERS " + str(self.mTrainSize) + " Estimation = (" + str(self.mEstimStart) + " , " + str(self.mEstimEnd) + ")"; lStr += " Validation = (" + str(self.mValidStart) + " , " + str(self.mValidEnd) + ")"; lStr += " Test = (" + str(self.mTestStart) + " , " + str(self.mTestEnd) + ")"; From b9ee314b4e0e5172ef16cc52a93d290921214cc6 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:10:56 +0200 Subject: [PATCH 06/28] Investigate cross-validation methods for time series #53 Use generic formula for selecting models --- TS/SignalDecomposition_Cycle.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TS/SignalDecomposition_Cycle.py b/TS/SignalDecomposition_Cycle.py index 2833cbab1..48c9ca342 100644 --- a/TS/SignalDecomposition_Cycle.py +++ b/TS/SignalDecomposition_Cycle.py @@ -258,7 +258,7 @@ def fit(self): self.mOutName = self.getCycleName() self.mFormula = "Cycle_None" if(self.mBestCycleLength is not None): - self.mFormula = "Cycle_Length_" + str(self.mBestCycleLength); + self.mFormula = "Cycle" # + str(self.mBestCycleLength); self.transformDataset(self.mCycleFrame); def transformDataset(self, df): From 7243cfc9b256068f4121e68344aa3f1305ba35ee Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:11:50 +0200 Subject: [PATCH 07/28] Investigate cross-validation methods for time series #53 Use generic formula for selecting models --- TS/Scikit_Models.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/TS/Scikit_Models.py b/TS/Scikit_Models.py index dcdcced3c..c1d132f07 100644 --- a/TS/Scikit_Models.py +++ b/TS/Scikit_Models.py @@ -154,10 +154,10 @@ def build_Scikit_Model(self): def set_name(self): self.mOutName = self.mCycleResidueName + '_AR(' + str(self.mNbLags) + ")"; - self.mFormula = "AR(" + str(self.mNbLags) + ")"; + self.mFormula = "AR" # (" + str(self.mNbLags) + ")"; if(self.mExogenousInfo is not None): self.mOutName = self.mCycleResidueName + '_ARX(' + str(self.mNbLags) + ")"; - self.mFormula = "ARX(" + str(self.mNbExogenousLags) + ")"; + self.mFormula = "ARX" # (" + str(self.mNbExogenousLags) + ")"; @@ -176,10 +176,10 @@ def build_Scikit_Model(self): def set_name(self): self.mOutName = self.mCycleResidueName + '_SVR(' + str(self.mNbLags) + ")"; - self.mFormula = "SVR(" + str(self.mNbLags) + ")"; + self.mFormula = "SVR" # (" + str(self.mNbLags) + ")"; if(self.mExogenousInfo is not None): self.mOutName = self.mCycleResidueName + '_SVRX(' + str(self.mNbLags) + ")"; - self.mFormula = "SVRX(" + str(self.mNbExogenousLags) + ")"; + self.mFormula = "SVRX" # (" + str(self.mNbExogenousLags) + ")"; class cXGBoost_Model(cAbstract_Scikit_Model): @@ -211,7 +211,7 @@ def build_Scikit_Model(self): def set_name(self): self.mOutName = self.mCycleResidueName + '_XGB(' + str(self.mNbLags) + ")"; - self.mFormula = "XGB(" + str(self.mNbLags) + ")"; + self.mFormula = "XGB" # + str(self.mNbLags) + ")"; if(self.mExogenousInfo is not None): self.mOutName = self.mCycleResidueName + '_XGBX(' + str(self.mNbLags) + ")"; - self.mFormula = "XGBX(" + str(self.mNbExogenousLags) + ")"; + self.mFormula = "XGBX" # (" + str(self.mNbExogenousLags) + ")"; From a39d84a1e64e3e6fbf914e0bda99b962e2f649b3 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:12:07 +0200 Subject: [PATCH 08/28] Investigate cross-validation methods for time series #53 Use generic formula for selecting models --- TS/Signal_Transformation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TS/Signal_Transformation.py b/TS/Signal_Transformation.py index 9b63c3045..8138f8ec7 100644 --- a/TS/Signal_Transformation.py +++ b/TS/Signal_Transformation.py @@ -141,7 +141,7 @@ class cSignalTransform_None(cAbstractSignalTransform): def __init__(self): cAbstractSignalTransform.__init__(self); - self.mFormula = "None"; + self.mFormula = "NoTansf"; self.mComplexity = 0; pass From c2b00141dab0edccbbc4bc2ebbaab26ba6320e88 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:12:23 +0200 Subject: [PATCH 09/28] Investigate cross-validation methods for time series #53 Use generic formula for selecting models --- TS/TimeSeriesModel.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/TS/TimeSeriesModel.py b/TS/TimeSeriesModel.py index 056354a0d..7a60b00d1 100644 --- a/TS/TimeSeriesModel.py +++ b/TS/TimeSeriesModel.py @@ -41,6 +41,13 @@ def signal_info(self): lStr2 += " Mean=" + str(np.mean(lSignal)) + " StdDev=" + str(np.std(lSignal)); return (lStr1 , lStr2); + def get_model_category(self): + lModelCategory = (self.mTransformation.__class__.__name__, + self.mTrend.__class__.__name__, + self.mCycle.__class__.__name__, + self.mAR.__class__.__name__) + lModelCategory = self.mTransformation.mFormula + "_" + self.mTrend.mFormula + "_" + self.mCycle.mFormula + "_" + self.mAR.mFormula + return str(lModelCategory) def getComplexity(self): lComplexity = 32 * self.mTransformation.mComplexity + 16 * self.mTrend.mComplexity + 4 * self.mCycle.mComplexity + 1 * self.mAR.mComplexity; From 2f40257086135e6c34d8123d0f708741fd72beea Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:12:44 +0200 Subject: [PATCH 10/28] Investigate cross-validation methods for time series #53 Use generic formula for selecting models --- TS/SignalDecomposition.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/TS/SignalDecomposition.py b/TS/SignalDecomposition.py index c744025a6..b9f00a88e 100644 --- a/TS/SignalDecomposition.py +++ b/TS/SignalDecomposition.py @@ -176,7 +176,8 @@ def collectPerformanceIndices(self) : lFitPerf = self.mPerfsByModel[name][2]; lForecastPerf = self.mPerfsByModel[name][3]; lTestPerf = self.mPerfsByModel[name][4]; - row = [lModel.mOutName , lComplexity, + lModelCategory = lModel.get_model_category() + row = [lModelCategory , lComplexity, lFitPerf.mCount, lFitPerf.mL1, lFitPerf.mL2, lFitPerf.mMAPE, lFitPerf.mMASE, lForecastPerf.mCount, lForecastPerf.mL1, lForecastPerf.mL2, @@ -437,9 +438,9 @@ def collectPerformanceIndices_ModelSelection(self) : for transform1 in self.mTransformList: sigdec = self.mSigDecByTransform[transform1.get_name("")] for (model , value) in sorted(sigdec.mPerfsByModel.items()): - self.mPerfsByModel[model] = value; + self.mPerfsByModel[model] = value[0].get_model_category(); lTranformName = sigdec.mSignal; - lModelFormula = model + lModelFormula = model.get_model_category() # value format : self.mPerfsByModel[lModel.mOutName] = [lModel, lComplexity, lFitPerf , lForecastPerf, lTestPerf]; lComplexity = value[1]; lFitPerf = value[2]; @@ -491,22 +492,24 @@ def collectPerformanceIndices(self) : self.mPerfsByModel[model] = value; lTranformName = sigdec.mSignal; lModelFormula = model + lModelCategory = value[0].get_model_category() + lSplit = value[0].mTimeInfo.mOptions.mCustomSplit # value format : self.mPerfsByModel[lModel.mOutName] = [lModel, lComplexity, lFitPerf , lForecastPerf, lTestPerf]; lComplexity = value[1]; lFitPerf = value[2]; lForecastPerf = value[3]; lTestPerf = value[4]; - row = [lTranformName, lModelFormula , lComplexity, + row = [lSplit, lTranformName, lModelFormula , lModelCategory, lComplexity, lFitPerf.mCount, lFitPerf.mL1, lFitPerf.mL2, lFitPerf.mMAPE, lFitPerf.mMASE, lForecastPerf.mCount, lForecastPerf.mL1, lForecastPerf.mL2, lForecastPerf.mMAPE, lForecastPerf.mMASE, lTestPerf.mCount, lTestPerf.mL1, lTestPerf.mL2, lTestPerf.mMAPE, lTestPerf.mMASE] rows_list.append(row); if(self.mOptions.mDebugPerformance): lIndicatorValue = lForecastPerf.getCriterionValue(self.mOptions.mModelSelection_Criterion) - logger.info("collectPerformanceIndices : " + self.mOptions.mModelSelection_Criterion + " " + str(row[0]) + " " + str(row[1]) + " " + str(row[2]) + " " + str(lIndicatorValue)); + logger.info("collectPerformanceIndices : " + self.mOptions.mModelSelection_Criterion + " " + str(row[0])+ " " + str(row[1]) + " " + str(row[3]) + " " + str(row[4]) + " " + str(lIndicatorValue)); self.mTrPerfDetails = pd.DataFrame(rows_list, columns= - ('Transformation', 'Model', 'Complexity', + ('Split', 'Transformation', 'Model', 'Category', 'Complexity', 'FitCount', 'FitL1', 'FitL2', 'FitMAPE', 'FitMASE', 'ForecastCount', 'ForecastL1', 'ForecastL2', 'ForecastMAPE', 'ForecastMASE', 'TestCount', 'TestL1', 'TestL2', 'TestMAPE', 'TestMASE')) @@ -525,7 +528,7 @@ def collectPerformanceIndices(self) : lInterestingModels = self.mTrPerfDetails; lInterestingModels.sort_values(by=['Complexity'] , ascending=True, inplace=True) # print(self.mTransformList); - # print(lInterestingModels.head()); + print(lInterestingModels.head()); lBestName = lInterestingModels['Model'].iloc[0]; self.mBestModel = self.mPerfsByModel[lBestName][0]; if(self.mOptions.mDebugProfile): From b0f4777392fcb13949a0d899b0dbbb861fca9fe0 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:13:04 +0200 Subject: [PATCH 11/28] Investigate cross-validation methods for time series #53 Prototyping test --- .../test_ozone_custom_split.py | 54 +++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 tests/cross_validation/test_ozone_custom_split.py diff --git a/tests/cross_validation/test_ozone_custom_split.py b/tests/cross_validation/test_ozone_custom_split.py new file mode 100644 index 000000000..6eea029e2 --- /dev/null +++ b/tests/cross_validation/test_ozone_custom_split.py @@ -0,0 +1,54 @@ +from __future__ import absolute_import + +import pandas as pd +import numpy as np + + +import pyaf.ForecastEngine as autof +import pyaf.Bench.TS_datasets as tsds + + + +def test_ozone_custom(folds, start_validation_at_fold): + b1 = tsds.load_ozone() + df = b1.mPastData + + lEngine = autof.cForecastEngine() + lEngine + + H = b1.mHorizon; + lRatio = 1.0 / folds + lEngine.mOptions.mCustomSplit = (lRatio * start_validation_at_fold, lRatio, 0.0); + lEngine.mOptions.mDebugPerformance = True; + lEngine.train(df , b1.mTimeVar , b1.mSignalVar, H); + lEngine.getModelInfo(); + print(lEngine.mSignalDecomposition.mTrPerfDetails.head()); + + print(lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mResolution) + + lEngine.standardPlots("outputs/my_ozone_custom_split_" + str(folds) + "_" + str(start_validation_at_fold)); + + dfapp_in = df.copy(); + dfapp_in.tail() + + #H = 12 + dfapp_out = lEngine.forecast(dfapp_in, H); + #dfapp_out.to_csv("outputs/ozone_apply_out.csv") + dfapp_out.tail(2 * H) + print("Forecast Columns " , dfapp_out.columns); + Forecast_DF = dfapp_out[[b1.mTimeVar , b1.mSignalVar, b1.mSignalVar + '_Forecast']] + print(Forecast_DF.info()) + print("Forecasts\n" , Forecast_DF.tail(H)); + + print("\n\n") + print(lEngine.to_json()); + print("\n\n") + print("\n\n") + print(Forecast_DF.tail(2*H).to_json(date_format='iso')) + print("\n\n") + + + +nfolds = 5 +for i in range(nfolds - 1): + test_ozone_custom(nfolds , i + 1) From 573d23b21162ca1707e78f4bf2612691e38a4933 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Mon, 24 Sep 2018 19:33:56 +0200 Subject: [PATCH 12/28] Investigate cross-validation methods for time series #53 Use generic formula for selecting models --- TS/SignalDecomposition.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/TS/SignalDecomposition.py b/TS/SignalDecomposition.py index b9f00a88e..fabd668f4 100644 --- a/TS/SignalDecomposition.py +++ b/TS/SignalDecomposition.py @@ -438,24 +438,26 @@ def collectPerformanceIndices_ModelSelection(self) : for transform1 in self.mTransformList: sigdec = self.mSigDecByTransform[transform1.get_name("")] for (model , value) in sorted(sigdec.mPerfsByModel.items()): - self.mPerfsByModel[model] = value[0].get_model_category(); + self.mPerfsByModel[model] = value lTranformName = sigdec.mSignal; - lModelFormula = model.get_model_category() + lModelFormula = model + lModelCategory = value[0].get_model_category() + lSplit = value[0].mTimeInfo.mOptions.mCustomSplit # value format : self.mPerfsByModel[lModel.mOutName] = [lModel, lComplexity, lFitPerf , lForecastPerf, lTestPerf]; lComplexity = value[1]; lFitPerf = value[2]; lForecastPerf = value[3]; lTestPerf = value[4]; - row = [lTranformName, lModelFormula , lComplexity, + row = [lSplit, lTranformName, lModelFormula , lModelCategory, lComplexity, lFitPerf.getCriterionValue(self.mOptions.mModelSelection_Criterion), lForecastPerf.getCriterionValue(self.mOptions.mModelSelection_Criterion), lTestPerf.getCriterionValue(self.mOptions.mModelSelection_Criterion)] rows_list.append(row); if(self.mOptions.mDebugPerformance): - logger.info("collectPerformanceIndices : " + self.mOptions.mModelSelection_Criterion + " " + str(row[0]) + " " + str(row[1]) + " " + str(row[2]) + " " +str(row[5])); + logger.info("collectPerformanceIndices : " + self.mOptions.mModelSelection_Criterion + " " + str(row[0]) + " " + str(row[2]) + " " + str(row[4]) + " " +str(row[7])); self.mTrPerfDetails = pd.DataFrame(rows_list, columns= - ('Transformation', 'Model', 'Complexity', + ('Split', 'Transformation', 'Model', 'Category', 'Complexity', 'Fit' + self.mOptions.mModelSelection_Criterion, 'Forecast' + self.mOptions.mModelSelection_Criterion, 'Test' + self.mOptions.mModelSelection_Criterion)) @@ -475,8 +477,10 @@ def collectPerformanceIndices_ModelSelection(self) : lInterestingModels.sort_values(by=['Complexity'] , ascending=True, inplace=True) # print(self.mTransformList); # print(lInterestingModels.head()); + # print(self.mPerfsByModel); lBestName = lInterestingModels['Model'].iloc[0]; self.mBestModel = self.mPerfsByModel[lBestName][0]; + # print(lBestName, self.mBestModel) if(self.mOptions.mDebugProfile): logger.info("MODEL_SELECTION_TIME_IN_SECONDS " + str(self.mBestModel.mSignal) + " " + str(time.time() - modelsel_start_time)) From 462e39ccc73e1d4314bffc39f87bf97c3a42e1bb Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Tue, 25 Sep 2018 09:15:21 +0200 Subject: [PATCH 13/28] Corrected a typo --- TS/Signal_Transformation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TS/Signal_Transformation.py b/TS/Signal_Transformation.py index 8138f8ec7..d02cd46e6 100644 --- a/TS/Signal_Transformation.py +++ b/TS/Signal_Transformation.py @@ -141,7 +141,7 @@ class cSignalTransform_None(cAbstractSignalTransform): def __init__(self): cAbstractSignalTransform.__init__(self); - self.mFormula = "NoTansf"; + self.mFormula = "NoTransf"; self.mComplexity = 0; pass From 625a5622d8690d853ca5edc9db4818b132f4255f Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Wed, 26 Sep 2018 09:27:12 +0200 Subject: [PATCH 14/28] Add the possibility to use cross validation when training PyAF models #105 Option. Cross validation control. --- TS/Options.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/TS/Options.py b/TS/Options.py index df43545a9..60a6f0ead 100644 --- a/TS/Options.py +++ b/TS/Options.py @@ -93,6 +93,10 @@ def disable_all_periodics(self): def disable_all_autoregressions(self): self.set_active_autoregressions([]); +class cCrossValidationOptions: + def __init__(self): + self.mMethod = None; + self.mNbFolds = 10 class cSignalDecomposition_Options(cModelControl): @@ -101,7 +105,7 @@ def __init__(self): super().__init__(); self.mParallelMode = True; self.mNbCores = 8; - self.mEstimRatio = 0.8; + self.mEstimRatio = 0.8; # to be deprecated when cross validation is OK. self.mCustomSplit = None self.mAddPredictionIntervals = True self.enable_fast_mode(); @@ -119,6 +123,7 @@ def __init__(self): self.mHierarchicalCombinationMethod = "BU"; self.mForecastRectifier = None # can be "relu" to force positive forecast values self.mXGBOptions = None + self.mCrossValidationOptions = cCrossValidationOptions() self.disableDebuggingOptions(); def disableDebuggingOptions(self): From 2fc58a980894749c8026321bac77d418f6826801 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Wed, 26 Sep 2018 09:27:51 +0200 Subject: [PATCH 15/28] Add the possibility to use cross validation when training PyAF models #105 The etst dataset is optional. --- TS/PredictionIntervals.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/TS/PredictionIntervals.py b/TS/PredictionIntervals.py index 88224409b..88b56d337 100644 --- a/TS/PredictionIntervals.py +++ b/TS/PredictionIntervals.py @@ -44,7 +44,8 @@ def computePerformances(self): self.mForecastPerformances[lHorizonName] = tsperf.cPerf(); self.mForecastPerformances[lHorizonName].compute(lOriginalForecast[lSignalColumn], lFrameForecast[lForecastColumn], lHorizonName); self.mTestPerformances[lHorizonName] = tsperf.cPerf(); - self.mTestPerformances[lHorizonName].compute(lOriginalTest[lSignalColumn], lFrameTest[lForecastColumn], lHorizonName); + if(lOriginalTest.shape[0] > 0): + self.mTestPerformances[lHorizonName].compute(lOriginalTest[lSignalColumn], lFrameTest[lForecastColumn], lHorizonName); df1 = df2[[lTimeColumn , lForecastColumn]]; df1.columns = [lTimeColumn , lSignalColumn] # self.dump_detailed(); From 0a587d51a2c8ff8125aa29e1d66395a4ba5f21c2 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Wed, 26 Sep 2018 09:28:22 +0200 Subject: [PATCH 16/28] Add the possibility to use cross validation when training PyAF models #105 The Test dataset is optional --- TS/TimeSeriesModel.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/TS/TimeSeriesModel.py b/TS/TimeSeriesModel.py index 7a60b00d1..7bc84714c 100644 --- a/TS/TimeSeriesModel.py +++ b/TS/TimeSeriesModel.py @@ -76,8 +76,9 @@ def updatePerfs(self, compute_all_indicators = False): lForecastPerf.compute(lFrameForecast[self.mOriginalSignal] , lFrameForecast[lForecastColumnName], self.mOutName + '_Forecast') - lTestPerf.compute(lFrameTest[self.mOriginalSignal] , lFrameTest[lForecastColumnName], - self.mOutName + '_Test') + if(lFrameTest.shape[0] > 0): + lTestPerf.compute(lFrameTest[self.mOriginalSignal] , lFrameTest[lForecastColumnName], + self.mOutName + '_Test') pass else: lFitPerf.computeCriterion(lFrameFit[self.mOriginalSignal] , lFrameFit[lForecastColumnName] , @@ -86,9 +87,10 @@ def updatePerfs(self, compute_all_indicators = False): lForecastPerf.computeCriterion(lFrameForecast[self.mOriginalSignal] , lFrameForecast[lForecastColumnName], self.mTimeInfo.mOptions.mModelSelection_Criterion, self.mOutName + '_Forecast') - lTestPerf.computeCriterion(lFrameTest[self.mOriginalSignal] , lFrameTest[lForecastColumnName], - self.mTimeInfo.mOptions.mModelSelection_Criterion, - self.mOutName + '_Test') + if(lFrameTest.shape[0] > 0): + lTestPerf.computeCriterion(lFrameTest[self.mOriginalSignal] , lFrameTest[lForecastColumnName], + self.mTimeInfo.mOptions.mModelSelection_Criterion, + self.mOutName + '_Test') self.mFitPerf = lFitPerf self.mForecastPerf = lForecastPerf; From 22c30b9d8d54e9f34e01f038f0bdce577db01244 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Wed, 26 Sep 2018 09:29:18 +0200 Subject: [PATCH 17/28] Add the possibility to use cross validation when training PyAF models #105 Added separate cSignalDecompositionTrainer and cSignalDecompositionTrainer_CrossValidation --- TS/SignalDecomposition.py | 153 ++++++++++++++++++++++++++++++-------- 1 file changed, 120 insertions(+), 33 deletions(-) diff --git a/TS/SignalDecomposition.py b/TS/SignalDecomposition.py index fabd668f4..354e18511 100644 --- a/TS/SignalDecomposition.py +++ b/TS/SignalDecomposition.py @@ -33,7 +33,7 @@ from . import TimeSeries_Cutting as tscut from . import Utils as tsutil - +import copy class cPerf_Arg: def __init__(self , name): @@ -324,7 +324,7 @@ def run_transform_thread(arg): arg.mSigDec.train(arg.mInputDS, arg.mTime, arg.mSignal, arg.mHorizon, arg.mTransformation); return arg; -class cSignalDecomposition: +class cSignalDecompositionTrainer: def __init__(self): self.mSigDecByTransform = {}; @@ -332,6 +332,22 @@ def __init__(self): self.mExogenousData = None; pass + def train(self, iInputDS, iTime, iSignal, iHorizon): + if(self.mOptions.mParallelMode): + self.train_multiprocessed(iInputDS, iTime, iSignal, iHorizon); + else: + self.train_not_threaded(iInputDS, iTime, iSignal, iHorizon); + + + def perform_model_selection(self): + if(self.mOptions.mDebugPerformance): + self.collectPerformanceIndices(); + else: + self.collectPerformanceIndices_ModelSelection(); + + self.cleanup_after_model_selection(); + + def validateTransformation(self , transf , df, iTime, iSignal): lName = transf.get_name(""); lIsApplicable = transf.is_applicable(df[iSignal]); @@ -538,6 +554,98 @@ def collectPerformanceIndices(self) : if(self.mOptions.mDebugProfile): logger.info("MODEL_SELECTION_TIME_IN_SECONDS " + str(self.mBestModel.mSignal) + " " + str(time.time() - modelsel_start_time)) + + def cleanup_after_model_selection(self): + lBestTransformationName = self.mBestModel.mTransformation.get_name("") + lSigDecByTransform = {} + for (name, sigdec) in self.mSigDecByTransform.items(): + if(name == lBestTransformationName): + for modelname in sigdec.mPerfsByModel.keys(): + # store only model names here. + sigdec.mPerfsByModel[modelname][0] = modelname + lSigDecByTransform[name] = sigdec + # delete failing transformations + del self.mSigDecByTransform + self.mSigDecByTransform = lSigDecByTransform + + +class cSignalDecompositionTrainer_CrossValidation: + def __init__(self): + self.mSigDecByTransform = {}; + self.mOptions = tsopts.cSignalDecomposition_Options(); + self.mExogenousData = None; + pass + + def define_splits(self): + lFolds = self.mOptions.mCrossValidationOptions.mNbFolds + lRatio = 1.0 / lFolds + lSplits = [(k * lRatio , lRatio , 0.0) for k in range(lFolds // 2, lFolds)] + return lSplits + + def train(self, iInputDS, iTime, iSignal, iHorizon): + cross_val_start_time = time.time() + logger = tsutil.get_pyaf_logger(); + self.mSplits = self.define_splits() + self.mTrainers = {} + for lSplit in self.mSplits: + split_start_time = time.time() + logger.info("CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT '" + iSignal + "' " + str(lSplit)); + lTrainer = cSignalDecompositionTrainer() + lTrainer.mOptions = copy.copy(self.mOptions); + lTrainer.mOptions.mCustomSplit = lSplit + lTrainer.mExogenousData = self.mExogenousData; + lTrainer.train(iInputDS, iTime, iSignal, iHorizon) + lTrainer.collectPerformanceIndices_ModelSelection() + self.mTrainers[lSplit] = lTrainer + logger.info("CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS '" + iSignal + "' " + str(lSplit) + " " + str(time.time() - split_start_time)) + self.perform_model_selection() + logger.info("CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS " + str(self.mBestModel.mSignal) + " " + str(time.time() - cross_val_start_time)) + + def perform_model_selection(self): + self.mTrPerfDetails = pd.DataFrame() + for (lSplit , lTrainer) in self.mTrainers.items(): + self.mTrPerfDetails = self.mTrPerfDetails.append(lTrainer.mTrPerfDetails) + # self.mTrPerfDetails.to_csv("perf_time_series_cross_val.csv") + lIndicator = 'Forecast' + self.mOptions.mModelSelection_Criterion; + lColumns = ['Category', 'Complexity', lIndicator] + lPerfByCategory = self.mTrPerfDetails[lColumns].groupby(by=['Category'] , sort=False)[lIndicator].mean() + lPerfByCategory_df = pd.DataFrame(lPerfByCategory).reset_index() + lPerfByCategory_df.columns = ['Category' , lIndicator] + # lPerfByCategory_df.to_csv("perf_time_series_cross_val_by_category.csv") + lBestPerf = lPerfByCategory_df[ lIndicator ].min(); + lPerfByCategory_df.sort_values(by=[lIndicator, 'Category'] , + ascending=[True, True], + inplace=True); + lPerfByCategory_df = lPerfByCategory_df.reset_index(drop=True); + + lInterestingCategories_df = lPerfByCategory_df[lPerfByCategory_df[lIndicator] <= (lBestPerf + 0.01)].reset_index(drop=True); + # print(lPerfByCategory_df.head()); + # print(lInterestingCategories_df.head()); + # print(self.mPerfsByModel); + lInterestingCategories = list(lInterestingCategories_df['Category'].unique()) + self.mTrPerfDetails['IC'] = self.mTrPerfDetails['Category'].apply(lambda x :1 if x in lInterestingCategories else 0) + lInterestingModels = self.mTrPerfDetails[self.mTrPerfDetails['IC'] == 1].copy() + lInterestingModels.sort_values(by=['Complexity'] , ascending=True, inplace=True) + # print(self.mTransformList); + # print(lInterestingModels.head()); + lBestName = lInterestingModels['Model'].iloc[0]; + lBestSplit = lInterestingModels['Split'].iloc[0]; + # print(self.mTrainers.keys()) + lBestTrainer = self.mTrainers[lBestSplit] + self.mBestModel = lBestTrainer.mPerfsByModel[lBestName][0]; + # print(lBestName, self.mBestModel) + if(self.mOptions.mDebugProfile): + logger.info("MODEL_SELECTION_TIME_IN_SECONDS " + str(self.mBestModel.mSignal) + " " + str(time.time() - modelsel_start_time)) + pass + + +class cSignalDecomposition: + + def __init__(self): + self.mSigDecByTransform = {}; + self.mOptions = tsopts.cSignalDecomposition_Options(); + self.mExogenousData = None; + pass def checkData(self, iInputDS, iTime, iSignal, iHorizon, iExogenousData): if(iHorizon != int(iHorizon)): @@ -570,21 +678,6 @@ def checkData(self, iInputDS, iTime, iSignal, iHorizon, iExogenousData): if(type1 != type3): raise tsutil.PyAF_Error("PYAF_ERROR_INCOMPATIBLE_TIME_COLUMN_TYPE_IN_EXOGENOUS '" + str(iTime) + "' '" + str(type1) + "' '" + str(type3) + "'"); - - def cleanup_after_model_selection(self): - lBestTransformationName = self.mBestModel.mTransformation.get_name("") - lSigDecByTransform = {} - for (name, sigdec) in self.mSigDecByTransform.items(): - if(name == lBestTransformationName): - for modelname in sigdec.mPerfsByModel.keys(): - # store only model names here. - sigdec.mPerfsByModel[modelname][0] = modelname - lSigDecByTransform[name] = sigdec - # delete failing transformations - del self.mSigDecByTransform - self.mSigDecByTransform = lSigDecByTransform - - # @profile def train(self , iInputDS, iTime, iSignal, iHorizon, iExogenousData = None): logger = tsutil.get_pyaf_logger(); @@ -595,23 +688,17 @@ def train(self , iInputDS, iTime, iSignal, iHorizon, iExogenousData = None): self.mTrainingDataset = iInputDS; self.mExogenousData = iExogenousData; - - if(self.mOptions.mParallelMode): - self.train_multiprocessed(iInputDS, iTime, iSignal, iHorizon); - else: - self.train_not_threaded(iInputDS, iTime, iSignal, iHorizon); - - - # for (name, sigdec) in self.mSigDecByTransform.items(): - # sigdec.collectPerformanceIndices(); - - if(self.mOptions.mDebugPerformance): - self.collectPerformanceIndices(); - else: - self.collectPerformanceIndices_ModelSelection(); - - self.cleanup_after_model_selection(); + lTrainer = cSignalDecompositionTrainer() + if(self.mOptions.mCrossValidationOptions.mMethod is not None): + lTrainer = cSignalDecompositionTrainer_CrossValidation() + lTrainer.mOptions = self.mOptions; + lTrainer.mExogenousData = iExogenousData; + lTrainer.train(iInputDS, iTime, iSignal, iHorizon) + lTrainer.perform_model_selection() + self.mBestModel = lTrainer.mBestModel + self.mTrPerfDetails = lTrainer.mTrPerfDetails + # Prediction Intervals pred_interval_start_time = time.time() self.mBestModel.updatePerfs(compute_all_indicators = True); From 47e90e5eba2bdb30d397306257c08a5db21b2590 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Wed, 26 Sep 2018 09:30:39 +0200 Subject: [PATCH 18/28] Add the possibility to use cross validation when training PyAF models #105 Added two tests for cross validation. --- .../test_air_passengers_cross_valid.py | 48 +++++++++++++++++ .../test_ozone_cross_valid.py | 52 +++++++++++++++++++ 2 files changed, 100 insertions(+) create mode 100644 tests/cross_validation/test_air_passengers_cross_valid.py create mode 100644 tests/cross_validation/test_ozone_cross_valid.py diff --git a/tests/cross_validation/test_air_passengers_cross_valid.py b/tests/cross_validation/test_air_passengers_cross_valid.py new file mode 100644 index 000000000..12fe6a8bf --- /dev/null +++ b/tests/cross_validation/test_air_passengers_cross_valid.py @@ -0,0 +1,48 @@ +import pandas as pd +import numpy as np + +import pyaf.ForecastEngine as autof +import pyaf.Bench.TS_datasets as tsds + +b1 = tsds.load_airline_passengers() +df = b1.mPastData + +df.head() + + +lEngine = autof.cForecastEngine() +lEngine + +H = b1.mHorizon; +# lEngine.mOptions.enable_slow_mode(); +lEngine.mOptions.mCrossValidationOptions.mMethod = "TSCV"; + +lEngine.mOptions.mParallelMode = True; +lEngine.train(df , b1.mTimeVar , b1.mSignalVar, H); +lEngine.getModelInfo(); +print(lEngine.mSignalDecomposition.mTrPerfDetails.head()); + +lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mResolution + +lEngine.standardPlots(name = "outputs/my_airline_passengers_cross_valid") + +dfapp_in = df.copy(); +dfapp_in.tail() + +#H = 12 +dfapp_out = lEngine.forecast(dfapp_in, H); +dfapp_out.tail(2 * H) +print("Forecast Columns " , dfapp_out.columns); +lForecastColumnName = b1.mSignalVar + '_Forecast' +Forecast_DF = dfapp_out[[b1.mTimeVar , b1.mSignalVar, lForecastColumnName , lForecastColumnName + '_Lower_Bound', lForecastColumnName + '_Upper_Bound' ]] +print(Forecast_DF.info()) +print("Forecasts\n" , Forecast_DF.tail(2*H)); + +print("\n\n") +print(lEngine.to_json()); +print("\n\n") +print("\n\n") +print(Forecast_DF.tail(2*H).to_json(date_format='iso')) +print("\n\n") + +# lEngine.standardPlots(name = "outputs/airline_passengers") diff --git a/tests/cross_validation/test_ozone_cross_valid.py b/tests/cross_validation/test_ozone_cross_valid.py new file mode 100644 index 000000000..3837c784b --- /dev/null +++ b/tests/cross_validation/test_ozone_cross_valid.py @@ -0,0 +1,52 @@ +from __future__ import absolute_import + +import pandas as pd +import numpy as np + + +import pyaf.ForecastEngine as autof +import pyaf.Bench.TS_datasets as tsds + + +b1 = tsds.load_ozone() +df = b1.mPastData + +#df.tail(10) +#df[:-10].tail() +#df[:-10:-1] +#df.describe() + + +lEngine = autof.cForecastEngine() +lEngine + +H = b1.mHorizon; +# lEngine.mOptions.enable_slow_mode(); +lEngine.mOptions.mCrossValidationOptions.mMethod = "TSCV"; +lEngine.train(df , b1.mTimeVar , b1.mSignalVar, H); +lEngine.getModelInfo(); +print(lEngine.mSignalDecomposition.mTrPerfDetails.head()); + +lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mResolution + +lEngine.standardPlots("outputs/my_ozone_cross_valid"); + +dfapp_in = df.copy(); +dfapp_in.tail() + +#H = 12 +dfapp_out = lEngine.forecast(dfapp_in, H); +#dfapp_out.to_csv("outputs/ozone_apply_out.csv") +dfapp_out.tail(2 * H) +print("Forecast Columns " , dfapp_out.columns); +Forecast_DF = dfapp_out[[b1.mTimeVar , b1.mSignalVar, b1.mSignalVar + '_Forecast']] +print(Forecast_DF.info()) +print("Forecasts\n" , Forecast_DF.tail(H)); + +print("\n\n") +print(lEngine.to_json()); +print("\n\n") +print("\n\n") +print(Forecast_DF.tail(2*H).to_json(date_format='iso')) +print("\n\n") + From fcf90a4e9c871846ee5b59e51bb9184bdf016ab7 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Wed, 26 Sep 2018 10:48:04 +0200 Subject: [PATCH 19/28] Updated log references --- tests/references/demos_demo1.log | 8 +- .../references/exog_test_ozone_exogenous.log | 26 +- .../exog_test_ozone_exogenous_profile.log | 6 +- ..._test_ozone_exogenous_with_categorical.log | 154 +++--- tests/references/func_test_air_passengers.log | 30 +- tests/references/func_test_ar.log | 22 +- tests/references/func_test_const_signal.log | 6 +- tests/references/func_test_cycle.log | 12 +- tests/references/func_test_cycles_full.log | 100 ++-- tests/references/func_test_ozone.log | 28 +- .../references/func_test_ozone_bench_mode.log | 130 ++--- .../func_test_ozone_with_logging.log | 28 +- .../heroku_test_air_passengers_heroku.log | 26 +- .../heroku_test_ozone_exog_heroku.log | 24 +- tests/references/heroku_test_ozone_heroku.log | 24 +- .../heroku_test_seasonal_week_of_year.log | 24 +- ..._control_test_ozone_all_models_enabled.log | 138 ++--- ...l_control_test_ozone_no_models_enabled.log | 14 +- .../perfs_test_ozone_perf_measure_L1.log | 225 ++++---- .../perfs_test_ozone_perf_measure_L2.log | 221 ++++---- .../perfs_test_ozone_perf_measure_MAPE.log | 225 ++++---- .../perfs_test_ozone_perf_measure_MASE.log | 225 ++++---- .../references/real-life_test_sof_example.log | 163 +++--- .../real-life_test_sof_example2.log | 222 ++++---- .../svr_test_air_passengers_svr.log | 28 +- .../svr_test_air_passengers_svr_only.log | 99 ++-- tests/references/svr_test_ozone_svr.log | 28 +- tests/references/svr_test_ozone_svr_only.log | 129 ++--- .../references/time_res_test_ozone_Daily.log | 54 +- .../references/time_res_test_ozone_Hourly.log | 48 +- .../time_res_test_ozone_Minutely.log | 215 ++++---- .../time_res_test_ozone_Secondly.log | 48 +- .../references/time_res_test_ozone_Weekly.log | 54 +- ...sformations_test_ozone_transf_anscombe.log | 78 +-- ...ansformations_test_ozone_transf_boxcox.log | 510 +++++++++--------- ...ansformations_test_ozone_transf_cumsum.log | 73 +-- ...ormations_test_ozone_transf_difference.log | 78 +-- ...ansformations_test_ozone_transf_fisher.log | 79 +-- ...ransformations_test_ozone_transf_logit.log | 78 +-- ...transformations_test_ozone_transf_none.log | 81 +-- ...mations_test_ozone_transf_quantization.log | 172 +++--- ..._test_ozone_transf_relative_difference.log | 72 +-- ...est_ozone_transf_relative_difference_1.log | 332 ++++++------ .../xgb_test_air_passengers_xgb.log | 30 +- .../xgb_test_air_passengers_xgb_only.log | 97 ++-- ...assengers_xgb_only_with_custom_options.log | 97 ++-- tests/references/xgb_test_ozone_xgb.log | 28 +- .../xgb_test_ozone_xgb_exogenous.log | 14 +- tests/references/xgb_test_ozone_xgb_only.log | 130 ++--- .../xgb_test_ozone_xgbx_exogenous.log | 14 +- 50 files changed, 2440 insertions(+), 2307 deletions(-) diff --git a/tests/references/demos_demo1.log b/tests/references/demos_demo1.log index c68f9037d..b6d1aff61 100644 --- a/tests/references/demos_demo1.log +++ b/tests/references/demos_demo1.log @@ -1,13 +1,13 @@ INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 9.055707454681396 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.294540166854858 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2016-01-25T00:00:00.000000 TimeMax=2016-11-05T00:00:00.000000 TimeDelta= Horizon=7 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=-0.621977585679 Max=28.8753725029 Mean=13.9286157889 StdDev=6.67978077852 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=-0.621977585679 Max=28.8753725029 Mean=13.9286157889 StdDev=6.67978077852 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [ConstantTrend + NoCycle + AR(64)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [ConstantTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [AR(64)] +INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.3497 MAPE_Forecast=0.0732 MAPE_Test=0.1264 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1509 SMAPE_Forecast=0.0754 SMAPE_Test=0.1353 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.5554 MASE_Forecast=0.4755 MASE_Test=0.8079 @@ -27,7 +27,7 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Signal_ConstantTrend_residue_zeroCycle_residue_L INFO:pyaf.std:AR_MODEL_COEFF 10 _Signal_ConstantTrend_residue_zeroCycle_residue_Lag8 -0.123655045302 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.715949535369873 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6452229022979736 Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', diff --git a/tests/references/exog_test_ozone_exogenous.log b/tests/references/exog_test_ozone_exogenous.log index 0d9ae0b7c..c946e82bd 100644 --- a/tests/references/exog_test_ozone_exogenous.log +++ b/tests/references/exog_test_ozone_exogenous.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 33.120577812194824 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 31.455743551254272 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ConstantTrend + Seasonal_MonthOfYear + ARX(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ConstantTrend + Seasonal_MonthOfYear + ARX] INFO:pyaf.std:TREND_DETAIL '_Ozone_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear' [Seasonal_MonthOfYear] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ARX(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ARX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1601 MAPE_Forecast=0.1636 MAPE_Test=0.2016 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.154 SMAPE_Forecast=0.1621 SMAPE_Test=0.183 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6903 MASE_Forecast=0.6517 MASE_Test=1.043 @@ -33,9 +33,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Month_Lag9 -0.269540473746 INFO:pyaf.std:AR_MODEL_COEFF 10 Month_Lag34 -0.26202374967 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.30066466331482 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 12.5812406539917 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.9578073024749756 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.683685541152954 Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_ConstantTrend', '_Ozone_ConstantTrend_residue', '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear', @@ -60,18 +60,18 @@ dtypes: datetime64[ns](1), float64(2) memory usage: 5.1 KB None Forecasts - [[Timestamp('1972-01-01 00:00:00') nan 1.2289233828807171] - [Timestamp('1972-02-01 00:00:00') nan 1.6683383604345954] + [[Timestamp('1972-01-01 00:00:00') nan 1.2289233828807162] + [Timestamp('1972-02-01 00:00:00') nan 1.6683383604345952] [Timestamp('1972-03-01 00:00:00') nan 2.1651890480783447] [Timestamp('1972-04-01 00:00:00') nan 2.885401366369951] [Timestamp('1972-05-01 00:00:00') nan 2.8653922848611746] [Timestamp('1972-06-01 00:00:00') nan 3.8193568332484045] [Timestamp('1972-07-01 00:00:00') nan 4.3548280425624775] [Timestamp('1972-08-01 00:00:00') nan 4.272582646774589] - [Timestamp('1972-09-01 00:00:00') nan 4.208792885617818] - [Timestamp('1972-10-01 00:00:00') nan 3.7037453798999245] - [Timestamp('1972-11-01 00:00:00') nan 2.412390312753254] - [Timestamp('1972-12-01 00:00:00') nan 1.5499529583433953]] + [Timestamp('1972-09-01 00:00:00') nan 4.208792885617817] + [Timestamp('1972-10-01 00:00:00') nan 3.7037453798999236] + [Timestamp('1972-11-01 00:00:00') nan 2.4123903127532547] + [Timestamp('1972-12-01 00:00:00') nan 1.5499529583433957]] @@ -89,10 +89,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "ARX(51)", + "AR_Model": "ARX", "Best_Decomposition": "_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)", "Cycle": "Seasonal_MonthOfYear", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/exog_test_ozone_exogenous_profile.log b/tests/references/exog_test_ozone_exogenous_profile.log index b22d53d01..d3f0f0c73 100644 --- a/tests/references/exog_test_ozone_exogenous_profile.log +++ b/tests/references/exog_test_ozone_exogenous_profile.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 33.08267855644226 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 31.33966851234436 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ConstantTrend + Seasonal_MonthOfYear + ARX(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ConstantTrend + Seasonal_MonthOfYear + ARX] INFO:pyaf.std:TREND_DETAIL '_Ozone_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear' [Seasonal_MonthOfYear] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ARX(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_ARX(51)' [ARX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1601 MAPE_Forecast=0.1636 MAPE_Test=0.2016 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.154 SMAPE_Forecast=0.1621 SMAPE_Test=0.183 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6903 MASE_Forecast=0.6517 MASE_Test=1.043 diff --git a/tests/references/exog_test_ozone_exogenous_with_categorical.log b/tests/references/exog_test_ozone_exogenous_with_categorical.log index cffc0c6e1..9b8fcec20 100644 --- a/tests/references/exog_test_ozone_exogenous_with_categorical.log +++ b/tests/references/exog_test_ozone_exogenous_with_categorical.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone2' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3.6 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 5.0 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 6.5 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.243297815322876 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.0363805294036865 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1959-03-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ConstantTrend + NoCycle + ARX(12)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ConstantTrend + NoCycle + ARX] INFO:pyaf.std:TREND_DETAIL '_Ozone2_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ARX(12)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ARX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=1085695694.01 MAPE_Forecast=1085695694.01 MAPE_Test=1085695694.01 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.4472 SMAPE_Forecast=0.4472 SMAPE_Test=0.4472 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4746 MASE_Forecast=0.4746 MASE_Test=0.4746 @@ -33,19 +33,19 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Exog4=P_S_Lag7 -0.113199340445 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone2_ConstantTrend_residue_zeroCycle_residue_Lag6 -0.0828864956652 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.178022384643555 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.864896297454834 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9936432838439941 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9200482368469238 INFO:pyaf.std:START_TRAINING 'Ozone2' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.2129361629486084 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 3.0635030269622803 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1959-03-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.80588235294 StdDev=5.03997400261 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ConstantTrend + NoCycle + ARX(12)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ConstantTrend + NoCycle + ARX] INFO:pyaf.std:TREND_DETAIL '_Ozone2_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ARX(12)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)' [ARX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=1085695694.01 MAPE_Forecast=1085695694.01 MAPE_Test=1085695694.01 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.4472 SMAPE_Forecast=0.4472 SMAPE_Test=0.4472 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4746 MASE_Forecast=0.4746 MASE_Test=0.4746 @@ -65,19 +65,19 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Exog4=P_S_Lag7 -0.113199340445 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone2_ConstantTrend_residue_zeroCycle_residue_Lag6 -0.0828864956652 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.015160083770752 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.699293375015259 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9781792163848877 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9121286869049072 INFO:pyaf.std:START_TRAINING 'Ozone2' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 8.439167261123657 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 8.060745000839233 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1960-12-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.57450980392 StdDev=4.2494448605 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.57450980392 StdDev=4.2494448605 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(25)' [ConstantTrend + NoCycle + ARX(25)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(25)' [ConstantTrend + NoCycle + ARX] INFO:pyaf.std:TREND_DETAIL '_Ozone2_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(25)' [ARX(25)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(25)' [ARX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=2816366348.09 MAPE_Forecast=0.3508 MAPE_Test=0.3335 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.3667 SMAPE_Forecast=0.3038 SMAPE_Test=0.3286 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4361 MASE_Forecast=0.715 MASE_Test=0.57 @@ -86,20 +86,20 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=2.17661759957 L2_Forecast=2.28622002338 L2_Test=2. INFO:pyaf.std:MODEL_COMPLEXITY 18 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_COEFF 1 Exog3=AU_Lag4 1.57596243255 -INFO:pyaf.std:AR_MODEL_COEFF 2 Exog3=AT_Lag5 1.57596243255 -INFO:pyaf.std:AR_MODEL_COEFF 3 Exog2=3_Lag6 1.57596243255 -INFO:pyaf.std:AR_MODEL_COEFF 4 Exog3=AS_Lag6 1.57596243255 -INFO:pyaf.std:AR_MODEL_COEFF 5 Exog2=2_Lag7 1.57596243255 -INFO:pyaf.std:AR_MODEL_COEFF 6 Exog3=AR_Lag7 1.57596243255 -INFO:pyaf.std:AR_MODEL_COEFF 7 Exog2=4_Lag5 1.57596243255 +INFO:pyaf.std:AR_MODEL_COEFF 2 Exog2=4_Lag5 1.57596243255 +INFO:pyaf.std:AR_MODEL_COEFF 3 Exog3=AT_Lag5 1.57596243255 +INFO:pyaf.std:AR_MODEL_COEFF 4 Exog2=3_Lag6 1.57596243255 +INFO:pyaf.std:AR_MODEL_COEFF 5 Exog3=AS_Lag6 1.57596243255 +INFO:pyaf.std:AR_MODEL_COEFF 6 Exog2=2_Lag7 1.57596243255 +INFO:pyaf.std:AR_MODEL_COEFF 7 Exog3=AR_Lag7 1.57596243255 INFO:pyaf.std:AR_MODEL_COEFF 8 Exog2=5_Lag4 1.57596243255 INFO:pyaf.std:AR_MODEL_COEFF 9 Exog3=AQ_Lag8 0.712012454585 INFO:pyaf.std:AR_MODEL_COEFF 10 Exog3=AR_Lag19 -0.308344359759 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 10.407602071762085 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 9.952092170715332 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 2.6997621059417725 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 2.3882765769958496 Forecast Columns Index(['Time', 'Ozone2', '_Ozone2', 'row_number', 'Time_Normalized', '_Ozone2_ConstantTrend', '_Ozone2_ConstantTrend_residue', '_Ozone2_ConstantTrend_residue_zeroCycle', @@ -123,18 +123,18 @@ dtypes: datetime64[ns](1), float64(2) memory usage: 1.6 KB None Forecasts - [[Timestamp('1959-04-01 00:00:00') nan 3.0228210273075393] + [[Timestamp('1959-04-01 00:00:00') nan 3.022821027307538] [Timestamp('1959-05-01 00:00:00') nan 4.225903038436773] [Timestamp('1959-06-01 00:00:00') nan 3.4430603326399267] [Timestamp('1959-07-01 00:00:00') nan 8.738431531440781] - [Timestamp('1959-08-01 00:00:00') nan 5.734750939505019] - [Timestamp('1959-09-01 00:00:00') nan 13.08476011521287] - [Timestamp('1959-10-01 00:00:00') nan 5.9003859507736705] - [Timestamp('1959-11-01 00:00:00') nan 5.8525023163884935] - [Timestamp('1959-12-01 00:00:00') nan 3.154309866765943] - [Timestamp('1960-01-01 00:00:00') nan 6.307716059331559] - [Timestamp('1960-02-01 00:00:00') nan 3.0856025130798446] - [Timestamp('1960-03-01 00:00:00') nan 5.536200802359442]] + [Timestamp('1959-08-01 00:00:00') nan 5.734750939505018] + [Timestamp('1959-09-01 00:00:00') nan 13.084760115212866] + [Timestamp('1959-10-01 00:00:00') nan 5.90038595077367] + [Timestamp('1959-11-01 00:00:00') nan 5.852502316388493] + [Timestamp('1959-12-01 00:00:00') nan 3.1543098667659475] + [Timestamp('1960-01-01 00:00:00') nan 6.307716059331562] + [Timestamp('1960-02-01 00:00:00') nan 3.0856025130798423] + [Timestamp('1960-03-01 00:00:00') nan 5.536200802359438]] @@ -152,10 +152,10 @@ Forecasts "Training_Signal_Length": 51 }, "Model": { - "AR_Model": "ARX(12)", + "AR_Model": "ARX", "Best_Decomposition": "_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -199,18 +199,18 @@ dtypes: datetime64[ns](1), float64(2) memory usage: 1.6 KB None Forecasts - [[Timestamp('1959-04-01 00:00:00') nan 3.0228210273075393] + [[Timestamp('1959-04-01 00:00:00') nan 3.022821027307538] [Timestamp('1959-05-01 00:00:00') nan 4.225903038436773] [Timestamp('1959-06-01 00:00:00') nan 3.4430603326399267] [Timestamp('1959-07-01 00:00:00') nan 8.738431531440781] - [Timestamp('1959-08-01 00:00:00') nan 5.734750939505019] - [Timestamp('1959-09-01 00:00:00') nan 13.08476011521287] - [Timestamp('1959-10-01 00:00:00') nan 5.9003859507736705] - [Timestamp('1959-11-01 00:00:00') nan 5.8525023163884935] - [Timestamp('1959-12-01 00:00:00') nan 3.154309866765943] - [Timestamp('1960-01-01 00:00:00') nan 6.307716059331559] - [Timestamp('1960-02-01 00:00:00') nan 3.0856025130798446] - [Timestamp('1960-03-01 00:00:00') nan 5.536200802359442]] + [Timestamp('1959-08-01 00:00:00') nan 5.734750939505018] + [Timestamp('1959-09-01 00:00:00') nan 13.084760115212866] + [Timestamp('1959-10-01 00:00:00') nan 5.90038595077367] + [Timestamp('1959-11-01 00:00:00') nan 5.852502316388493] + [Timestamp('1959-12-01 00:00:00') nan 3.1543098667659475] + [Timestamp('1960-01-01 00:00:00') nan 6.307716059331562] + [Timestamp('1960-02-01 00:00:00') nan 3.0856025130798423] + [Timestamp('1960-03-01 00:00:00') nan 5.536200802359438]] @@ -228,10 +228,10 @@ Forecasts "Training_Signal_Length": 51 }, "Model": { - "AR_Model": "ARX(12)", + "AR_Model": "ARX", "Best_Decomposition": "_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(12)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -267,15 +267,15 @@ Forecast Columns Index(['Time', 'Ozone2', '_Ozone2', 'row_number', 'Time_Normal '_Ozone2_TransformedResidue', 'Ozone2_Residue', 'Ozone2_Forecast_Lower_Bound', 'Ozone2_Forecast_Upper_Bound'], dtype='object')INFO:pyaf.std:START_TRAINING 'Ozone2' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 17.022101640701294 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone2' 14.932523012161255 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone2' Min=0.0 Max=26.1 Mean=5.54264705882 StdDev=3.82404606238 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone2' Min=0.0 Max=26.1 Mean=5.54264705882 StdDev=3.82404606238 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(51)' [ConstantTrend + NoCycle + ARX(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(51)' [ConstantTrend + NoCycle + ARX] INFO:pyaf.std:TREND_DETAIL '_Ozone2_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(51)' [ARX(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(51)' [ARX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=1155540983.75 MAPE_Forecast=0.3059 MAPE_Test=0.2789 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.3127 SMAPE_Forecast=0.2769 SMAPE_Test=0.2328 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4148 MASE_Forecast=0.5234 MASE_Test=0.5512 @@ -284,20 +284,20 @@ INFO:pyaf.std:MODEL_L2 L2_Fit=1.74072132203 L2_Forecast=2.06542578835 L2_Test=1. INFO:pyaf.std:MODEL_COMPLEXITY 38 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_COEFF 1 Exog2=5_Lag4 1.6418815066 -INFO:pyaf.std:AR_MODEL_COEFF 2 Exog3=AT_Lag5 1.6418815066 -INFO:pyaf.std:AR_MODEL_COEFF 3 Exog2=3_Lag6 1.6418815066 +INFO:pyaf.std:AR_MODEL_COEFF 2 Exog2=3_Lag6 1.6418815066 +INFO:pyaf.std:AR_MODEL_COEFF 3 Exog2=2_Lag7 1.6418815066 INFO:pyaf.std:AR_MODEL_COEFF 4 Exog3=AS_Lag6 1.6418815066 -INFO:pyaf.std:AR_MODEL_COEFF 5 Exog3=AU_Lag4 1.6418815066 -INFO:pyaf.std:AR_MODEL_COEFF 6 Exog2=4_Lag5 1.6418815066 +INFO:pyaf.std:AR_MODEL_COEFF 5 Exog2=4_Lag5 1.6418815066 +INFO:pyaf.std:AR_MODEL_COEFF 6 Exog3=AT_Lag5 1.6418815066 INFO:pyaf.std:AR_MODEL_COEFF 7 Exog3=AR_Lag7 1.6418815066 -INFO:pyaf.std:AR_MODEL_COEFF 8 Exog2=2_Lag7 1.6418815066 -INFO:pyaf.std:AR_MODEL_COEFF 9 Exog3=AR_Lag43 -1.15781717492 +INFO:pyaf.std:AR_MODEL_COEFF 8 Exog3=AU_Lag4 1.6418815066 +INFO:pyaf.std:AR_MODEL_COEFF 9 Exog2=5_Lag40 -1.15781717492 INFO:pyaf.std:AR_MODEL_COEFF 10 Exog2=3_Lag42 -1.15781717492 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 14.514622449874878 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.869581937789917 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 4.721771001815796 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 4.385819673538208 RangeIndex: 114 entries, 0 to 113 @@ -309,18 +309,18 @@ dtypes: datetime64[ns](1), float64(2) memory usage: 2.8 KB None Forecasts - [[Timestamp('1963-07-01 00:00:00') nan 5.485637498573589] - [Timestamp('1963-08-01 00:00:00') nan 4.808521041340695] + [[Timestamp('1963-07-01 00:00:00') nan 5.4856374985735865] + [Timestamp('1963-08-01 00:00:00') nan 4.808521041340693] [Timestamp('1963-09-01 00:00:00') nan 18.017843349460875] - [Timestamp('1963-10-01 00:00:00') nan 4.618928433315484] + [Timestamp('1963-10-01 00:00:00') nan 4.618928433315483] [Timestamp('1963-11-01 00:00:00') nan 4.023065950950537] - [Timestamp('1963-12-01 00:00:00') nan 4.83560569963001] + [Timestamp('1963-12-01 00:00:00') nan 4.835605699630009] [Timestamp('1964-01-01 00:00:00') nan 4.185573900686432] [Timestamp('1964-02-01 00:00:00') nan 4.1314045841078] - [Timestamp('1964-03-01 00:00:00') nan 3.995981292661222] + [Timestamp('1964-03-01 00:00:00') nan 3.995981292661221] [Timestamp('1964-04-01 00:00:00') nan 4.0772352675291685] - [Timestamp('1964-05-01 00:00:00') nan 5.106452282523168] - [Timestamp('1964-06-01 00:00:00') nan 5.323129548837694]] + [Timestamp('1964-05-01 00:00:00') nan 5.106452282523167] + [Timestamp('1964-06-01 00:00:00') nan 5.323129548837692]] @@ -338,10 +338,10 @@ Forecasts "Training_Signal_Length": 102 }, "Model": { - "AR_Model": "ARX(25)", + "AR_Model": "ARX", "Best_Decomposition": "_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(25)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -387,18 +387,18 @@ dtypes: datetime64[ns](1), float64(2) memory usage: 5.1 KB None Forecasts - [[Timestamp('1972-01-01 00:00:00') nan 4.0817058793875844] - [Timestamp('1972-02-01 00:00:00') nan 3.094323648676387] - [Timestamp('1972-03-01 00:00:00') nan 3.348655303511374] - [Timestamp('1972-04-01 00:00:00') nan 3.7603397079205445] - [Timestamp('1972-05-01 00:00:00') nan 5.968413727199584] - [Timestamp('1972-06-01 00:00:00') nan 5.866737309494858] - [Timestamp('1972-07-01 00:00:00') nan 6.955799859246583] - [Timestamp('1972-08-01 00:00:00') nan 6.54974278549167] - [Timestamp('1972-09-01 00:00:00') nan 11.791656089784329] - [Timestamp('1972-10-01 00:00:00') nan 4.701621683851695] - [Timestamp('1972-11-01 00:00:00') nan 4.464601577731663] - [Timestamp('1972-12-01 00:00:00') nan 3.682985378042912]] + [[Timestamp('1972-01-01 00:00:00') nan 4.081705879387581] + [Timestamp('1972-02-01 00:00:00') nan 3.0943236486763928] + [Timestamp('1972-03-01 00:00:00') nan 3.348655303511376] + [Timestamp('1972-04-01 00:00:00') nan 3.7603397079205463] + [Timestamp('1972-05-01 00:00:00') nan 5.968413727199577] + [Timestamp('1972-06-01 00:00:00') nan 5.866737309494869] + [Timestamp('1972-07-01 00:00:00') nan 6.955799859246584] + [Timestamp('1972-08-01 00:00:00') nan 6.549742785491652] + [Timestamp('1972-09-01 00:00:00') nan 11.791656089784361] + [Timestamp('1972-10-01 00:00:00') nan 4.701621683851677] + [Timestamp('1972-11-01 00:00:00') nan 4.464601577731664] + [Timestamp('1972-12-01 00:00:00') nan 3.6829853780429067]] @@ -416,10 +416,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "ARX(51)", + "AR_Model": "ARX", "Best_Decomposition": "_Ozone2_ConstantTrend_residue_zeroCycle_residue_ARX(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/func_test_air_passengers.log b/tests/references/func_test_air_passengers.log index 93de2c9c9..0e583fef0 100644 --- a/tests/references/func_test_air_passengers.log +++ b/tests/references/func_test_air_passengers.log @@ -1,13 +1,13 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.318359851837158 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.001186847686768 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [LinearTrend + NoCycle + AR(33)] +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_AirPassengers_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [AR(33)] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0349 MAPE_Forecast=0.0217 MAPE_Test=0.0541 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0346 SMAPE_Forecast=0.022 SMAPE_Test=0.0558 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.3563 MASE_Forecast=0.2287 MASE_Test=0.495 @@ -27,17 +27,17 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag16 -0.16495284213 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.906210422515869 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.469361782073975 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.86556077003479 - Transformation ... TestMAPE -0 Diff_AirPassengers ... 0.0402 -1 _AirPassengers ... 0.0541 -2 Diff_AirPassengers ... 0.0265 -3 _AirPassengers ... 0.0596 -4 _AirPassengers ... 0.0281 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7829465866088867 + Split Transformation ... ForecastMAPE TestMAPE +0 None Diff_AirPassengers ... 0.0205 0.0402 +1 None _AirPassengers ... 0.0217 0.0541 +2 None Diff_AirPassengers ... 0.0244 0.0265 +3 None _AirPassengers ... 0.0254 0.0596 +4 None _AirPassengers ... 0.0267 0.0281 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_LinearTrend', '_AirPassengers_LinearTrend_residue', @@ -109,10 +109,10 @@ Forecasts "Training_Signal_Length": 132 }, "Model": { - "AR_Model": "AR(33)", + "AR_Model": "AR", "Best_Decomposition": "_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -129,7 +129,7 @@ Forecasts -{"time":{"120":1959.0,"121":1959.0833333333,"122":1959.1666666667,"123":1959.25,"124":1959.3333333333,"125":1959.4166666667,"126":1959.5,"127":1959.5833333333,"128":1959.6666666667,"129":1959.75,"130":1959.8333333333,"131":1959.9166666667,"132":1960.0,"133":1960.0833333333,"134":1960.1666666667,"135":1960.25,"136":1960.3333333333,"137":1960.4166666667,"138":1960.5,"139":1960.5833333333,"140":1960.6666666667,"141":1960.75,"142":1960.8333333333,"143":1960.9166666667},"AirPassengers":{"120":360.0,"121":342.0,"122":406.0,"123":396.0,"124":420.0,"125":472.0,"126":548.0,"127":559.0,"128":463.0,"129":407.0,"130":362.0,"131":405.0,"132":null,"133":null,"134":null,"135":null,"136":null,"137":null,"138":null,"139":null,"140":null,"141":null,"142":null,"143":null},"AirPassengers_Forecast":{"120":336.76433931,"121":322.8158768976,"122":370.1970011391,"123":378.032857026,"124":398.9335945668,"125":490.9916896704,"126":527.6050111738,"127":547.2692898967,"128":447.2569355178,"129":389.1498397716,"130":336.5874463251,"131":365.0545119965,"132":404.1927658782,"133":362.2723575753,"134":407.3659989041,"135":392.3773701384,"136":426.0082038065,"137":494.6325800918,"138":561.1241745773,"139":558.3950905274,"140":437.9865222534,"141":374.1309595368,"142":319.9068836751,"143":355.980727},"AirPassengers_Forecast_Lower_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":380.728110585,"133":325.1207093518,"134":357.9663450975,"135":272.4070322436,"136":98.7776096737,"137":-219.4948761306,"138":-928.2586710993,"139":-2259.4796258236,"140":-4091.7357686501,"141":-5051.1682697063,"142":-4712.3577817419,"143":-7009.1109734824},"AirPassengers_Forecast_Upper_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":427.6574211713,"133":399.4240057988,"134":456.7656527106,"135":512.3477080331,"136":753.2387979394,"137":1208.7600363143,"138":2050.507020254,"139":3376.2698068784,"140":4967.708813157,"141":5799.4301887799,"142":5352.171549092,"143":7721.0724274824}} +{"time":{"120":1959.0,"121":1959.0833333333,"122":1959.1666666667,"123":1959.25,"124":1959.3333333333,"125":1959.4166666667,"126":1959.5,"127":1959.5833333333,"128":1959.6666666667,"129":1959.75,"130":1959.8333333333,"131":1959.9166666667,"132":1960.0,"133":1960.0833333333,"134":1960.1666666667,"135":1960.25,"136":1960.3333333333,"137":1960.4166666667,"138":1960.5,"139":1960.5833333333,"140":1960.6666666667,"141":1960.75,"142":1960.8333333333,"143":1960.9166666667},"AirPassengers":{"120":360.0,"121":342.0,"122":406.0,"123":396.0,"124":420.0,"125":472.0,"126":548.0,"127":559.0,"128":463.0,"129":407.0,"130":362.0,"131":405.0,"132":null,"133":null,"134":null,"135":null,"136":null,"137":null,"138":null,"139":null,"140":null,"141":null,"142":null,"143":null},"AirPassengers_Forecast":{"120":336.76433931,"121":322.8158768976,"122":370.1970011391,"123":378.032857026,"124":398.9335945668,"125":490.9916896704,"126":527.6050111738,"127":547.2692898967,"128":447.2569355178,"129":389.1498397716,"130":336.5874463251,"131":365.0545119965,"132":404.1927658782,"133":362.2723575753,"134":407.3659989041,"135":392.3773701384,"136":426.0082038065,"137":494.6325800918,"138":561.1241745773,"139":558.3950905274,"140":437.9865222534,"141":374.1309595368,"142":319.9068836751,"143":355.980727},"AirPassengers_Forecast_Lower_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":380.728110585,"133":325.1207093518,"134":357.9663450975,"135":272.4070322436,"136":98.7776096737,"137":-219.4948761306,"138":-928.2586710994,"139":-2259.4796258236,"140":-4091.7357686502,"141":-5051.1682697064,"142":-4712.357781742,"143":-7009.1109734824},"AirPassengers_Forecast_Upper_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":427.6574211713,"133":399.4240057988,"134":456.7656527106,"135":512.3477080331,"136":753.2387979394,"137":1208.7600363143,"138":2050.507020254,"139":3376.2698068785,"140":4967.708813157,"141":5799.43018878,"142":5352.1715490921,"143":7721.0724274824}} diff --git a/tests/references/func_test_ar.log b/tests/references/func_test_ar.log index a4c39a53e..312a79ece 100644 --- a/tests/references/func_test_ar.log +++ b/tests/references/func_test_ar.log @@ -1,15 +1,15 @@ INFO:pyaf.std:START_TRAINING 'Signal' GENERATING_RANDOM_DATASET Signal_320_D_0_constant_0_None_0.1_20 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 1.5298266410827637 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 1.5247106552124023 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=2.39610784268 Mean=1.67864274484 StdDev=0.333168957193 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=2.39610784268 Mean=1.67864274484 StdDev=0.333168957193 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [ConstantTrend + NoCycle + AR(64)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [ConstantTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [AR(64)] +INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0483 MAPE_Forecast=0.0412 MAPE_Test=0.0491 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0479 SMAPE_Forecast=0.0413 SMAPE_Test=0.0472 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6579 MASE_Forecast=0.7438 MASE_Test=1.0549 @@ -29,13 +29,13 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Signal_ConstantTrend_residue_zeroCycle_residue_L INFO:pyaf.std:AR_MODEL_COEFF 10 _Signal_ConstantTrend_residue_zeroCycle_residue_Lag1 0.0693356346805 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 8.087761878967285 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.951984167098999 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.111020803451538 - Transformation ... TestMAPE -0 _Signal ... 0.0491 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0366554260253906 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Signal ... 0.0412 0.0491 -[1 rows x 6 columns] +[1 rows x 8 columns] Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', @@ -58,7 +58,7 @@ dtypes: datetime64[ns](1), float64(2) memory usage: 7.6 KB None Forecasts - [[Timestamp('2000-11-06 00:00:00') nan 2.2230232710347306] + [[Timestamp('2000-11-06 00:00:00') nan 2.223023271034731] [Timestamp('2000-11-07 00:00:00') nan 2.231936966163537] [Timestamp('2000-11-08 00:00:00') nan 2.2425169965093126] [Timestamp('2000-11-09 00:00:00') nan 2.274729010239008] @@ -85,10 +85,10 @@ Forecasts "Training_Signal_Length": 310 }, "Model": { - "AR_Model": "AR(64)", + "AR_Model": "AR", "Best_Decomposition": "_Signal_ConstantTrend_residue_zeroCycle_residue_AR(64)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/func_test_const_signal.log b/tests/references/func_test_const_signal.log index 5dcd712ce..9fe8e2405 100644 --- a/tests/references/func_test_const_signal.log +++ b/tests/references/func_test_const_signal.log @@ -1,7 +1,7 @@ INFO:pyaf.std:START_TRAINING 'Signal' GENERATING_RANDOM_DATASET Signal_320_D_0_constant_0_None_0.0_20 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 5.05426549911499 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 4.905758857727051 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=1.0 Mean=1.0 StdDev=0.0 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=1.0 Mean=1.0 StdDev=0.0 @@ -19,7 +19,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 0 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.522942304611206 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.4903838634490967 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', @@ -72,7 +72,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_zeroCycle_residue_NoAR", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/func_test_cycle.log b/tests/references/func_test_cycle.log index 11243dedb..e47093367 100644 --- a/tests/references/func_test_cycle.log +++ b/tests/references/func_test_cycle.log @@ -1,14 +1,14 @@ INFO:pyaf.std:START_TRAINING 'Signal' GENERATING_RANDOM_DATASET Signal_320_D_0_constant_12_None_0.0_20 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.462355136871338 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.372421264648438 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=7.66666666667 Mean=4.31720430108 StdDev=2.06518106451 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=7.66666666667 Mean=4.31720430108 StdDev=2.06518106451 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle_Length_24 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle_Length_24] +INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0 MAPE_Forecast=0.0 MAPE_Test=0.0 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0 SMAPE_Forecast=0.0 SMAPE_Test=0.0 @@ -19,7 +19,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5479764938354492 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.515434980392456 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', 'cycle_internal', '_Signal_ConstantTrend_residue_bestCycle_byL2', @@ -71,8 +71,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_24", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/func_test_cycles_full.log b/tests/references/func_test_cycles_full.log index f660a1d6c..77d17236b 100644 --- a/tests/references/func_test_cycles_full.log +++ b/tests/references/func_test_cycles_full.log @@ -4,7 +4,7 @@ GENERATING_RANDOM_DATASET Signal_320_D_0_constant_2_None_0.1_0 TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 9.24626898765564 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.691560983657837 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=1.51557375313 Mean=1.27712176568 StdDev=0.0990388051357 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=1.51557375313 Mean=1.27712176568 StdDev=0.0990388051357 @@ -22,16 +22,16 @@ INFO:pyaf.std:MODEL_COMPLEXITY 0 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5345070362091064 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.537524938583374 INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 9.176206111907959 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.723665237426758 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=8.17904746209 Mean=4.63612900762 StdDev=2.15349946227 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=8.17904746209 Mean=4.63612900762 StdDev=2.15349946227 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle_Length_6 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle_Length_6] +INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0239 MAPE_Forecast=0.0298 MAPE_Test=0.0115 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0238 SMAPE_Forecast=0.0285 SMAPE_Test=0.0116 @@ -42,16 +42,16 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5446028709411621 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.4928605556488037 INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.820822715759277 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.56216049194336 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=8.41065538493 Mean=4.62145809617 StdDev=2.24687069682 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=8.41065538493 Mean=4.62145809617 StdDev=2.24687069682 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle_Length_10 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle_Length_10] +INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0254 MAPE_Forecast=0.0261 MAPE_Test=0.0165 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0254 SMAPE_Forecast=0.0259 SMAPE_Test=0.0165 @@ -62,7 +62,7 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5665926933288574 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5027034282684326 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', '_Signal_ConstantTrend_residue_zeroCycle', @@ -115,7 +115,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_zeroCycle_residue_NoAR", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -191,8 +191,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_6", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -252,14 +252,14 @@ Forecasts INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.966460943222046 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.564539909362793 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=9.21320058014 Mean=4.7781712573 StdDev=2.21524380204 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=9.21320058014 Mean=4.7781712573 StdDev=2.21524380204 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle_Length_14 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle_Length_14] +INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.021 MAPE_Forecast=0.0213 MAPE_Test=0.0114 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.021 SMAPE_Forecast=0.0214 SMAPE_Test=0.0113 @@ -270,16 +270,16 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5488097667694092 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5161912441253662 INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.993922472000122 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.549423217773438 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=10.1787044136 Mean=5.37429445291 StdDev=2.55262209414 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=10.1787044136 Mean=5.37429445291 StdDev=2.55262209414 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle_Length_18 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle_Length_18] +INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0178 MAPE_Forecast=0.0203 MAPE_Test=0.0192 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0178 SMAPE_Forecast=0.0206 SMAPE_Test=0.0189 @@ -290,7 +290,27 @@ INFO:pyaf.std:MODEL_COMPLEXITY 8 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5449862480163574 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5256478786468506 +INFO:pyaf.std:START_TRAINING 'Signal' +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.770917654037476 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=10.3787659988 Mean=5.85950905922 StdDev=2.82172533131 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=10.3787659988 Mean=5.85950905922 StdDev=2.82172533131 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle + NoAR] +INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] +INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0166 MAPE_Forecast=0.0197 MAPE_Test=0.0182 +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0166 SMAPE_Forecast=0.0193 SMAPE_Test=0.0184 +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.0286 MASE_Forecast=0.0304 MASE_Test=0.0417 +INFO:pyaf.std:MODEL_L1 L1_Fit=0.0771518950241 L1_Forecast=0.0829427855573 L1_Test=0.112596450551 +INFO:pyaf.std:MODEL_L2 L2_Fit=0.0969383926926 L2_Forecast=0.108111734091 L2_Test=0.136367113292 +INFO:pyaf.std:MODEL_COMPLEXITY 8 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6556918621063232 { "Dataset": { @@ -308,8 +328,8 @@ INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5449862480163574 "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_10", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -385,8 +405,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_14", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -462,8 +482,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_18", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { @@ -487,27 +507,7 @@ Forecasts TEST_CYCLES_END 18 TEST_CYCLES_START 22 GENERATING_RANDOM_DATASET Signal_320_D_0_constant_22_None_0.1_0 -TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775INFO:pyaf.std:START_TRAINING 'Signal' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Signal' 8.95823335647583 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-08-27T00:00:00.000000 TimeDelta= Horizon=10 -INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Signal' Min=1.0 Max=10.3787659988 Mean=5.85950905922 StdDev=2.82172533131 -INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Signal' Min=1.0 Max=10.3787659988 Mean=5.85950905922 StdDev=2.82172533131 -INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [ConstantTrend + Cycle_Length_22 + NoAR] -INFO:pyaf.std:TREND_DETAIL '_Signal_ConstantTrend' [ConstantTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2' [Cycle_Length_22] -INFO:pyaf.std:AUTOREG_DETAIL '_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] -INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0166 MAPE_Forecast=0.0197 MAPE_Test=0.0182 -INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0166 SMAPE_Forecast=0.0193 SMAPE_Test=0.0184 -INFO:pyaf.std:MODEL_MASE MASE_Fit=0.0286 MASE_Forecast=0.0304 MASE_Test=0.0417 -INFO:pyaf.std:MODEL_L1 L1_Fit=0.0771518950241 L1_Forecast=0.0829427855573 L1_Test=0.112596450551 -INFO:pyaf.std:MODEL_L2 L2_Fit=0.0969383926926 L2_Forecast=0.108111734091 L2_Test=0.136367113292 -INFO:pyaf.std:MODEL_COMPLEXITY 8 -INFO:pyaf.std:AR_MODEL_DETAIL_START -INFO:pyaf.std:AR_MODEL_DETAIL_END -INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5599088668823242 - +TREND 0.0976270078546495 0.43037873274483895 0.20552675214328775 Forecast Columns Index(['Date', 'Signal', '_Signal', 'row_number', 'Date_Normalized', '_Signal_ConstantTrend', '_Signal_ConstantTrend_residue', 'cycle_internal', '_Signal_ConstantTrend_residue_bestCycle_byL2', @@ -559,8 +559,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Signal_ConstantTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_22", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/func_test_ozone.log b/tests/references/func_test_ozone.log index 96402bf62..eed67f81f 100644 --- a/tests/references/func_test_ozone.log +++ b/tests/references/func_test_ozone.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.18073582649231 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.169769048690796 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094 @@ -33,17 +33,17 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.378723382949829 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.217435121536255 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9720091819763184 - Transformation ... TestMAPE -0 _Ozone ... 0.1740 -1 _Ozone ... 0.3430 -2 _Ozone ... 0.2567 -3 _Ozone ... 0.2567 -4 Diff_Ozone ... 0.2262 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9083428382873535 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1595 0.1740 +1 None _Ozone ... 0.1657 0.3430 +2 None _Ozone ... 0.1796 0.2567 +3 None _Ozone ... 0.1796 0.2567 +4 None Diff_Ozone ... 0.1800 0.2262 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -96,10 +96,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/func_test_ozone_bench_mode.log b/tests/references/func_test_ozone_bench_mode.log index b6dc61f3e..856e49692 100644 --- a/tests/references/func_test_ozone_bench_mode.log +++ b/tests/references/func_test_ozone_bench_mode.log @@ -1,5 +1,5 @@ INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.189746618270874 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.038207530975342 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 @@ -17,77 +17,77 @@ INFO:pyaf.std:MODEL_COMPLEXITY 52 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7327265739440918 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7107551097869873 Month Ozone Time 0 1955-01 2.7 1955-01-01 1 1955-02 2.0 1955-02-01 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 - Transformation ... TestMAPE -0 Anscombe_Ozone ... 0.2347 -1 Anscombe_Ozone ... 0.2347 -2 Anscombe_Ozone ... 0.1136 -3 Anscombe_Ozone ... 0.1750 -4 Anscombe_Ozone ... 0.1750 -5 _Ozone ... 0.1072 -6 _Ozone ... 0.1895 -7 _Ozone ... 0.1895 -8 _Ozone ... 0.1991 -9 _Ozone ... 0.1991 -10 _Ozone ... 0.2567 -11 _Ozone ... 0.2567 -12 Anscombe_Ozone ... 0.2098 -13 Anscombe_Ozone ... 0.2098 -14 _Ozone ... 0.2127 -15 _Ozone ... 0.2127 -16 Anscombe_Ozone ... 0.1495 -17 Anscombe_Ozone ... 0.1495 -18 Anscombe_Ozone ... 0.3083 -19 Anscombe_Ozone ... 0.3372 -20 Anscombe_Ozone ... 0.3372 -21 _Ozone ... 0.1169 -22 _Ozone ... 0.3085 -23 Anscombe_Ozone ... 0.2208 -24 _Ozone ... 0.3327 -25 _Ozone ... 0.3327 -26 _Ozone ... 0.2148 -27 Anscombe_Ozone ... 0.1356 -28 Anscombe_Ozone ... 0.1617 -29 Anscombe_Ozone ... 0.1617 -.. ... ... ... -42 Diff_Ozone ... 0.9862 -43 Anscombe_Ozone ... 0.3234 -44 _Ozone ... 0.3197 -45 Diff_Ozone ... 0.2664 -46 Anscombe_Ozone ... 0.6942 -47 Anscombe_Ozone ... 0.6942 -48 Diff_Ozone ... 0.4387 -49 _Ozone ... 0.7192 -50 _Ozone ... 0.7192 -51 Diff_Ozone ... 0.3761 -52 Diff_Ozone ... 0.3483 -53 Diff_Ozone ... 0.3483 -54 Anscombe_Ozone ... 0.6712 -55 _Ozone ... 0.7356 -56 Diff_Ozone ... 0.6821 -57 Diff_Ozone ... 0.7876 -58 Anscombe_Ozone ... 0.7918 -59 Diff_Ozone ... 0.4489 -60 Diff_Ozone ... 0.4489 -61 _Ozone ... 0.8365 -62 Diff_Ozone ... 3.0043 -63 Diff_Ozone ... 3.0043 -64 Diff_Ozone ... 1.1972 -65 Diff_Ozone ... 1.1972 -66 Diff_Ozone ... 1.0924 -67 Diff_Ozone ... 2.0824 -68 Diff_Ozone ... 4.3280 -69 Diff_Ozone ... 2.0344 -70 Diff_Ozone ... 2.0344 -71 Diff_Ozone ... 2.0866 + Split Transformation ... ForecastMAPE TestMAPE +0 None Anscombe_Ozone ... 0.1640 0.2347 +1 None Anscombe_Ozone ... 0.1640 0.2347 +2 None Anscombe_Ozone ... 0.1662 0.1136 +3 None Anscombe_Ozone ... 0.1716 0.1750 +4 None Anscombe_Ozone ... 0.1716 0.1750 +5 None _Ozone ... 0.1749 0.1072 +6 None _Ozone ... 0.1766 0.1895 +7 None _Ozone ... 0.1766 0.1895 +8 None _Ozone ... 0.1780 0.1991 +9 None _Ozone ... 0.1780 0.1991 +10 None _Ozone ... 0.1796 0.2567 +11 None _Ozone ... 0.1796 0.2567 +12 None Anscombe_Ozone ... 0.1835 0.2098 +13 None Anscombe_Ozone ... 0.1835 0.2098 +14 None _Ozone ... 0.1859 0.2127 +15 None _Ozone ... 0.1859 0.2127 +16 None Anscombe_Ozone ... 0.1889 0.1495 +17 None Anscombe_Ozone ... 0.1889 0.1495 +18 None Anscombe_Ozone ... 0.1897 0.3083 +19 None Anscombe_Ozone ... 0.1943 0.3372 +20 None Anscombe_Ozone ... 0.1943 0.3372 +21 None _Ozone ... 0.1953 0.1169 +22 None _Ozone ... 0.1975 0.3085 +23 None Anscombe_Ozone ... 0.1993 0.2208 +24 None _Ozone ... 0.1996 0.3327 +25 None _Ozone ... 0.1996 0.3327 +26 None _Ozone ... 0.2073 0.2148 +27 None Anscombe_Ozone ... 0.2125 0.1356 +28 None Anscombe_Ozone ... 0.2132 0.1617 +29 None Anscombe_Ozone ... 0.2132 0.1617 +.. ... ... ... ... ... +42 None Diff_Ozone ... 0.3068 0.9862 +43 None Anscombe_Ozone ... 0.3181 0.3234 +44 None _Ozone ... 0.3191 0.3197 +45 None Diff_Ozone ... 0.3302 0.2664 +46 None Anscombe_Ozone ... 0.3453 0.6942 +47 None Anscombe_Ozone ... 0.3453 0.6942 +48 None Diff_Ozone ... 0.3490 0.4387 +49 None _Ozone ... 0.3646 0.7192 +50 None _Ozone ... 0.3646 0.7192 +51 None Diff_Ozone ... 0.3709 0.3761 +52 None Diff_Ozone ... 0.3799 0.3483 +53 None Diff_Ozone ... 0.3799 0.3483 +54 None Anscombe_Ozone ... 0.3890 0.6712 +55 None _Ozone ... 0.4087 0.7356 +56 None Diff_Ozone ... 0.4328 0.6821 +57 None Diff_Ozone ... 0.4615 0.7876 +58 None Anscombe_Ozone ... 0.5070 0.7918 +59 None Diff_Ozone ... 0.5250 0.4489 +60 None Diff_Ozone ... 0.5250 0.4489 +61 None _Ozone ... 0.5344 0.8365 +62 None Diff_Ozone ... 0.5871 3.0043 +63 None Diff_Ozone ... 0.5871 3.0043 +64 None Diff_Ozone ... 0.6726 1.1972 +65 None Diff_Ozone ... 0.6726 1.1972 +66 None Diff_Ozone ... 0.6926 1.0924 +67 None Diff_Ozone ... 0.7285 2.0824 +68 None Diff_Ozone ... 0.8350 4.3280 +69 None Diff_Ozone ... 1.1235 2.0344 +70 None Diff_Ozone ... 1.1235 2.0344 +71 None Diff_Ozone ... 1.1643 2.0866 -[72 rows x 6 columns] +[72 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', 'Anscombe_Ozone', 'row_number', 'Time_Normalized', 'Anscombe_Ozone_LinearTrend', 'Anscombe_Ozone_LinearTrend_residue', 'Anscombe_Ozone_LinearTrend_residue_Seasonal_MonthOfYear', diff --git a/tests/references/func_test_ozone_with_logging.log b/tests/references/func_test_ozone_with_logging.log index 846e7916b..3caba95a0 100644 --- a/tests/references/func_test_ozone_with_logging.log +++ b/tests/references/func_test_ozone_with_logging.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.204813003540039 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.945387125015259 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094 @@ -33,17 +33,17 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.3500683307647705 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.057941913604736 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9754462242126465 - Transformation ... TestMAPE -0 _Ozone ... 0.1740 -1 _Ozone ... 0.3430 -2 _Ozone ... 0.2567 -3 _Ozone ... 0.2567 -4 Diff_Ozone ... 0.2262 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8893084526062012 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1595 0.1740 +1 None _Ozone ... 0.1657 0.3430 +2 None _Ozone ... 0.1796 0.2567 +3 None _Ozone ... 0.1796 0.2567 +4 None Diff_Ozone ... 0.1800 0.2262 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -96,10 +96,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/heroku_test_air_passengers_heroku.log b/tests/references/heroku_test_air_passengers_heroku.log index c70498a3e..d15967d21 100644 --- a/tests/references/heroku_test_air_passengers_heroku.log +++ b/tests/references/heroku_test_air_passengers_heroku.log @@ -1,22 +1,22 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 1.3531794548034668 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 1.0903863906860352 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.38888072967529297 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.36214375495910645 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.40074610710144043 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.3657717704772949 REQUEST_DETAILS [('CSVFile', 'https://vincentarelbundock.github.io/Rdatasets/csv/datasets/AirPassengers.csv'), ('DateFormat', None), ('Horizon', 7), ('Name', 'model_air_by_tests'), ('Present', ''), ('SignalVar', 'AirPassengers'), ('TimeVar', 'time')] None DATASET_DETECTED_COLUMNS Index(['Unnamed: 0', 'time', 'value'], dtype='object') DATASET_FINAL_COLUMNS Index(['Unnamed: 0', 'time', 'value', 'AirPassengers'], dtype='object') TRAIN_PARAMS (144, 4) Index(['Unnamed: 0', 'time', 'value', 'AirPassengers'], dtype='object') time AirPassengers 7 - Transformation ... TestMAPE -0 _AirPassengers ... 0.0592 -1 _AirPassengers ... 0.0561 -2 _AirPassengers ... 0.0508 -3 _AirPassengers ... 0.0699 -4 _AirPassengers ... 0.0737 + Split Transformation ... ForecastMAPE TestMAPE +0 None _AirPassengers ... 0.0463 0.0592 +1 None _AirPassengers ... 0.0483 0.0561 +2 None _AirPassengers ... 0.0493 0.0508 +3 None _AirPassengers ... 0.0543 0.0699 +4 None _AirPassengers ... 0.0616 0.0737 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_ConstantTrend', '_AirPassengers_ConstantTrend_residue', 'cycle_internal', @@ -67,10 +67,10 @@ Forecasts "Training_Signal_Length": 144 }, "Model": { - "AR_Model": "AR(7)", + "AR_Model": "AR", "Best_Decomposition": "_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_AR(7)", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/heroku_test_ozone_exog_heroku.log b/tests/references/heroku_test_ozone_exog_heroku.log index 4851cbbab..c7740a29e 100644 --- a/tests/references/heroku_test_ozone_exog_heroku.log +++ b/tests/references/heroku_test_ozone_exog_heroku.log @@ -1,9 +1,9 @@ INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.668226480484009 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.384084701538086 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1339902877807617 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.04862642288208 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1457438468933105 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0554242134094238 [('CSVFile', 'https://raw.githubusercontent.com/antoinecarme/TimeSeriesData/master/ozone-la.csv'), ('DateFormat', '%Y-%m'), ('ExogenousData', 'https://raw.githubusercontent.com/antoinecarme/pyaf/master/data/ozone-la-exogenous-3.csv'), ('Horizon', 12), ('Name', 'model_ozone_exog'), ('Present', ''), ('SignalVar', 'Ozone'), ('TimeVar', 'Month')] REQUEST_DETAILS [('CSVFile', 'https://raw.githubusercontent.com/antoinecarme/TimeSeriesData/master/ozone-la.csv'), ('DateFormat', '%Y-%m'), ('ExogenousData', 'https://raw.githubusercontent.com/antoinecarme/pyaf/master/data/ozone-la-exogenous-3.csv'), ('Horizon', 12), ('Name', 'model_ozone_exog'), ('Present', ''), ('SignalVar', 'Ozone'), ('TimeVar', 'Month')] https://raw.githubusercontent.com/antoinecarme/pyaf/master/data/ozone-la-exogenous-3.csv @@ -11,14 +11,14 @@ DATASET_DETECTED_COLUMNS Index(['Month', 'Ozone'], dtype='object') DATASET_FINAL_COLUMNS Index(['Month', 'Ozone'], dtype='object') https://raw.githubusercontent.com/antoinecarme/pyaf/master/data/ozone-la-exogenous-3.csv TRAIN_PARAMS (216, 2) Index(['Month', 'Ozone'], dtype='object') Month Ozone 12 - Transformation ... TestMAPE -0 _Ozone ... 0.0794 -1 _Ozone ... 0.1426 -2 _Ozone ... 0.1231 -3 _Ozone ... 0.0902 -4 _Ozone ... 0.1610 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.0797 0.0794 +1 None _Ozone ... 0.0854 0.1426 +2 None _Ozone ... 0.0955 0.1231 +3 None _Ozone ... 0.1051 0.0902 +4 None _Ozone ... 0.1215 0.1610 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Month', 'Ozone', '_Ozone', 'row_number', 'Month_Normalized', '_Ozone_ConstantTrend', '_Ozone_ConstantTrend_residue', '_Ozone_ConstantTrend_residue_zeroCycle', @@ -73,10 +73,10 @@ Forecasts "Training_Signal_Length": 216 }, "Model": { - "AR_Model": "ARX(7)", + "AR_Model": "ARX", "Best_Decomposition": "_Ozone_ConstantTrend_residue_zeroCycle_residue_ARX(7)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/heroku_test_ozone_heroku.log b/tests/references/heroku_test_ozone_heroku.log index 0282f720f..ce6b5270f 100644 --- a/tests/references/heroku_test_ozone_heroku.log +++ b/tests/references/heroku_test_ozone_heroku.log @@ -1,22 +1,22 @@ INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 1.9612987041473389 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 1.707892656326294 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7190678119659424 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7061214447021484 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7260150909423828 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7018585205078125 REQUEST_DETAILS [('CSVFile', 'https://raw.githubusercontent.com/antoinecarme/TimeSeriesData/master/ozone-la.csv'), ('DateFormat', '%Y-%m'), ('Horizon', 12), ('Name', 'model1'), ('Present', ''), ('SignalVar', 'Ozone'), ('TimeVar', 'Month')] None DATASET_DETECTED_COLUMNS Index(['Month', 'Ozone'], dtype='object') DATASET_FINAL_COLUMNS Index(['Month', 'Ozone'], dtype='object') TRAIN_PARAMS (216, 2) Index(['Month', 'Ozone'], dtype='object') Month Ozone 12 - Transformation ... TestMAPE -0 _Ozone ... 0.2785 -1 _Ozone ... 0.2785 -2 _Ozone ... 0.3139 -3 _Ozone ... 0.3139 -4 _Ozone ... 0.2984 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1842 0.2785 +1 None _Ozone ... 0.1842 0.2785 +2 None _Ozone ... 0.1907 0.3139 +3 None _Ozone ... 0.1907 0.3139 +4 None _Ozone ... 0.1976 0.2984 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Month', 'Ozone', '_Ozone', 'row_number', 'Month_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear', @@ -69,10 +69,10 @@ Forecasts "Training_Signal_Length": 216 }, "Model": { - "AR_Model": "AR(7)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(7)", "Cycle": "Seasonal_MonthOfYear", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/heroku_test_seasonal_week_of_year.log b/tests/references/heroku_test_seasonal_week_of_year.log index f4488d654..7dd3c5f3a 100644 --- a/tests/references/heroku_test_seasonal_week_of_year.log +++ b/tests/references/heroku_test_seasonal_week_of_year.log @@ -1,9 +1,9 @@ INFO:pyaf.std:START_TRAINING 'Close' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Close' 3.0158393383026123 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Close' 2.547804832458496 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.3236393928527832 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.3215105533599854 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.3347406387329102 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.3201513290405273 REQUEST_DETAILS [('CSVFile', 'https://raw.githubusercontent.com/antoinecarme/TimeSeriesData/a5fa96af431caabc817180d52bc1d01b8c61da41/YahooFinance/nasdaq/yahoo_GOOG.csv'), ('DateFormat', '%Y-%m-%d'), ('Horizon', 21), ('Name', 'PYAF_MODEL_DJOQFD_GOOG'), ('Present', '2016-01-01'), ('SignalVar', 'Close'), ('TimeVar', 'Date')] None DATASET_DETECTED_COLUMNS Index(['Unnamed: 0', 'Symbol', 'Date', 'Close', 'Low', 'Volume', 'Open', @@ -15,14 +15,14 @@ DATASET_FINAL_COLUMNS Index(['Unnamed: 0', 'Symbol', 'Date', 'Close', 'Low', 'Vo TRAIN_PARAMS (857, 9) Index(['Unnamed: 0', 'Symbol', 'Date', 'Close', 'Low', 'Volume', 'Open', 'Adj_Close', 'High'], dtype='object') Date Close 21 - Transformation ... TestMAPE -0 _Close ... 0.0102 -1 _Close ... 0.0104 -2 _Close ... 0.0104 -3 _Close ... 0.0101 -4 _Close ... 0.0105 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Close ... 0.0121 0.0102 +1 None _Close ... 0.0122 0.0104 +2 None _Close ... 0.0123 0.0104 +3 None _Close ... 0.0123 0.0101 +4 None _Close ... 0.0126 0.0105 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Date', 'Close', '_Close', 'row_number', 'Date_Normalized', '_Close_ConstantTrend', '_Close_ConstantTrend_residue', '_Close_ConstantTrend_residue_zeroCycle', @@ -84,10 +84,10 @@ Forecasts "Training_Signal_Length": 857 }, "Model": { - "AR_Model": "AR(7)", + "AR_Model": "AR", "Best_Decomposition": "_Close_ConstantTrend_residue_zeroCycle_residue_AR(7)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/model_control_test_ozone_all_models_enabled.log b/tests/references/model_control_test_ozone_all_models_enabled.log index 6e2881342..b65a795d0 100644 --- a/tests/references/model_control_test_ozone_all_models_enabled.log +++ b/tests/references/model_control_test_ozone_all_models_enabled.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 73.58355641365051 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 68.69707202911377 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Anscombe_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL 'Anscombe_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1642 MAPE_Forecast=0.1384 MAPE_Test=0.1408 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1559 SMAPE_Forecast=0.1512 SMAPE_Test=0.1438 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7168 MASE_Forecast=0.6055 MASE_Test=0.7524 @@ -33,73 +33,73 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Anscombe_Ozone_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.0738221650976 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.759526491165161 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.006704807281494 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1846404075622559 - Transformation ... TestMAPE -0 Anscombe_Ozone ... 1.408000e-01 -1 Anscombe_Ozone ... 1.320000e-01 -2 _Ozone ... 2.532000e-01 -3 _Ozone ... 3.320000e-01 -4 Box_Cox_0.0_Ozone ... 1.439000e-01 -5 Logit_Ozone ... 1.373000e-01 -6 Anscombe_Ozone ... 1.346000e-01 -7 _Ozone ... 3.267000e-01 -8 Logit_Ozone ... 1.279000e-01 -9 Box_Cox_-1.0_Ozone ... 1.739000e-01 -10 Box_Cox_-1.0_Ozone ... 1.739000e-01 -11 Box_Cox_-1.0_Ozone ... 1.801000e-01 -12 Box_Cox_-1.0_Ozone ... 1.801000e-01 -13 _Ozone ... 3.250000e-01 -14 Anscombe_Ozone ... 1.312000e-01 -15 Logit_Ozone ... 1.415000e-01 -16 Anscombe_Ozone ... 1.226000e-01 -17 Box_Cox_0.0_Ozone ... 1.245000e-01 -18 _Ozone ... 2.738000e-01 -19 Logit_Ozone ... 1.174000e-01 -20 Anscombe_Ozone ... 1.380000e-01 -21 Box_Cox_0.0_Ozone ... 2.267000e-01 -22 Box_Cox_-2.0_Ozone ... 1.799000e-01 -23 Box_Cox_-2.0_Ozone ... 1.799000e-01 -24 Anscombe_Ozone ... 1.321000e-01 -25 Box_Cox_-2.0_Ozone ... 1.854000e-01 -26 Box_Cox_-2.0_Ozone ... 1.854000e-01 -27 Anscombe_Ozone ... 1.267000e-01 -28 Box_Cox_0.0_Ozone ... 1.287000e-01 -29 Anscombe_Ozone ... 1.287000e-01 -... ... ... ... -1230 Box_Cox_-2.0_Ozone ... 3.443000e-01 -1231 Box_Cox_-1.0_Ozone ... 4.253000e-01 -1232 Box_Cox_-2.0_Ozone ... 3.470000e-01 -1233 Box_Cox_-2.0_Ozone ... 3.470000e-01 -1234 Box_Cox_-1.0_Ozone ... 1.516141e+08 -1235 Box_Cox_-2.0_Ozone ... 1.184085e+09 -1236 Box_Cox_-2.0_Ozone ... 1.184085e+09 -1237 Box_Cox_-2.0_Ozone ... 9.458344e+08 -1238 Box_Cox_-2.0_Ozone ... 9.458344e+08 -1239 Box_Cox_-2.0_Ozone ... 1.184085e+09 -1240 Box_Cox_-2.0_Ozone ... 1.184085e+09 -1241 Box_Cox_-1.0_Ozone ... 1.895177e+08 -1242 Box_Cox_-2.0_Ozone ... 7.733487e+08 -1243 Box_Cox_-2.0_Ozone ... 7.733487e+08 -1244 Box_Cox_-2.0_Ozone ... 6.000754e+08 -1245 Box_Cox_-2.0_Ozone ... 6.000754e+08 -1246 Box_Cox_-2.0_Ozone ... 2.386519e+08 -1247 Box_Cox_-2.0_Ozone ... 2.386519e+08 -1248 Box_Cox_-2.0_Ozone ... 9.111797e+08 -1249 Box_Cox_-2.0_Ozone ... 9.111797e+08 -1250 Box_Cox_-2.0_Ozone ... 1.516141e+08 -1251 Box_Cox_-2.0_Ozone ... 4.413656e+08 -1252 Box_Cox_-2.0_Ozone ... 2.079279e+08 -1253 Box_Cox_-2.0_Ozone ... 9.709065e+08 -1254 Box_Cox_-2.0_Ozone ... 6.515000e-01 -1255 Box_Cox_-2.0_Ozone ... 9.709065e+08 -1256 Box_Cox_-2.0_Ozone ... 5.677107e+08 -1257 Box_Cox_-2.0_Ozone ... 2.639209e+08 -1258 Box_Cox_-2.0_Ozone ... 5.677107e+08 -1259 Box_Cox_-2.0_Ozone ... 4.579053e+08 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8631582260131836 + Split Transformation ... ForecastMAPE TestMAPE +0 None Anscombe_Ozone ... 1.384000e-01 1.408000e-01 +1 None Anscombe_Ozone ... 1.386000e-01 1.320000e-01 +2 None _Ozone ... 1.437000e-01 2.532000e-01 +3 None _Ozone ... 1.466000e-01 3.320000e-01 +4 None Box_Cox_0.0_Ozone ... 1.481000e-01 1.439000e-01 +5 None Logit_Ozone ... 1.484000e-01 1.373000e-01 +6 None Anscombe_Ozone ... 1.486000e-01 1.346000e-01 +7 None _Ozone ... 1.493000e-01 3.267000e-01 +8 None Logit_Ozone ... 1.500000e-01 1.279000e-01 +9 None Box_Cox_-1.0_Ozone ... 1.511000e-01 1.739000e-01 +10 None Box_Cox_-1.0_Ozone ... 1.511000e-01 1.739000e-01 +11 None Box_Cox_-1.0_Ozone ... 1.512000e-01 1.801000e-01 +12 None Box_Cox_-1.0_Ozone ... 1.512000e-01 1.801000e-01 +13 None _Ozone ... 1.519000e-01 3.250000e-01 +14 None Anscombe_Ozone ... 1.519000e-01 1.312000e-01 +15 None Logit_Ozone ... 1.524000e-01 1.415000e-01 +16 None Anscombe_Ozone ... 1.529000e-01 1.226000e-01 +17 None Box_Cox_0.0_Ozone ... 1.529000e-01 1.245000e-01 +18 None _Ozone ... 1.537000e-01 2.738000e-01 +19 None Logit_Ozone ... 1.543000e-01 1.174000e-01 +20 None Anscombe_Ozone ... 1.544000e-01 1.380000e-01 +21 None Box_Cox_0.0_Ozone ... 1.552000e-01 2.267000e-01 +22 None Box_Cox_-2.0_Ozone ... 1.553000e-01 1.799000e-01 +23 None Box_Cox_-2.0_Ozone ... 1.553000e-01 1.799000e-01 +24 None Anscombe_Ozone ... 1.559000e-01 1.321000e-01 +25 None Box_Cox_-2.0_Ozone ... 1.566000e-01 1.854000e-01 +26 None Box_Cox_-2.0_Ozone ... 1.566000e-01 1.854000e-01 +27 None Anscombe_Ozone ... 1.567000e-01 1.267000e-01 +28 None Box_Cox_0.0_Ozone ... 1.569000e-01 1.287000e-01 +29 None Anscombe_Ozone ... 1.583000e-01 1.287000e-01 +... ... ... ... ... ... +1230 None Box_Cox_-2.0_Ozone ... 2.587387e+08 3.443000e-01 +1231 None Box_Cox_-1.0_Ozone ... 2.686185e+08 4.253000e-01 +1232 None Box_Cox_-2.0_Ozone ... 2.818780e+08 3.470000e-01 +1233 None Box_Cox_-2.0_Ozone ... 2.818780e+08 3.470000e-01 +1234 None Box_Cox_-1.0_Ozone ... 2.834918e+08 1.516141e+08 +1235 None Box_Cox_-2.0_Ozone ... 3.595385e+08 1.184085e+09 +1236 None Box_Cox_-2.0_Ozone ... 3.595385e+08 1.184085e+09 +1237 None Box_Cox_-2.0_Ozone ... 3.985603e+08 9.458344e+08 +1238 None Box_Cox_-2.0_Ozone ... 3.985603e+08 9.458344e+08 +1239 None Box_Cox_-2.0_Ozone ... 4.113724e+08 1.184085e+09 +1240 None Box_Cox_-2.0_Ozone ... 4.113724e+08 1.184085e+09 +1241 None Box_Cox_-1.0_Ozone ... 4.119617e+08 1.895177e+08 +1242 None Box_Cox_-2.0_Ozone ... 4.330188e+08 7.733487e+08 +1243 None Box_Cox_-2.0_Ozone ... 4.330188e+08 7.733487e+08 +1244 None Box_Cox_-2.0_Ozone ... 4.583686e+08 6.000754e+08 +1245 None Box_Cox_-2.0_Ozone ... 4.583686e+08 6.000754e+08 +1246 None Box_Cox_-2.0_Ozone ... 4.769515e+08 2.386519e+08 +1247 None Box_Cox_-2.0_Ozone ... 4.769515e+08 2.386519e+08 +1248 None Box_Cox_-2.0_Ozone ... 4.776774e+08 9.111797e+08 +1249 None Box_Cox_-2.0_Ozone ... 4.776774e+08 9.111797e+08 +1250 None Box_Cox_-2.0_Ozone ... 5.026363e+08 1.516141e+08 +1251 None Box_Cox_-2.0_Ozone ... 5.110827e+08 4.413656e+08 +1252 None Box_Cox_-2.0_Ozone ... 5.441772e+08 2.079279e+08 +1253 None Box_Cox_-2.0_Ozone ... 5.453800e+08 9.709065e+08 +1254 None Box_Cox_-2.0_Ozone ... 5.511130e+08 6.515000e-01 +1255 None Box_Cox_-2.0_Ozone ... 5.835485e+08 9.709065e+08 +1256 None Box_Cox_-2.0_Ozone ... 6.218822e+08 5.677107e+08 +1257 None Box_Cox_-2.0_Ozone ... 6.244793e+08 2.639209e+08 +1258 None Box_Cox_-2.0_Ozone ... 6.341109e+08 5.677107e+08 +1259 None Box_Cox_-2.0_Ozone ... 6.800249e+08 4.579053e+08 -[1260 rows x 6 columns] +[1260 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', 'Anscombe_Ozone', 'row_number', 'Time_Normalized', 'Anscombe_Ozone_LinearTrend', 'Anscombe_Ozone_LinearTrend_residue', 'Anscombe_Ozone_LinearTrend_residue_zeroCycle', @@ -153,7 +153,7 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", "Signal_Transoformation": "Anscombe", diff --git a/tests/references/model_control_test_ozone_no_models_enabled.log b/tests/references/model_control_test_ozone_no_models_enabled.log index cf520a63a..c9363110e 100644 --- a/tests/references/model_control_test_ozone_no_models_enabled.log +++ b/tests/references/model_control_test_ozone_no_models_enabled.log @@ -7,7 +7,7 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 4 1955-05 6.5 1955-05-01 /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 0.9816775321960449 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 0.871241569519043 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 @@ -25,13 +25,13 @@ INFO:pyaf.std:MODEL_COMPLEXITY 0 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.71914005279541 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.423257827758789 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6732637882232666 - Transformation ... TestMAPE -0 _Ozone ... 0.8365 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6025309562683105 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.5344 0.8365 -[1 rows x 6 columns] +[1 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_ConstantTrend', '_Ozone_ConstantTrend_residue', '_Ozone_ConstantTrend_residue_zeroCycle', @@ -87,7 +87,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/perfs_test_ozone_perf_measure_L1.log b/tests/references/perfs_test_ozone_perf_measure_L1.log index d9a0f0bc0..5a33a9069 100644 --- a/tests/references/perfs_test_ozone_perf_measure_L1.log +++ b/tests/references/perfs_test_ozone_perf_measure_L1.log @@ -5,111 +5,111 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 42 0.57934855727 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 4 0.959861932939 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 46 0.57934855727 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.959861932939 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 38 0.608626901232 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 1.2105245517 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.648702462073 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.667126890204 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 78 0.648702462073 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.667126890204 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 70 0.612970967679 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.8 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.660794648413 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.544145730174 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.660794648413 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.544145730174 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 54 0.526531675801 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.897960435106 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.601697788717 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.615056199271 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.601697788717 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.615056199271 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 54 0.523461653349 -INFO:pyaf.std:collectPerformanceIndices : L1 _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.953182045435 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.879286835555 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 1.11426692965 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.879286835555 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.11426692965 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 1.03852595986 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.05322607676 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 1.39699092534 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 1.94398422091 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.67994347418 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.3637029637 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.562875670889 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.8 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.69094018114 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 1.89484721565 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.69094018114 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.89484721565 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 1.07737908075 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.917060724231 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.1123305915 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.854895550686 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.1123305915 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.854895550686 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.15105337055 -INFO:pyaf.std:collectPerformanceIndices : L1 Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.66661732938 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 18729.9288745 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 116428112.924 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 18729.9288745 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 116428112.924 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 46553.8711375 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 149999998.018 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 236344.438778 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 6.09757896949 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 236344.438778 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 6.09757896949 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 4307.44787276 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.8 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 59684.6787478 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 130651524.4 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 59684.6787478 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 130651524.4 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 381244.459692 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 149999998.018 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 4411813.53173 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 133428670.921 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 4411813.53173 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 133428670.921 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 63498159.0889 -INFO:pyaf.std:collectPerformanceIndices : L1 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 149999998.018 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 1.02727915766 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 4.95833333333 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 1.02727915766 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 4.95833333333 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.978055428494 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 3.18205128205 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.936658270783 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.67506574622 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.936658270783 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.67506574622 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.906431010704 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.8 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.913394034712 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 1.21061650927 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.19442531325 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.10695170935 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 1.17417158216 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.986498355256 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.918445980469 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 2.43407112671 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.03355537905 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 2.23955374567 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.18946033343 -INFO:pyaf.std:collectPerformanceIndices : L1 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.75561429877 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.818187713623047 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 42 0.57934855727 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 0.959861932939 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_ConstantTrend_Cycle_AR 46 0.57934855727 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.959861932939 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_ConstantTrend_NoCycle_AR 38 0.608626901232 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 1.2105245517 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 74 0.648702462073 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.667126890204 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_Lag1Trend_Cycle_AR 78 0.648702462073 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.667126890204 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_Lag1Trend_NoCycle_AR 70 0.612970967679 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.8 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 58 0.660794648413 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.544145730174 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_LinearTrend_Cycle_AR 62 0.660794648413 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.544145730174 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_LinearTrend_NoCycle_AR 54 0.526531675801 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.897960435106 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 58 0.601697788717 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.615056199271 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_PolyTrend_Cycle_AR 62 0.601697788717 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.615056199271 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_PolyTrend_NoCycle_AR 54 0.523461653349 +INFO:pyaf.std:collectPerformanceIndices : L1 None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.953182045435 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.879286835555 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 1.11426692965 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_ConstantTrend_Cycle_AR 78 0.879286835555 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 1.11426692965 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_ConstantTrend_NoCycle_AR 70 1.03852595986 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 1.05322607676 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 106 1.39699092534 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 1.94398422091 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_Lag1Trend_Cycle_AR 110 0.67994347418 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 1.3637029637 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_Lag1Trend_NoCycle_AR 102 0.562875670889 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.8 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 90 1.69094018114 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 1.89484721565 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_LinearTrend_Cycle_AR 94 1.69094018114 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 1.89484721565 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_LinearTrend_NoCycle_AR 86 1.07737908075 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.917060724231 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 90 1.1123305915 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.854895550686 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_PolyTrend_Cycle_AR 94 1.1123305915 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.854895550686 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_PolyTrend_NoCycle_AR 86 1.15105337055 +INFO:pyaf.std:collectPerformanceIndices : L1 None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 1.66661732938 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 74 18729.9288745 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 116428112.924 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 78 18729.9288745 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 116428112.924 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 70 46553.8711375 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 149999998.018 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 106 236344.438778 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 6.09757896949 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 110 236344.438778 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 6.09757896949 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 102 4307.44787276 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.8 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 90 59684.6787478 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 130651524.4 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 94 59684.6787478 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 130651524.4 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 86 381244.459692 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 149999998.018 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 90 4411813.53173 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 133428670.921 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 94 4411813.53173 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 133428670.921 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 86 63498159.0889 +INFO:pyaf.std:collectPerformanceIndices : L1 None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 149999998.018 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 74 1.02727915766 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 4.95833333333 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_ConstantTrend_Cycle_AR 78 1.02727915766 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 4.95833333333 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 70 0.978055428494 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 3.18205128205 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.936658270783 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.67506574622 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_Lag1Trend_Cycle_AR 110 0.936658270783 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.67506574622 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 102 0.906431010704 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.8 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 90 0.913394034712 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 1.21061650927 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_LinearTrend_Cycle_AR 94 1.19442531325 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 1.10695170935 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_LinearTrend_NoCycle_AR 86 1.17417158216 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.986498355256 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 90 0.918445980469 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 2.43407112671 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_PolyTrend_Cycle_AR 94 1.03355537905 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 2.23955374567 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_PolyTrend_NoCycle_AR 86 1.18946033343 +INFO:pyaf.std:collectPerformanceIndices : L1 None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 1.75561429877 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.931081533432007 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_PolyTrend' [PolyTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_PolyTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.164 MAPE_Forecast=0.1657 MAPE_Test=0.343 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1541 SMAPE_Forecast=0.1624 SMAPE_Test=0.2829 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6966 MASE_Forecast=0.6743 MASE_Test=1.6728 @@ -129,17 +129,22 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag22 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag39 -0.114375230853 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.400254011154175 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.981816053390503 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.985816240310669 - Transformation ... TestMASE -0 _Ozone ... None -1 _Ozone ... None -2 _Ozone ... None -3 _Ozone ... None -4 Diff_Ozone ... None +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8661434650421143 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... None None +1 None _Ozone ... None None -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... None None +1 None _Ozone ... None None +2 None _Ozone ... None None +3 None _Ozone ... None None +4 None Diff_Ozone ... None None + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', 'Time_Normalized_^2', 'Time_Normalized_^3', '_Ozone_PolyTrend', '_Ozone_PolyTrend_residue', '_Ozone_PolyTrend_residue_zeroCycle', @@ -192,10 +197,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "PolyTrend" }, "Model_Performance": { diff --git a/tests/references/perfs_test_ozone_perf_measure_L2.log b/tests/references/perfs_test_ozone_perf_measure_L2.log index ddf957cfd..a2aec08ac 100644 --- a/tests/references/perfs_test_ozone_perf_measure_L2.log +++ b/tests/references/perfs_test_ozone_perf_measure_L2.log @@ -5,103 +5,103 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 42 0.738274613096 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 4 1.11001336558 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 46 0.738274613096 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 1.11001336558 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 38 0.761724925991 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 1.42665494372 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.829156254832 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.871032172076 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 78 0.829156254832 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.871032172076 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 70 0.843003129362 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.965826336781 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.78154327522 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.641888231179 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.78154327522 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.641888231179 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 54 0.731568864951 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 1.10108079646 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.758796502353 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.795696924441 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.758796502353 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.795696924441 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 54 0.696188984705 -INFO:pyaf.std:collectPerformanceIndices : L2 _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 1.17597757935 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 1.00946773151 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 1.25851503918 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 1.00946773151 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.25851503918 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 1.17345572092 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.272796707 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 1.60443944013 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 2.13355944251 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.888547144313 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.60047968373 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.82617537318 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.965826336781 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.83534132482 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 2.00061232634 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.83534132482 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 2.00061232634 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 1.20758971213 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.11800539291 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.49022152967 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 1.0170178268 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.49022152967 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0170178268 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.44591321849 -INFO:pyaf.std:collectPerformanceIndices : L2 Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.99097530464 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 30166.1770838 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 125586804.148 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 30166.1770838 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 125586804.148 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 63368.4140818 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 149999998.018 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 594387.823133 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 8.02230808402 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 594387.823133 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 8.02230808402 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 11358.3344134 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.965826336781 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 78810.6215101 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 137427088.172 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 78810.6215101 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 137427088.172 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 629556.888582 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 149999998.018 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 8249391.68108 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 139311432.379 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 8249391.68108 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 139311432.379 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 92961811.7445 -INFO:pyaf.std:collectPerformanceIndices : L2 RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 149999998.018 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 1.36296672143 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 10.002327621 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 1.36296672143 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 10.002327621 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 1.20576778059 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 3.36173795101 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 1.17660700093 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.877057148351 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 1.17660700093 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.877057148351 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 1.1632988447 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.965826336781 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.27330416785 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 1.55112102929 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.41837313644 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.32250354711 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 1.3881316307 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.20027166801 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.20412781693 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 2.68903822108 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.26232595941 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 2.49502780901 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.39158677029 -INFO:pyaf.std:collectPerformanceIndices : L2 CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 2.00814057752 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.6085286140441895 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 42 0.738274613096 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 1.11001336558 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_ConstantTrend_Cycle_AR 46 0.738274613096 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 1.11001336558 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_ConstantTrend_NoCycle_AR 38 0.761724925991 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 1.42665494372 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 74 0.829156254832 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.871032172076 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_Lag1Trend_Cycle_AR 78 0.829156254832 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.871032172076 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_Lag1Trend_NoCycle_AR 70 0.843003129362 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.965826336781 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 58 0.78154327522 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.641888231179 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_LinearTrend_Cycle_AR 62 0.78154327522 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.641888231179 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_LinearTrend_NoCycle_AR 54 0.731568864951 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 1.10108079646 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 58 0.758796502353 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.795696924441 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_PolyTrend_Cycle_AR 62 0.758796502353 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.795696924441 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_PolyTrend_NoCycle_AR 54 0.696188984705 +INFO:pyaf.std:collectPerformanceIndices : L2 None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 1.17597757935 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 74 1.00946773151 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 1.25851503918 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_ConstantTrend_Cycle_AR 78 1.00946773151 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 1.25851503918 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_ConstantTrend_NoCycle_AR 70 1.17345572092 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 1.272796707 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 106 1.60443944013 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 2.13355944251 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_Lag1Trend_Cycle_AR 110 0.888547144313 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 1.60047968373 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_Lag1Trend_NoCycle_AR 102 0.82617537318 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.965826336781 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 90 1.83534132482 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 2.00061232634 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_LinearTrend_Cycle_AR 94 1.83534132482 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 2.00061232634 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_LinearTrend_NoCycle_AR 86 1.20758971213 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 1.11800539291 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 90 1.49022152967 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 1.0170178268 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_PolyTrend_Cycle_AR 94 1.49022152967 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 1.0170178268 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_PolyTrend_NoCycle_AR 86 1.44591321849 +INFO:pyaf.std:collectPerformanceIndices : L2 None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 1.99097530464 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 74 30166.1770838 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 125586804.148 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 78 30166.1770838 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 125586804.148 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 70 63368.4140818 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 149999998.018 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 106 594387.823133 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 8.02230808402 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 110 594387.823133 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 8.02230808402 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 102 11358.3344134 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.965826336781 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 90 78810.6215101 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 137427088.172 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 94 78810.6215101 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 137427088.172 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 86 629556.888582 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 149999998.018 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 90 8249391.68108 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 139311432.379 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 94 8249391.68108 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 139311432.379 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 86 92961811.7445 +INFO:pyaf.std:collectPerformanceIndices : L2 None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 149999998.018 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 74 1.36296672143 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 10.002327621 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_ConstantTrend_Cycle_AR 78 1.36296672143 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 10.002327621 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 70 1.20576778059 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 3.36173795101 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 106 1.17660700093 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.877057148351 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_Lag1Trend_Cycle_AR 110 1.17660700093 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.877057148351 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 102 1.1632988447 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.965826336781 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 90 1.27330416785 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 1.55112102929 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_LinearTrend_Cycle_AR 94 1.41837313644 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 1.32250354711 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_LinearTrend_NoCycle_AR 86 1.3881316307 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 1.20027166801 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 90 1.20412781693 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 2.68903822108 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_PolyTrend_Cycle_AR 94 1.26232595941 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 2.49502780901 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_PolyTrend_NoCycle_AR 86 1.39158677029 +INFO:pyaf.std:collectPerformanceIndices : L2 None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 2.00814057752 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.131603956222534 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 @@ -119,17 +119,22 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.927592515945435 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.943527698516846 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7506616115570068 - Transformation ... TestMASE -0 _Ozone ... None -1 _Ozone ... None -2 _Ozone ... None -3 _Ozone ... None -4 _Ozone ... None +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.825829029083252 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... None None +1 None _Ozone ... None None -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... None None +1 None _Ozone ... None None +2 None _Ozone ... None None +3 None _Ozone ... None None +4 None _Ozone ... None None + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear', @@ -185,7 +190,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR", "Cycle": "Seasonal_MonthOfYear", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -212,3 +217,5 @@ Forecasts r = r_num / r_den /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den diff --git a/tests/references/perfs_test_ozone_perf_measure_MAPE.log b/tests/references/perfs_test_ozone_perf_measure_MAPE.log index 804ef9be9..8a983b6e4 100644 --- a/tests/references/perfs_test_ozone_perf_measure_MAPE.log +++ b/tests/references/perfs_test_ozone_perf_measure_MAPE.log @@ -5,111 +5,111 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 42 0.1988 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 4 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 46 0.1988 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 38 0.1949 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.5344 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.2164 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 78 0.2164 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 70 0.1959 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.2137 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.2137 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 54 0.1595 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.3191 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.1992 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.2313 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.1992 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.2313 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 54 0.1657 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.4087 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.316 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.316 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.362 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.4615 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.5176 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.6926 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.2245 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.4328 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.18 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.5882 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.6726 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.5882 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.6726 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.3766 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3302 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.4489 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.3068 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.4489 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.3068 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4357 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7285 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 5433.1627 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 5433.1627 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 13195.3873 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 84073.9442 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 84073.9442 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 1338.131 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 19806.389 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 46569172.3098 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 19806.389 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 46569172.3098 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 113192.3779 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1858329.0734 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 47541752.6548 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1858329.0734 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 47541752.6548 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 24525015.6551 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.3697 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.3697 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.338 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.3178 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.3178 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.305 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.3238 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.5055 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.4118 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4455 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.4065 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.4272 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.3193 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.9277 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.3625 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9177 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4148 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7655 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.38551139831543 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 42 0.1988 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_AR 46 0.1988 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_AR 38 0.1949 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.5344 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 74 0.2164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_AR 78 0.2164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_AR 70 0.1959 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 58 0.2137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_AR 62 0.2137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_AR 54 0.1595 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3191 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 58 0.1992 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.2313 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_AR 62 0.1992 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.2313 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_AR 54 0.1657 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.4087 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_AR 78 0.316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_AR 70 0.362 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.4615 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.5176 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.6926 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_AR 110 0.2245 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.4328 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_AR 102 0.18 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 90 0.5882 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.6726 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_AR 94 0.5882 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.6726 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_AR 86 0.3766 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.3302 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 90 0.4489 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.3068 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_AR 94 0.4489 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.3068 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_AR 86 0.4357 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 0.7285 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 74 5433.1627 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 78 5433.1627 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 70 13195.3873 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 106 84073.9442 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 110 84073.9442 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 102 1338.131 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 90 19806.389 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 46569172.3098 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 94 19806.389 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 46569172.3098 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 86 113192.3779 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 90 1858329.0734 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 47541752.6548 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 94 1858329.0734 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 47541752.6548 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 86 24525015.6551 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.3697 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_AR 78 0.3697 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 70 0.338 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.3178 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_AR 110 0.3178 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 102 0.305 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 90 0.3238 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.5055 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_AR 94 0.4118 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.4455 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_AR 86 0.4065 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.4272 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 90 0.3193 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.9277 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_AR 94 0.3625 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 0.9177 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_AR 86 0.4148 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 0.7655 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.09570837020874 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094 @@ -129,17 +129,22 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.38576602935791 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.232015371322632 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9858410358428955 - Transformation ... TestMASE -0 _Ozone ... 0.9094 -1 _Ozone ... 1.6728 -2 _Ozone ... 1.2245 -3 _Ozone ... 1.2245 -4 Diff_Ozone ... 1.0525 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8609511852264404 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.174 0.9094 +1 None _Ozone ... 0.343 1.6728 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.1740 0.9094 +1 None _Ozone ... 0.3430 1.6728 +2 None _Ozone ... 0.2567 1.2245 +3 None _Ozone ... 0.2567 1.2245 +4 None Diff_Ozone ... 0.2262 1.0525 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -192,10 +197,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/perfs_test_ozone_perf_measure_MASE.log b/tests/references/perfs_test_ozone_perf_measure_MASE.log index 4c8c507a3..cf00168c7 100644 --- a/tests/references/perfs_test_ozone_perf_measure_MASE.log +++ b/tests/references/perfs_test_ozone_perf_measure_MASE.log @@ -5,111 +5,111 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 42 0.7463 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 4 1.2364 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 46 0.7463 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 1.2364 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 38 0.784 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 1.5593 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.8356 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.8593 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 78 0.8356 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.8593 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 70 0.7896 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 1.0305 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.8512 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.7009 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.8512 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.7009 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 54 0.6782 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 1.1567 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.7751 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.7923 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.7751 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.7923 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 54 0.6743 -INFO:pyaf.std:collectPerformanceIndices : MASE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 1.2278 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 1.1326 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 1.4353 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 1.1326 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.4353 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 1.3378 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.3567 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 1.7995 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 2.5041 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.8759 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.7566 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.7251 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 1.0305 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 2.1782 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 2.4408 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 2.1782 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 2.4408 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 1.3878 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.1813 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.4328 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 1.1012 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.4328 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.1012 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.4827 -INFO:pyaf.std:collectPerformanceIndices : MASE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 2.1468 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 24126.688 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 149975196.289 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 24126.688 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 149975196.289 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 59967.6984 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 193220336.405 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 304443.6838 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 7.8545 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 304443.6838 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 7.8545 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 5548.5769 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 1.0305 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 76881.9591 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 168296878.866 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 76881.9591 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 168296878.866 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 491094.5582 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 193220336.405 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 5683014.0401 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 171874220.148 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 5683014.0401 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 171874220.148 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 81794238.8158 -INFO:pyaf.std:collectPerformanceIndices : MASE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 193220336.405 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 1.3233 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 6.387 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 1.3233 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 6.387 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 1.2599 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 4.0989 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 1.2065 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.8696 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 1.2065 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.8696 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 1.1676 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 1.0305 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.1766 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 1.5594 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.5386 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.4259 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 1.5125 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.2707 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1.1831 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 3.1354 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1.3314 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 2.8848 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 1.5322 -INFO:pyaf.std:collectPerformanceIndices : MASE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 2.2615 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 8.072066068649292 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 42 0.7463 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 1.2364 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_ConstantTrend_Cycle_AR 46 0.7463 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 1.2364 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_ConstantTrend_NoCycle_AR 38 0.784 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 1.5593 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 74 0.8356 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.8593 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_Lag1Trend_Cycle_AR 78 0.8356 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.8593 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_Lag1Trend_NoCycle_AR 70 0.7896 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 1.0305 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 58 0.8512 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.7009 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_LinearTrend_Cycle_AR 62 0.8512 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.7009 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_LinearTrend_NoCycle_AR 54 0.6782 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 1.1567 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 58 0.7751 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.7923 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_PolyTrend_Cycle_AR 62 0.7751 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.7923 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_PolyTrend_NoCycle_AR 54 0.6743 +INFO:pyaf.std:collectPerformanceIndices : MASE None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 1.2278 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 74 1.1326 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 1.4353 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_ConstantTrend_Cycle_AR 78 1.1326 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 1.4353 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_ConstantTrend_NoCycle_AR 70 1.3378 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 1.3567 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 106 1.7995 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 2.5041 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_Lag1Trend_Cycle_AR 110 0.8759 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 1.7566 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_Lag1Trend_NoCycle_AR 102 0.7251 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 1.0305 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 90 2.1782 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 2.4408 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_LinearTrend_Cycle_AR 94 2.1782 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 2.4408 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_LinearTrend_NoCycle_AR 86 1.3878 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 1.1813 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 90 1.4328 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 1.1012 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_PolyTrend_Cycle_AR 94 1.4328 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 1.1012 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_PolyTrend_NoCycle_AR 86 1.4827 +INFO:pyaf.std:collectPerformanceIndices : MASE None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 2.1468 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 74 24126.688 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 149975196.289 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 78 24126.688 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 149975196.289 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 70 59967.6984 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 193220336.405 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 106 304443.6838 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 7.8545 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 110 304443.6838 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 7.8545 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 102 5548.5769 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 1.0305 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 90 76881.9591 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 168296878.866 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 94 76881.9591 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 168296878.866 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 86 491094.5582 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 193220336.405 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 90 5683014.0401 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 171874220.148 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 94 5683014.0401 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 171874220.148 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 86 81794238.8158 +INFO:pyaf.std:collectPerformanceIndices : MASE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 193220336.405 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 74 1.3233 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 6.387 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_ConstantTrend_Cycle_AR 78 1.3233 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 6.387 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 70 1.2599 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 4.0989 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 106 1.2065 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.8696 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_Lag1Trend_Cycle_AR 110 1.2065 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.8696 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 102 1.1676 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 1.0305 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 90 1.1766 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 1.5594 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_LinearTrend_Cycle_AR 94 1.5386 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 1.4259 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_LinearTrend_NoCycle_AR 86 1.5125 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 1.2707 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 90 1.1831 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 3.1354 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_PolyTrend_Cycle_AR 94 1.3314 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 2.8848 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_PolyTrend_NoCycle_AR 86 1.5322 +INFO:pyaf.std:collectPerformanceIndices : MASE None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 2.2615 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.5875725746154785 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_PolyTrend' [PolyTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_PolyTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.164 MAPE_Forecast=0.1657 MAPE_Test=0.343 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1541 SMAPE_Forecast=0.1624 SMAPE_Test=0.2829 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6966 MASE_Forecast=0.6743 MASE_Test=1.6728 @@ -129,17 +129,22 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag22 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_PolyTrend_residue_zeroCycle_residue_Lag39 -0.114375230853 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.896894693374634 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.163534641265869 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.086331844329834 - Transformation ... TestMASE -0 _Ozone ... 1.6728 -1 _Ozone ... 0.9094 -2 _Ozone ... 1.2245 -3 _Ozone ... 1.2245 -4 Diff_Ozone ... 1.0525 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9759547710418701 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.343 1.6728 +1 None _Ozone ... 0.174 0.9094 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.3430 1.6728 +1 None _Ozone ... 0.1740 0.9094 +2 None _Ozone ... 0.2567 1.2245 +3 None _Ozone ... 0.2567 1.2245 +4 None Diff_Ozone ... 0.2262 1.0525 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', 'Time_Normalized_^2', 'Time_Normalized_^3', '_Ozone_PolyTrend', '_Ozone_PolyTrend_residue', '_Ozone_PolyTrend_residue_zeroCycle', @@ -192,10 +197,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "PolyTrend" }, "Model_Performance": { diff --git a/tests/references/real-life_test_sof_example.log b/tests/references/real-life_test_sof_example.log index 3dacd8fcb..7b03b1d5c 100644 --- a/tests/references/real-life_test_sof_example.log +++ b/tests/references/real-life_test_sof_example.log @@ -5,79 +5,79 @@ INFO:pyaf.std:START_TRAINING 'Used' 2 2011-11-03 600 3 2011-11-04 599 4 2011-11-05 678 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_ConstantTrend_residue_bestCycle_byL2_residue_AR(15) 18 0.032 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.0434 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_ConstantTrend_residue_zeroCycle_residue_AR(15) 10 0.0219 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.0408 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_Lag1Trend_residue_bestCycle_byL2_residue_AR(15) 50 0.0362 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.047 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_Lag1Trend_residue_zeroCycle_residue_AR(15) 42 0.0254 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.0406 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_LinearTrend_residue_bestCycle_byL2_residue_AR(15) 34 0.0328 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.0442 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_LinearTrend_residue_zeroCycle_residue_AR(15) 26 0.0225 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.0393 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_PolyTrend_residue_bestCycle_byL2_residue_AR(15) 34 0.0345 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.0455 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_PolyTrend_residue_zeroCycle_residue_AR(15) 26 0.0247 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Used _Used_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.0454 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_ConstantTrend_residue_bestCycle_byL2_residue_AR(15) 50 0.0787 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.0468 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_ConstantTrend_residue_zeroCycle_residue_AR(15) 42 0.0835 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.0406 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_Lag1Trend_residue_bestCycle_byL2_residue_AR(15) 82 0.045 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.0477 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_Lag1Trend_residue_zeroCycle_residue_AR(15) 74 0.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.0406 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_LinearTrend_residue_bestCycle_byL2_residue_AR(15) 66 0.1022 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.0651 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_LinearTrend_residue_zeroCycle_residue_AR(15) 58 0.1121 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.0548 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_PolyTrend_residue_bestCycle_byL2_residue_AR(15) 66 0.1041 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.0665 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_PolyTrend_residue_zeroCycle_residue_AR(15) 58 0.1143 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Used Diff_Used_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.0559 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_ConstantTrend_residue_bestCycle_byL2_residue_AR(15) 50 5904117.4864 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_ConstantTrend_residue_zeroCycle_residue_AR(15) 42 5904117.3461 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_ConstantTrend_residue_zeroCycle_residue_NoAR 32 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_Lag1Trend_residue_bestCycle_byL2_residue_AR(15) 82 5904117.4769 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 5904117.4893 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_Lag1Trend_residue_zeroCycle_residue_AR(15) 74 5904117.385 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.0406 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_LinearTrend_residue_bestCycle_byL2_residue_AR(15) 66 5904117.4147 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_LinearTrend_residue_zeroCycle_residue_AR(15) 58 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_LinearTrend_residue_zeroCycle_residue_NoAR 48 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_PolyTrend_residue_bestCycle_byL2_residue_AR(15) 66 5904117.4001 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_PolyTrend_residue_zeroCycle_residue_AR(15) 58 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Used RelDiff_Used_PolyTrend_residue_zeroCycle_residue_NoAR 48 5904117.2851 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_ConstantTrend_residue_bestCycle_byL2_residue_AR(15) 50 0.0618 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.4212 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_ConstantTrend_residue_zeroCycle_residue_AR(15) 42 0.0458 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_Lag1Trend_residue_bestCycle_byL2_residue_AR(15) 82 0.0943 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.0752 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_Lag1Trend_residue_zeroCycle_residue_AR(15) 74 0.0464 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.0406 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_LinearTrend_residue_bestCycle_byL2_residue_AR(15) 66 0.0672 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.3316 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_LinearTrend_residue_zeroCycle_residue_AR(15) 58 0.0372 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.231 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_bestCycle_byL2_residue_AR(15) 66 0.0783 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.7308 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_zeroCycle_residue_AR(15) 58 0.0504 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Used CumSum_Used_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7699 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Used' 4.274604558944702 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_ConstantTrend_Cycle_AR 18 0.032 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_ConstantTrend_Cycle_NoAR 8 0.0434 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_ConstantTrend_NoCycle_AR 10 0.0219 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_ConstantTrend_NoCycle_NoAR 0 0.0408 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_Lag1Trend_Cycle_AR 50 0.0362 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_Lag1Trend_Cycle_NoAR 40 0.047 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_Lag1Trend_NoCycle_AR 42 0.0254 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_Lag1Trend_NoCycle_NoAR 32 0.0406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_LinearTrend_Cycle_AR 34 0.0328 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_LinearTrend_Cycle_NoAR 24 0.0442 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_LinearTrend_NoCycle_AR 26 0.0225 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_LinearTrend_NoCycle_NoAR 16 0.0393 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_PolyTrend_Cycle_AR 34 0.0345 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_PolyTrend_Cycle_NoAR 24 0.0455 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_PolyTrend_NoCycle_AR 26 0.0247 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Used NoTransf_PolyTrend_NoCycle_NoAR 16 0.0454 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_ConstantTrend_Cycle_AR 50 0.0787 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_ConstantTrend_Cycle_NoAR 40 0.0468 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_ConstantTrend_NoCycle_AR 42 0.0835 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_ConstantTrend_NoCycle_NoAR 32 0.0406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_Lag1Trend_Cycle_AR 82 0.045 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_Lag1Trend_Cycle_NoAR 72 0.0477 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_Lag1Trend_NoCycle_AR 74 0.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_Lag1Trend_NoCycle_NoAR 64 0.0406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_LinearTrend_Cycle_AR 66 0.1022 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_LinearTrend_Cycle_NoAR 56 0.0651 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_LinearTrend_NoCycle_AR 58 0.1121 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_LinearTrend_NoCycle_NoAR 48 0.0548 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_PolyTrend_Cycle_AR 66 0.1041 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_PolyTrend_Cycle_NoAR 56 0.0665 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_PolyTrend_NoCycle_AR 58 0.1143 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Used Difference_PolyTrend_NoCycle_NoAR 48 0.0559 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_ConstantTrend_Cycle_AR 50 5904117.4864 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_ConstantTrend_Cycle_NoAR 40 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_ConstantTrend_NoCycle_AR 42 5904117.3461 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_ConstantTrend_NoCycle_NoAR 32 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_Lag1Trend_Cycle_AR 82 5904117.4769 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_Lag1Trend_Cycle_NoAR 72 5904117.4893 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_Lag1Trend_NoCycle_AR 74 5904117.385 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.0406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_LinearTrend_Cycle_AR 66 5904117.4147 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_LinearTrend_Cycle_NoAR 56 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_LinearTrend_NoCycle_AR 58 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_LinearTrend_NoCycle_NoAR 48 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_PolyTrend_Cycle_AR 66 5904117.4001 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_PolyTrend_Cycle_NoAR 56 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_PolyTrend_NoCycle_AR 58 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Used RelativeDifference_PolyTrend_NoCycle_NoAR 48 5904117.2851 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_ConstantTrend_Cycle_AR 50 0.0618 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_ConstantTrend_Cycle_NoAR 40 1.4212 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_ConstantTrend_NoCycle_AR 42 0.0458 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_Lag1Trend_Cycle_AR 82 0.0943 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_Lag1Trend_Cycle_NoAR 72 0.0752 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_Lag1Trend_NoCycle_AR 74 0.0464 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_Lag1Trend_NoCycle_NoAR 64 0.0406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_LinearTrend_Cycle_AR 66 0.0672 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_LinearTrend_Cycle_NoAR 56 0.3316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_LinearTrend_NoCycle_AR 58 0.0372 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_LinearTrend_NoCycle_NoAR 48 0.231 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_PolyTrend_Cycle_AR 66 0.0783 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_PolyTrend_Cycle_NoAR 56 0.7308 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_PolyTrend_NoCycle_AR 58 0.0504 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Used Integration_PolyTrend_NoCycle_NoAR 48 0.7699 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Used' 3.9866039752960205 INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=2011-11-01T00:00:00.000000 TimeMax=2011-12-10T00:00:00.000000 TimeDelta= Horizon=10 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Used' Min=550 Max=800 Mean=627.885245902 StdDev=51.3244575836 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Used' Min=550 Max=800 Mean=627.885245902 StdDev=51.3244575836 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Used_ConstantTrend_residue_zeroCycle_residue_AR(15)' [ConstantTrend + NoCycle + AR(15)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Used_ConstantTrend_residue_zeroCycle_residue_AR(15)' [ConstantTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Used_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_Used_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Used_ConstantTrend_residue_zeroCycle_residue_AR(15)' [AR(15)] +INFO:pyaf.std:AUTOREG_DETAIL '_Used_ConstantTrend_residue_zeroCycle_residue_AR(15)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.036 MAPE_Forecast=0.0219 MAPE_Test=0.088 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.036 SMAPE_Forecast=0.0218 SMAPE_Test=0.0952 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.623 MASE_Forecast=0.5042 MASE_Test=1.1484 @@ -97,17 +97,24 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Used_ConstantTrend_residue_zeroCycle_residue_Lag INFO:pyaf.std:AR_MODEL_COEFF 10 _Used_ConstantTrend_residue_zeroCycle_residue_Lag12 -0.0151961221599 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.087627649307251 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.774479150772095 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.652646541595459 - Transformation ... TestMASE -0 _Used ... 1.1484 -1 _Used ... 1.1196 -2 _Used ... 1.5322 -3 _Used ... 0.9066 -4 _Used ... 1.1654 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5907928943634033 + Split Transformation ... TestMAPE TestMASE +0 None _Used ... 0.0880 1.1484 +1 None _Used ... 0.0859 1.1196 +2 None _Used ... 0.1178 1.5322 +3 None _Used ... 0.0732 0.9066 -[5 rows x 18 columns] +[4 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Used ... 0.0880 1.1484 +1 None _Used ... 0.0859 1.1196 +2 None _Used ... 0.1178 1.5322 +3 None _Used ... 0.0732 0.9066 +4 None _Used ... 0.0910 1.1654 + +[5 rows x 20 columns] Forecast Columns Index(['Date', 'Used', '_Used', 'row_number', 'Date_Normalized', '_Used_ConstantTrend', '_Used_ConstantTrend_residue', '_Used_ConstantTrend_residue_zeroCycle', @@ -172,10 +179,10 @@ Forecasts "Training_Signal_Length": 61 }, "Model": { - "AR_Model": "AR(15)", + "AR_Model": "AR", "Best_Decomposition": "_Used_ConstantTrend_residue_zeroCycle_residue_AR(15)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { diff --git a/tests/references/real-life_test_sof_example2.log b/tests/references/real-life_test_sof_example2.log index 6bddb5d61..b015150d9 100644 --- a/tests/references/real-life_test_sof_example2.log +++ b/tests/references/real-life_test_sof_example2.log @@ -5,103 +5,103 @@ INFO:pyaf.std:START_TRAINING 'dengue_index' 2 2010-01-03 0.174940 3 2010-01-04 0.176245 4 2010-01-05 0.176658 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 68 0.0428 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_NoAR 4 0.4655 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 72 0.0428 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.4655 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_ConstantTrend_residue_zeroCycle_residue_AR(64) 64 0.0428 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.4656 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_AR(64) 100 0.013 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_NoAR 36 0.0132 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 104 0.014 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.0142 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_Lag1Trend_residue_zeroCycle_residue_AR(64) 96 0.0135 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.0138 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 84 0.0428 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_NoAR 20 0.4662 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 88 0.0428 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.4662 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_LinearTrend_residue_zeroCycle_residue_AR(64) 80 0.0428 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.4662 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 84 0.0539 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_NoAR 20 0.8294 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 88 0.0541 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.8294 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_PolyTrend_residue_zeroCycle_residue_AR(64) 80 0.0538 -INFO:pyaf.std:collectPerformanceIndices : MAPE _dengue_index _dengue_index_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.8294 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 100 0.4754 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_NoAR 36 0.5697 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 104 0.4753 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.5692 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_ConstantTrend_residue_zeroCycle_residue_AR(64) 96 0.4712 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.5676 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_AR(64) 132 0.0173 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_NoAR 68 0.0169 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 136 0.0175 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.0175 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_Lag1Trend_residue_zeroCycle_residue_AR(64) 128 0.0217 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.0138 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 116 0.4656 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_NoAR 52 0.5562 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.4656 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.5558 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_LinearTrend_residue_zeroCycle_residue_AR(64) 112 0.4618 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.5543 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 116 0.5168 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_NoAR 52 0.6198 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.5167 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.6192 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_PolyTrend_residue_zeroCycle_residue_AR(64) 112 0.512 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_dengue_index Diff_dengue_index_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.6176 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 100 36736516.3065 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_NoAR 36 36736515.9264 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 104 36736515.9264 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 36736515.9264 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_ConstantTrend_residue_zeroCycle_residue_AR(64) 96 36736516.5892 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_ConstantTrend_residue_zeroCycle_residue_NoAR 32 36736515.9264 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_AR(64) 132 36736516.209 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_NoAR 68 36736516.2549 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 136 36736516.3263 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 36736516.2564 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_Lag1Trend_residue_zeroCycle_residue_AR(64) 128 36736515.9264 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.0138 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 116 36736516.3065 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_NoAR 52 36736516.3065 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 120 36736516.1893 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 36736516.1893 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_LinearTrend_residue_zeroCycle_residue_AR(64) 112 36736516.5892 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_LinearTrend_residue_zeroCycle_residue_NoAR 48 36736515.9264 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 116 36736516.301 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_NoAR 52 36736516.3039 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 120 36736516.2414 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 36736516.2782 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_PolyTrend_residue_zeroCycle_residue_AR(64) 112 36736516.2581 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_dengue_index RelDiff_dengue_index_PolyTrend_residue_zeroCycle_residue_NoAR 48 36736516.2581 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 100 0.0272 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_ConstantTrend_residue_Seasonal_DayOfWeek_residue_NoAR 36 1.5164 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 104 0.0272 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.5164 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_ConstantTrend_residue_zeroCycle_residue_AR(64) 96 0.0224 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_AR(64) 132 0.0183 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_Lag1Trend_residue_Seasonal_DayOfWeek_residue_NoAR 68 0.0134 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 136 0.0187 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.014 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_Lag1Trend_residue_zeroCycle_residue_AR(64) 128 0.0185 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.0138 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 116 0.0454 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_LinearTrend_residue_Seasonal_DayOfWeek_residue_NoAR 52 0.4375 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.0502 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4362 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_LinearTrend_residue_zeroCycle_residue_AR(64) 112 0.0231 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.4348 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_AR(64) 116 0.0475 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_Seasonal_DayOfWeek_residue_NoAR 52 0.4327 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.0558 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4405 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_zeroCycle_residue_AR(64) 112 0.0232 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_dengue_index CumSum_dengue_index_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.4279 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'dengue_index' 12.541886329650879 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_ConstantTrend_Seasonal_DayOfWeek_AR 68 0.0428 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_ConstantTrend_Seasonal_DayOfWeek_NoAR 4 0.4655 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_ConstantTrend_Cycle_AR 72 0.0428 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_ConstantTrend_Cycle_NoAR 8 0.4655 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_ConstantTrend_NoCycle_AR 64 0.0428 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_ConstantTrend_NoCycle_NoAR 0 0.4656 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_Lag1Trend_Seasonal_DayOfWeek_AR 100 0.013 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_Lag1Trend_Seasonal_DayOfWeek_NoAR 36 0.0132 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_Lag1Trend_Cycle_AR 104 0.014 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_Lag1Trend_Cycle_NoAR 40 0.0142 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_Lag1Trend_NoCycle_AR 96 0.0135 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_Lag1Trend_NoCycle_NoAR 32 0.0138 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_LinearTrend_Seasonal_DayOfWeek_AR 84 0.0428 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_LinearTrend_Seasonal_DayOfWeek_NoAR 20 0.4662 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_LinearTrend_Cycle_AR 88 0.0428 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_LinearTrend_Cycle_NoAR 24 0.4662 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_LinearTrend_NoCycle_AR 80 0.0428 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_LinearTrend_NoCycle_NoAR 16 0.4662 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_PolyTrend_Seasonal_DayOfWeek_AR 84 0.0539 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_PolyTrend_Seasonal_DayOfWeek_NoAR 20 0.8294 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_PolyTrend_Cycle_AR 88 0.0541 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_PolyTrend_Cycle_NoAR 24 0.8294 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_PolyTrend_NoCycle_AR 80 0.0538 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _dengue_index NoTransf_PolyTrend_NoCycle_NoAR 16 0.8294 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_ConstantTrend_Seasonal_DayOfWeek_AR 100 0.4754 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_ConstantTrend_Seasonal_DayOfWeek_NoAR 36 0.5697 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_ConstantTrend_Cycle_AR 104 0.4753 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_ConstantTrend_Cycle_NoAR 40 0.5692 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_ConstantTrend_NoCycle_AR 96 0.4712 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_ConstantTrend_NoCycle_NoAR 32 0.5676 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_Lag1Trend_Seasonal_DayOfWeek_AR 132 0.0173 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_Lag1Trend_Seasonal_DayOfWeek_NoAR 68 0.0169 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_Lag1Trend_Cycle_AR 136 0.0175 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_Lag1Trend_Cycle_NoAR 72 0.0175 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_Lag1Trend_NoCycle_AR 128 0.0217 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_Lag1Trend_NoCycle_NoAR 64 0.0138 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_LinearTrend_Seasonal_DayOfWeek_AR 116 0.4656 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_LinearTrend_Seasonal_DayOfWeek_NoAR 52 0.5562 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_LinearTrend_Cycle_AR 120 0.4656 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_LinearTrend_Cycle_NoAR 56 0.5558 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_LinearTrend_NoCycle_AR 112 0.4618 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_LinearTrend_NoCycle_NoAR 48 0.5543 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_PolyTrend_Seasonal_DayOfWeek_AR 116 0.5168 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_PolyTrend_Seasonal_DayOfWeek_NoAR 52 0.6198 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_PolyTrend_Cycle_AR 120 0.5167 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_PolyTrend_Cycle_NoAR 56 0.6192 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_PolyTrend_NoCycle_AR 112 0.512 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_dengue_index Difference_PolyTrend_NoCycle_NoAR 48 0.6176 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_ConstantTrend_Seasonal_DayOfWeek_AR 100 36736516.3065 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_ConstantTrend_Seasonal_DayOfWeek_NoAR 36 36736515.9264 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_ConstantTrend_Cycle_AR 104 36736515.9264 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_ConstantTrend_Cycle_NoAR 40 36736515.9264 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_ConstantTrend_NoCycle_AR 96 36736516.5892 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_ConstantTrend_NoCycle_NoAR 32 36736515.9264 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_Lag1Trend_Seasonal_DayOfWeek_AR 132 36736516.209 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_Lag1Trend_Seasonal_DayOfWeek_NoAR 68 36736516.2549 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_Lag1Trend_Cycle_AR 136 36736516.3263 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_Lag1Trend_Cycle_NoAR 72 36736516.2564 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_Lag1Trend_NoCycle_AR 128 36736515.9264 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.0138 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_LinearTrend_Seasonal_DayOfWeek_AR 116 36736516.3065 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_LinearTrend_Seasonal_DayOfWeek_NoAR 52 36736516.3065 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_LinearTrend_Cycle_AR 120 36736516.1893 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_LinearTrend_Cycle_NoAR 56 36736516.1893 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_LinearTrend_NoCycle_AR 112 36736516.5892 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_LinearTrend_NoCycle_NoAR 48 36736515.9264 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_PolyTrend_Seasonal_DayOfWeek_AR 116 36736516.301 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_PolyTrend_Seasonal_DayOfWeek_NoAR 52 36736516.3039 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_PolyTrend_Cycle_AR 120 36736516.2414 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_PolyTrend_Cycle_NoAR 56 36736516.2782 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_PolyTrend_NoCycle_AR 112 36736516.2581 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_dengue_index RelativeDifference_PolyTrend_NoCycle_NoAR 48 36736516.2581 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_ConstantTrend_Seasonal_DayOfWeek_AR 100 0.0272 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_ConstantTrend_Seasonal_DayOfWeek_NoAR 36 1.5164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_ConstantTrend_Cycle_AR 104 0.0272 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_ConstantTrend_Cycle_NoAR 40 1.5164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_ConstantTrend_NoCycle_AR 96 0.0224 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_Lag1Trend_Seasonal_DayOfWeek_AR 132 0.0183 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_Lag1Trend_Seasonal_DayOfWeek_NoAR 68 0.0134 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_Lag1Trend_Cycle_AR 136 0.0187 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_Lag1Trend_Cycle_NoAR 72 0.014 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_Lag1Trend_NoCycle_AR 128 0.0185 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_Lag1Trend_NoCycle_NoAR 64 0.0138 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_LinearTrend_Seasonal_DayOfWeek_AR 116 0.0454 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_LinearTrend_Seasonal_DayOfWeek_NoAR 52 0.4375 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_LinearTrend_Cycle_AR 120 0.0502 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_LinearTrend_Cycle_NoAR 56 0.4362 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_LinearTrend_NoCycle_AR 112 0.0231 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_LinearTrend_NoCycle_NoAR 48 0.4348 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_PolyTrend_Seasonal_DayOfWeek_AR 116 0.0475 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_PolyTrend_Seasonal_DayOfWeek_NoAR 52 0.4327 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_PolyTrend_Cycle_AR 120 0.0558 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_PolyTrend_Cycle_NoAR 56 0.4405 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_PolyTrend_NoCycle_AR 112 0.0232 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_dengue_index Integration_PolyTrend_NoCycle_NoAR 48 0.4279 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'dengue_index' 11.91682744026184 INFO:pyaf.std:TIME_DETAIL TimeVariable='date' TimeMin=2010-01-01T00:00:00.000000 TimeMax=2014-06-11T00:00:00.000000 TimeDelta= Horizon=5 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='dengue_index' Min=0.109196345 Max=0.377576611 Mean=0.202948125425 StdDev=0.0880025847689 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_dengue_index' Min=0.109196345 Max=0.377576611 Mean=0.202948125425 StdDev=0.0880025847689 @@ -119,17 +119,25 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.468314170837402 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.135754108428955 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.3207406997680664 - Transformation ... TestMASE -0 _dengue_index ... 0.7454 -1 _dengue_index ... 0.7048 -2 CumSum_dengue_index ... 1.0977 -3 _dengue_index ... 0.8904 -4 _dengue_index ... 0.8936 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.2832493782043457 + Split Transformation ... TestMAPE TestMASE +4 None _dengue_index ... 0.0069 0.8936 +1 None _dengue_index ... 0.0054 0.7048 +10 None _dengue_index ... 0.0034 0.4449 +5 None CumSum_dengue_index ... 0.0069 0.8936 +6 None Diff_dengue_index ... 0.0069 0.8936 -[5 rows x 18 columns] +[5 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _dengue_index ... 0.0057 0.7454 +1 None _dengue_index ... 0.0054 0.7048 +2 None CumSum_dengue_index ... 0.0084 1.0977 +3 None _dengue_index ... 0.0068 0.8904 +4 None _dengue_index ... 0.0069 0.8936 + +[5 rows x 20 columns] Forecast Columns Index(['date', 'dengue_index', '_dengue_index', 'row_number', 'date_Normalized', '_dengue_index_Lag1Trend', '_dengue_index_Lag1Trend_residue', @@ -190,7 +198,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_dengue_index_Lag1Trend_residue_zeroCycle_residue_NoAR", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "Lag1Trend" }, "Model_Performance": { diff --git a/tests/references/svr_test_air_passengers_svr.log b/tests/references/svr_test_air_passengers_svr.log index 69552a933..46d2245ca 100644 --- a/tests/references/svr_test_air_passengers_svr.log +++ b/tests/references/svr_test_air_passengers_svr.log @@ -1,13 +1,13 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.8294761180877686 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.713931083679199 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [Lag1Trend + NoCycle + SVR(33)] +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [Lag1Trend + NoCycle + SVR] INFO:pyaf.std:TREND_DETAIL '_AirPassengers_Lag1Trend' [Lag1Trend] INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [SVR(33)] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [SVR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0815 MAPE_Forecast=0.0946 MAPE_Test=0.0996 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0813 SMAPE_Forecast=0.0937 SMAPE_Test=0.0995 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.9358 MASE_Forecast=0.9608 MASE_Test=0.953 @@ -17,17 +17,17 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.885754346847534 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.707443714141846 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8712539672851562 - Transformation ... TestMAPE -0 _AirPassengers ... 0.0997 -1 _AirPassengers ... 0.0996 -2 CumSum_AirPassengers ... 0.1000 -3 CumSum_AirPassengers ... 0.1013 -4 _AirPassengers ... 0.1313 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8535487651824951 + Split Transformation ... ForecastMAPE TestMAPE +0 None _AirPassengers ... 0.0942 0.0997 +1 None _AirPassengers ... 0.0946 0.0996 +2 None CumSum_AirPassengers ... 0.0953 0.1000 +3 None CumSum_AirPassengers ... 0.0963 0.1013 +4 None _AirPassengers ... 0.1181 0.1313 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_Lag1Trend', '_AirPassengers_Lag1Trend_residue', @@ -99,10 +99,10 @@ Forecasts "Training_Signal_Length": 132 }, "Model": { - "AR_Model": "SVR(33)", + "AR_Model": "SVR", "Best_Decomposition": "_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "Lag1Trend" }, "Model_Performance": { diff --git a/tests/references/svr_test_air_passengers_svr_only.log b/tests/references/svr_test_air_passengers_svr_only.log index 1cc558722..6f854460c 100644 --- a/tests/references/svr_test_air_passengers_svr_only.log +++ b/tests/references/svr_test_air_passengers_svr_only.log @@ -1,45 +1,45 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_SVR(33) 32 0.4537 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_ConstantTrend_residue_zeroCycle_residue_SVR(33) 24 0.4539 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_SVR(33) 64 0.0942 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33) 56 0.0946 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_SVR(33) 48 0.1181 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_LinearTrend_residue_zeroCycle_residue_SVR(33) 40 0.1194 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_SVR(33) 48 0.1581 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_PolyTrend_residue_zeroCycle_residue_SVR(33) 40 0.1565 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_SVR(33) 64 0.3174 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_ConstantTrend_residue_zeroCycle_residue_SVR(33) 56 0.1916 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_SVR(33) 96 0.3577 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33) 88 0.3044 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_SVR(33) 80 0.3391 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_LinearTrend_residue_zeroCycle_residue_SVR(33) 72 0.1843 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_SVR(33) 80 0.439 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_PolyTrend_residue_zeroCycle_residue_SVR(33) 72 0.2843 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_SVR(33) 64 2183869.37 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_ConstantTrend_residue_zeroCycle_residue_SVR(33) 56 0.3084 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_SVR(33) 96 2183870.1252 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33) 88 356126.6492 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_SVR(33) 80 2183870.2071 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_LinearTrend_residue_zeroCycle_residue_SVR(33) 72 2183870.0874 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_SVR(33) 80 2183870.2071 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_PolyTrend_residue_zeroCycle_residue_SVR(33) 72 2183870.0874 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_SVR(33) 64 0.9789 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_ConstantTrend_residue_zeroCycle_residue_SVR(33) 56 1.0001 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_SVR(33) 96 0.0963 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33) 88 0.0953 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_SVR(33) 80 0.4958 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_zeroCycle_residue_SVR(33) 72 0.4857 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_SVR(33) 80 0.2102 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_zeroCycle_residue_SVR(33) 72 0.214 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.26720404624939 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_ConstantTrend_Cycle_SVR 32 0.4537 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_ConstantTrend_NoCycle_SVR 24 0.4539 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_Lag1Trend_Cycle_SVR 64 0.0942 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_Lag1Trend_NoCycle_SVR 56 0.0946 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_LinearTrend_Cycle_SVR 48 0.1181 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_LinearTrend_NoCycle_SVR 40 0.1194 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_PolyTrend_Cycle_SVR 48 0.1581 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_PolyTrend_NoCycle_SVR 40 0.1565 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_ConstantTrend_Cycle_SVR 64 0.3174 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_ConstantTrend_NoCycle_SVR 56 0.1916 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_Lag1Trend_Cycle_SVR 96 0.3577 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_Lag1Trend_NoCycle_SVR 88 0.3044 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_LinearTrend_Cycle_SVR 80 0.3391 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_LinearTrend_NoCycle_SVR 72 0.1843 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_PolyTrend_Cycle_SVR 80 0.439 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_PolyTrend_NoCycle_SVR 72 0.2843 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_ConstantTrend_Cycle_SVR 64 2183869.37 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_ConstantTrend_NoCycle_SVR 56 0.3084 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_Lag1Trend_Cycle_SVR 96 2183870.1252 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_Lag1Trend_NoCycle_SVR 88 356126.6492 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_LinearTrend_Cycle_SVR 80 2183870.2071 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_LinearTrend_NoCycle_SVR 72 2183870.0874 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_PolyTrend_Cycle_SVR 80 2183870.2071 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_PolyTrend_NoCycle_SVR 72 2183870.0874 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_ConstantTrend_Cycle_SVR 64 0.9789 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_ConstantTrend_NoCycle_SVR 56 1.0001 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_Lag1Trend_Cycle_SVR 96 0.0963 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_Lag1Trend_NoCycle_SVR 88 0.0953 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_Cycle_SVR 80 0.4958 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_NoCycle_SVR 72 0.4857 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_Cycle_SVR 80 0.2102 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_NoCycle_SVR 72 0.214 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.9713995456695557 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [Lag1Trend + NoCycle + SVR(33)] +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [Lag1Trend + NoCycle + SVR] INFO:pyaf.std:TREND_DETAIL '_AirPassengers_Lag1Trend' [Lag1Trend] INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [SVR(33)] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)' [SVR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0815 MAPE_Forecast=0.0946 MAPE_Test=0.0996 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0813 SMAPE_Forecast=0.0937 SMAPE_Test=0.0995 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.9358 MASE_Forecast=0.9608 MASE_Test=0.953 @@ -49,17 +49,24 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.859170913696289 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.641598701477051 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8623707294464111 - Transformation ... TestMASE -0 _AirPassengers ... 0.9539 -1 _AirPassengers ... 0.9530 -2 CumSum_AirPassengers ... 0.9593 -3 CumSum_AirPassengers ... 0.9696 -4 _AirPassengers ... 1.3917 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8231611251831055 + Split Transformation ... TestMAPE TestMASE +1 None _AirPassengers ... 0.0996 0.9530 +0 None _AirPassengers ... 0.0997 0.9539 +2 None CumSum_AirPassengers ... 0.1000 0.9593 +3 None CumSum_AirPassengers ... 0.1013 0.9696 -[5 rows x 18 columns] +[4 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _AirPassengers ... 0.0997 0.9539 +1 None _AirPassengers ... 0.0996 0.9530 +2 None CumSum_AirPassengers ... 0.1000 0.9593 +3 None CumSum_AirPassengers ... 0.1013 0.9696 +4 None _AirPassengers ... 0.1313 1.3917 + +[5 rows x 20 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_Lag1Trend', '_AirPassengers_Lag1Trend_residue', @@ -131,10 +138,10 @@ Forecasts "Training_Signal_Length": 132 }, "Model": { - "AR_Model": "SVR(33)", + "AR_Model": "SVR", "Best_Decomposition": "_AirPassengers_Lag1Trend_residue_zeroCycle_residue_SVR(33)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "Lag1Trend" }, "Model_Performance": { diff --git a/tests/references/svr_test_ozone_svr.log b/tests/references/svr_test_ozone_svr.log index c0ab1bd26..eb9f06bfc 100644 --- a/tests/references/svr_test_ozone_svr.log +++ b/tests/references/svr_test_ozone_svr.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.128631830215454 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.82398796081543 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094 @@ -33,17 +33,17 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.356672763824463 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.020843505859375 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9668779373168945 - Transformation ... TestMAPE -0 _Ozone ... 0.1740 -1 _Ozone ... 0.3430 -2 _Ozone ... 0.2567 -3 _Ozone ... 0.2567 -4 Diff_Ozone ... 0.2262 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.893761396408081 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1595 0.1740 +1 None _Ozone ... 0.1657 0.3430 +2 None _Ozone ... 0.1796 0.2567 +3 None _Ozone ... 0.1796 0.2567 +4 None Diff_Ozone ... 0.1800 0.2262 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -96,10 +96,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/svr_test_ozone_svr_only.log b/tests/references/svr_test_ozone_svr_only.log index e20efb98b..b78b0e84f 100644 --- a/tests/references/svr_test_ozone_svr_only.log +++ b/tests/references/svr_test_ozone_svr_only.log @@ -5,63 +5,63 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 42 0.2319 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_SVR(51) 46 0.2319 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_SVR(51) 38 0.1847 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_SVR(51) 74 0.2051 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_SVR(51) 78 0.2051 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_SVR(51) 70 0.2037 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 58 0.2026 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_SVR(51) 62 0.2026 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_SVR(51) 54 0.1826 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 58 0.1919 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_SVR(51) 62 0.1919 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51) 54 0.1728 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 74 2.4399 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_SVR(51) 78 2.4399 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_SVR(51) 70 1.1286 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_SVR(51) 106 0.3203 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_SVR(51) 110 1.7978 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_SVR(51) 102 1.954 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 1.9915 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_SVR(51) 94 1.9915 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_SVR(51) 86 0.9797 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 2.3334 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_SVR(51) 94 2.3334 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51) 86 1.7338 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 74 2.1608 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_SVR(51) 78 2.1608 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_SVR(51) 70 101.9728 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_SVR(51) 106 0.964 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_SVR(51) 110 0.964 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_SVR(51) 102 0.5646 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 11.3881 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_SVR(51) 94 11.3881 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_SVR(51) 86 582.1854 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 10256.5839 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_SVR(51) 94 10256.5839 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51) 86 73076.8905 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 74 2.0621 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_SVR(51) 78 2.0621 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_SVR(51) 70 1.0047 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_SVR(51) 106 0.2426 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_SVR(51) 110 0.2426 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_SVR(51) 102 0.1947 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 0.5057 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_SVR(51) 94 0.4457 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_SVR(51) 86 0.4273 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_SVR(51) 90 0.9326 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_SVR(51) 94 0.9222 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51) 86 0.7632 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.712968587875366 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_SVR 42 0.2319 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_SVR 46 0.2319 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_SVR 38 0.1847 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_SVR 74 0.2051 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_SVR 78 0.2051 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_SVR 70 0.2037 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_SVR 58 0.2026 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_SVR 62 0.2026 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_SVR 54 0.1826 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_SVR 58 0.1919 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_SVR 62 0.1919 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_SVR 54 0.1728 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_SVR 74 2.4399 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_SVR 78 2.4399 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_SVR 70 1.1286 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_SVR 106 0.3203 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_SVR 110 1.7978 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_SVR 102 1.954 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_SVR 90 1.9915 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_SVR 94 1.9915 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_SVR 86 0.9797 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_SVR 90 2.3334 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_SVR 94 2.3334 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_SVR 86 1.7338 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_SVR 74 2.1608 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_SVR 78 2.1608 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_SVR 70 101.9728 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_SVR 106 0.964 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_SVR 110 0.964 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_SVR 102 0.5646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_SVR 90 11.3881 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_SVR 94 11.3881 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_SVR 86 582.1854 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_SVR 90 10256.5839 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_SVR 94 10256.5839 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_SVR 86 73076.8905 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_SVR 74 2.0621 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_SVR 78 2.0621 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_SVR 70 1.0047 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_SVR 106 0.2426 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_SVR 110 0.2426 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_SVR 102 0.1947 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_SVR 90 0.5057 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_SVR 94 0.4457 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_SVR 86 0.4273 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_SVR 90 0.9326 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_SVR 94 0.9222 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_SVR 86 0.7632 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.863430023193359 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51)' [PolyTrend + NoCycle + SVR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51)' [PolyTrend + NoCycle + SVR] INFO:pyaf.std:TREND_DETAIL '_Ozone_PolyTrend' [PolyTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_PolyTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51)' [SVR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51)' [SVR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0834 MAPE_Forecast=0.1728 MAPE_Test=0.4764 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0781 SMAPE_Forecast=0.1606 SMAPE_Test=0.3637 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.3684 MASE_Forecast=0.639 MASE_Test=2.2826 @@ -71,17 +71,22 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.407228469848633 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.030595541000366 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0059161186218262 - Transformation ... TestMASE -0 _Ozone ... 2.2826 -1 _Ozone ... 1.2645 -2 _Ozone ... 2.2242 -3 _Ozone ... 2.0744 -4 _Ozone ... 2.0744 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8862650394439697 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.4764 2.2826 +1 None _Ozone ... 0.2763 1.2645 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.4764 2.2826 +1 None _Ozone ... 0.2763 1.2645 +2 None _Ozone ... 0.4795 2.2242 +3 None _Ozone ... 0.4368 2.0744 +4 None _Ozone ... 0.4368 2.0744 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', 'Time_Normalized_^2', 'Time_Normalized_^3', '_Ozone_PolyTrend', '_Ozone_PolyTrend_residue', '_Ozone_PolyTrend_residue_zeroCycle', @@ -134,10 +139,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "SVR(51)", + "AR_Model": "SVR", "Best_Decomposition": "_Ozone_PolyTrend_residue_zeroCycle_residue_SVR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "PolyTrend" }, "Model_Performance": { diff --git a/tests/references/time_res_test_ozone_Daily.log b/tests/references/time_res_test_ozone_Daily.log index 7cba7c3f3..81d6d01b2 100644 --- a/tests/references/time_res_test_ozone_Daily.log +++ b/tests/references/time_res_test_ozone_Daily.log @@ -5,14 +5,14 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.424227476119995 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.156968116760254 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Daily' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-06-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -23,16 +23,16 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6589615345001221 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5274443626403809 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.598109245300293 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.292249917984009 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Daily' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2002-01-30T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -43,15 +43,15 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6537384986877441 - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2001 -2 CumSum_Ozone ... 0.2144 -3 _Ozone ... 0.6185 -4 _Ozone ... 0.2132 - -[5 rows x 6 columns] +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5725796222686768 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.2172 0.2001 +2 None CumSum_Ozone ... 0.2199 0.2144 +3 None _Ozone ... 0.2314 0.6185 +4 None _Ozone ... 0.2778 0.2132 + +[5 rows x 8 columns] Forecast Columns Index(['Time_1_Daily', 'Ozone', '_Ozone', 'row_number', 'Time_1_Daily_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -107,8 +107,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -129,14 +129,14 @@ Forecasts - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2001 -2 CumSum_Ozone ... 0.2144 -3 _Ozone ... 0.6185 -4 _Ozone ... 0.2132 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.2172 0.2001 +2 None CumSum_Ozone ... 0.2199 0.2144 +3 None _Ozone ... 0.2314 0.6185 +4 None _Ozone ... 0.2778 0.2132 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time_5_Daily', 'Ozone', '_Ozone', 'row_number', 'Time_5_Daily_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -192,8 +192,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/time_res_test_ozone_Hourly.log b/tests/references/time_res_test_ozone_Hourly.log index cee55bf5e..4578d832d 100644 --- a/tests/references/time_res_test_ozone_Hourly.log +++ b/tests/references/time_res_test_ozone_Hourly.log @@ -5,14 +5,14 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.7828121185302734 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.6174585819244385 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Hourly' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-07T08:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -23,9 +23,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6384181976318359 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5136592388153076 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3796472549438477 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1087207794189453 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Hourly' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-02-01T16:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 @@ -43,15 +43,15 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6549463272094727 - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2001 -2 CumSum_Ozone ... 0.2144 -3 _Ozone ... 0.6185 -4 _Ozone ... 0.2132 - -[5 rows x 6 columns] +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5583066940307617 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.2172 0.2001 +2 None CumSum_Ozone ... 0.2199 0.2144 +3 None _Ozone ... 0.2314 0.6185 +4 None _Ozone ... 0.2778 0.2132 + +[5 rows x 8 columns] Forecast Columns Index(['Time_1_Hourly', 'Ozone', '_Ozone', 'row_number', 'Time_1_Hourly_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -107,8 +107,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -129,14 +129,14 @@ Forecasts - Transformation ... TestMAPE -0 _Ozone ... 0.2905 -1 _Ozone ... 0.2568 -2 _Ozone ... 0.2001 -3 CumSum_Ozone ... 0.2144 -4 _Ozone ... 0.2159 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1766 0.2905 +1 None _Ozone ... 0.1796 0.2568 +2 None _Ozone ... 0.2172 0.2001 +3 None CumSum_Ozone ... 0.2199 0.2144 +4 None _Ozone ... 0.2236 0.2159 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time_5_Hourly', 'Ozone', '_Ozone', 'row_number', 'Time_5_Hourly_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', @@ -193,7 +193,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_Seasonal_Hour_residue_NoAR", "Cycle": "Seasonal_Hour", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/time_res_test_ozone_Minutely.log b/tests/references/time_res_test_ozone_Minutely.log index dc329615f..86df7209a 100644 --- a/tests/references/time_res_test_ozone_Minutely.log +++ b/tests/references/time_res_test_ozone_Minutely.log @@ -5,46 +5,46 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.5344 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.3192 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.2314 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.4088 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.4615 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.4328 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.6706 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3305 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.3074 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7316 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 46569713.7455 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 47541219.6128 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4406 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.4271 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9146 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7646 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1617164611816406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.5344 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3192 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.2314 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.4088 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.4615 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.4328 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.6706 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.3305 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.3074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 0.7316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 46569713.7455 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 47541219.6128 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.4406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.4271 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 0.9146 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 0.7646 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.215179681777954 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_PerMinute' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T02:32:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -55,57 +55,57 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6413092613220215 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6270465850830078 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_Minute_residue_NoAR 4 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.5344 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_Minute_residue_NoAR 36 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_Minute_residue_NoAR 20 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.3192 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_Minute_residue_NoAR 20 0.2314 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.2314 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.4088 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_Minute_residue_NoAR 36 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.4615 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_Minute_residue_NoAR 68 0.6926 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.4328 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_Minute_residue_NoAR 52 0.6706 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.6706 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3305 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_Minute_residue_NoAR 52 0.3074 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.3074 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7316 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_Minute_residue_NoAR 36 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_Minute_residue_NoAR 68 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_Minute_residue_NoAR 52 46569713.7455 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 46569713.7455 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_Minute_residue_NoAR 52 47541219.6128 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 47541219.6128 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_Minute_residue_NoAR 36 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_Minute_residue_NoAR 68 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_Minute_residue_NoAR 52 0.5054 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4406 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.4271 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_Minute_residue_NoAR 52 0.9292 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9146 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7646 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.8705663681030273 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_Minute_NoAR 4 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.5344 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_Minute_NoAR 36 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_Minute_NoAR 20 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3192 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_Minute_NoAR 20 0.2314 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.2314 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.4088 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_Minute_NoAR 36 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.4615 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_Minute_NoAR 68 0.6926 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.4328 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_Minute_NoAR 52 0.6706 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.6706 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.3305 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_Minute_NoAR 52 0.3074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.3074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 0.7316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_Minute_NoAR 36 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_Minute_NoAR 68 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_Minute_NoAR 52 46569713.7455 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 46569713.7455 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_Minute_NoAR 52 47541219.6128 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 47541219.6128 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_Minute_NoAR 36 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_Minute_NoAR 68 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_Minute_NoAR 52 0.5054 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.4406 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.4271 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_Minute_NoAR 52 0.9292 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 0.9146 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 0.7646 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.8517916202545166 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_PerMinute' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T12:40:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 @@ -123,15 +123,19 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6453616619110107 - Transformation ... TestMASE -0 _Ozone ... 1.2246 -1 _Ozone ... 0.9051 -2 CumSum_Ozone ... 0.9560 -3 _Ozone ... 2.9623 -4 _Ozone ... 1.0048 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6270298957824707 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.2568 1.2246 -[5 rows x 18 columns] +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.2568 1.2246 +1 None _Ozone ... 0.2001 0.9051 +2 None CumSum_Ozone ... 0.2144 0.9560 +3 None _Ozone ... 0.6185 2.9623 +4 None _Ozone ... 0.2132 1.0048 + +[5 rows x 20 columns] Forecast Columns Index(['Time_1_PerMinute', 'Ozone', '_Ozone', 'row_number', 'Time_1_PerMinute_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -187,8 +191,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -209,14 +213,19 @@ Forecasts - Transformation ... TestMASE -0 _Ozone ... 1.2246 -1 _Ozone ... 1.2246 -2 _Ozone ... 0.9051 -3 _Ozone ... 0.9051 -4 CumSum_Ozone ... 0.9560 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.2568 1.2246 +1 None _Ozone ... 0.2568 1.2246 + +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.2568 1.2246 +1 None _Ozone ... 0.2568 1.2246 +2 None _Ozone ... 0.2001 0.9051 +3 None _Ozone ... 0.2001 0.9051 +4 None CumSum_Ozone ... 0.2144 0.9560 -[5 rows x 18 columns] +[5 rows x 20 columns] Forecast Columns Index(['Time_5_PerMinute', 'Ozone', '_Ozone', 'row_number', 'Time_5_PerMinute_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', @@ -273,7 +282,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_Seasonal_Minute_residue_NoAR", "Cycle": "Seasonal_Minute", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/time_res_test_ozone_Secondly.log b/tests/references/time_res_test_ozone_Secondly.log index 553713fd2..567f12a78 100644 --- a/tests/references/time_res_test_ozone_Secondly.log +++ b/tests/references/time_res_test_ozone_Secondly.log @@ -5,14 +5,14 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8020031452178955 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.6081244945526123 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_PerSecond' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T00:02:32.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -23,9 +23,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6548633575439453 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5271167755126953 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3804447650909424 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.19618558883667 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_PerSecond' TimeMin=2000-01-01T00:00:00.000000 TimeMax=2000-01-01T00:12:40.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 @@ -43,15 +43,15 @@ INFO:pyaf.std:MODEL_COMPLEXITY 20 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6563460826873779 - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2001 -2 CumSum_Ozone ... 0.2144 -3 _Ozone ... 0.6185 -4 _Ozone ... 0.2132 - -[5 rows x 6 columns] +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.631432294845581 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.2172 0.2001 +2 None CumSum_Ozone ... 0.2199 0.2144 +3 None _Ozone ... 0.2314 0.6185 +4 None _Ozone ... 0.2778 0.2132 + +[5 rows x 8 columns] Forecast Columns Index(['Time_1_PerSecond', 'Ozone', '_Ozone', 'row_number', 'Time_1_PerSecond_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -107,8 +107,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -129,14 +129,14 @@ Forecasts - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2568 -2 _Ozone ... 0.2001 -3 _Ozone ... 0.2001 -4 CumSum_Ozone ... 0.2144 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.1796 0.2568 +2 None _Ozone ... 0.2172 0.2001 +3 None _Ozone ... 0.2172 0.2001 +4 None CumSum_Ozone ... 0.2199 0.2144 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time_5_PerSecond', 'Ozone', '_Ozone', 'row_number', 'Time_5_PerSecond_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', @@ -193,7 +193,7 @@ Forecasts "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_Seasonal_Second_residue_NoAR", "Cycle": "Seasonal_Second", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/time_res_test_ozone_Weekly.log b/tests/references/time_res_test_ozone_Weekly.log index 6994e9221..68d3ecb56 100644 --- a/tests/references/time_res_test_ozone_Weekly.log +++ b/tests/references/time_res_test_ozone_Weekly.log @@ -5,14 +5,14 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.6052772998809814 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.344011068344116 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_1_Weekly' TimeMin=2000-01-02T00:00:00.000000 TimeMax=2002-12-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -23,16 +23,16 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6549575328826904 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5701377391815186 INFO:pyaf.std:START_TRAINING 'Ozone' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.9466776847839355 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.708813428878784 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time_5_Weekly' TimeMin=2000-01-02T00:00:00.000000 TimeMax=2014-07-27T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle_Length_12 + NoAR] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [LinearTrend + Cycle + NoAR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle_Length_12] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2' [Cycle] INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR' [NoAR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1865 MAPE_Forecast=0.1796 MAPE_Test=0.2568 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1767 SMAPE_Forecast=0.1921 SMAPE_Test=0.2534 @@ -43,15 +43,15 @@ INFO:pyaf.std:MODEL_COMPLEXITY 24 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.6611332893371582 - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2001 -2 CumSum_Ozone ... 0.2144 -3 _Ozone ... 0.6185 -4 RelDiff_Ozone ... 0.2451 - -[5 rows x 6 columns] +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.5949561595916748 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.2172 0.2001 +2 None CumSum_Ozone ... 0.2199 0.2144 +3 None _Ozone ... 0.2314 0.6185 +4 None RelDiff_Ozone ... 0.2702 0.2451 + +[5 rows x 8 columns] Forecast Columns Index(['Time_1_Weekly', 'Ozone', '_Ozone', 'row_number', 'Time_1_Weekly_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -107,8 +107,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -129,14 +129,14 @@ Forecasts - Transformation ... TestMAPE -0 _Ozone ... 0.2568 -1 _Ozone ... 0.2001 -2 CumSum_Ozone ... 0.2144 -3 _Ozone ... 0.6185 -4 RelDiff_Ozone ... 0.2451 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1796 0.2568 +1 None _Ozone ... 0.2172 0.2001 +2 None CumSum_Ozone ... 0.2199 0.2144 +3 None _Ozone ... 0.2314 0.6185 +4 None RelDiff_Ozone ... 0.2702 0.2451 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time_5_Weekly', 'Ozone', '_Ozone', 'row_number', 'Time_5_Weekly_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', 'cycle_internal', @@ -192,8 +192,8 @@ Forecasts "Model": { "AR_Model": "NoAR", "Best_Decomposition": "_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR", - "Cycle": "Cycle_Length_12", - "Signal_Transoformation": "None", + "Cycle": "Cycle", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/transformations_test_ozone_transf_anscombe.log b/tests/references/transformations_test_ozone_transf_anscombe.log index fff189591..b86943c21 100644 --- a/tests/references/transformations_test_ozone_transf_anscombe.log +++ b/tests/references/transformations_test_ozone_transf_anscombe.log @@ -5,39 +5,39 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.1794 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.3453 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.1794 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.3453 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.1845 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.507 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2039 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2132 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.2039 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.2132 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.2149 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.1744 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.164 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.1744 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.164 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.1384 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3181 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.1872 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.2137 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.1872 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.2137 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.1595 -INFO:pyaf.std:collectPerformanceIndices : MAPE Anscombe_Ozone Anscombe_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.389 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1232783794403076 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.1794 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.3453 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_ConstantTrend_Cycle_AR 78 0.1794 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_ConstantTrend_Cycle_NoAR 40 0.3453 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_ConstantTrend_NoCycle_AR 70 0.1845 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_ConstantTrend_NoCycle_NoAR 32 0.507 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.2039 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.2132 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_Lag1Trend_Cycle_AR 110 0.2039 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_Lag1Trend_Cycle_NoAR 72 0.2132 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_Lag1Trend_NoCycle_AR 102 0.2149 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_LinearTrend_Seasonal_MonthOfYear_AR 90 0.1744 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_LinearTrend_Cycle_AR 94 0.1744 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_LinearTrend_Cycle_NoAR 56 0.164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_LinearTrend_NoCycle_AR 86 0.1384 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_LinearTrend_NoCycle_NoAR 48 0.3181 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_PolyTrend_Seasonal_MonthOfYear_AR 90 0.1872 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.2137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_PolyTrend_Cycle_AR 94 0.1872 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_PolyTrend_Cycle_NoAR 56 0.2137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_PolyTrend_NoCycle_AR 86 0.1595 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Anscombe_Ozone Anscombe_PolyTrend_NoCycle_NoAR 48 0.389 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.9589052200317383 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Anscombe_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL 'Anscombe_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1642 MAPE_Forecast=0.1384 MAPE_Test=0.1408 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1559 SMAPE_Forecast=0.1512 SMAPE_Test=0.1438 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7168 MASE_Forecast=0.6055 MASE_Test=0.7524 @@ -57,17 +57,21 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Anscombe_Ozone_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.0738221650976 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.320547819137573 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.143206834793091 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9461338520050049 - Transformation ... TestMASE -0 Anscombe_Ozone ... 0.7524 -1 Anscombe_Ozone ... 1.6272 -2 Anscombe_Ozone ... 1.0924 -3 Anscombe_Ozone ... 1.0924 -4 Anscombe_Ozone ... 0.8098 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9401426315307617 + Split Transformation ... TestMAPE TestMASE +0 None Anscombe_Ozone ... 0.1408 0.7524 -[5 rows x 18 columns] +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None Anscombe_Ozone ... 0.1408 0.7524 +1 None Anscombe_Ozone ... 0.3310 1.6272 +2 None Anscombe_Ozone ... 0.2347 1.0924 +3 None Anscombe_Ozone ... 0.2347 1.0924 +4 None Anscombe_Ozone ... 0.1640 0.8098 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'Anscombe_Ozone', 'row_number', 'Time_Normalized', 'Anscombe_Ozone_LinearTrend', 'Anscombe_Ozone_LinearTrend_residue', 'Anscombe_Ozone_LinearTrend_residue_zeroCycle', @@ -121,7 +125,7 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", "Signal_Transoformation": "Anscombe", diff --git a/tests/references/transformations_test_ozone_transf_boxcox.log b/tests/references/transformations_test_ozone_transf_boxcox.log index b4bdc713c..fef0eff03 100644 --- a/tests/references/transformations_test_ozone_transf_boxcox.log +++ b/tests/references/transformations_test_ozone_transf_boxcox.log @@ -5,255 +5,255 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 398560256.16 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.1882 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 398560256.16 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.1882 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 680024886.238 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.3246 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 476951517.784 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 71769999.5759 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 476951517.784 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 71769999.5759 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 544177199.029 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 411372389.102 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.3272 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 411372389.102 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.3272 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 583548543.021 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3627 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 359538500.745 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.3473 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 359538500.745 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.3473 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 545379952.526 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-2_Ozone Box_Cox_-2_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.372 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 88489577.9404 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2073 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 88489577.9404 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2073 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 193296828.064 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.3241 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 194884329.919 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.209 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 194884329.919 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.209 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 411961718.806 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 88489577.9531 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.233 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 88489577.9531 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.233 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 123675068.138 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.327 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 88489577.9059 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.2374 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 88489577.9059 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2374 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 123675048.315 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-1_Ozone Box_Cox_-1_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3282 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2151 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.235 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.2151 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.235 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.4302 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.359 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 1.016 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2077 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 1.016 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2077 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 27.1654 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.3169 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1887 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.3169 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1887 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.262 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3176 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.3422 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1751 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.3422 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1751 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.2889 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.5_Ozone Box_Cox_-0.5_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3162 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2153 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2481 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.2153 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2481 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.3321 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.3761 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.4469 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2087 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.4469 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2087 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.499 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2184 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1783 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2184 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1783 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.2165 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3158 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2411 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1622 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2411 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1622 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.2472 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.33_Ozone Box_Cox_-0.33_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3139 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2289 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2546 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.2289 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2546 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.3176 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.3844 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.3812 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2091 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.3812 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2091 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.3814 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2334 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1743 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2334 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1743 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.2135 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.315 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.236 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1603 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.236 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1603 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.2326 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_-0.25_Ozone Box_Cox_-0.25_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3141 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.1949 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2755 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.1949 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2755 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.2497 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.4131 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2848 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2097 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2848 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2097 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.3381 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2015 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1639 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2015 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1639 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.1868 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3126 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.215 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1648 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.215 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1648 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1964 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.0_Ozone Box_Cox_0.0_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3213 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2514 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.4526 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.2514 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.4526 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.3734 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.6403 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2231 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2457 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2806 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.298 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.2364 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2774 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.2786 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2774 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2786 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.2417 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3183 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2809 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.3168 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2809 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.3168 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.2634 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_2_Ozone Box_Cox_2_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.5088 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.1805 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.3192 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.1805 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.3192 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.1922 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.4734 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2185 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2074 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2185 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2074 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.2212 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.1746 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1608 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.1746 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1608 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.1414 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3143 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.1825 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1873 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.1825 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1873 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1548 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.5_Ozone Box_Cox_0.5_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3575 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.1812 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.3042 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.1812 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.3042 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.2087 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.4516 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2432 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2085 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2432 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2085 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.2688 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.183 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1589 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.183 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1589 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.1515 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3126 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.1983 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1767 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.1983 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1767 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1621 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.33_Ozone Box_Cox_0.33_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.341 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.1837 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2972 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.1837 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2972 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.2205 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.4421 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2506 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2091 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2506 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2091 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.2796 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.1864 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1591 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.1864 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1591 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.1579 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.312 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2037 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1731 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2037 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1731 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1676 -INFO:pyaf.std:collectPerformanceIndices : MAPE Box_Cox_0.25_Ozone Box_Cox_0.25_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3361 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 19.042471170425415 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_ConstantTrend_Seasonal_MonthOfYear_AR 106 398560256.16 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.1882 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_ConstantTrend_Cycle_AR 110 398560256.16 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_ConstantTrend_Cycle_NoAR 72 0.1882 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_ConstantTrend_NoCycle_AR 102 680024886.238 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_ConstantTrend_NoCycle_NoAR 64 0.3246 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_Lag1Trend_Seasonal_MonthOfYear_AR 138 476951517.784 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 71769999.5759 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_Lag1Trend_Cycle_AR 142 476951517.784 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_Lag1Trend_Cycle_NoAR 104 71769999.5759 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_Lag1Trend_NoCycle_AR 134 544177199.029 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_LinearTrend_Seasonal_MonthOfYear_AR 122 411372389.102 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.3272 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_LinearTrend_Cycle_AR 126 411372389.102 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_LinearTrend_Cycle_NoAR 88 0.3272 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_LinearTrend_NoCycle_AR 118 583548543.021 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_LinearTrend_NoCycle_NoAR 80 0.3627 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_PolyTrend_Seasonal_MonthOfYear_AR 122 359538500.745 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.3473 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_PolyTrend_Cycle_AR 126 359538500.745 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_PolyTrend_Cycle_NoAR 88 0.3473 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_PolyTrend_NoCycle_AR 118 545379952.526 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-2_Ozone BoxCox(Lambda=-2)_PolyTrend_NoCycle_NoAR 80 0.372 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_ConstantTrend_Seasonal_MonthOfYear_AR 106 88489577.9404 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2073 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_ConstantTrend_Cycle_AR 110 88489577.9404 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_ConstantTrend_Cycle_NoAR 72 0.2073 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_ConstantTrend_NoCycle_AR 102 193296828.064 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_ConstantTrend_NoCycle_NoAR 64 0.3241 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_Lag1Trend_Seasonal_MonthOfYear_AR 138 194884329.919 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.209 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_Lag1Trend_Cycle_AR 142 194884329.919 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_Lag1Trend_Cycle_NoAR 104 0.209 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_Lag1Trend_NoCycle_AR 134 411961718.806 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_LinearTrend_Seasonal_MonthOfYear_AR 122 88489577.9531 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.233 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_LinearTrend_Cycle_AR 126 88489577.9531 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_LinearTrend_Cycle_NoAR 88 0.233 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_LinearTrend_NoCycle_AR 118 123675068.138 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_LinearTrend_NoCycle_NoAR 80 0.327 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_PolyTrend_Seasonal_MonthOfYear_AR 122 88489577.9059 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.2374 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_PolyTrend_Cycle_AR 126 88489577.9059 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_PolyTrend_Cycle_NoAR 88 0.2374 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_PolyTrend_NoCycle_AR 118 123675048.315 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-1_Ozone BoxCox(Lambda=-1)_PolyTrend_NoCycle_NoAR 80 0.3282 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.2151 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.235 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_ConstantTrend_Cycle_AR 110 0.2151 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_ConstantTrend_Cycle_NoAR 72 0.235 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_ConstantTrend_NoCycle_AR 102 0.4302 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_ConstantTrend_NoCycle_NoAR 64 0.359 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_Lag1Trend_Seasonal_MonthOfYear_AR 138 1.016 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2077 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_Lag1Trend_Cycle_AR 142 1.016 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_Lag1Trend_Cycle_NoAR 104 0.2077 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_Lag1Trend_NoCycle_AR 134 27.1654 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.3169 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1887 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_LinearTrend_Cycle_AR 126 0.3169 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_LinearTrend_Cycle_NoAR 88 0.1887 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_LinearTrend_NoCycle_AR 118 0.262 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_LinearTrend_NoCycle_NoAR 80 0.3176 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.3422 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1751 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_PolyTrend_Cycle_AR 126 0.3422 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_PolyTrend_Cycle_NoAR 88 0.1751 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_PolyTrend_NoCycle_AR 118 0.2889 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.5_Ozone BoxCox(Lambda=-0.5)_PolyTrend_NoCycle_NoAR 80 0.3162 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.2153 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2481 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_ConstantTrend_Cycle_AR 110 0.2153 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_ConstantTrend_Cycle_NoAR 72 0.2481 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_ConstantTrend_NoCycle_AR 102 0.3321 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_ConstantTrend_NoCycle_NoAR 64 0.3761 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.4469 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2087 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_Lag1Trend_Cycle_AR 142 0.4469 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_Lag1Trend_Cycle_NoAR 104 0.2087 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_Lag1Trend_NoCycle_AR 134 0.499 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2184 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1783 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_LinearTrend_Cycle_AR 126 0.2184 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_LinearTrend_Cycle_NoAR 88 0.1783 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_LinearTrend_NoCycle_AR 118 0.2165 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_LinearTrend_NoCycle_NoAR 80 0.3158 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.2411 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1622 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_PolyTrend_Cycle_AR 126 0.2411 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_PolyTrend_Cycle_NoAR 88 0.1622 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_PolyTrend_NoCycle_AR 118 0.2472 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.33_Ozone BoxCox(Lambda=-0.33)_PolyTrend_NoCycle_NoAR 80 0.3139 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.2289 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2546 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_ConstantTrend_Cycle_AR 110 0.2289 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_ConstantTrend_Cycle_NoAR 72 0.2546 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_ConstantTrend_NoCycle_AR 102 0.3176 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_ConstantTrend_NoCycle_NoAR 64 0.3844 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.3812 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2091 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_Lag1Trend_Cycle_AR 142 0.3812 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_Lag1Trend_Cycle_NoAR 104 0.2091 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_Lag1Trend_NoCycle_AR 134 0.3814 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2334 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1743 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_LinearTrend_Cycle_AR 126 0.2334 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_LinearTrend_Cycle_NoAR 88 0.1743 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_LinearTrend_NoCycle_AR 118 0.2135 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_LinearTrend_NoCycle_NoAR 80 0.315 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.236 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1603 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_PolyTrend_Cycle_AR 126 0.236 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_PolyTrend_Cycle_NoAR 88 0.1603 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_PolyTrend_NoCycle_AR 118 0.2326 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_-0.25_Ozone BoxCox(Lambda=-0.25)_PolyTrend_NoCycle_NoAR 80 0.3141 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.1949 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2755 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_ConstantTrend_Cycle_AR 110 0.1949 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_ConstantTrend_Cycle_NoAR 72 0.2755 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_ConstantTrend_NoCycle_AR 102 0.2497 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_ConstantTrend_NoCycle_NoAR 64 0.4131 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2848 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2097 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_Lag1Trend_Cycle_AR 142 0.2848 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_Lag1Trend_Cycle_NoAR 104 0.2097 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_Lag1Trend_NoCycle_AR 134 0.3381 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2015 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1639 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_LinearTrend_Cycle_AR 126 0.2015 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_LinearTrend_Cycle_NoAR 88 0.1639 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_LinearTrend_NoCycle_AR 118 0.1868 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_LinearTrend_NoCycle_NoAR 80 0.3126 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.215 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1648 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_PolyTrend_Cycle_AR 126 0.215 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_PolyTrend_Cycle_NoAR 88 0.1648 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_PolyTrend_NoCycle_AR 118 0.1964 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.0_Ozone BoxCox(Lambda=0.0)_PolyTrend_NoCycle_NoAR 80 0.3213 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.2514 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.4526 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_ConstantTrend_Cycle_AR 110 0.2514 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_ConstantTrend_Cycle_NoAR 72 0.4526 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_ConstantTrend_NoCycle_AR 102 0.3734 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_ConstantTrend_NoCycle_NoAR 64 0.6403 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2231 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2457 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_Lag1Trend_Cycle_AR 142 0.2806 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_Lag1Trend_Cycle_NoAR 104 0.298 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_Lag1Trend_NoCycle_AR 134 0.2364 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2774 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.2786 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_LinearTrend_Cycle_AR 126 0.2774 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_LinearTrend_Cycle_NoAR 88 0.2786 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_LinearTrend_NoCycle_AR 118 0.2417 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_LinearTrend_NoCycle_NoAR 80 0.3183 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.2809 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.3168 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_PolyTrend_Cycle_AR 126 0.2809 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_PolyTrend_Cycle_NoAR 88 0.3168 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_PolyTrend_NoCycle_AR 118 0.2634 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_2_Ozone BoxCox(Lambda=2)_PolyTrend_NoCycle_NoAR 80 0.5088 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.1805 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.3192 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_ConstantTrend_Cycle_AR 110 0.1805 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_ConstantTrend_Cycle_NoAR 72 0.3192 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_ConstantTrend_NoCycle_AR 102 0.1922 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_ConstantTrend_NoCycle_NoAR 64 0.4734 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2185 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_Lag1Trend_Cycle_AR 142 0.2185 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_Lag1Trend_Cycle_NoAR 104 0.2074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_Lag1Trend_NoCycle_AR 134 0.2212 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.1746 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1608 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_LinearTrend_Cycle_AR 126 0.1746 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_LinearTrend_Cycle_NoAR 88 0.1608 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_LinearTrend_NoCycle_AR 118 0.1414 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_LinearTrend_NoCycle_NoAR 80 0.3143 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.1825 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1873 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_PolyTrend_Cycle_AR 126 0.1825 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_PolyTrend_Cycle_NoAR 88 0.1873 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_PolyTrend_NoCycle_AR 118 0.1548 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.5_Ozone BoxCox(Lambda=0.5)_PolyTrend_NoCycle_NoAR 80 0.3575 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.1812 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.3042 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_ConstantTrend_Cycle_AR 110 0.1812 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_ConstantTrend_Cycle_NoAR 72 0.3042 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_ConstantTrend_NoCycle_AR 102 0.2087 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_ConstantTrend_NoCycle_NoAR 64 0.4516 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2432 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2085 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_Lag1Trend_Cycle_AR 142 0.2432 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_Lag1Trend_Cycle_NoAR 104 0.2085 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_Lag1Trend_NoCycle_AR 134 0.2688 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.183 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1589 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_LinearTrend_Cycle_AR 126 0.183 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_LinearTrend_Cycle_NoAR 88 0.1589 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_LinearTrend_NoCycle_AR 118 0.1515 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_LinearTrend_NoCycle_NoAR 80 0.3126 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.1983 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1767 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_PolyTrend_Cycle_AR 126 0.1983 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_PolyTrend_Cycle_NoAR 88 0.1767 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_PolyTrend_NoCycle_AR 118 0.1621 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.33_Ozone BoxCox(Lambda=0.33)_PolyTrend_NoCycle_NoAR 80 0.341 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.1837 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2972 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_ConstantTrend_Cycle_AR 110 0.1837 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_ConstantTrend_Cycle_NoAR 72 0.2972 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_ConstantTrend_NoCycle_AR 102 0.2205 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_ConstantTrend_NoCycle_NoAR 64 0.4421 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2506 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2091 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_Lag1Trend_Cycle_AR 142 0.2506 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_Lag1Trend_Cycle_NoAR 104 0.2091 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_Lag1Trend_NoCycle_AR 134 0.2796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_Lag1Trend_NoCycle_NoAR 96 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_LinearTrend_Seasonal_MonthOfYear_AR 122 0.1864 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1591 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_LinearTrend_Cycle_AR 126 0.1864 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_LinearTrend_Cycle_NoAR 88 0.1591 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_LinearTrend_NoCycle_AR 118 0.1579 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_LinearTrend_NoCycle_NoAR 80 0.312 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_PolyTrend_Seasonal_MonthOfYear_AR 122 0.2037 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.1731 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_PolyTrend_Cycle_AR 126 0.2037 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_PolyTrend_Cycle_NoAR 88 0.1731 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_PolyTrend_NoCycle_AR 118 0.1676 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Box_Cox_0.25_Ozone BoxCox(Lambda=0.25)_PolyTrend_NoCycle_NoAR 80 0.3361 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 18.822686195373535 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Box_Cox_0.5_Ozone' Min=-1.9999999998 Max=0.0 Mean=-0.870301741487 StdDev=0.359907597447 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Box_Cox_0.5_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION 'Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL 'Box_Cox_0.5_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL 'Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL 'Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1613 MAPE_Forecast=0.1414 MAPE_Test=0.1662 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1554 SMAPE_Forecast=0.1528 SMAPE_Test=0.1605 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7181 MASE_Forecast=0.6203 MASE_Test=0.8999 @@ -273,17 +273,21 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_r INFO:pyaf.std:AR_MODEL_COEFF 10 Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_Lag35 -0.0835302315097 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.908982753753662 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.21593451499939 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1916453838348389 - Transformation ... TestMASE -0 Box_Cox_0.5_Ozone ... 0.8999 -1 Box_Cox_0.33_Ozone ... 1.0446 -2 Box_Cox_0.5_Ozone ... 1.4518 -3 Box_Cox_0.25_Ozone ... 1.1500 -4 Box_Cox_0.33_Ozone ... 0.8584 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9543354511260986 + Split Transformation ... TestMAPE TestMASE +0 None Box_Cox_0.5_Ozone ... 0.1662 0.8999 -[5 rows x 18 columns] +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None Box_Cox_0.5_Ozone ... 0.1662 0.8999 +1 None Box_Cox_0.33_Ozone ... 0.1866 1.0446 +2 None Box_Cox_0.5_Ozone ... 0.2790 1.4518 +3 None Box_Cox_0.25_Ozone ... 0.2046 1.1500 +4 None Box_Cox_0.33_Ozone ... 0.1925 0.8584 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'Box_Cox_0.5_Ozone', 'row_number', 'Time_Normalized', 'Box_Cox_0.5_Ozone_LinearTrend', 'Box_Cox_0.5_Ozone_LinearTrend_residue', @@ -338,7 +342,7 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "Box_Cox_0.5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", "Signal_Transoformation": "BoxCox(Lambda=0.5)", diff --git a/tests/references/transformations_test_ozone_transf_cumsum.log b/tests/references/transformations_test_ozone_transf_cumsum.log index 0679439d4..1783c1044 100644 --- a/tests/references/transformations_test_ozone_transf_cumsum.log +++ b/tests/references/transformations_test_ozone_transf_cumsum.log @@ -5,31 +5,31 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.3697 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.3697 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.338 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.3178 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.3178 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.2199 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.305 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.3238 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.5055 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.4118 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4455 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.4065 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.4272 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.3193 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.9277 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.3625 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9177 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4148 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7655 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8089029788970947 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.3697 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_AR 78 0.3697 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 70 0.338 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.3178 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_AR 110 0.3178 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2199 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 102 0.305 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 90 0.3238 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.5055 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_AR 94 0.4118 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.4455 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_AR 86 0.4065 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.4272 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 90 0.3193 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.9277 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_AR 94 0.3625 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 0.9177 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_AR 86 0.4148 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 0.7655 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8089022636413574 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='CumSum_Ozone' Min=2.7 Max=782.5 Mean=434.11372549 StdDev=222.554633979 @@ -47,17 +47,22 @@ INFO:pyaf.std:MODEL_COMPLEXITY 68 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.884708881378174 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.735303163528442 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7454869747161865 - Transformation ... TestMASE -0 CumSum_Ozone ... 0.9560 -1 CumSum_Ozone ... 0.9560 -2 CumSum_Ozone ... 1.0048 -3 CumSum_Ozone ... 1.7191 -4 CumSum_Ozone ... 1.7694 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7138457298278809 + Split Transformation ... TestMAPE TestMASE +0 None CumSum_Ozone ... 0.2144 0.956 +1 None CumSum_Ozone ... 0.2144 0.956 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None CumSum_Ozone ... 0.2144 0.9560 +1 None CumSum_Ozone ... 0.2144 0.9560 +2 None CumSum_Ozone ... 0.2132 1.0048 +3 None CumSum_Ozone ... 0.3484 1.7191 +4 None CumSum_Ozone ... 0.3849 1.7694 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'CumSum_Ozone', 'row_number', 'Time_Normalized', 'CumSum_Ozone_Lag1Trend', 'CumSum_Ozone_Lag1Trend_residue', 'CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear', diff --git a/tests/references/transformations_test_ozone_transf_difference.log b/tests/references/transformations_test_ozone_transf_difference.log index 0513c40a5..eaac10f77 100644 --- a/tests/references/transformations_test_ozone_transf_difference.log +++ b/tests/references/transformations_test_ozone_transf_difference.log @@ -5,39 +5,39 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.316 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.316 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.362 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.4615 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.5176 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.6926 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.2245 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.4328 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.18 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.5882 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.6726 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.5882 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.6726 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.3766 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3302 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.4489 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.3068 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.4489 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.3068 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.4357 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.7285 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.4489779472351074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_AR 78 0.316 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_AR 70 0.362 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.4615 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.5176 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.6926 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_AR 110 0.2245 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.4328 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_AR 102 0.18 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 90 0.5882 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.6726 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_AR 94 0.5882 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.6726 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_AR 86 0.3766 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.3302 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 90 0.4489 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.3068 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_AR 94 0.4489 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.3068 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_AR 86 0.4357 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 0.7285 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.0489635467529297 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Diff_Ozone' Min=-4.3 Max=3.5 Mean=-0.00735294117647 StdDev=1.10311273176 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Diff_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51)' [Lag1Trend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION 'Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51)' [Lag1Trend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL 'Diff_Ozone_Lag1Trend' [Lag1Trend] INFO:pyaf.std:CYCLE_DETAIL 'Diff_Ozone_Lag1Trend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL 'Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.2233 MAPE_Forecast=0.18 MAPE_Test=0.2262 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.2107 SMAPE_Forecast=0.1812 SMAPE_Test=0.2485 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.9072 MASE_Forecast=0.7251 MASE_Test=1.0525 @@ -57,17 +57,21 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_La INFO:pyaf.std:AR_MODEL_COEFF 10 Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_Lag36 0.289204574008 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.529099702835083 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.1977105140686035 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9387478828430176 - Transformation ... TestMASE -0 Diff_Ozone ... 1.0525 -1 Diff_Ozone ... 1.1819 -2 Diff_Ozone ... 1.0048 -3 Diff_Ozone ... 4.6437 -4 Diff_Ozone ... 4.6437 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.937492847442627 + Split Transformation ... TestMAPE TestMASE +0 None Diff_Ozone ... 0.2262 1.0525 -[5 rows x 18 columns] +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None Diff_Ozone ... 0.2262 1.0525 +1 None Diff_Ozone ... 0.2665 1.1819 +2 None Diff_Ozone ... 0.2132 1.0048 +3 None Diff_Ozone ... 0.9862 4.6437 +4 None Diff_Ozone ... 0.9862 4.6437 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'Diff_Ozone', 'row_number', 'Time_Normalized', 'Diff_Ozone_Lag1Trend', 'Diff_Ozone_Lag1Trend_residue', 'Diff_Ozone_Lag1Trend_residue_zeroCycle', @@ -120,7 +124,7 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", "Signal_Transoformation": "Difference", diff --git a/tests/references/transformations_test_ozone_transf_fisher.log b/tests/references/transformations_test_ozone_transf_fisher.log index 6f1978fac..7a7a8d452 100644 --- a/tests/references/transformations_test_ozone_transf_fisher.log +++ b/tests/references/transformations_test_ozone_transf_fisher.log @@ -5,39 +5,39 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.2748 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.441 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.3799 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.6721 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.4596 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.6857 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.3926 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.3924 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.3231 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.4278 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.2323 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.716 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.5324 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.6377 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4055 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.4779 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3336 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.34 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.2926 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.3248 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.4405 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.2388 -INFO:pyaf.std:collectPerformanceIndices : MAPE Fisher_Ozone Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.4408 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3898065090179443 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.2748 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.441 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_ConstantTrend_Cycle_AR 78 0.3799 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_ConstantTrend_Cycle_NoAR 40 0.6721 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_ConstantTrend_NoCycle_AR 70 0.4596 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_ConstantTrend_NoCycle_NoAR 32 0.6857 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.3926 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.3924 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_Lag1Trend_Cycle_AR 110 0.3231 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_Lag1Trend_Cycle_NoAR 72 0.4278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_Lag1Trend_NoCycle_AR 102 0.2323 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_LinearTrend_Seasonal_MonthOfYear_AR 90 0.716 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.5324 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_LinearTrend_Cycle_AR 94 0.6377 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_LinearTrend_Cycle_NoAR 56 0.4055 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_LinearTrend_NoCycle_AR 86 0.4779 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_LinearTrend_NoCycle_NoAR 48 0.3336 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_PolyTrend_Seasonal_MonthOfYear_AR 90 0.34 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.2926 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_PolyTrend_Cycle_AR 94 0.3248 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_PolyTrend_Cycle_NoAR 56 0.4405 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_PolyTrend_NoCycle_AR 86 0.2388 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Fisher_Ozone Fisher_PolyTrend_NoCycle_NoAR 48 0.4408 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.3948371410369873 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Fisher_Ozone' Min=0.0 Max=9.55691395724 Mean=0.43398413362 StdDev=0.692323871646 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Fisher_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION 'Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL 'Fisher_Ozone_PolyTrend' [PolyTrend] INFO:pyaf.std:CYCLE_DETAIL 'Fisher_Ozone_PolyTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL 'Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.2394 MAPE_Forecast=0.2388 MAPE_Test=0.7282 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.2114 SMAPE_Forecast=0.2096 SMAPE_Test=0.5054 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.9823 MASE_Forecast=0.8069 MASE_Test=3.2965 @@ -57,17 +57,22 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_ INFO:pyaf.std:AR_MODEL_COEFF 10 Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_Lag8 -0.0490255626097 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.83518648147583 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.516889572143555 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0551893711090088 - Transformation ... TestMASE -0 Fisher_Ozone ... 0.7979 -1 Fisher_Ozone ... 3.2965 -2 Fisher_Ozone ... 2.1425 -3 Fisher_Ozone ... 1.0048 -4 Fisher_Ozone ... 3.4060 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.985457181930542 + Split Transformation ... TestMAPE TestMASE +1 None Fisher_Ozone ... 0.7282 3.2965 +0 None Fisher_Ozone ... 0.1939 0.7979 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None Fisher_Ozone ... 0.1939 0.7979 +1 None Fisher_Ozone ... 0.7282 3.2965 +2 None Fisher_Ozone ... 0.4283 2.1425 +3 None Fisher_Ozone ... 0.2132 1.0048 +4 None Fisher_Ozone ... 0.7003 3.4060 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'Fisher_Ozone', 'row_number', 'Time_Normalized', 'Time_Normalized_^2', 'Time_Normalized_^3', 'Fisher_Ozone_PolyTrend', 'Fisher_Ozone_PolyTrend_residue', @@ -121,7 +126,7 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "Fisher_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", "Signal_Transoformation": "Fisher", diff --git a/tests/references/transformations_test_ozone_transf_logit.log b/tests/references/transformations_test_ozone_transf_logit.log index 92b94bb05..6d877bdf6 100644 --- a/tests/references/transformations_test_ozone_transf_logit.log +++ b/tests/references/transformations_test_ozone_transf_logit.log @@ -5,39 +5,39 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.2185 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.3576 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 0.2185 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.3576 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 0.2465 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.5342 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2078 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2609 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 0.2458 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.3085 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 0.2174 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.2324 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.2093 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.2324 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.2093 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 0.2153 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.3155 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 0.2189 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 0.2234 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 0.2189 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.2234 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 0.1676 -INFO:pyaf.std:collectPerformanceIndices : MAPE Logit_Ozone Logit_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.3443 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1423115730285645 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_ConstantTrend_Seasonal_MonthOfYear_AR 74 0.2185 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.3576 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_ConstantTrend_Cycle_AR 78 0.2185 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_ConstantTrend_Cycle_NoAR 40 0.3576 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_ConstantTrend_NoCycle_AR 70 0.2465 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_ConstantTrend_NoCycle_NoAR 32 0.5342 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_Lag1Trend_Seasonal_MonthOfYear_AR 106 0.2078 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.2609 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_Lag1Trend_Cycle_AR 110 0.2458 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_Lag1Trend_Cycle_NoAR 72 0.3085 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_Lag1Trend_NoCycle_AR 102 0.2174 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_LinearTrend_Seasonal_MonthOfYear_AR 90 0.2324 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.2093 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_LinearTrend_Cycle_AR 94 0.2324 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_LinearTrend_Cycle_NoAR 56 0.2093 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_LinearTrend_NoCycle_AR 86 0.2153 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_LinearTrend_NoCycle_NoAR 48 0.3155 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_PolyTrend_Seasonal_MonthOfYear_AR 90 0.2189 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.2234 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_PolyTrend_Cycle_AR 94 0.2189 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_PolyTrend_Cycle_NoAR 56 0.2234 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_PolyTrend_NoCycle_AR 86 0.1676 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Logit_Ozone Logit_PolyTrend_NoCycle_NoAR 48 0.3443 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.0993664264678955 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Logit_Ozone' Min=-18.420680734 Max=18.4206807289 Mean=-0.757798676614 StdDev=2.11281515059 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Logit_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION 'Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [PolyTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL 'Logit_Ozone_PolyTrend' [PolyTrend] INFO:pyaf.std:CYCLE_DETAIL 'Logit_Ozone_PolyTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL 'Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.2046 MAPE_Forecast=0.1676 MAPE_Test=0.3468 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1896 SMAPE_Forecast=0.1696 SMAPE_Test=0.2819 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.8972 MASE_Forecast=0.6483 MASE_Test=1.7761 @@ -57,17 +57,21 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 Logit_Ozone_PolyTrend_residue_zeroCycle_residue_L INFO:pyaf.std:AR_MODEL_COEFF 10 Logit_Ozone_PolyTrend_residue_zeroCycle_residue_Lag18 -0.0705882073998 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.375358581542969 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.656354188919067 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.965001106262207 - Transformation ... TestMASE -0 Logit_Ozone ... 1.7761 -1 Logit_Ozone ... 1.3891 -2 Logit_Ozone ... 1.2842 -3 Logit_Ozone ... 1.2842 -4 Logit_Ozone ... 0.7438 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.1107802391052246 + Split Transformation ... TestMAPE TestMASE +0 None Logit_Ozone ... 0.3468 1.7761 -[5 rows x 18 columns] +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None Logit_Ozone ... 0.3468 1.7761 +1 None Logit_Ozone ... 0.2598 1.3891 +2 None Logit_Ozone ... 0.2491 1.2842 +3 None Logit_Ozone ... 0.2491 1.2842 +4 None Logit_Ozone ... 0.1446 0.7438 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'Logit_Ozone', 'row_number', 'Time_Normalized', 'Time_Normalized_^2', 'Time_Normalized_^3', 'Logit_Ozone_PolyTrend', 'Logit_Ozone_PolyTrend_residue', @@ -121,7 +125,7 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "Logit_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", "Signal_Transoformation": "Logit", diff --git a/tests/references/transformations_test_ozone_transf_none.log b/tests/references/transformations_test_ozone_transf_none.log index 59ca6db86..59039d6fd 100644 --- a/tests/references/transformations_test_ozone_transf_none.log +++ b/tests/references/transformations_test_ozone_transf_none.log @@ -5,39 +5,39 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 42 0.1988 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 4 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 46 0.1988 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.3646 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 38 0.1949 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.5344 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 0.2164 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 36 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 78 0.2164 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 70 0.1959 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.2137 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.2137 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.1796 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 54 0.1595 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.3191 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 58 0.1992 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 20 0.2313 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 62 0.1992 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.2313 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 54 0.1657 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.4087 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.1177756786346436 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 42 0.1988 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_AR 46 0.1988 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.3646 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_AR 38 0.1949 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.5344 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 74 0.2164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_AR 78 0.2164 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_AR 70 0.1959 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 58 0.2137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_AR 62 0.2137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.1796 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_AR 54 0.1595 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3191 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 58 0.1992 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.2313 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_AR 62 0.1992 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.2313 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_AR 54 0.1657 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.4087 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.942263603210449 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094 @@ -57,17 +57,22 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.405700206756592 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.138604164123535 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9524316787719727 - Transformation ... TestMASE -0 _Ozone ... 0.9094 -1 _Ozone ... 1.6728 -2 _Ozone ... 1.2245 -3 _Ozone ... 1.2245 -4 _Ozone ... 1.3926 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9009394645690918 + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.174 0.9094 +1 None _Ozone ... 0.343 1.6728 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.1740 0.9094 +1 None _Ozone ... 0.3430 1.6728 +2 None _Ozone ... 0.2567 1.2245 +3 None _Ozone ... 0.2567 1.2245 +4 None _Ozone ... 0.2837 1.3926 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -120,10 +125,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/transformations_test_ozone_transf_quantization.log b/tests/references/transformations_test_ozone_transf_quantization.log index b43b0e293..32086470c 100644 --- a/tests/references/transformations_test_ozone_transf_quantization.log +++ b/tests/references/transformations_test_ozone_transf_quantization.log @@ -5,79 +5,79 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2027 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.2027 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2172 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.2458 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.3561 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2895 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2491 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2895 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2491 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.2274 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.3177 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2642 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.2407 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2642 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2407 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.2385 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3239 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2709 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.2041 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2709 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2041 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.2418 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_5_Ozone Quantized_5_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3561 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.1944 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2879 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.1944 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2879 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.185 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.4395 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2394 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2289 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2394 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2289 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.256 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2824 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2143 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1794 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2143 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1794 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.2022 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3169 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2109 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.2049 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2109 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2049 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.2057 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_10_Ozone Quantized_10_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3673 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 0.2118 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 68 0.2953 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 110 0.2118 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 72 0.2953 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 102 0.1891 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 64 0.4772 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 138 0.2334 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 100 0.2213 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 142 0.2334 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 104 0.2213 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 134 0.2459 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 96 0.2795 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2062 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.1841 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2062 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 88 0.1841 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 118 0.2033 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 80 0.3203 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 122 0.2309 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 84 0.2147 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 126 0.2309 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 88 0.2147 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 118 0.1753 -INFO:pyaf.std:collectPerformanceIndices : MAPE Quantized_20_Ozone Quantized_20_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 80 0.3985 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.3810529708862305 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.2027 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_ConstantTrend_Cycle_AR 110 0.2027 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_ConstantTrend_Cycle_NoAR 72 0.2172 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_ConstantTrend_NoCycle_AR 102 0.2458 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_ConstantTrend_NoCycle_NoAR 64 0.3561 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2895 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2491 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_Lag1Trend_Cycle_AR 142 0.2895 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_Lag1Trend_Cycle_NoAR 104 0.2491 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_Lag1Trend_NoCycle_AR 134 0.2274 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_Lag1Trend_NoCycle_NoAR 96 0.3177 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2642 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.2407 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_LinearTrend_Cycle_AR 126 0.2642 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_LinearTrend_Cycle_NoAR 88 0.2407 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_LinearTrend_NoCycle_AR 118 0.2385 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_LinearTrend_NoCycle_NoAR 80 0.3239 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_PolyTrend_Seasonal_MonthOfYear_AR 122 0.2709 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.2041 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_PolyTrend_Cycle_AR 126 0.2709 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_PolyTrend_Cycle_NoAR 88 0.2041 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_PolyTrend_NoCycle_AR 118 0.2418 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_5_Ozone Quantization_PolyTrend_NoCycle_NoAR 80 0.3561 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.1944 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2879 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_ConstantTrend_Cycle_AR 110 0.1944 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_ConstantTrend_Cycle_NoAR 72 0.2879 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_ConstantTrend_NoCycle_AR 102 0.185 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_ConstantTrend_NoCycle_NoAR 64 0.4395 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2394 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2289 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_Lag1Trend_Cycle_AR 142 0.2394 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_Lag1Trend_Cycle_NoAR 104 0.2289 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_Lag1Trend_NoCycle_AR 134 0.256 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_Lag1Trend_NoCycle_NoAR 96 0.2824 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2143 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1794 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_LinearTrend_Cycle_AR 126 0.2143 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_LinearTrend_Cycle_NoAR 88 0.1794 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_LinearTrend_NoCycle_AR 118 0.2022 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_LinearTrend_NoCycle_NoAR 80 0.3169 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_PolyTrend_Seasonal_MonthOfYear_AR 122 0.2109 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.2049 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_PolyTrend_Cycle_AR 126 0.2109 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_PolyTrend_Cycle_NoAR 88 0.2049 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_PolyTrend_NoCycle_AR 118 0.2057 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_10_Ozone Quantization_PolyTrend_NoCycle_NoAR 80 0.3673 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_ConstantTrend_Seasonal_MonthOfYear_AR 106 0.2118 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_ConstantTrend_Seasonal_MonthOfYear_NoAR 68 0.2953 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_ConstantTrend_Cycle_AR 110 0.2118 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_ConstantTrend_Cycle_NoAR 72 0.2953 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_ConstantTrend_NoCycle_AR 102 0.1891 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_ConstantTrend_NoCycle_NoAR 64 0.4772 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_Lag1Trend_Seasonal_MonthOfYear_AR 138 0.2334 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_Lag1Trend_Seasonal_MonthOfYear_NoAR 100 0.2213 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_Lag1Trend_Cycle_AR 142 0.2334 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_Lag1Trend_Cycle_NoAR 104 0.2213 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_Lag1Trend_NoCycle_AR 134 0.2459 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_Lag1Trend_NoCycle_NoAR 96 0.2795 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_LinearTrend_Seasonal_MonthOfYear_AR 122 0.2062 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_LinearTrend_Seasonal_MonthOfYear_NoAR 84 0.1841 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_LinearTrend_Cycle_AR 126 0.2062 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_LinearTrend_Cycle_NoAR 88 0.1841 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_LinearTrend_NoCycle_AR 118 0.2033 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_LinearTrend_NoCycle_NoAR 80 0.3203 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_PolyTrend_Seasonal_MonthOfYear_AR 122 0.2309 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_PolyTrend_Seasonal_MonthOfYear_NoAR 84 0.2147 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_PolyTrend_Cycle_AR 126 0.2309 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_PolyTrend_Cycle_NoAR 88 0.2147 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_PolyTrend_NoCycle_AR 118 0.1753 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Quantized_20_Ozone Quantization_PolyTrend_NoCycle_NoAR 80 0.3985 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.4635679721832275 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Quantized_10_Ozone' Min=0 Max=9 Mean=4.96078431373 StdDev=2.83853583021 @@ -95,17 +95,25 @@ INFO:pyaf.std:MODEL_COMPLEXITY 84 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.984635591506958 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.883386850357056 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7872714996337891 - Transformation ... TestMASE -0 Quantized_20_Ozone ... 1.1723 -1 Quantized_10_Ozone ... 0.9484 -2 Quantized_10_Ozone ... 0.9484 -3 Quantized_20_Ozone ... 1.2190 -4 Quantized_20_Ozone ... 1.2190 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7377490997314453 + Split Transformation ... TestMAPE TestMASE +1 None Quantized_10_Ozone ... 0.2000 0.9484 +3 None Quantized_20_Ozone ... 0.2678 1.2190 +2 None Quantized_10_Ozone ... 0.2000 0.9484 +4 None Quantized_20_Ozone ... 0.2678 1.2190 +5 None Quantized_10_Ozone ... 0.1956 1.0207 -[5 rows x 18 columns] +[5 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None Quantized_20_Ozone ... 0.2120 1.1723 +1 None Quantized_10_Ozone ... 0.2000 0.9484 +2 None Quantized_10_Ozone ... 0.2000 0.9484 +3 None Quantized_20_Ozone ... 0.2678 1.2190 +4 None Quantized_20_Ozone ... 0.2678 1.2190 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'Quantized_10_Ozone', 'row_number', 'Time_Normalized', 'Quantized_10_Ozone_LinearTrend', 'Quantized_10_Ozone_LinearTrend_residue', diff --git a/tests/references/transformations_test_ozone_transf_relative_difference.log b/tests/references/transformations_test_ozone_transf_relative_difference.log index 4822777fb..a8097a69d 100644 --- a/tests/references/transformations_test_ozone_transf_relative_difference.log +++ b/tests/references/transformations_test_ozone_transf_relative_difference.log @@ -5,31 +5,31 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 74 5433.1627 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_NoAR 36 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_AR(51) 78 5433.1627 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 40796628.6278 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_AR(51) 70 13195.3873 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_NoAR 32 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_AR(51) 106 84073.9442 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_NoAR 68 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_AR(51) 110 84073.9442 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.8931 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_AR(51) 102 1338.131 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.2778 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 19806.389 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 46569172.3098 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_AR(51) 94 19806.389 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 46569172.3098 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51) 86 113192.3779 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_AR(51) 90 1858329.0734 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_NoAR 52 47541752.6548 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_AR(51) 94 1858329.0734 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 47541752.6548 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_AR(51) 86 24525015.6551 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_NoAR 48 53955112.5074 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.8818507194519043 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 74 5433.1627 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 78 5433.1627 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 40796628.6278 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 70 13195.3873 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 106 84073.9442 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 110 84073.9442 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 1.8931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 102 1338.131 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2778 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 90 19806.389 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 46569172.3098 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 94 19806.389 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 46569172.3098 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 86 113192.3779 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 90 1858329.0734 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 47541752.6548 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 94 1858329.0734 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 47541752.6548 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 86 24525015.6551 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 53955112.5074 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 2.7998552322387695 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='RelDiff_Ozone' Min=-0.9999998125 Max=10.0 Mean=0.201269462545 StdDev=1.02611383151 @@ -47,17 +47,21 @@ INFO:pyaf.std:MODEL_COMPLEXITY 64 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.867944955825806 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.722745895385742 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7275652885437012 - Transformation ... TestMASE -0 RelDiff_Ozone ... 1.0048 -1 RelDiff_Ozone ... 14.4481 -2 RelDiff_Ozone ... 14.4481 -3 RelDiff_Ozone ... 1742.7537 -4 RelDiff_Ozone ... 17236.8680 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.732515811920166 + Split Transformation ... TestMAPE TestMASE +0 None RelDiff_Ozone ... 0.2132 1.0048 -[5 rows x 18 columns] +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None RelDiff_Ozone ... 0.2132 1.0048 +1 None RelDiff_Ozone ... 2.5846 14.4481 +2 None RelDiff_Ozone ... 2.5846 14.4481 +3 None RelDiff_Ozone ... 301.0833 1742.7537 +4 None RelDiff_Ozone ... 3356.5723 17236.8680 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', 'RelDiff_Ozone', 'row_number', 'Time_Normalized', 'RelDiff_Ozone_Lag1Trend', 'RelDiff_Ozone_Lag1Trend_residue', 'RelDiff_Ozone_Lag1Trend_residue_zeroCycle', diff --git a/tests/references/transformations_test_ozone_transf_relative_difference_1.log b/tests/references/transformations_test_ozone_transf_relative_difference_1.log index be9529505..8348aa4e8 100644 --- a/tests/references/transformations_test_ozone_transf_relative_difference_1.log +++ b/tests/references/transformations_test_ozone_transf_relative_difference_1.log @@ -12,15 +12,15 @@ memory usage: 18.8 KB 2 2 0.2 1.4400 3 3 0.2 1.7280 4 4 0.2 2.0736 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_Lag1Trend_residue_zeroCycle_residue_NoAR 64 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 1.6002390384674072 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_ConstantTrend_Cycle_NoAR 40 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_Lag1Trend_Cycle_NoAR 72 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_Lag1Trend_NoCycle_NoAR 64 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_LinearTrend_Cycle_NoAR 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_LinearTrend_NoCycle_NoAR 48 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_PolyTrend_Cycle_NoAR 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_PolyTrend_NoCycle_NoAR 48 1.0 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 1.6103355884552002 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='RelDiff_signal2' Min=0.0 Max=0.2 Mean=0.0168385189911 StdDev=0.0555262389696 @@ -38,108 +38,116 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.640194654464722 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.429899215698242 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7236979007720947 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.720172643661499 INFO:pyaf.std:START_TRAINING 'signal2' -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 72 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 8 0.9999 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_ConstantTrend_residue_zeroCycle_residue_AR(64) 64 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_ConstantTrend_residue_zeroCycle_residue_NoAR 0 0.9999 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 104 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 40 0.1666 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_Lag1Trend_residue_zeroCycle_residue_AR(64) 96 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_Lag1Trend_residue_zeroCycle_residue_NoAR 32 0.1667 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 88 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_LinearTrend_residue_bestCycle_byL2_residue_NoAR 24 0.9995 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_LinearTrend_residue_zeroCycle_residue_AR(64) 80 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_LinearTrend_residue_zeroCycle_residue_NoAR 16 0.9995 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 88 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 24 0.9986 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_PolyTrend_residue_zeroCycle_residue_AR(64) 80 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE _signal2 _signal2_PolyTrend_residue_zeroCycle_residue_NoAR 16 0.9986 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 104 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 0.9789 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64) 96 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_ConstantTrend_residue_zeroCycle_residue_NoAR 32 0.9789 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 136 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.1631 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_Lag1Trend_residue_zeroCycle_residue_AR(64) 128 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.1667 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9785 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_LinearTrend_residue_zeroCycle_residue_AR(64) 112 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_LinearTrend_residue_zeroCycle_residue_NoAR 48 0.9785 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 0.9776 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_PolyTrend_residue_zeroCycle_residue_AR(64) 112 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_signal2 Diff_signal2_PolyTrend_residue_zeroCycle_residue_NoAR 48 0.9776 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_Lag1Trend_residue_zeroCycle_residue_NoAR 64 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_signal2 RelDiff_signal2_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_ConstantTrend_residue_bestCycle_byL2_residue_AR(64) 104 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_ConstantTrend_residue_bestCycle_byL2_residue_NoAR 40 1.0001 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64) 96 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_ConstantTrend_residue_zeroCycle_residue_NoAR 32 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_Lag1Trend_residue_bestCycle_byL2_residue_AR(64) 136 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_Lag1Trend_residue_bestCycle_byL2_residue_NoAR 72 0.1667 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_Lag1Trend_residue_zeroCycle_residue_AR(64) 128 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_Lag1Trend_residue_zeroCycle_residue_NoAR 64 0.1667 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_LinearTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_LinearTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0001 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_LinearTrend_residue_zeroCycle_residue_AR(64) 112 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_LinearTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_bestCycle_byL2_residue_AR(64) 120 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_bestCycle_byL2_residue_NoAR 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_zeroCycle_residue_AR(64) 112 0.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_signal2 CumSum_signal2_PolyTrend_residue_zeroCycle_residue_NoAR 48 1.0 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 6.96242094039917 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_ConstantTrend_Cycle_AR 72 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_ConstantTrend_Cycle_NoAR 8 0.9999 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_ConstantTrend_NoCycle_AR 64 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_ConstantTrend_NoCycle_NoAR 0 0.9999 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_Lag1Trend_Cycle_AR 104 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_Lag1Trend_Cycle_NoAR 40 0.1666 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_Lag1Trend_NoCycle_AR 96 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_Lag1Trend_NoCycle_NoAR 32 0.1667 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_LinearTrend_Cycle_AR 88 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_LinearTrend_Cycle_NoAR 24 0.9995 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_LinearTrend_NoCycle_AR 80 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_LinearTrend_NoCycle_NoAR 16 0.9995 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_PolyTrend_Cycle_AR 88 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_PolyTrend_Cycle_NoAR 24 0.9986 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_PolyTrend_NoCycle_AR 80 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_PolyTrend_NoCycle_NoAR 16 0.9986 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_ConstantTrend_Cycle_AR 104 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_ConstantTrend_Cycle_NoAR 40 0.9789 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_ConstantTrend_NoCycle_AR 96 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_ConstantTrend_NoCycle_NoAR 32 0.9789 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_Lag1Trend_Cycle_AR 136 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_Lag1Trend_Cycle_NoAR 72 0.1631 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_Lag1Trend_NoCycle_AR 128 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_Lag1Trend_NoCycle_NoAR 64 0.1667 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_LinearTrend_Cycle_AR 120 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_LinearTrend_Cycle_NoAR 56 0.9785 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_LinearTrend_NoCycle_AR 112 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_LinearTrend_NoCycle_NoAR 48 0.9785 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_PolyTrend_Cycle_AR 120 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_PolyTrend_Cycle_NoAR 56 0.9776 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_PolyTrend_NoCycle_AR 112 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_signal2 Difference_PolyTrend_NoCycle_NoAR 48 0.9776 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_ConstantTrend_Cycle_NoAR 40 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_Lag1Trend_Cycle_NoAR 72 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_Lag1Trend_NoCycle_NoAR 64 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_LinearTrend_Cycle_NoAR 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_LinearTrend_NoCycle_NoAR 48 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_PolyTrend_Cycle_NoAR 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_PolyTrend_NoCycle_NoAR 48 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_ConstantTrend_Cycle_AR 104 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_ConstantTrend_Cycle_NoAR 40 1.0001 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_ConstantTrend_NoCycle_AR 96 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_Lag1Trend_Cycle_AR 136 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_Lag1Trend_Cycle_NoAR 72 0.1667 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_Lag1Trend_NoCycle_AR 128 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_Lag1Trend_NoCycle_NoAR 64 0.1667 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_LinearTrend_Cycle_AR 120 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_LinearTrend_Cycle_NoAR 56 1.0001 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_LinearTrend_NoCycle_AR 112 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_LinearTrend_NoCycle_NoAR 48 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_Cycle_AR 120 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_Cycle_NoAR 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_NoCycle_AR 112 0.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_NoCycle_NoAR 48 1.0 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 6.894464492797852 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64)' [ConstantTrend + NoCycle + AR(64)] +INFO:pyaf.std:BEST_DECOMPOSITION '_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64)' [ConstantTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_signal2_ConstantTrend' [ConstantTrend] INFO:pyaf.std:CYCLE_DETAIL '_signal2_ConstantTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64)' [AR(64)] -INFO:pyaf.std:MODEL_MAPE MAPE_Fit=7.92897061269e+55 MAPE_Forecast=0.0 MAPE_Test=0.0 -INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=1.5519 SMAPE_Forecast=0.0 SMAPE_Test=0.0 +INFO:pyaf.std:AUTOREG_DETAIL '_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=2.37869118381e+56 MAPE_Forecast=0.0 MAPE_Test=0.0 +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=1.5471 SMAPE_Forecast=0.0 SMAPE_Test=0.0 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.0 MASE_Forecast=0.0 MASE_Test=0.0 -INFO:pyaf.std:MODEL_L1 L1_Fit=1.81307112862e+58 L1_Forecast=1.30436731973e+77 L1_Test=1.97618498965e+79 -INFO:pyaf.std:MODEL_L2 L2_Fit=5.10302468872e+58 L2_Forecast=6.13165672229e+77 L2_Test=2.39179111061e+79 +INFO:pyaf.std:MODEL_L1 L1_Fit=4.5224710207e+58 L1_Forecast=1.53506145958e+77 L1_Test=3.76710263652e+79 +INFO:pyaf.std:MODEL_L2 L2_Fit=8.47787544823e+58 L2_Forecast=7.08442015479e+77 L2_Test=4.86657496885e+79 INFO:pyaf.std:MODEL_COMPLEXITY 64 INFO:pyaf.std:AR_MODEL_DETAIL_START -INFO:pyaf.std:AR_MODEL_COEFF 1 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag8 -2.6105515134 -INFO:pyaf.std:AR_MODEL_COEFF 2 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag4 1.83020243308 -INFO:pyaf.std:AR_MODEL_COEFF 3 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag9 -1.30627307637 -INFO:pyaf.std:AR_MODEL_COEFF 4 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag2 1.26671824846 -INFO:pyaf.std:AR_MODEL_COEFF 5 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag7 0.970762157849 -INFO:pyaf.std:AR_MODEL_COEFF 6 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag5 0.844482714437 -INFO:pyaf.std:AR_MODEL_COEFF 7 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag10 -0.778554110228 -INFO:pyaf.std:AR_MODEL_COEFF 8 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag63 -0.735097700519 -INFO:pyaf.std:AR_MODEL_COEFF 9 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag20 -0.70108552024 -INFO:pyaf.std:AR_MODEL_COEFF 10 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag14 -0.651798335144 +INFO:pyaf.std:AR_MODEL_COEFF 1 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag4 1.89287390942 +INFO:pyaf.std:AR_MODEL_COEFF 2 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag3 1.71373042165 +INFO:pyaf.std:AR_MODEL_COEFF 3 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag7 1.57761171177 +INFO:pyaf.std:AR_MODEL_COEFF 4 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag8 1.33015240387 +INFO:pyaf.std:AR_MODEL_COEFF 5 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag13 1.31299367282 +INFO:pyaf.std:AR_MODEL_COEFF 6 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag6 -1.27751825953 +INFO:pyaf.std:AR_MODEL_COEFF 7 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag5 -1.26728785717 +INFO:pyaf.std:AR_MODEL_COEFF 8 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag48 0.950201209827 +INFO:pyaf.std:AR_MODEL_COEFF 9 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag9 -0.940843494181 +INFO:pyaf.std:AR_MODEL_COEFF 10 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag2 -0.891617260497 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.630503416061401 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.442212343215942 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.348430871963501 - Transformation ... TestMASE -0 RelDiff_signal2 ... 5.6426 -1 RelDiff_signal2 ... 5.6426 -2 RelDiff_signal2 ... 5.6426 -3 RelDiff_signal2 ... 5.6426 -4 RelDiff_signal2 ... 5.6426 -5 RelDiff_signal2 ... 5.6426 -6 RelDiff_signal2 ... 5.6426 -7 RelDiff_signal2 ... 5.6426 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2843656539916992 + Split Transformation ... TestMAPE TestMASE +0 None RelDiff_signal2 ... 1.0 5.6426 +1 None RelDiff_signal2 ... 1.0 5.6426 +2 None RelDiff_signal2 ... 1.0 5.6426 +3 None RelDiff_signal2 ... 1.0 5.6426 +4 None RelDiff_signal2 ... 1.0 5.6426 -[8 rows x 18 columns] +[5 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None RelDiff_signal2 ... 1.0 5.6426 +1 None RelDiff_signal2 ... 1.0 5.6426 +2 None RelDiff_signal2 ... 1.0 5.6426 +3 None RelDiff_signal2 ... 1.0 5.6426 +4 None RelDiff_signal2 ... 1.0 5.6426 +5 None RelDiff_signal2 ... 1.0 5.6426 +6 None RelDiff_signal2 ... 1.0 5.6426 +7 None RelDiff_signal2 ... 1.0 5.6426 + +[8 rows x 20 columns] Forecast Columns Index(['time', 'signal2', 'RelDiff_signal2', 'row_number', 'time_Normalized', 'RelDiff_signal2_ConstantTrend', 'RelDiff_signal2_ConstantTrend_residue', @@ -231,65 +239,73 @@ memory usage: 18.8 KB 2 2 0.2 1.4400 3 3 0.2 1.7280 4 4 0.2 2.0736 - Transformation ... TestMASE -0 _signal2 ... 0.0000 -1 _signal2 ... 0.0000 -2 _signal2 ... 0.0000 -3 _signal2 ... 0.0000 -4 _signal2 ... 0.0001 -5 _signal2 ... 0.0001 -6 CumSum_signal2 ... 0.0000 -7 Diff_signal2 ... 0.0000 -8 _signal2 ... 0.0000 -9 CumSum_signal2 ... 0.0000 -10 Diff_signal2 ... 0.0000 -11 _signal2 ... 0.0000 -12 CumSum_signal2 ... 0.0000 -13 CumSum_signal2 ... 0.0000 -14 Diff_signal2 ... 0.0000 -15 Diff_signal2 ... 0.0000 -16 CumSum_signal2 ... 0.0001 -17 CumSum_signal2 ... 0.0001 -18 Diff_signal2 ... 0.0001 -19 Diff_signal2 ... 0.0001 -20 CumSum_signal2 ... 0.0000 -21 Diff_signal2 ... 0.0000 -22 CumSum_signal2 ... 0.0000 -23 Diff_signal2 ... 0.0000 -24 Diff_signal2 ... 0.9404 -25 _signal2 ... 0.9404 -26 _signal2 ... 0.9404 -27 CumSum_signal2 ... 0.9404 -28 Diff_signal2 ... 0.9404 -29 CumSum_signal2 ... 0.9404 -30 Diff_signal2 ... 5.6426 -31 Diff_signal2 ... 5.6426 -32 Diff_signal2 ... 5.6426 -33 Diff_signal2 ... 5.6426 -34 Diff_signal2 ... 5.6426 -35 Diff_signal2 ... 5.6426 -36 _signal2 ... 5.6426 -37 _signal2 ... 5.6426 -38 _signal2 ... 5.6426 -39 _signal2 ... 5.6426 -40 _signal2 ... 5.6426 -41 _signal2 ... 5.6426 -42 CumSum_signal2 ... 5.6426 -43 RelDiff_signal2 ... 5.6426 -44 RelDiff_signal2 ... 5.6426 -45 CumSum_signal2 ... 5.6426 -46 CumSum_signal2 ... 5.6426 -47 RelDiff_signal2 ... 5.6426 -48 RelDiff_signal2 ... 5.6426 -49 CumSum_signal2 ... 5.6426 -50 RelDiff_signal2 ... 5.6426 -51 RelDiff_signal2 ... 5.6426 -52 RelDiff_signal2 ... 5.6426 -53 RelDiff_signal2 ... 5.6426 -54 CumSum_signal2 ... 5.6426 -55 CumSum_signal2 ... 5.6426 + Split Transformation ... TestMAPE TestMASE +0 None _signal2 ... 0.0 0.0000 +1 None _signal2 ... 0.0 0.0000 +2 None _signal2 ... 0.0 0.0000 +3 None _signal2 ... 0.0 0.0000 +4 None _signal2 ... 0.0 0.0001 + +[5 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _signal2 ... 0.0000 0.0000 +1 None _signal2 ... 0.0000 0.0000 +2 None _signal2 ... 0.0000 0.0000 +3 None _signal2 ... 0.0000 0.0000 +4 None _signal2 ... 0.0000 0.0001 +5 None _signal2 ... 0.0000 0.0001 +6 None CumSum_signal2 ... 0.0000 0.0000 +7 None Diff_signal2 ... 0.0000 0.0000 +8 None _signal2 ... 0.0000 0.0000 +9 None CumSum_signal2 ... 0.0000 0.0000 +10 None Diff_signal2 ... 0.0000 0.0000 +11 None _signal2 ... 0.0000 0.0000 +12 None CumSum_signal2 ... 0.0000 0.0000 +13 None CumSum_signal2 ... 0.0000 0.0000 +14 None Diff_signal2 ... 0.0000 0.0000 +15 None Diff_signal2 ... 0.0000 0.0000 +16 None CumSum_signal2 ... 0.0000 0.0001 +17 None CumSum_signal2 ... 0.0000 0.0001 +18 None Diff_signal2 ... 0.0000 0.0001 +19 None Diff_signal2 ... 0.0000 0.0001 +20 None CumSum_signal2 ... 0.0000 0.0000 +21 None Diff_signal2 ... 0.0000 0.0000 +22 None CumSum_signal2 ... 0.0000 0.0000 +23 None Diff_signal2 ... 0.0000 0.0000 +24 None Diff_signal2 ... 0.1667 0.9404 +25 None _signal2 ... 0.1667 0.9404 +26 None _signal2 ... 0.1667 0.9404 +27 None CumSum_signal2 ... 0.1667 0.9404 +28 None Diff_signal2 ... 0.1667 0.9404 +29 None CumSum_signal2 ... 0.1667 0.9404 +30 None Diff_signal2 ... 1.0000 5.6426 +31 None Diff_signal2 ... 1.0000 5.6426 +32 None Diff_signal2 ... 1.0000 5.6426 +33 None Diff_signal2 ... 1.0000 5.6426 +34 None Diff_signal2 ... 1.0000 5.6426 +35 None Diff_signal2 ... 1.0000 5.6426 +36 None _signal2 ... 1.0000 5.6426 +37 None _signal2 ... 1.0000 5.6426 +38 None _signal2 ... 1.0000 5.6426 +39 None _signal2 ... 1.0000 5.6426 +40 None _signal2 ... 1.0000 5.6426 +41 None _signal2 ... 1.0000 5.6426 +42 None CumSum_signal2 ... 1.0000 5.6426 +43 None RelDiff_signal2 ... 1.0000 5.6426 +44 None RelDiff_signal2 ... 1.0000 5.6426 +45 None CumSum_signal2 ... 1.0000 5.6426 +46 None CumSum_signal2 ... 1.0000 5.6426 +47 None RelDiff_signal2 ... 1.0000 5.6426 +48 None RelDiff_signal2 ... 1.0000 5.6426 +49 None CumSum_signal2 ... 1.0000 5.6426 +50 None RelDiff_signal2 ... 1.0000 5.6426 +51 None RelDiff_signal2 ... 1.0000 5.6426 +52 None RelDiff_signal2 ... 1.0000 5.6426 +53 None RelDiff_signal2 ... 1.0000 5.6426 +54 None CumSum_signal2 ... 1.0000 5.6426 +55 None CumSum_signal2 ... 1.0000 5.6426 -[56 rows x 18 columns] +[56 rows x 20 columns] Forecast Columns Index(['time', 'signal2', '_signal2', 'row_number', 'time_Normalized', '_signal2_ConstantTrend', '_signal2_ConstantTrend_residue', '_signal2_ConstantTrend_residue_zeroCycle', @@ -342,18 +358,18 @@ Forecasts "Training_Signal_Length": 1200 }, "Model": { - "AR_Model": "AR(64)", + "AR_Model": "AR", "Best_Decomposition": "_signal2_ConstantTrend_residue_zeroCycle_residue_AR(64)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "ConstantTrend" }, "Model_Performance": { "COMPLEXITY": "64", - "MAE": "1.30436731973e+77", + "MAE": "1.53506145958e+77", "MAPE": "0.0", "MASE": "0.0", - "RMSE": "6.13165672229e+77" + "RMSE": "7.08442015479e+77" } } diff --git a/tests/references/xgb_test_air_passengers_xgb.log b/tests/references/xgb_test_air_passengers_xgb.log index 5be63178d..4a5539b92 100644 --- a/tests/references/xgb_test_air_passengers_xgb.log +++ b/tests/references/xgb_test_air_passengers_xgb.log @@ -1,13 +1,13 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.273020029067993 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.194144248962402 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [LinearTrend + NoCycle + AR(33)] +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_AirPassengers_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [AR(33)] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0349 MAPE_Forecast=0.0217 MAPE_Test=0.0541 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0346 SMAPE_Forecast=0.022 SMAPE_Test=0.0558 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.3563 MASE_Forecast=0.2287 MASE_Test=0.495 @@ -27,17 +27,17 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_LinearTrend_residue_zeroCycle_resi INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag16 -0.16495284213 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.849103927612305 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.692190885543823 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8560726642608643 - Transformation ... TestMAPE -0 Diff_AirPassengers ... 0.0402 -1 _AirPassengers ... 0.0541 -2 Diff_AirPassengers ... 0.0265 -3 _AirPassengers ... 0.0596 -4 _AirPassengers ... 0.0281 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8375358581542969 + Split Transformation ... ForecastMAPE TestMAPE +0 None Diff_AirPassengers ... 0.0205 0.0402 +1 None _AirPassengers ... 0.0217 0.0541 +2 None Diff_AirPassengers ... 0.0244 0.0265 +3 None _AirPassengers ... 0.0254 0.0596 +4 None _AirPassengers ... 0.0267 0.0281 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_LinearTrend', '_AirPassengers_LinearTrend_residue', @@ -109,10 +109,10 @@ Forecasts "Training_Signal_Length": 132 }, "Model": { - "AR_Model": "AR(33)", + "AR_Model": "AR", "Best_Decomposition": "_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { @@ -129,7 +129,7 @@ Forecasts -{"time":{"120":1959.0,"121":1959.0833333333,"122":1959.1666666667,"123":1959.25,"124":1959.3333333333,"125":1959.4166666667,"126":1959.5,"127":1959.5833333333,"128":1959.6666666667,"129":1959.75,"130":1959.8333333333,"131":1959.9166666667,"132":1960.0,"133":1960.0833333333,"134":1960.1666666667,"135":1960.25,"136":1960.3333333333,"137":1960.4166666667,"138":1960.5,"139":1960.5833333333,"140":1960.6666666667,"141":1960.75,"142":1960.8333333333,"143":1960.9166666667},"AirPassengers":{"120":360.0,"121":342.0,"122":406.0,"123":396.0,"124":420.0,"125":472.0,"126":548.0,"127":559.0,"128":463.0,"129":407.0,"130":362.0,"131":405.0,"132":null,"133":null,"134":null,"135":null,"136":null,"137":null,"138":null,"139":null,"140":null,"141":null,"142":null,"143":null},"AirPassengers_Forecast":{"120":336.76433931,"121":322.8158768976,"122":370.1970011391,"123":378.032857026,"124":398.9335945668,"125":490.9916896704,"126":527.6050111738,"127":547.2692898967,"128":447.2569355178,"129":389.1498397716,"130":336.5874463251,"131":365.0545119965,"132":404.1927658782,"133":362.2723575753,"134":407.3659989041,"135":392.3773701384,"136":426.0082038065,"137":494.6325800918,"138":561.1241745773,"139":558.3950905274,"140":437.9865222534,"141":374.1309595368,"142":319.9068836751,"143":355.980727},"AirPassengers_Forecast_Lower_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":380.728110585,"133":325.1207093518,"134":357.9663450975,"135":272.4070322436,"136":98.7776096737,"137":-219.4948761306,"138":-928.2586710993,"139":-2259.4796258236,"140":-4091.7357686501,"141":-5051.1682697063,"142":-4712.3577817419,"143":-7009.1109734824},"AirPassengers_Forecast_Upper_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":427.6574211713,"133":399.4240057988,"134":456.7656527106,"135":512.3477080331,"136":753.2387979394,"137":1208.7600363143,"138":2050.507020254,"139":3376.2698068784,"140":4967.708813157,"141":5799.4301887799,"142":5352.171549092,"143":7721.0724274824}} +{"time":{"120":1959.0,"121":1959.0833333333,"122":1959.1666666667,"123":1959.25,"124":1959.3333333333,"125":1959.4166666667,"126":1959.5,"127":1959.5833333333,"128":1959.6666666667,"129":1959.75,"130":1959.8333333333,"131":1959.9166666667,"132":1960.0,"133":1960.0833333333,"134":1960.1666666667,"135":1960.25,"136":1960.3333333333,"137":1960.4166666667,"138":1960.5,"139":1960.5833333333,"140":1960.6666666667,"141":1960.75,"142":1960.8333333333,"143":1960.9166666667},"AirPassengers":{"120":360.0,"121":342.0,"122":406.0,"123":396.0,"124":420.0,"125":472.0,"126":548.0,"127":559.0,"128":463.0,"129":407.0,"130":362.0,"131":405.0,"132":null,"133":null,"134":null,"135":null,"136":null,"137":null,"138":null,"139":null,"140":null,"141":null,"142":null,"143":null},"AirPassengers_Forecast":{"120":336.76433931,"121":322.8158768976,"122":370.1970011391,"123":378.032857026,"124":398.9335945668,"125":490.9916896704,"126":527.6050111738,"127":547.2692898967,"128":447.2569355178,"129":389.1498397716,"130":336.5874463251,"131":365.0545119965,"132":404.1927658782,"133":362.2723575753,"134":407.3659989041,"135":392.3773701384,"136":426.0082038065,"137":494.6325800918,"138":561.1241745773,"139":558.3950905274,"140":437.9865222534,"141":374.1309595368,"142":319.9068836751,"143":355.980727},"AirPassengers_Forecast_Lower_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":380.728110585,"133":325.1207093518,"134":357.9663450975,"135":272.4070322436,"136":98.7776096737,"137":-219.4948761306,"138":-928.2586710994,"139":-2259.4796258236,"140":-4091.7357686502,"141":-5051.1682697064,"142":-4712.357781742,"143":-7009.1109734824},"AirPassengers_Forecast_Upper_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":427.6574211713,"133":399.4240057988,"134":456.7656527106,"135":512.3477080331,"136":753.2387979394,"137":1208.7600363143,"138":2050.507020254,"139":3376.2698068785,"140":4967.708813157,"141":5799.43018878,"142":5352.1715490921,"143":7721.0724274824}} diff --git a/tests/references/xgb_test_air_passengers_xgb_only.log b/tests/references/xgb_test_air_passengers_xgb_only.log index c59a62467..fd054f466 100644 --- a/tests/references/xgb_test_air_passengers_xgb_only.log +++ b/tests/references/xgb_test_air_passengers_xgb_only.log @@ -1,45 +1,45 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 32 0.201 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 24 0.2009 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 64 0.0589 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 56 0.0573 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 48 0.0831 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 40 0.0846 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 48 0.1205 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 40 0.1207 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 64 0.0931 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 56 0.0857 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 96 0.0831 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 88 0.0733 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.0898 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 0.0865 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.0679 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 0.068 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 64 2183870.0315 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 56 2183869.5422 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 96 2183870.1534 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 88 2183870.0854 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 80 2183869.9651 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 2183870.0849 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 2183869.9651 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 2183869.9676 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 64 0.9788 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 96 0.0994 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 88 0.0976 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.4956 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 0.4856 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.2038 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 0.175 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.257278919219971 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_ConstantTrend_Cycle_XGB 32 0.201 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_ConstantTrend_NoCycle_XGB 24 0.2009 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_Lag1Trend_Cycle_XGB 64 0.0589 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_Lag1Trend_NoCycle_XGB 56 0.0573 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_LinearTrend_Cycle_XGB 48 0.0831 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_LinearTrend_NoCycle_XGB 40 0.0846 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_PolyTrend_Cycle_XGB 48 0.1205 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_PolyTrend_NoCycle_XGB 40 0.1207 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_ConstantTrend_Cycle_XGB 64 0.0931 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_ConstantTrend_NoCycle_XGB 56 0.0857 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_Lag1Trend_Cycle_XGB 96 0.0831 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_Lag1Trend_NoCycle_XGB 88 0.0733 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_LinearTrend_Cycle_XGB 80 0.0898 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_LinearTrend_NoCycle_XGB 72 0.0865 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_PolyTrend_Cycle_XGB 80 0.0679 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_PolyTrend_NoCycle_XGB 72 0.068 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_ConstantTrend_Cycle_XGB 64 2183870.0315 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_ConstantTrend_NoCycle_XGB 56 2183869.5422 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_Lag1Trend_Cycle_XGB 96 2183870.1534 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_Lag1Trend_NoCycle_XGB 88 2183870.0854 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_LinearTrend_Cycle_XGB 80 2183869.9651 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_LinearTrend_NoCycle_XGB 72 2183870.0849 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_PolyTrend_Cycle_XGB 80 2183869.9651 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_PolyTrend_NoCycle_XGB 72 2183869.9676 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_ConstantTrend_Cycle_XGB 64 0.9788 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_ConstantTrend_NoCycle_XGB 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_Lag1Trend_Cycle_XGB 96 0.0994 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_Lag1Trend_NoCycle_XGB 88 0.0976 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_Cycle_XGB 80 0.4956 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_NoCycle_XGB 72 0.4856 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_Cycle_XGB 80 0.2038 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_NoCycle_XGB 72 0.175 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.219456195831299 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [Lag1Trend + NoCycle + XGB(33)] +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [Lag1Trend + NoCycle + XGB] INFO:pyaf.std:TREND_DETAIL '_AirPassengers_Lag1Trend' [Lag1Trend] INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [XGB(33)] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [XGB] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0462 MAPE_Forecast=0.0573 MAPE_Test=0.0605 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0463 SMAPE_Forecast=0.0567 SMAPE_Test=0.0604 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.509 MASE_Forecast=0.5932 MASE_Test=0.5862 @@ -49,17 +49,22 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.958983659744263 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.759567022323608 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8739125728607178 - Transformation ... TestMASE -0 _AirPassengers ... 0.5862 -1 _AirPassengers ... 0.6021 -2 Diff_AirPassengers ... 2.0829 -3 Diff_AirPassengers ... 1.8815 -4 Diff_AirPassengers ... 0.7374 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.847877025604248 + Split Transformation ... TestMAPE TestMASE +0 None _AirPassengers ... 0.0605 0.5862 +1 None _AirPassengers ... 0.0623 0.6021 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _AirPassengers ... 0.0605 0.5862 +1 None _AirPassengers ... 0.0623 0.6021 +2 None Diff_AirPassengers ... 0.2069 2.0829 +3 None Diff_AirPassengers ... 0.1862 1.8815 +4 None Diff_AirPassengers ... 0.0801 0.7374 + +[5 rows x 20 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_Lag1Trend', '_AirPassengers_Lag1Trend_residue', @@ -131,10 +136,10 @@ Forecasts "Training_Signal_Length": 132 }, "Model": { - "AR_Model": "XGB(33)", + "AR_Model": "XGB", "Best_Decomposition": "_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "Lag1Trend" }, "Model_Performance": { diff --git a/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log b/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log index 4e3bbcd97..8c7323901 100644 --- a/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log +++ b/tests/references/xgb_test_air_passengers_xgb_only_with_custom_options.log @@ -1,45 +1,45 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 32 0.2682 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 24 0.268 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 64 0.0719 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 56 0.07 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 48 0.0898 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 40 0.0967 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 48 0.137 -INFO:pyaf.std:collectPerformanceIndices : MAPE _AirPassengers _AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 40 0.1383 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 64 0.1083 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 56 0.1182 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 96 0.1346 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 88 0.1662 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.1186 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 0.1123 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.0842 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_AirPassengers Diff_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 0.0827 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 64 2183870.2071 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 56 2183869.37 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 96 2183870.0836 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 88 2183870.8022 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 80 2183870.2071 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 2183870.0849 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 2183869.9651 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_AirPassengers RelDiff_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 2183870.1427 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_ConstantTrend_residue_bestCycle_byL2_residue_XGB(33) 64 0.9788 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_ConstantTrend_residue_zeroCycle_residue_XGB(33) 56 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_Lag1Trend_residue_bestCycle_byL2_residue_XGB(33) 96 0.089 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33) 88 0.0951 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.4956 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_LinearTrend_residue_zeroCycle_residue_XGB(33) 72 0.4856 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_bestCycle_byL2_residue_XGB(33) 80 0.1978 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_AirPassengers CumSum_AirPassengers_PolyTrend_residue_zeroCycle_residue_XGB(33) 72 0.1899 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.180395126342773 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_ConstantTrend_Cycle_XGB 32 0.2682 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_ConstantTrend_NoCycle_XGB 24 0.268 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_Lag1Trend_Cycle_XGB 64 0.0719 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_Lag1Trend_NoCycle_XGB 56 0.07 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_LinearTrend_Cycle_XGB 48 0.0898 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_LinearTrend_NoCycle_XGB 40 0.0967 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_PolyTrend_Cycle_XGB 48 0.137 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _AirPassengers NoTransf_PolyTrend_NoCycle_XGB 40 0.1383 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_ConstantTrend_Cycle_XGB 64 0.1083 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_ConstantTrend_NoCycle_XGB 56 0.1182 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_Lag1Trend_Cycle_XGB 96 0.1346 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_Lag1Trend_NoCycle_XGB 88 0.1662 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_LinearTrend_Cycle_XGB 80 0.1186 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_LinearTrend_NoCycle_XGB 72 0.1123 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_PolyTrend_Cycle_XGB 80 0.0842 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_AirPassengers Difference_PolyTrend_NoCycle_XGB 72 0.0827 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_ConstantTrend_Cycle_XGB 64 2183870.2071 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_ConstantTrend_NoCycle_XGB 56 2183869.37 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_Lag1Trend_Cycle_XGB 96 2183870.0836 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_Lag1Trend_NoCycle_XGB 88 2183870.8022 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_LinearTrend_Cycle_XGB 80 2183870.2071 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_LinearTrend_NoCycle_XGB 72 2183870.0849 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_PolyTrend_Cycle_XGB 80 2183869.9651 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_AirPassengers RelativeDifference_PolyTrend_NoCycle_XGB 72 2183870.1427 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_ConstantTrend_Cycle_XGB 64 0.9788 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_ConstantTrend_NoCycle_XGB 56 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_Lag1Trend_Cycle_XGB 96 0.089 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_Lag1Trend_NoCycle_XGB 88 0.0951 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_Cycle_XGB 80 0.4956 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_NoCycle_XGB 72 0.4856 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_Cycle_XGB 80 0.1978 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_NoCycle_XGB 72 0.1899 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.117852210998535 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [Lag1Trend + NoCycle + XGB(33)] +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [Lag1Trend + NoCycle + XGB] INFO:pyaf.std:TREND_DETAIL '_AirPassengers_Lag1Trend' [Lag1Trend] INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [XGB(33)] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)' [XGB] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0582 MAPE_Forecast=0.07 MAPE_Test=0.0748 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0584 SMAPE_Forecast=0.0692 SMAPE_Test=0.0747 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6593 MASE_Forecast=0.7168 MASE_Test=0.718 @@ -49,17 +49,22 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.8551366329193115 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.799479007720947 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8866302967071533 - Transformation ... TestMASE -0 _AirPassengers ... 0.7180 -1 _AirPassengers ... 0.7656 -2 Diff_AirPassengers ... 1.6280 -3 Diff_AirPassengers ... 2.1189 -4 CumSum_AirPassengers ... 0.9696 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8851542472839355 + Split Transformation ... TestMAPE TestMASE +0 None _AirPassengers ... 0.0748 0.7180 +1 None _AirPassengers ... 0.0797 0.7656 -[5 rows x 18 columns] +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _AirPassengers ... 0.0748 0.7180 +1 None _AirPassengers ... 0.0797 0.7656 +2 None Diff_AirPassengers ... 0.1568 1.6280 +3 None Diff_AirPassengers ... 0.2078 2.1189 +4 None CumSum_AirPassengers ... 0.1013 0.9696 + +[5 rows x 20 columns] Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', 'time_Normalized', '_AirPassengers_Lag1Trend', '_AirPassengers_Lag1Trend_residue', @@ -131,10 +136,10 @@ Forecasts "Training_Signal_Length": 132 }, "Model": { - "AR_Model": "XGB(33)", + "AR_Model": "XGB", "Best_Decomposition": "_AirPassengers_Lag1Trend_residue_zeroCycle_residue_XGB(33)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "Lag1Trend" }, "Model_Performance": { diff --git a/tests/references/xgb_test_ozone_xgb.log b/tests/references/xgb_test_ozone_xgb.log index b8960127a..ead4d77c6 100644 --- a/tests/references/xgb_test_ozone_xgb.log +++ b/tests/references/xgb_test_ozone_xgb.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.174232006072998 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.7328941822052 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094 @@ -33,17 +33,17 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag2 INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.116122914779 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.419776439666748 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.004397630691528 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9782602787017822 - Transformation ... TestMAPE -0 _Ozone ... 0.1740 -1 _Ozone ... 0.3430 -2 _Ozone ... 0.2567 -3 _Ozone ... 0.2567 -4 Diff_Ozone ... 0.2262 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8963868618011475 + Split Transformation ... ForecastMAPE TestMAPE +0 None _Ozone ... 0.1595 0.1740 +1 None _Ozone ... 0.1657 0.3430 +2 None _Ozone ... 0.1796 0.2567 +3 None _Ozone ... 0.1796 0.2567 +4 None Diff_Ozone ... 0.1800 0.2262 -[5 rows x 6 columns] +[5 rows x 8 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -96,10 +96,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "AR(51)", + "AR_Model": "AR", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/xgb_test_ozone_xgb_exogenous.log b/tests/references/xgb_test_ozone_xgb_exogenous.log index 2d184ad01..65fd4a793 100644 --- a/tests/references/xgb_test_ozone_xgb_exogenous.log +++ b/tests/references/xgb_test_ozone_xgb_exogenous.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.861405849456787 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.530723810195923 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [LinearTrend + NoCycle + XGB(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [LinearTrend + NoCycle + XGB] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [XGB(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [XGB] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.212 MAPE_Forecast=0.1793 MAPE_Test=0.1604 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1829 SMAPE_Forecast=0.1671 SMAPE_Test=0.1451 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7758 MASE_Forecast=0.6539 MASE_Test=0.7257 @@ -23,9 +23,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.38459324836731 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.116415977478027 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0016624927520752 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9203832149505615 Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -77,10 +77,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "XGB(51)", + "AR_Model": "XGB", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/xgb_test_ozone_xgb_only.log b/tests/references/xgb_test_ozone_xgb_only.log index 00eb8a728..42f5f3bda 100644 --- a/tests/references/xgb_test_ozone_xgb_only.log +++ b/tests/references/xgb_test_ozone_xgb_only.log @@ -5,63 +5,63 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 42 0.2902 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_bestCycle_byL2_residue_XGB(51) 46 0.2902 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_ConstantTrend_residue_zeroCycle_residue_XGB(51) 38 0.3515 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_XGB(51) 74 0.2026 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_bestCycle_byL2_residue_XGB(51) 78 0.2026 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_Lag1Trend_residue_zeroCycle_residue_XGB(51) 70 0.2495 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 58 0.1709 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_bestCycle_byL2_residue_XGB(51) 62 0.1709 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51) 54 0.1793 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 58 0.2314 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_bestCycle_byL2_residue_XGB(51) 62 0.2314 -INFO:pyaf.std:collectPerformanceIndices : MAPE _Ozone _Ozone_PolyTrend_residue_zeroCycle_residue_XGB(51) 54 0.2766 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 74 10.8814 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_XGB(51) 78 10.8814 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_ConstantTrend_residue_zeroCycle_residue_XGB(51) 70 12.0953 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_XGB(51) 106 11.2034 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_XGB(51) 110 10.3313 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_Lag1Trend_residue_zeroCycle_residue_XGB(51) 102 10.5634 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 10.523 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_XGB(51) 94 10.523 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51) 86 11.5802 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 11.1644 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_XGB(51) 94 11.1644 -INFO:pyaf.std:collectPerformanceIndices : MAPE Diff_Ozone Diff_Ozone_PolyTrend_residue_zeroCycle_residue_XGB(51) 86 12.1129 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 74 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_XGB(51) 78 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_ConstantTrend_residue_zeroCycle_residue_XGB(51) 70 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_XGB(51) 106 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_XGB(51) 110 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_Lag1Trend_residue_zeroCycle_residue_XGB(51) 102 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_bestCycle_byL2_residue_XGB(51) 94 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51) 86 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_bestCycle_byL2_residue_XGB(51) 94 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE RelDiff_Ozone RelDiff_Ozone_PolyTrend_residue_zeroCycle_residue_XGB(51) 86 53955112.5074 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 74 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_bestCycle_byL2_residue_XGB(51) 78 2.0574 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_ConstantTrend_residue_zeroCycle_residue_XGB(51) 70 1.0 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_Seasonal_MonthOfYear_residue_XGB(51) 106 0.2239 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_bestCycle_byL2_residue_XGB(51) 110 0.2239 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_Lag1Trend_residue_zeroCycle_residue_XGB(51) 102 0.213 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 0.4456 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_bestCycle_byL2_residue_XGB(51) 94 0.4069 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51) 86 0.3504 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_Seasonal_MonthOfYear_residue_XGB(51) 90 0.8669 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_bestCycle_byL2_residue_XGB(51) 94 1.0407 -INFO:pyaf.std:collectPerformanceIndices : MAPE CumSum_Ozone CumSum_Ozone_PolyTrend_residue_zeroCycle_residue_XGB(51) 86 0.6656 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.201188325881958 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_XGB 42 0.2902 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_Cycle_XGB 46 0.2902 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_ConstantTrend_NoCycle_XGB 38 0.3515 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_XGB 74 0.2026 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_Cycle_XGB 78 0.2026 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_Lag1Trend_NoCycle_XGB 70 0.2495 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_XGB 58 0.1709 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_Cycle_XGB 62 0.1709 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_LinearTrend_NoCycle_XGB 54 0.1793 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_XGB 58 0.2314 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_Cycle_XGB 62 0.2314 +INFO:pyaf.std:collectPerformanceIndices : MAPE None _Ozone NoTransf_PolyTrend_NoCycle_XGB 54 0.2766 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_XGB 74 10.8814 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_Cycle_XGB 78 10.8814 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_ConstantTrend_NoCycle_XGB 70 12.0953 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_XGB 106 11.2034 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_Cycle_XGB 110 10.3313 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_Lag1Trend_NoCycle_XGB 102 10.5634 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_XGB 90 10.523 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_Cycle_XGB 94 10.523 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_LinearTrend_NoCycle_XGB 86 11.5802 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_XGB 90 11.1644 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_Cycle_XGB 94 11.1644 +INFO:pyaf.std:collectPerformanceIndices : MAPE None Diff_Ozone Difference_PolyTrend_NoCycle_XGB 86 12.1129 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_XGB 74 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_XGB 78 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_XGB 70 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_XGB 106 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_XGB 110 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_XGB 102 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_XGB 90 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_XGB 94 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_XGB 86 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_XGB 90 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_XGB 94 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_XGB 86 53955112.5074 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_XGB 74 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_Cycle_XGB 78 2.0574 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_ConstantTrend_NoCycle_XGB 70 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_XGB 106 0.2239 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_Cycle_XGB 110 0.2239 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lag1Trend_NoCycle_XGB 102 0.213 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_XGB 90 0.4456 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_Cycle_XGB 94 0.4069 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_LinearTrend_NoCycle_XGB 86 0.3504 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_XGB 90 0.8669 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_XGB 94 1.0407 +INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_XGB 86 0.6656 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.817747116088867 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [LinearTrend + NoCycle + XGB(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [LinearTrend + NoCycle + XGB] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [XGB(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)' [XGB] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.212 MAPE_Forecast=0.1793 MAPE_Test=0.1604 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1829 SMAPE_Forecast=0.1671 SMAPE_Test=0.1451 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7758 MASE_Forecast=0.6539 MASE_Test=0.7257 @@ -71,17 +71,23 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.43031120300293 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.083440780639648 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.019831895828247 - Transformation ... TestMASE -0 _Ozone ... 1.1276 -1 _Ozone ... 1.1276 -2 _Ozone ... 0.7257 -3 _Ozone ... 1.1097 -4 _Ozone ... 1.1097 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.909374475479126 + Split Transformation ... TestMAPE TestMASE +2 None _Ozone ... 0.1604 0.7257 +0 None _Ozone ... 0.2179 1.1276 +1 None _Ozone ... 0.2179 1.1276 -[5 rows x 18 columns] +[3 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 None _Ozone ... 0.2179 1.1276 +1 None _Ozone ... 0.2179 1.1276 +2 None _Ozone ... 0.1604 0.7257 +3 None _Ozone ... 0.2345 1.1097 +4 None _Ozone ... 0.2345 1.1097 + +[5 rows x 20 columns] Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_zeroCycle', @@ -134,10 +140,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "XGB(51)", + "AR_Model": "XGB", "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_XGB(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { diff --git a/tests/references/xgb_test_ozone_xgbx_exogenous.log b/tests/references/xgb_test_ozone_xgbx_exogenous.log index b2faac6ec..344e0873a 100644 --- a/tests/references/xgb_test_ozone_xgbx_exogenous.log +++ b/tests/references/xgb_test_ozone_xgbx_exogenous.log @@ -5,15 +5,15 @@ INFO:pyaf.std:START_TRAINING 'Ozone' 2 1955-03 1955 3 AS P_S 3.6 1955-03-01 3 1955-04 1955 4 AT P_U 5.0 1955-04-01 4 1955-05 1955 5 AU P_V 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 30.293161869049072 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 28.40400981903076 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' -INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGBX(51)' [LinearTrend + Seasonal_MonthOfYear + XGBX(51)] +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGBX(51)' [LinearTrend + Seasonal_MonthOfYear + XGBX] INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear' [Seasonal_MonthOfYear] -INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGBX(51)' [XGBX(51)] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGBX(51)' [XGBX] INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1669 MAPE_Forecast=0.1689 MAPE_Test=0.2121 INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.153 SMAPE_Forecast=0.1714 SMAPE_Test=0.2092 INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6803 MASE_Forecast=0.6724 MASE_Test=1.09 @@ -23,9 +23,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 58 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 13.410587310791016 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 12.675848722457886 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.9472992420196533 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 3.690765380859375 Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', '_Ozone_LinearTrend_residue_Seasonal_MonthOfYear', @@ -79,10 +79,10 @@ Forecasts "Training_Signal_Length": 204 }, "Model": { - "AR_Model": "XGBX(51)", + "AR_Model": "XGBX", "Best_Decomposition": "_Ozone_LinearTrend_residue_Seasonal_MonthOfYear_residue_XGBX(51)", "Cycle": "Seasonal_MonthOfYear", - "Signal_Transoformation": "None", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { From 02d07225d5f0e462a538ed838b7f6b8d41486529 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 09:31:19 +0200 Subject: [PATCH 20/28] Enable cross validation in slow mode. --- TS/Options.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/TS/Options.py b/TS/Options.py index 60a6f0ead..03b52733d 100644 --- a/TS/Options.py +++ b/TS/Options.py @@ -148,6 +148,8 @@ def enable_slow_mode(self): self.mMaxAROrder = 64; self.mFilterSeasonals = False + # enable cross validation + self.mCrossValidationOptions.mMethod = "TSCV"; def enable_fast_mode(self): self.mQuantiles = [5, 10, 20]; # quintiles, deciles, and vingtiles;) From 5349be4298a5df21bed0e618ab7cb6391d854ab7 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 09:32:04 +0200 Subject: [PATCH 21/28] Added some tests --- .../test_air_passengers_slow_mode.py | 48 +++++++++++++++++ .../cross_validation/test_ozone_slow_mode.py | 52 +++++++++++++++++++ 2 files changed, 100 insertions(+) create mode 100644 tests/cross_validation/test_air_passengers_slow_mode.py create mode 100644 tests/cross_validation/test_ozone_slow_mode.py diff --git a/tests/cross_validation/test_air_passengers_slow_mode.py b/tests/cross_validation/test_air_passengers_slow_mode.py new file mode 100644 index 000000000..49e8fa14e --- /dev/null +++ b/tests/cross_validation/test_air_passengers_slow_mode.py @@ -0,0 +1,48 @@ +import pandas as pd +import numpy as np + +import pyaf.ForecastEngine as autof +import pyaf.Bench.TS_datasets as tsds + +b1 = tsds.load_airline_passengers() +df = b1.mPastData + +df.head() + + +lEngine = autof.cForecastEngine() +lEngine + +H = b1.mHorizon; +lEngine.mOptions.enable_slow_mode(); +# lEngine.mOptions.mCrossValidationOptions.mMethod = "TSCV"; + +lEngine.mOptions.mParallelMode = True; +lEngine.train(df , b1.mTimeVar , b1.mSignalVar, H); +lEngine.getModelInfo(); +print(lEngine.mSignalDecomposition.mTrPerfDetails.head()); + +lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mResolution + +lEngine.standardPlots(name = "outputs/my_airline_passengers_slow_mode") + +dfapp_in = df.copy(); +dfapp_in.tail() + +#H = 12 +dfapp_out = lEngine.forecast(dfapp_in, H); +dfapp_out.tail(2 * H) +print("Forecast Columns " , dfapp_out.columns); +lForecastColumnName = b1.mSignalVar + '_Forecast' +Forecast_DF = dfapp_out[[b1.mTimeVar , b1.mSignalVar, lForecastColumnName , lForecastColumnName + '_Lower_Bound', lForecastColumnName + '_Upper_Bound' ]] +print(Forecast_DF.info()) +print("Forecasts\n" , Forecast_DF.tail(2*H)); + +print("\n\n") +print(lEngine.to_json()); +print("\n\n") +print("\n\n") +print(Forecast_DF.tail(2*H).to_json(date_format='iso')) +print("\n\n") + +# lEngine.standardPlots(name = "outputs/airline_passengers") diff --git a/tests/cross_validation/test_ozone_slow_mode.py b/tests/cross_validation/test_ozone_slow_mode.py new file mode 100644 index 000000000..6d025974b --- /dev/null +++ b/tests/cross_validation/test_ozone_slow_mode.py @@ -0,0 +1,52 @@ +from __future__ import absolute_import + +import pandas as pd +import numpy as np + + +import pyaf.ForecastEngine as autof +import pyaf.Bench.TS_datasets as tsds + + +b1 = tsds.load_ozone() +df = b1.mPastData + +#df.tail(10) +#df[:-10].tail() +#df[:-10:-1] +#df.describe() + + +lEngine = autof.cForecastEngine() +lEngine + +H = b1.mHorizon; +lEngine.mOptions.enable_slow_mode(); +# lEngine.mOptions.mCrossValidationOptions.mMethod = "TSCV"; +lEngine.train(df , b1.mTimeVar , b1.mSignalVar, H); +lEngine.getModelInfo(); +print(lEngine.mSignalDecomposition.mTrPerfDetails.head()); + +lEngine.mSignalDecomposition.mBestModel.mTimeInfo.mResolution + +lEngine.standardPlots("outputs/my_ozone_slow_mode"); + +dfapp_in = df.copy(); +dfapp_in.tail() + +#H = 12 +dfapp_out = lEngine.forecast(dfapp_in, H); +#dfapp_out.to_csv("outputs/ozone_apply_out.csv") +dfapp_out.tail(2 * H) +print("Forecast Columns " , dfapp_out.columns); +Forecast_DF = dfapp_out[[b1.mTimeVar , b1.mSignalVar, b1.mSignalVar + '_Forecast']] +print(Forecast_DF.info()) +print("Forecasts\n" , Forecast_DF.tail(H)); + +print("\n\n") +print(lEngine.to_json()); +print("\n\n") +print("\n\n") +print(Forecast_DF.tail(2*H).to_json(date_format='iso')) +print("\n\n") + From c401915aa3cda7af74520cf2c7d6dce44361118d Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 09:38:36 +0200 Subject: [PATCH 22/28] Add the possibility to use cross validation when training PyAF models #105 Added a jupyter notebook with ozone case --- docs/PyAF_cross_validation_ozone.ipynb | 365 +++++++++++++++++++++++++ 1 file changed, 365 insertions(+) create mode 100644 docs/PyAF_cross_validation_ozone.ipynb diff --git a/docs/PyAF_cross_validation_ozone.ipynb b/docs/PyAF_cross_validation_ozone.ipynb new file mode 100644 index 000000000..4839421f6 --- /dev/null +++ b/docs/PyAF_cross_validation_ozone.ipynb @@ -0,0 +1,365 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# remove the notebook root logger.\\n\",\n", + "import logging\n", + "logger = logging.getLogger()\n", + "logger.handlers = []\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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MonthOzone
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" + ], + "text/plain": [ + " Month Ozone\n", + "0 1955-01-01 2.7\n", + "1 1955-02-01 2.0\n", + "2 1955-03-01 3.6\n", + "3 1955-04-01 5.0\n", + "4 1955-05-01 6.5" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "\n", + "csvfile_link = \"https://raw.githubusercontent.com/antoinecarme/TimeSeriesData/master/ozone-la.csv\"\n", + "ozone_dataframe = pd.read_csv(csvfile_link);\n", + "import datetime\n", + "ozone_dataframe['Month'] = ozone_dataframe['Month'].apply(lambda x : datetime.datetime.strptime(x, \"%Y-%m\"))\n", + "ozone_dataframe.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def create_model(iActivateCrossVal , iFolds):\n", + " import pyaf.ForecastEngine as autof\n", + " lEngine = autof.cForecastEngine()\n", + " if(iActivateCrossVal):\n", + " lEngine.mOptions.mCrossValidationOptions.mMethod = \"TSCV\";\n", + " lEngine.mOptions.mCrossValidationOptions.mNbFolds = iFolds\n", + " lEngine.train(ozone_dataframe[:-12] , 'Month' , 'Ozone', 12);\n", + " lEngine.getModelInfo();\n", + " return lEngine" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyaf.std:START_TRAINING 'Ozone'\n", + "INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 3.2598254680633545\n", + "INFO:pyaf.std:TIME_DETAIL TimeVariable='Month' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12\n", + "INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.8357843137254903 StdDev=1.4915592159401185\n", + "INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.8357843137254903 StdDev=1.4915592159401185\n", + "INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_'\n", + "INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR]\n", + "INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend]\n", + "INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle]\n", + "INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR]\n", + "INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1641 MAPE_Forecast=0.1595 MAPE_Test=0.174\n", + "INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1547 SMAPE_Forecast=0.178 SMAPE_Test=0.182\n", + "INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6981 MASE_Forecast=0.6782 MASE_Test=0.9094\n", + "INFO:pyaf.std:MODEL_L1 L1_Fit=0.613597862427259 L1_Forecast=0.5265316758013038 L1_Test=0.42992050508902374\n", + "INFO:pyaf.std:MODEL_L2 L2_Fit=0.8095700031756019 L2_Forecast=0.7315688649507155 L2_Test=0.5519432695595545\n", + "INFO:pyaf.std:MODEL_COMPLEXITY 54\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_START\n", + "INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.43496344136033716\n", + "INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.19036685617533314\n", + "INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.16906339635225448\n", + "INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.16128205795389378\n", + "INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.1409304557420878\n", + "INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag32 -0.13104711303046362\n", + "INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag48 0.12661310040481855\n", + "INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag36 0.12091470037102227\n", + "INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag22 0.11845464489045818\n", + "INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.11612291477947771\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_END\n", + "INFO:pyaf.std:START_TRAINING 'Ozone'\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.4, 0.2, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.4, 0.2, 0.0) 1.536059856414795\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.6000000000000001, 0.2, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.6000000000000001, 0.2, 0.0) 2.0161941051483154\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.8, 0.2, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.8, 0.2, 0.0) 1.9678521156311035\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _Ozone 5.536447763442993\n", + "INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.632225275039673\n", + "INFO:pyaf.std:TIME_DETAIL TimeVariable='Month' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1961-09-01T00:00:00.000000 TimeDelta= Horizon=12\n", + "INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.8357843137254903 StdDev=1.4915592159401185\n", + "INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.8357843137254903 StdDev=1.4915592159401185\n", + "INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_'\n", + "INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR]\n", + "INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend]\n", + "INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle]\n", + "INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR]\n", + "INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1621 MAPE_Forecast=0.1965 MAPE_Test=None\n", + "INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1516 SMAPE_Forecast=0.193 SMAPE_Test=None\n", + "INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7508 MASE_Forecast=0.7861 MASE_Test=None\n", + "INFO:pyaf.std:MODEL_L1 L1_Fit=0.6944497955657216 L1_Forecast=0.6168038613298956 L1_Test=None\n", + "INFO:pyaf.std:MODEL_L2 L2_Fit=0.9266422203586209 L2_Forecast=0.7587248745833636 L2_Test=None\n", + "INFO:pyaf.std:MODEL_COMPLEXITY 36\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_START\n", + "INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.521270531956657\n", + "INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.2983128047937674\n", + "INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.22829756766807355\n", + "INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.21599293977050066\n", + "INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.20616805648555397\n", + "INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag41 0.16928706012438144\n", + "INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag13 -0.15082219866656754\n", + "INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.12003234668768697\n", + "INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag23 0.10669615190313649\n", + "INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag5 -0.09516023569337254\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_END\n", + "INFO:pyaf.std:START_TRAINING 'Ozone'\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.5, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.5, 0.1, 0.0) 1.4610373973846436\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.6000000000000001, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.6000000000000001, 0.1, 0.0) 1.9353375434875488\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.7000000000000001, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.7000000000000001, 0.1, 0.0) 1.930145263671875\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.8, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.8, 0.1, 0.0) 1.8007500171661377\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.9, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.9, 0.1, 0.0) 1.8864109516143799\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _Ozone 9.038404941558838\n", + "INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 10.184046506881714\n", + "INFO:pyaf.std:TIME_DETAIL TimeVariable='Month' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1963-06-01T00:00:00.000000 TimeDelta= Horizon=12\n", + "INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.8357843137254903 StdDev=1.4915592159401185\n", + "INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.8357843137254903 StdDev=1.4915592159401185\n", + "INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_'\n", + "INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR]\n", + "INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend]\n", + "INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle]\n", + "INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR]\n", + "INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1716 MAPE_Forecast=0.1873 MAPE_Test=None\n", + "INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1613 SMAPE_Forecast=0.1965 SMAPE_Test=None\n", + "INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7556 MASE_Forecast=0.7838 MASE_Test=None\n", + "INFO:pyaf.std:MODEL_L1 L1_Fit=0.6755522441422742 L1_Forecast=0.5734172181704287 L1_Test=None\n", + "INFO:pyaf.std:MODEL_L2 L2_Fit=0.8784816458194629 L2_Forecast=0.6795581528639223 L2_Test=None\n", + "INFO:pyaf.std:MODEL_COMPLEXITY 41\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_START\n", + "INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.4817817517029717\n", + "INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.24078579285082652\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.20479052751799376\n", + "INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.16602142570871645\n", + "INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.15601493235515343\n", + "INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.1448045345050922\n", + "INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag16 -0.1239689031967613\n", + "INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag22 0.10993150122019982\n", + "INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag8 -0.10687200706183947\n", + "INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag41 0.1020555297394612\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_END\n" + ] + } + ], + "source": [ + "model_no_cross_valid = create_model(False , None)\n", + "model_with_cross_valid_5 = create_model(True , 5)\n", + "model_with_cross_valid_10 = create_model(True , 10)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyaf.std:START_FORECASTING\n", + "INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0313987731933594\n", + "INFO:pyaf.std:START_FORECASTING\n", + "INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0095875263214111\n", + "INFO:pyaf.std:START_FORECASTING\n", + "INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0000324249267578\n" + ] + } + ], + "source": [ + "model_no_cross_valid_forecast = model_no_cross_valid.forecast(ozone_dataframe, 12);\n", + "model_with_cross_valid_10_forecast = model_with_cross_valid_10.forecast(ozone_dataframe, 12);\n", + "model_with_cross_valid_5_forecast = model_with_cross_valid_5.forecast(ozone_dataframe, 12);\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model_no_cross_valid_forecast.plot.line('Month', ['Ozone' , 'Ozone_Forecast', \n", + " 'Ozone_Forecast_Lower_Bound', \n", + " 'Ozone_Forecast_Upper_Bound'], grid = True, figsize=(12, 8))\n", + "model_with_cross_valid_10_forecast.plot.line('Month', ['Ozone' , 'Ozone_Forecast', \n", + " 'Ozone_Forecast_Lower_Bound', \n", + " 'Ozone_Forecast_Upper_Bound'], grid = True, figsize=(12, 8))\n", + "model_with_cross_valid_5_forecast.plot.line('Month', ['Ozone' , 'Ozone_Forecast', \n", + " 'Ozone_Forecast_Lower_Bound', \n", + " 'Ozone_Forecast_Upper_Bound'], grid = True, figsize=(12, 8))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.6+" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From bf248b98f0bd41a9836bbe230dc85d19ed63320c Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 09:39:09 +0200 Subject: [PATCH 23/28] Add the possibility to use cross validation when training PyAF models #105 Added a jupyter notebook with air passengers case --- ...PyAF_cross_validation_air_passengers.ipynb | 303 ++++++++++++++++++ 1 file changed, 303 insertions(+) create mode 100644 docs/PyAF_cross_validation_air_passengers.ipynb diff --git a/docs/PyAF_cross_validation_air_passengers.ipynb b/docs/PyAF_cross_validation_air_passengers.ipynb new file mode 100644 index 000000000..eeab54471 --- /dev/null +++ b/docs/PyAF_cross_validation_air_passengers.ipynb @@ -0,0 +1,303 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# remove the notebook root logger.\\n\",\n", + "import logging\n", + "logger = logging.getLogger()\n", + "logger.handlers = []\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 144 entries, 0 to 143\n", + "Data columns (total 3 columns):\n", + "ID 144 non-null int64\n", + "time 144 non-null float64\n", + "AirPassengers 144 non-null int64\n", + "dtypes: float64(1), int64(2)\n", + "memory usage: 3.5 KB\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "\n", + "csvfile_link = \"https://raw.githubusercontent.com/antoinecarme/pyaf/master/data/passengers_train.csv\"\n", + "air_passengers_dataframe = pd.read_csv(csvfile_link);\n", + "import datetime\n", + "air_passengers_dataframe.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def create_model(iActivateCrossVal , iFolds):\n", + " import pyaf.ForecastEngine as autof\n", + " lEngine = autof.cForecastEngine()\n", + " if(iActivateCrossVal):\n", + " lEngine.mOptions.mCrossValidationOptions.mMethod = \"TSCV\";\n", + " lEngine.mOptions.mCrossValidationOptions.mNbFolds = iFolds\n", + " lEngine.train(air_passengers_dataframe[:-12] , 'time' , 'AirPassengers', 12);\n", + " lEngine.getModelInfo();\n", + " return lEngine" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyaf.std:START_TRAINING 'AirPassengers'\n", + "INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 2.3645029067993164\n", + "INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666666667 TimeDelta=0.08333333333336763 Horizon=12\n", + "INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.49242424242425 StdDev=106.22114554451818\n", + "INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.49242424242425 StdDev=106.22114554451818\n", + "INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_'\n", + "INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [LinearTrend + NoCycle + AR]\n", + "INFO:pyaf.std:TREND_DETAIL '_AirPassengers_LinearTrend' [LinearTrend]\n", + "INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle' [NoCycle]\n", + "INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_LinearTrend_residue_zeroCycle_residue_AR(33)' [AR]\n", + "INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0349 MAPE_Forecast=0.0217 MAPE_Test=0.0541\n", + "INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0346 SMAPE_Forecast=0.022 SMAPE_Test=0.0558\n", + "INFO:pyaf.std:MODEL_MASE MASE_Fit=0.3563 MASE_Forecast=0.2287 MASE_Test=0.495\n", + "INFO:pyaf.std:MODEL_L1 L1_Fit=6.6616086574267035 L1_Forecast=8.471185219450993 L1_Test=22.277082170777792\n", + "INFO:pyaf.std:MODEL_L2 L2_Fit=8.553917012084726 L2_Forecast=11.971762904662405 L2_Test=23.591231598021093\n", + "INFO:pyaf.std:MODEL_COMPLEXITY 40\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_START\n", + "INFO:pyaf.std:AR_MODEL_COEFF 1 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag1 0.7786311442771685\n", + "INFO:pyaf.std:AR_MODEL_COEFF 2 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag12 0.7393757053683516\n", + "INFO:pyaf.std:AR_MODEL_COEFF 3 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag13 -0.5331389013991991\n", + "INFO:pyaf.std:AR_MODEL_COEFF 4 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag25 -0.2876891887152446\n", + "INFO:pyaf.std:AR_MODEL_COEFF 5 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag24 0.24302785675797162\n", + "INFO:pyaf.std:AR_MODEL_COEFF 6 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag33 -0.1840673100406064\n", + "INFO:pyaf.std:AR_MODEL_COEFF 7 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag5 0.17161844385149375\n", + "INFO:pyaf.std:AR_MODEL_COEFF 8 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag29 -0.16896686902776886\n", + "INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag7 -0.1681662646628627\n", + "INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_LinearTrend_residue_zeroCycle_residue_Lag16 -0.1649528421298057\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_END\n", + "INFO:pyaf.std:START_TRAINING 'AirPassengers'\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.4, 0.2, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.4, 0.2, 0.0) 1.325925588607788\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.6000000000000001, 0.2, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.6000000000000001, 0.2, 0.0) 1.2100276947021484\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.8, 0.2, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.8, 0.2, 0.0) 1.22137451171875\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _AirPassengers 3.776233673095703\n", + "INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.7210164070129395\n", + "INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1953.25 TimeDelta=0.08333333333333333 Horizon=12\n", + "INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.49242424242425 StdDev=106.22114554451818\n", + "INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.49242424242425 StdDev=106.22114554451818\n", + "INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_'\n", + "INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [ConstantTrend + NoCycle + AR]\n", + "INFO:pyaf.std:TREND_DETAIL '_AirPassengers_ConstantTrend' [ConstantTrend]\n", + "INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle' [NoCycle]\n", + "INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [AR]\n", + "INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0466 MAPE_Forecast=0.0779 MAPE_Test=None\n", + "INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0463 SMAPE_Forecast=0.0743 SMAPE_Test=None\n", + "INFO:pyaf.std:MODEL_MASE MASE_Fit=0.5348 MASE_Forecast=0.8579 MASE_Test=None\n", + "INFO:pyaf.std:MODEL_L1 L1_Fit=7.182589518689015 L1_Forecast=18.32413849265931 L1_Test=None\n", + "INFO:pyaf.std:MODEL_L2 L2_Fit=8.47270474212646 L2_Forecast=20.289321430685135 L2_Test=None\n", + "INFO:pyaf.std:MODEL_COMPLEXITY 13\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_START\n", + "INFO:pyaf.std:AR_MODEL_COEFF 1 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag12 0.6607064234217151\n", + "INFO:pyaf.std:AR_MODEL_COEFF 2 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag1 0.5536397687956287\n", + "INFO:pyaf.std:AR_MODEL_COEFF 3 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag24 0.373960847281611\n", + "INFO:pyaf.std:AR_MODEL_COEFF 4 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag13 -0.31412876086957653\n", + "INFO:pyaf.std:AR_MODEL_COEFF 5 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag22 0.18091133526857126\n", + "INFO:pyaf.std:AR_MODEL_COEFF 6 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag11 0.14433114574684439\n", + "INFO:pyaf.std:AR_MODEL_COEFF 7 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag25 -0.1210227087249675\n", + "INFO:pyaf.std:AR_MODEL_COEFF 8 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag23 -0.10795637609914946\n", + "INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag10 -0.06253586430214722\n", + "INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag14 -0.05651369368853282\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_END\n", + "INFO:pyaf.std:START_TRAINING 'AirPassengers'\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.5, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.5, 0.1, 0.0) 1.194685935974121\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.6000000000000001, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.6000000000000001, 0.1, 0.0) 1.1637635231018066\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.7000000000000001, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.7000000000000001, 0.1, 0.0) 1.1807339191436768\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.8, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.8, 0.1, 0.0) 1.1565041542053223\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.9, 0.1, 0.0)\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.9, 0.1, 0.0) 1.188401460647583\n", + "INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _AirPassengers 5.909429311752319\n", + "INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 6.87916374206543\n", + "INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1954.41666666667 TimeDelta=0.08333333333338347 Horizon=12\n", + "INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.49242424242425 StdDev=106.22114554451818\n", + "INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.49242424242425 StdDev=106.22114554451818\n", + "INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_'\n", + "INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [ConstantTrend + NoCycle + AR]\n", + "INFO:pyaf.std:TREND_DETAIL '_AirPassengers_ConstantTrend' [ConstantTrend]\n", + "INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle' [NoCycle]\n", + "INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [AR]\n", + "INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0438 MAPE_Forecast=0.0386 MAPE_Test=None\n", + "INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0437 SMAPE_Forecast=0.0391 SMAPE_Test=None\n", + "INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4861 MASE_Forecast=0.4656 MASE_Test=None\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyaf.std:MODEL_L1 L1_Fit=7.164469425273996 L1_Forecast=10.786413393505878 L1_Test=None\n", + "INFO:pyaf.std:MODEL_L2 L2_Fit=8.942766451419976 L2_Forecast=12.324512306852741 L2_Test=None\n", + "INFO:pyaf.std:MODEL_COMPLEXITY 16\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_START\n", + "INFO:pyaf.std:AR_MODEL_COEFF 1 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag12 0.8345744127463641\n", + "INFO:pyaf.std:AR_MODEL_COEFF 2 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag1 0.7123718250165103\n", + "INFO:pyaf.std:AR_MODEL_COEFF 3 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag13 -0.40187874062979984\n", + "INFO:pyaf.std:AR_MODEL_COEFF 4 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag25 -0.38961476589992594\n", + "INFO:pyaf.std:AR_MODEL_COEFF 5 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag24 0.34965907231433085\n", + "INFO:pyaf.std:AR_MODEL_COEFF 6 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag14 -0.23552166496545346\n", + "INFO:pyaf.std:AR_MODEL_COEFF 7 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag15 0.15763860782410258\n", + "INFO:pyaf.std:AR_MODEL_COEFF 8 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag22 0.13898102966856907\n", + "INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag3 -0.12616114892681535\n", + "INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag2 0.10846582203594812\n", + "INFO:pyaf.std:AR_MODEL_DETAIL_END\n" + ] + } + ], + "source": [ + "model_no_cross_valid = create_model(False , None)\n", + "model_with_cross_valid_5 = create_model(True , 5)\n", + "model_with_cross_valid_10 = create_model(True , 10)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pyaf.std:START_FORECASTING\n", + "INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9232053756713867\n", + "INFO:pyaf.std:START_FORECASTING\n", + "INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8753044605255127\n", + "INFO:pyaf.std:START_FORECASTING\n", + "INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8743491172790527\n" + ] + } + ], + "source": [ + "model_no_cross_valid_forecast = model_no_cross_valid.forecast(air_passengers_dataframe, 12);\n", + "model_with_cross_valid_10_forecast = model_with_cross_valid_10.forecast(air_passengers_dataframe, 12);\n", + "model_with_cross_valid_5_forecast = model_with_cross_valid_5.forecast(air_passengers_dataframe, 12);\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "model_no_cross_valid_forecast.plot.line('time', ['AirPassengers' , 'AirPassengers_Forecast', \n", + " 'AirPassengers_Forecast_Lower_Bound', \n", + " 'AirPassengers_Forecast_Upper_Bound'], grid = True, figsize=(12, 8))\n", + "model_with_cross_valid_10_forecast.plot.line('time', ['AirPassengers' , 'AirPassengers_Forecast', \n", + " 'AirPassengers_Forecast_Lower_Bound', \n", + " 'AirPassengers_Forecast_Upper_Bound'], grid = True, figsize=(12, 8))\n", + "model_with_cross_valid_5_forecast.plot.line('time', ['AirPassengers' , 'AirPassengers_Forecast', \n", + " 'AirPassengers_Forecast_Lower_Bound', \n", + " 'AirPassengers_Forecast_Upper_Bound'], grid = True, figsize=(12, 8))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.6+" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From bf867573752250758e9fb4b17f95d581d8048684 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 09:52:39 +0200 Subject: [PATCH 24/28] Updated Makefile to include cross validatino tests --- tests/Makefile | 34 ++++++++++++++++++++++++++++++++-- 1 file changed, 32 insertions(+), 2 deletions(-) diff --git a/tests/Makefile b/tests/Makefile index 523f6f8a2..b34d05490 100644 --- a/tests/Makefile +++ b/tests/Makefile @@ -406,6 +406,36 @@ bugs/issue_55/grouping_issue_55_notebook.py : bugs : bugs/test_random_exogenous.py bugs/test_artificial_bug_2.py bugs/test_artificial_bug_1.py bugs/issue_34/test_artificial_1024_sqrt_linear_30_12_20.py bugs/issue_34/test_artificial_1024_sqrt_constant_7_12_100.py bugs/issue_34/test_artificial_1024_sqr_poly_5_12_20.py bugs/issue_34/test_artificial_1024_log_linear_5_12_100.py bugs/issue_34/test_artificial_1024_log_linear_30_12_20.py bugs/issue_34/test_artificial_1024_inv_linear_7_12_100.py bugs/issue_34/test_artificial_1024_inv_constant_30__20.py bugs/issue_34/test_artificial_1024_diff_poly_0__100.py bugs/issue_34/test_artificial_1024_diff_poly_0__0.py bugs/issue_34/test_artificial_1024__poly_7_12_100.py bugs/issue_34/issue_34_1.py bugs/issue_34/issue_34.py bugs/issue_76/test_ozone_unicode.py bugs/issue_73/issue_73_1_slow_mode_more_cycles.py bugs/issue_73/issue_73_1_slow_mode.py bugs/issue_73/issue_73_1_fast_mode_2.py bugs/issue_73/issue_73_1_fast_mode.py bugs/issue_72/test_artificial_32_sqrt_poly_7__20.py bugs/issue_72/test_artificial_32_exp_linear_0__100.py bugs/issue_46/issue_46_one_or_two_rows.py bugs/issue_32/bug_test_ozone_heroku_1_ws.py bugs/issue_32/bug_test_ozone_heroku_1.py bugs/issue_22/test_artificial_1024_cumsum_constant_5__20.py bugs/issue_69/issue_69_example_1_with_rectifier.py bugs/issue_69/issue_69_example_1_no_rectifier.py bugs/issue_75/issue_75_residues_Are_empty.py bugs/issue_75/issue_75_plot.py bugs/issue_56/issue_56_order2.py bugs/issue_56/issue_56_order1.py bugs/issue_80/test_ozone_missing_time.py bugs/issue_19/issue_19_no_interpolation.py bugs/issue_79/test_ozone_missing_signal.py bugs/issue_29/test_mem_1.py bugs/issue_58/issue_58_1_categorical_exogenous.py bugs/issue_94/issue_94.py bugs/issue_36/issue_36_version_info.py bugs/issue_36/display_version_info.py bugs/issue_70/test_ozone_keep_all_seasonals.py bugs/issue_70/test_ozone_filter_seasonals.py bugs/issue_70/test_artificial_keep_all_seasonals_second.py bugs/issue_70/test_artificial_keep_all_seasonals_minute.py bugs/issue_70/test_artificial_keep_all_seasonals_hour.py bugs/issue_70/test_artificial_keep_all_seasonals_day.py bugs/issue_70/test_artificial_filter_seasonals_second.py bugs/issue_70/test_artificial_filter_seasonals_min.py bugs/issue_70/test_artificial_filter_seasonals_hour.py bugs/issue_70/test_artificial_filter_seasonals_day.py bugs/issue_21/test_ozone_max_autoreg_5.py bugs/issue_21/test_artificial_1024__poly_7__20.py bugs/issue_82/issue_82_long_cycles.py bugs/issue_4/issue_4.py bugs/issue_55/grouping_issue_55_notebook.py +cross_validation/test_air_passengers_cross_valid.py : + $(PYTHON) tests/cross_validation/test_air_passengers_cross_valid.py > logs/cross_validation_test_air_passengers_cross_valid.log 2>&1 + $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_air_passengers_cross_valid.log logs/cross_validation_test_air_passengers_cross_valid.log > logs/cross_validation_test_air_passengers_cross_valid.log.diff + tail -10 logs/cross_validation_test_air_passengers_cross_valid.log.diff + +cross_validation/test_air_passengers_slow_mode.py : + $(PYTHON) tests/cross_validation/test_air_passengers_slow_mode.py > logs/cross_validation_test_air_passengers_slow_mode.log 2>&1 + $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_air_passengers_slow_mode.log logs/cross_validation_test_air_passengers_slow_mode.log > logs/cross_validation_test_air_passengers_slow_mode.log.diff + tail -10 logs/cross_validation_test_air_passengers_slow_mode.log.diff + +cross_validation/test_ozone_cross_valid.py : + $(PYTHON) tests/cross_validation/test_ozone_cross_valid.py > logs/cross_validation_test_ozone_cross_valid.log 2>&1 + $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_ozone_cross_valid.log logs/cross_validation_test_ozone_cross_valid.log > logs/cross_validation_test_ozone_cross_valid.log.diff + tail -10 logs/cross_validation_test_ozone_cross_valid.log.diff + +cross_validation/test_ozone_custom_split.py : + $(PYTHON) tests/cross_validation/test_ozone_custom_split.py > logs/cross_validation_test_ozone_custom_split.log 2>&1 + $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_ozone_custom_split.log logs/cross_validation_test_ozone_custom_split.log > logs/cross_validation_test_ozone_custom_split.log.diff + tail -10 logs/cross_validation_test_ozone_custom_split.log.diff + +cross_validation/test_ozone_slow_mode.py : + $(PYTHON) tests/cross_validation/test_ozone_slow_mode.py > logs/cross_validation_test_ozone_slow_mode.log 2>&1 + $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_ozone_slow_mode.log logs/cross_validation_test_ozone_slow_mode.log > logs/cross_validation_test_ozone_slow_mode.log.diff + tail -10 logs/cross_validation_test_ozone_slow_mode.log.diff + + + + cross_validation : cross_validation/test_ozone_slow_mode.py cross_validation/test_ozone_custom_split.py cross_validation/test_ozone_cross_valid.py cross_validation/test_air_passengers_slow_mode.py cross_validation/test_air_passengers_cross_valid.py + + demos/demo1.py : $(PYTHON) tests/demos/demo1.py > logs/demos_demo1.log 2>&1 $(PYTHON) scripts/num_diff.py tests/references/demos_demo1.log logs/demos_demo1.log > logs/demos_demo1.log.diff @@ -1084,9 +1114,9 @@ xgb/test_ozone_xgbx_exogenous.py : # ********************************************** -all: artificial basic_checks bugs exog expsmooth HeartRateTimeSeries heroku hierarchical model_control perf svr transformations func neuralnet real-life time_res perfs demos xgb +all: artificial basic_checks bugs cross_validation exog expsmooth func HeartRateTimeSeries heroku hierarchical model_control perf svr transformations neuralnet real-life time_res perfs demos xgb -build-test : demos basic_checks exog heroku hierarchical model_control svr transformations func real-life time_res perfs xgb +build-test : demos basic_checks cross_validation exog heroku hierarchical model_control perfs svr transformations func real-life time_res xgb From 0528a287f1fdd133580bdf7c78127b275ff4966b Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 09:53:03 +0200 Subject: [PATCH 25/28] Updated Makefile to include cross validation tests --- tests/gen_makefile.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/gen_makefile.py b/tests/gen_makefile.py index 9726bbedd..c9b46692d 100644 --- a/tests/gen_makefile.py +++ b/tests/gen_makefile.py @@ -26,7 +26,7 @@ def add_makefile_entry(subdir1): return test_target; -str1 = "artificial basic_checks bugs exog expsmooth HeartRateTimeSeries heroku hierarchical model_control perf svr transformations func neuralnet real-life time_res perfs demos xgb"; +str1 = "artificial basic_checks bugs cross_validation exog expsmooth func HeartRateTimeSeries heroku hierarchical model_control perf svr transformations neuralnet real-life time_res perfs demos xgb"; subdirs = str1.split(); print("PYTHON=python3\n\n"); @@ -44,6 +44,6 @@ def add_makefile_entry(subdir1): print("all: " , str1 , "\n\t\n"); -str2 = "demos basic_checks exog heroku hierarchical model_control svr transformations func real-life time_res perfs xgb"; +str2 = "demos basic_checks cross_validation exog heroku hierarchical model_control perfs svr transformations func real-life time_res xgb "; print("build-test : " , str2 , "\n\t\n"); From a484d301615833eaa3122419a01151eba314b9f3 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 11:32:04 +0200 Subject: [PATCH 26/28] Updated these log files --- ..._control_test_ozone_all_models_enabled.log | 4170 ++++++++++++++++- .../svr_test_air_passengers_svr.log | 70 +- .../svr_test_air_passengers_svr_only.log | 70 +- tests/references/svr_test_ozone_svr_only.log | 106 +- ...est_ozone_transf_relative_difference_1.log | 24 +- 5 files changed, 4302 insertions(+), 138 deletions(-) diff --git a/tests/references/model_control_test_ozone_all_models_enabled.log b/tests/references/model_control_test_ozone_all_models_enabled.log index b65a795d0..3b66515a3 100644 --- a/tests/references/model_control_test_ozone_all_models_enabled.log +++ b/tests/references/model_control_test_ozone_all_models_enabled.log @@ -1,116 +1,3976 @@ INFO:pyaf.std:START_TRAINING 'Ozone' +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.5, 0.1, 0.0) Month Ozone Time 0 1955-01 2.7 1955-01-01 1 1955-02 2.0 1955-02-01 2 1955-03 3.6 1955-03-01 3 1955-04 5.0 1955-04-01 4 1955-05 6.5 1955-05-01 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 68.69707202911377 -INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.5, 0.1, 0.0) 44.96250033378601 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.6000000000000001, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.6000000000000001, 0.1, 0.0) 62.24951386451721 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.7000000000000001, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.7000000000000001, 0.1, 0.0) 62.73104548454285 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.8, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.8, 0.1, 0.0) 69.31278991699219 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.9, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.9, 0.1, 0.0) 77.61585521697998 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _Ozone 316.89785408973694 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 320.233993768692 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1963-06-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 -INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Anscombe_Ozone' Min=1.22474487139 Max=2.34520787991 Mean=1.68886563891 StdDev=0.231267134903 -INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Anscombe_' -INFO:pyaf.std:BEST_DECOMPOSITION 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] -INFO:pyaf.std:TREND_DETAIL 'Anscombe_Ozone_LinearTrend' [LinearTrend] -INFO:pyaf.std:CYCLE_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] -INFO:pyaf.std:AUTOREG_DETAIL 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] -INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1642 MAPE_Forecast=0.1384 MAPE_Test=0.1408 -INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1559 SMAPE_Forecast=0.1512 SMAPE_Test=0.1438 -INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7168 MASE_Forecast=0.6055 MASE_Test=0.7524 -INFO:pyaf.std:MODEL_L1 L1_Fit=0.629999523844 L1_Forecast=0.470085818095 L1_Test=0.355656689107 -INFO:pyaf.std:MODEL_L2 L2_Fit=0.831144986642 L2_Forecast=0.65504756246 L2_Test=0.434669671259 -INFO:pyaf.std:MODEL_COMPLEXITY 86 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1716 MAPE_Forecast=0.1873 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1613 SMAPE_Forecast=0.1965 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7556 MASE_Forecast=0.7838 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=0.675552244142 L1_Forecast=0.57341721817 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=0.878481645819 L2_Forecast=0.679558152864 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 41 INFO:pyaf.std:AR_MODEL_DETAIL_START -INFO:pyaf.std:AR_MODEL_COEFF 1 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.32099982115 -INFO:pyaf.std:AR_MODEL_COEFF 2 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.119172904221 -INFO:pyaf.std:AR_MODEL_COEFF 3 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag51 -0.109660141157 -INFO:pyaf.std:AR_MODEL_COEFF 4 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.108112184546 -INFO:pyaf.std:AR_MODEL_COEFF 5 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag36 0.0884374725175 -INFO:pyaf.std:AR_MODEL_COEFF 6 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag39 -0.0884128128758 -INFO:pyaf.std:AR_MODEL_COEFF 7 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.087271066982 -INFO:pyaf.std:AR_MODEL_COEFF 8 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag48 0.0811591621673 -INFO:pyaf.std:AR_MODEL_COEFF 9 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag32 -0.0811466286025 -INFO:pyaf.std:AR_MODEL_COEFF 10 Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.0738221650976 +INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.481781751703 +INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.240785792851 +INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.204790527518 +INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.166021425709 +INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.156014932355 +INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.144804534505 +INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag16 -0.123968903197 +INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag22 0.10993150122 +INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag8 -0.106872007062 +INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag41 0.102055529739 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.006704807281494 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.565846681594849 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8631582260131836 - Split Transformation ... ForecastMAPE TestMAPE -0 None Anscombe_Ozone ... 1.384000e-01 1.408000e-01 -1 None Anscombe_Ozone ... 1.386000e-01 1.320000e-01 -2 None _Ozone ... 1.437000e-01 2.532000e-01 -3 None _Ozone ... 1.466000e-01 3.320000e-01 -4 None Box_Cox_0.0_Ozone ... 1.481000e-01 1.439000e-01 -5 None Logit_Ozone ... 1.484000e-01 1.373000e-01 -6 None Anscombe_Ozone ... 1.486000e-01 1.346000e-01 -7 None _Ozone ... 1.493000e-01 3.267000e-01 -8 None Logit_Ozone ... 1.500000e-01 1.279000e-01 -9 None Box_Cox_-1.0_Ozone ... 1.511000e-01 1.739000e-01 -10 None Box_Cox_-1.0_Ozone ... 1.511000e-01 1.739000e-01 -11 None Box_Cox_-1.0_Ozone ... 1.512000e-01 1.801000e-01 -12 None Box_Cox_-1.0_Ozone ... 1.512000e-01 1.801000e-01 -13 None _Ozone ... 1.519000e-01 3.250000e-01 -14 None Anscombe_Ozone ... 1.519000e-01 1.312000e-01 -15 None Logit_Ozone ... 1.524000e-01 1.415000e-01 -16 None Anscombe_Ozone ... 1.529000e-01 1.226000e-01 -17 None Box_Cox_0.0_Ozone ... 1.529000e-01 1.245000e-01 -18 None _Ozone ... 1.537000e-01 2.738000e-01 -19 None Logit_Ozone ... 1.543000e-01 1.174000e-01 -20 None Anscombe_Ozone ... 1.544000e-01 1.380000e-01 -21 None Box_Cox_0.0_Ozone ... 1.552000e-01 2.267000e-01 -22 None Box_Cox_-2.0_Ozone ... 1.553000e-01 1.799000e-01 -23 None Box_Cox_-2.0_Ozone ... 1.553000e-01 1.799000e-01 -24 None Anscombe_Ozone ... 1.559000e-01 1.321000e-01 -25 None Box_Cox_-2.0_Ozone ... 1.566000e-01 1.854000e-01 -26 None Box_Cox_-2.0_Ozone ... 1.566000e-01 1.854000e-01 -27 None Anscombe_Ozone ... 1.567000e-01 1.267000e-01 -28 None Box_Cox_0.0_Ozone ... 1.569000e-01 1.287000e-01 -29 None Anscombe_Ozone ... 1.583000e-01 1.287000e-01 -... ... ... ... ... ... -1230 None Box_Cox_-2.0_Ozone ... 2.587387e+08 3.443000e-01 -1231 None Box_Cox_-1.0_Ozone ... 2.686185e+08 4.253000e-01 -1232 None Box_Cox_-2.0_Ozone ... 2.818780e+08 3.470000e-01 -1233 None Box_Cox_-2.0_Ozone ... 2.818780e+08 3.470000e-01 -1234 None Box_Cox_-1.0_Ozone ... 2.834918e+08 1.516141e+08 -1235 None Box_Cox_-2.0_Ozone ... 3.595385e+08 1.184085e+09 -1236 None Box_Cox_-2.0_Ozone ... 3.595385e+08 1.184085e+09 -1237 None Box_Cox_-2.0_Ozone ... 3.985603e+08 9.458344e+08 -1238 None Box_Cox_-2.0_Ozone ... 3.985603e+08 9.458344e+08 -1239 None Box_Cox_-2.0_Ozone ... 4.113724e+08 1.184085e+09 -1240 None Box_Cox_-2.0_Ozone ... 4.113724e+08 1.184085e+09 -1241 None Box_Cox_-1.0_Ozone ... 4.119617e+08 1.895177e+08 -1242 None Box_Cox_-2.0_Ozone ... 4.330188e+08 7.733487e+08 -1243 None Box_Cox_-2.0_Ozone ... 4.330188e+08 7.733487e+08 -1244 None Box_Cox_-2.0_Ozone ... 4.583686e+08 6.000754e+08 -1245 None Box_Cox_-2.0_Ozone ... 4.583686e+08 6.000754e+08 -1246 None Box_Cox_-2.0_Ozone ... 4.769515e+08 2.386519e+08 -1247 None Box_Cox_-2.0_Ozone ... 4.769515e+08 2.386519e+08 -1248 None Box_Cox_-2.0_Ozone ... 4.776774e+08 9.111797e+08 -1249 None Box_Cox_-2.0_Ozone ... 4.776774e+08 9.111797e+08 -1250 None Box_Cox_-2.0_Ozone ... 5.026363e+08 1.516141e+08 -1251 None Box_Cox_-2.0_Ozone ... 5.110827e+08 4.413656e+08 -1252 None Box_Cox_-2.0_Ozone ... 5.441772e+08 2.079279e+08 -1253 None Box_Cox_-2.0_Ozone ... 5.453800e+08 9.709065e+08 -1254 None Box_Cox_-2.0_Ozone ... 5.511130e+08 6.515000e-01 -1255 None Box_Cox_-2.0_Ozone ... 5.835485e+08 9.709065e+08 -1256 None Box_Cox_-2.0_Ozone ... 6.218822e+08 5.677107e+08 -1257 None Box_Cox_-2.0_Ozone ... 6.244793e+08 2.639209e+08 -1258 None Box_Cox_-2.0_Ozone ... 6.341109e+08 5.677107e+08 -1259 None Box_Cox_-2.0_Ozone ... 6.800249e+08 4.579053e+08 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0746006965637207 + Split Transformation ... TestMAPE IC +0 (0.5, 0.1, 0.0) Logit_Ozone ... None 0 +1 (0.5, 0.1, 0.0) _Ozone ... None 0 +2 (0.5, 0.1, 0.0) Logit_Ozone ... None 1 +3 (0.5, 0.1, 0.0) _Ozone ... None 0 +4 (0.5, 0.1, 0.0) _Ozone ... None 0 +5 (0.5, 0.1, 0.0) Box_Cox_0.0_Ozone ... None 0 +6 (0.5, 0.1, 0.0) Box_Cox_0.0_Ozone ... None 0 +7 (0.5, 0.1, 0.0) _Ozone ... None 0 +8 (0.5, 0.1, 0.0) _Ozone ... None 0 +9 (0.5, 0.1, 0.0) _Ozone ... None 0 +10 (0.5, 0.1, 0.0) Logit_Ozone ... None 0 +11 (0.5, 0.1, 0.0) Logit_Ozone ... None 0 +12 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +13 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +14 (0.5, 0.1, 0.0) Quantized_20_Ozone ... None 0 +15 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +16 (0.5, 0.1, 0.0) Box_Cox_0.0_Ozone ... None 0 +17 (0.5, 0.1, 0.0) _Ozone ... None 0 +18 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +19 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 1 +20 (0.5, 0.1, 0.0) Logit_Ozone ... None 0 +21 (0.5, 0.1, 0.0) Box_Cox_0.0_Ozone ... None 0 +22 (0.5, 0.1, 0.0) Box_Cox_0.0_Ozone ... None 0 +23 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +24 (0.5, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +25 (0.5, 0.1, 0.0) Quantized_10_Ozone ... None 0 +26 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +27 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +28 (0.5, 0.1, 0.0) Fisher_Ozone ... None 0 +29 (0.5, 0.1, 0.0) Anscombe_Ozone ... None 0 +... ... ... ... ... .. +1230 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1231 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1232 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1233 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1234 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1235 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1236 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1237 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1238 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1239 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1240 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1241 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1242 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1243 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1244 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1245 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1246 (0.9, 0.1, 0.0) Box_Cox_-1.0_Ozone ... None 0 +1247 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1248 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1249 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1250 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1251 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1252 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1253 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1254 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1255 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1256 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1257 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1258 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 +1259 (0.9, 0.1, 0.0) Box_Cox_-2.0_Ozone ... None 0 -[1260 rows x 8 columns] -Forecast Columns Index(['Time', 'Ozone', 'Anscombe_Ozone', 'row_number', 'Time_Normalized', - 'Anscombe_Ozone_LinearTrend', 'Anscombe_Ozone_LinearTrend_residue', - 'Anscombe_Ozone_LinearTrend_residue_zeroCycle', - 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue', - 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)', - 'Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)_residue', - 'Anscombe_Ozone_Trend', 'Anscombe_Ozone_Trend_residue', - 'Anscombe_Ozone_Cycle', 'Anscombe_Ozone_Cycle_residue', - 'Anscombe_Ozone_AR', 'Anscombe_Ozone_AR_residue', - 'Anscombe_Ozone_TransformedForecast', 'Ozone_Forecast', - 'Anscombe_Ozone_TransformedResidue', 'Ozone_Residue', +[5880 rows x 9 columns] +Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', + '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', + '_Ozone_LinearTrend_residue_zeroCycle', + '_Ozone_LinearTrend_residue_zeroCycle_residue', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)_residue', + '_Ozone_Trend', '_Ozone_Trend_residue', '_Ozone_Cycle', + '_Ozone_Cycle_residue', '_Ozone_AR', '_Ozone_AR_residue', + '_Ozone_TransformedForecast', 'Ozone_Forecast', + '_Ozone_TransformedResidue', 'Ozone_Residue', 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], dtype='object') @@ -124,18 +3984,18 @@ memory usage: 5.1 KB None Forecasts Time Ozone Ozone_Forecast -204 1972-01-01 NaN 1.024415 -205 1972-02-01 NaN 1.541823 -206 1972-03-01 NaN 2.017001 -207 1972-04-01 NaN 2.430853 -208 1972-05-01 NaN 2.879409 -209 1972-06-01 NaN 3.280126 -210 1972-07-01 NaN 3.414366 -211 1972-08-01 NaN 3.394543 -212 1972-09-01 NaN 3.075428 -213 1972-10-01 NaN 2.214360 -214 1972-11-01 NaN 1.542736 -215 1972-12-01 NaN 1.112522 +204 1972-01-01 NaN 0.285624 +205 1972-02-01 NaN 0.738594 +206 1972-03-01 NaN 0.515769 +207 1972-04-01 NaN 1.123423 +208 1972-05-01 NaN 1.030676 +209 1972-06-01 NaN 1.801763 +210 1972-07-01 NaN 1.610546 +211 1972-08-01 NaN 1.645255 +212 1972-09-01 NaN 1.140365 +213 1972-10-01 NaN 0.941300 +214 1972-11-01 NaN 0.287191 +215 1972-12-01 NaN 0.063853 @@ -154,17 +4014,17 @@ Forecasts }, "Model": { "AR_Model": "AR", - "Best_Decomposition": "Anscombe_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", + "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", "Cycle": "NoCycle", - "Signal_Transoformation": "Anscombe", + "Signal_Transoformation": "NoTransf", "Trend": "LinearTrend" }, "Model_Performance": { - "COMPLEXITY": "86", - "MAE": "0.470085818095", - "MAPE": "0.1384", - "MASE": "0.6055", - "RMSE": "0.65504756246" + "COMPLEXITY": "41", + "MAE": "0.57341721817", + "MAPE": "0.1873", + "MASE": "0.7838", + "RMSE": "0.679558152864" } } @@ -173,7 +4033,77 @@ Forecasts -{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":1.1202220186,"193":1.9384005467,"194":2.4328115966,"195":2.4019066825,"196":3.1709712472,"197":3.1681773447,"198":4.1619230994,"199":3.5832671054,"200":3.0640691022,"201":2.3561708754,"202":1.7120744534,"203":1.2276411329,"204":1.0244151392,"205":1.5418229577,"206":2.0170010596,"207":2.4308531985,"208":2.8794089774,"209":3.2801258093,"210":3.4143660536,"211":3.39454272,"212":3.0754284218,"213":2.2143596364,"214":1.5427356286,"215":1.1125216345}} +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":0.7374381707,"193":1.1320086299,"194":1.8549839453,"195":1.2883584088,"196":2.5112248895,"197":2.5574173159,"198":3.1928923511,"199":2.5688374073,"200":2.0571623293,"201":1.4624391751,"202":1.1275875442,"203":0.5646769855,"204":0.2856243781,"205":0.7385938903,"206":0.5157685586,"207":1.1234230133,"208":1.0306755197,"209":1.8017628552,"210":1.6105459481,"211":1.6452553303,"212":1.1403645026,"213":0.9413002388,"214":0.287190989,"215":0.0638531478}} +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) diff --git a/tests/references/svr_test_air_passengers_svr.log b/tests/references/svr_test_air_passengers_svr.log index 46d2245ca..7fc8ab248 100644 --- a/tests/references/svr_test_air_passengers_svr.log +++ b/tests/references/svr_test_air_passengers_svr.log @@ -1,5 +1,5 @@ INFO:pyaf.std:START_TRAINING 'AirPassengers' -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.713931083679199 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.7734460830688477 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 @@ -17,9 +17,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.707443714141846 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.801766872406006 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8535487651824951 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8660995960235596 Split Transformation ... ForecastMAPE TestMAPE 0 None _AirPassengers ... 0.0942 0.0997 1 None _AirPassengers ... 0.0946 0.0996 @@ -123,3 +123,67 @@ Forecasts +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) diff --git a/tests/references/svr_test_air_passengers_svr_only.log b/tests/references/svr_test_air_passengers_svr_only.log index 6f854460c..bbfb763b9 100644 --- a/tests/references/svr_test_air_passengers_svr_only.log +++ b/tests/references/svr_test_air_passengers_svr_only.log @@ -31,7 +31,7 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integra INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_LinearTrend_NoCycle_SVR 72 0.4857 INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_Cycle_SVR 80 0.2102 INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_AirPassengers Integration_PolyTrend_NoCycle_SVR 72 0.214 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 3.9713995456695557 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 4.153539657592773 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1956.91666667 TimeDelta=0.0833333333334 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 @@ -49,9 +49,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 56 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.641598701477051 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.842644929885864 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8231611251831055 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8881902694702148 Split Transformation ... TestMAPE TestMASE 1 None _AirPassengers ... 0.0996 0.9530 0 None _AirPassengers ... 0.0997 0.9539 @@ -162,9 +162,73 @@ Forecasts +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) diff --git a/tests/references/svr_test_ozone_svr_only.log b/tests/references/svr_test_ozone_svr_only.log index b78b0e84f..299abcaa9 100644 --- a/tests/references/svr_test_ozone_svr_only.log +++ b/tests/references/svr_test_ozone_svr_only.log @@ -53,7 +53,7 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_Lin INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_SVR 90 0.9326 INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_Cycle_SVR 94 0.9222 INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_Ozone Integration_PolyTrend_NoCycle_SVR 86 0.7632 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.863430023193359 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.165541648864746 INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1967-09-01T00:00:00.000000 TimeDelta= Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 @@ -71,9 +71,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 54 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.030595541000366 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.334776163101196 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8862650394439697 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.0120701789855957 Split Transformation ... TestMAPE TestMASE 0 None _Ozone ... 0.4764 2.2826 1 None _Ozone ... 0.2763 1.2645 @@ -165,9 +165,109 @@ Forecasts /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) diff --git a/tests/references/transformations_test_ozone_transf_relative_difference_1.log b/tests/references/transformations_test_ozone_transf_relative_difference_1.log index 8348aa4e8..edc65be69 100644 --- a/tests/references/transformations_test_ozone_transf_relative_difference_1.log +++ b/tests/references/transformations_test_ozone_transf_relative_difference_1.log @@ -20,7 +20,7 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDiff INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_LinearTrend_NoCycle_NoAR 48 1.0 INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_PolyTrend_Cycle_NoAR 56 1.0 INFO:pyaf.std:collectPerformanceIndices : MAPE None RelDiff_signal2 RelativeDifference_PolyTrend_NoCycle_NoAR 48 1.0 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 1.6103355884552002 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 1.6237618923187256 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='RelDiff_signal2' Min=0.0 Max=0.2 Mean=0.0168385189911 StdDev=0.0555262389696 @@ -38,9 +38,9 @@ INFO:pyaf.std:MODEL_COMPLEXITY 32 INFO:pyaf.std:AR_MODEL_DETAIL_START INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.429899215698242 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.553776264190674 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.720172643661499 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.7585341930389404 INFO:pyaf.std:START_TRAINING 'signal2' INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_ConstantTrend_Cycle_AR 72 0.0 INFO:pyaf.std:collectPerformanceIndices : MAPE None _signal2 NoTransf_ConstantTrend_Cycle_NoAR 8 0.9999 @@ -98,7 +98,7 @@ INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_P INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_Cycle_NoAR 56 1.0 INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_NoCycle_AR 112 0.0 INFO:pyaf.std:collectPerformanceIndices : MAPE None CumSum_signal2 Integration_PolyTrend_NoCycle_NoAR 48 1.0 -INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 6.894464492797852 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'signal2' 6.914352655410767 INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=0 TimeMax=949 TimeDelta=1 Horizon=12 INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_signal2' Min=1.0 Max=8.67588948188e+94 Mean=4.33794474094e+92 StdDev=4.51002137469e+93 @@ -126,9 +126,9 @@ INFO:pyaf.std:AR_MODEL_COEFF 9 _signal2_ConstantTrend_residue_zeroCycle_residue_ INFO:pyaf.std:AR_MODEL_COEFF 10 _signal2_ConstantTrend_residue_zeroCycle_residue_Lag2 -0.891617260497 INFO:pyaf.std:AR_MODEL_DETAIL_END INFO:pyaf.std:START_PLOTTING -INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.442212343215942 +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.521016597747803 INFO:pyaf.std:START_FORECASTING -INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.2843656539916992 +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.3391809463500977 Split Transformation ... TestMAPE TestMASE 0 None RelDiff_signal2 ... 1.0 5.6426 1 None RelDiff_signal2 ... 1.0 5.6426 @@ -384,13 +384,19 @@ Forecasts /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:303: RuntimeWarning: divide by zero encountered in true_divide +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:304: RuntimeWarning: divide by zero encountered in true_divide + F = corr ** 2 / (1 - corr ** 2) * degrees_of_freedom +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:304: RuntimeWarning: divide by zero encountered in true_divide F = corr ** 2 / (1 - corr ** 2) * degrees_of_freedom /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:303: RuntimeWarning: divide by zero encountered in true_divide +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:304: RuntimeWarning: divide by zero encountered in true_divide + F = corr ** 2 / (1 - corr ** 2) * degrees_of_freedom +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:304: RuntimeWarning: divide by zero encountered in true_divide F = corr ** 2 / (1 - corr ** 2) * degrees_of_freedom /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars r = r_num / r_den -/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:303: RuntimeWarning: divide by zero encountered in true_divide +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:304: RuntimeWarning: divide by zero encountered in true_divide + F = corr ** 2 / (1 - corr ** 2) * degrees_of_freedom +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:304: RuntimeWarning: divide by zero encountered in true_divide F = corr ** 2 / (1 - corr ** 2) * degrees_of_freedom From b3aeb06b5b4f446029bbd4c771ab27ad81ef0d94 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 11:33:04 +0200 Subject: [PATCH 27/28] Added new log file references --- ...dation_test_air_passengers_cross_valid.log | 146 + ...lidation_test_air_passengers_slow_mode.log | 2386 ++++++++++ ...ross_validation_test_ozone_cross_valid.log | 133 + ...oss_validation_test_ozone_custom_split.log | 839 ++++ .../cross_validation_test_ozone_slow_mode.log | 4053 +++++++++++++++++ 5 files changed, 7557 insertions(+) create mode 100644 tests/references/cross_validation_test_air_passengers_cross_valid.log create mode 100644 tests/references/cross_validation_test_air_passengers_slow_mode.log create mode 100644 tests/references/cross_validation_test_ozone_cross_valid.log create mode 100644 tests/references/cross_validation_test_ozone_custom_split.log create mode 100644 tests/references/cross_validation_test_ozone_slow_mode.log diff --git a/tests/references/cross_validation_test_air_passengers_cross_valid.log b/tests/references/cross_validation_test_air_passengers_cross_valid.log new file mode 100644 index 000000000..cf023c4d1 --- /dev/null +++ b/tests/references/cross_validation_test_air_passengers_cross_valid.log @@ -0,0 +1,146 @@ +INFO:pyaf.std:START_TRAINING 'AirPassengers' +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.5, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.5, 0.1, 0.0) 3.355259895324707 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.6000000000000001, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.6000000000000001, 0.1, 0.0) 3.310852527618408 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.7000000000000001, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.7000000000000001, 0.1, 0.0) 2.9791314601898193 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.8, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.8, 0.1, 0.0) 3.0056872367858887 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.9, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.9, 0.1, 0.0) 2.985818862915039 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _AirPassengers 15.653203010559082 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 16.577959775924683 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1954.41666667 TimeDelta=0.0833333333334 Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [ConstantTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_AirPassengers_ConstantTrend' [ConstantTrend] +INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0438 MAPE_Forecast=0.0386 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0437 SMAPE_Forecast=0.0391 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4861 MASE_Forecast=0.4656 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=7.16446942527 L1_Forecast=10.7864133935 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=8.94276645142 L2_Forecast=12.3245123069 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 16 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag12 0.834574412746 +INFO:pyaf.std:AR_MODEL_COEFF 2 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag1 0.712371825017 +INFO:pyaf.std:AR_MODEL_COEFF 3 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag13 -0.40187874063 +INFO:pyaf.std:AR_MODEL_COEFF 4 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag25 -0.3896147659 +INFO:pyaf.std:AR_MODEL_COEFF 5 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag24 0.349659072314 +INFO:pyaf.std:AR_MODEL_COEFF 6 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag14 -0.235521664965 +INFO:pyaf.std:AR_MODEL_COEFF 7 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag15 0.157638607824 +INFO:pyaf.std:AR_MODEL_COEFF 8 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag22 0.138981029669 +INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag3 -0.126161148927 +INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag2 0.108465822036 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.779269218444824 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8672928810119629 + Split Transformation ... TestMAPE IC +0 (0.5, 0.1, 0.0) Diff_AirPassengers ... None 0 +1 (0.5, 0.1, 0.0) Diff_AirPassengers ... None 0 +2 (0.5, 0.1, 0.0) _AirPassengers ... None 1 +3 (0.5, 0.1, 0.0) Diff_AirPassengers ... None 0 +4 (0.5, 0.1, 0.0) _AirPassengers ... None 1 + +[5 rows x 9 columns] +Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', + 'time_Normalized', '_AirPassengers_ConstantTrend', + '_AirPassengers_ConstantTrend_residue', + '_AirPassengers_ConstantTrend_residue_zeroCycle', + '_AirPassengers_ConstantTrend_residue_zeroCycle_residue', + '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)', + '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)_residue', + '_AirPassengers_Trend', '_AirPassengers_Trend_residue', + '_AirPassengers_Cycle', '_AirPassengers_Cycle_residue', + '_AirPassengers_AR', '_AirPassengers_AR_residue', + '_AirPassengers_TransformedForecast', 'AirPassengers_Forecast', + '_AirPassengers_TransformedResidue', 'AirPassengers_Residue', + 'AirPassengers_Forecast_Lower_Bound', + 'AirPassengers_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 144 entries, 0 to 143 +Data columns (total 5 columns): +time 144 non-null float64 +AirPassengers 132 non-null float64 +AirPassengers_Forecast 144 non-null float64 +AirPassengers_Forecast_Lower_Bound 12 non-null float64 +AirPassengers_Forecast_Upper_Bound 12 non-null float64 +dtypes: float64(5) +memory usage: 5.7 KB +None +Forecasts + time ... AirPassengers_Forecast_Upper_Bound +120 1959.000000 ... NaN +121 1959.083333 ... NaN +122 1959.166667 ... NaN +123 1959.250000 ... NaN +124 1959.333333 ... NaN +125 1959.416667 ... NaN +126 1959.500000 ... NaN +127 1959.583333 ... NaN +128 1959.666667 ... NaN +129 1959.750000 ... NaN +130 1959.833333 ... NaN +131 1959.916667 ... NaN +132 1960.000000 ... 442.789238 +133 1960.083333 ... 422.808818 +134 1960.166667 ... 486.750543 +135 1960.250000 ... 499.056189 +136 1960.333333 ... 600.338129 +137 1960.416667 ... 806.361411 +138 1960.500000 ... 1157.254012 +139 1960.583333 ... 1581.582987 +140 1960.666667 ... 1953.092674 +141 1960.750000 ... 2654.672484 +142 1960.833333 ... 3604.944845 +143 1960.916667 ... 4758.794175 + +[24 rows x 5 columns] + + + +{ + "Dataset": { + "Signal": "AirPassengers", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1949.0", + "1959.91666667" + ], + "TimeVariable": "time" + }, + "Training_Signal_Length": 132 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "ConstantTrend" + }, + "Model_Performance": { + "COMPLEXITY": "16", + "MAE": "10.7864133935", + "MAPE": "0.0386", + "MASE": "0.4656", + "RMSE": "12.3245123069" + } +} + + + + + + +{"time":{"120":1959.0,"121":1959.0833333333,"122":1959.1666666667,"123":1959.25,"124":1959.3333333333,"125":1959.4166666667,"126":1959.5,"127":1959.5833333333,"128":1959.6666666667,"129":1959.75,"130":1959.8333333333,"131":1959.9166666667,"132":1960.0,"133":1960.0833333333,"134":1960.1666666667,"135":1960.25,"136":1960.3333333333,"137":1960.4166666667,"138":1960.5,"139":1960.5833333333,"140":1960.6666666667,"141":1960.75,"142":1960.8333333333,"143":1960.9166666667},"AirPassengers":{"120":360.0,"121":342.0,"122":406.0,"123":396.0,"124":420.0,"125":472.0,"126":548.0,"127":559.0,"128":463.0,"129":407.0,"130":362.0,"131":405.0,"132":null,"133":null,"134":null,"135":null,"136":null,"137":null,"138":null,"139":null,"140":null,"141":null,"142":null,"143":null},"AirPassengers_Forecast":{"120":354.9469969313,"121":332.8604972552,"122":392.5980383163,"123":389.5267157165,"124":400.7194169386,"125":488.0646390606,"126":526.3735128031,"127":550.8961466883,"128":448.139293608,"129":395.0985133281,"130":348.3937628617,"131":377.6799675279,"132":418.6331936292,"133":383.6588130987,"134":436.6839840551,"135":423.9458952184,"136":441.4548124051,"137":509.3634757547,"138":577.0987731586,"139":598.2130693945,"140":480.2004111087,"141":422.6921148294,"142":368.8873038151,"143":409.2363803474},"AirPassengers_Forecast_Lower_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":394.4771495077,"133":344.5088079526,"134":386.617424793,"135":348.8356018004,"136":282.5714954632,"137":212.3655408066,"138":-3.056465859,"139":-385.1568477769,"140":-992.6918520569,"141":-1809.2882546048,"142":-2867.1702370842,"143":-3940.3214142289},"AirPassengers_Forecast_Upper_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":442.7892377506,"133":422.8088182448,"134":486.7505433173,"135":499.0561886364,"136":600.3381293469,"137":806.3614107027,"138":1157.2540121762,"139":1581.582986566,"140":1953.0926742743,"141":2654.6724842637,"142":3604.9448447144,"143":4758.7941749237}} + + + diff --git a/tests/references/cross_validation_test_air_passengers_slow_mode.log b/tests/references/cross_validation_test_air_passengers_slow_mode.log new file mode 100644 index 000000000..36c3bd120 --- /dev/null +++ b/tests/references/cross_validation_test_air_passengers_slow_mode.log @@ -0,0 +1,2386 @@ +INFO:pyaf.std:START_TRAINING 'AirPassengers' +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.5, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. 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Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.5, 0.1, 0.0) 37.99950098991394 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.6000000000000001, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.6000000000000001, 0.1, 0.0) 36.83755159378052 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.7000000000000001, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.7000000000000001, 0.1, 0.0) 36.917970418930054 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.8, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.8, 0.1, 0.0) 37.37320947647095 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'AirPassengers' (0.9, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'AirPassengers' (0.9, 0.1, 0.0) 37.36097550392151 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _AirPassengers 186.51399517059326 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'AirPassengers' 188.92115426063538 +INFO:pyaf.std:TIME_DETAIL TimeVariable='time' TimeMin=1949.0 TimeMax=1954.41666667 TimeDelta=0.0833333333334 Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_AirPassengers' Min=104 Max=559 Mean=262.492424242 StdDev=106.221145545 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [ConstantTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_AirPassengers_ConstantTrend' [ConstantTrend] +INFO:pyaf.std:CYCLE_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.0438 MAPE_Forecast=0.0386 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.0437 SMAPE_Forecast=0.0391 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.4861 MASE_Forecast=0.4656 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=7.16446942527 L1_Forecast=10.7864133935 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=8.94276645142 L2_Forecast=12.3245123069 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 16 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag12 0.834574412746 +INFO:pyaf.std:AR_MODEL_COEFF 2 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag1 0.712371825017 +INFO:pyaf.std:AR_MODEL_COEFF 3 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag13 -0.40187874063 +INFO:pyaf.std:AR_MODEL_COEFF 4 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag25 -0.3896147659 +INFO:pyaf.std:AR_MODEL_COEFF 5 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag24 0.349659072314 +INFO:pyaf.std:AR_MODEL_COEFF 6 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag14 -0.235521664965 +INFO:pyaf.std:AR_MODEL_COEFF 7 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag15 0.157638607824 +INFO:pyaf.std:AR_MODEL_COEFF 8 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag22 0.138981029669 +INFO:pyaf.std:AR_MODEL_COEFF 9 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag3 -0.126161148927 +INFO:pyaf.std:AR_MODEL_COEFF 10 _AirPassengers_ConstantTrend_residue_zeroCycle_residue_Lag2 0.108465822036 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.78027081489563 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.8966057300567627 + Split Transformation ... TestMAPE IC +0 (0.5, 0.1, 0.0) Diff_AirPassengers ... None 0 +1 (0.5, 0.1, 0.0) CumSum_AirPassengers ... None 1 +2 (0.5, 0.1, 0.0) _AirPassengers ... None 1 +3 (0.5, 0.1, 0.0) _AirPassengers ... None 1 +4 (0.5, 0.1, 0.0) _AirPassengers ... None 1 + +[5 rows x 9 columns] +Forecast Columns Index(['time', 'AirPassengers', '_AirPassengers', 'row_number', + 'time_Normalized', '_AirPassengers_ConstantTrend', + '_AirPassengers_ConstantTrend_residue', + '_AirPassengers_ConstantTrend_residue_zeroCycle', + '_AirPassengers_ConstantTrend_residue_zeroCycle_residue', + '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)', + '_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)_residue', + '_AirPassengers_Trend', '_AirPassengers_Trend_residue', + '_AirPassengers_Cycle', '_AirPassengers_Cycle_residue', + '_AirPassengers_AR', '_AirPassengers_AR_residue', + '_AirPassengers_TransformedForecast', 'AirPassengers_Forecast', + '_AirPassengers_TransformedResidue', 'AirPassengers_Residue', + 'AirPassengers_Forecast_Lower_Bound', + 'AirPassengers_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 144 entries, 0 to 143 +Data columns (total 5 columns): +time 144 non-null float64 +AirPassengers 132 non-null float64 +AirPassengers_Forecast 144 non-null float64 +AirPassengers_Forecast_Lower_Bound 12 non-null float64 +AirPassengers_Forecast_Upper_Bound 12 non-null float64 +dtypes: float64(5) +memory usage: 5.7 KB +None +Forecasts + time ... AirPassengers_Forecast_Upper_Bound +120 1959.000000 ... NaN +121 1959.083333 ... NaN +122 1959.166667 ... NaN +123 1959.250000 ... NaN +124 1959.333333 ... NaN +125 1959.416667 ... NaN +126 1959.500000 ... NaN +127 1959.583333 ... NaN +128 1959.666667 ... NaN +129 1959.750000 ... NaN +130 1959.833333 ... NaN +131 1959.916667 ... NaN +132 1960.000000 ... 442.789238 +133 1960.083333 ... 422.808818 +134 1960.166667 ... 486.750543 +135 1960.250000 ... 499.056189 +136 1960.333333 ... 600.338129 +137 1960.416667 ... 806.361411 +138 1960.500000 ... 1157.254012 +139 1960.583333 ... 1581.582987 +140 1960.666667 ... 1953.092674 +141 1960.750000 ... 2654.672484 +142 1960.833333 ... 3604.944845 +143 1960.916667 ... 4758.794175 + +[24 rows x 5 columns] + + + +{ + "Dataset": { + "Signal": "AirPassengers", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1949.0", + "1959.91666667" + ], + "TimeVariable": "time" + }, + "Training_Signal_Length": 132 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "_AirPassengers_ConstantTrend_residue_zeroCycle_residue_AR(33)", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "ConstantTrend" + }, + "Model_Performance": { + "COMPLEXITY": "16", + "MAE": "10.7864133935", + "MAPE": "0.0386", + "MASE": "0.4656", + "RMSE": "12.3245123069" + } +} + + + + + + +{"time":{"120":1959.0,"121":1959.0833333333,"122":1959.1666666667,"123":1959.25,"124":1959.3333333333,"125":1959.4166666667,"126":1959.5,"127":1959.5833333333,"128":1959.6666666667,"129":1959.75,"130":1959.8333333333,"131":1959.9166666667,"132":1960.0,"133":1960.0833333333,"134":1960.1666666667,"135":1960.25,"136":1960.3333333333,"137":1960.4166666667,"138":1960.5,"139":1960.5833333333,"140":1960.6666666667,"141":1960.75,"142":1960.8333333333,"143":1960.9166666667},"AirPassengers":{"120":360.0,"121":342.0,"122":406.0,"123":396.0,"124":420.0,"125":472.0,"126":548.0,"127":559.0,"128":463.0,"129":407.0,"130":362.0,"131":405.0,"132":null,"133":null,"134":null,"135":null,"136":null,"137":null,"138":null,"139":null,"140":null,"141":null,"142":null,"143":null},"AirPassengers_Forecast":{"120":354.9469969313,"121":332.8604972552,"122":392.5980383163,"123":389.5267157165,"124":400.7194169386,"125":488.0646390606,"126":526.3735128031,"127":550.8961466883,"128":448.139293608,"129":395.0985133281,"130":348.3937628617,"131":377.6799675279,"132":418.6331936292,"133":383.6588130987,"134":436.6839840551,"135":423.9458952184,"136":441.4548124051,"137":509.3634757547,"138":577.0987731586,"139":598.2130693945,"140":480.2004111087,"141":422.6921148294,"142":368.8873038151,"143":409.2363803474},"AirPassengers_Forecast_Lower_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":394.4771495077,"133":344.5088079526,"134":386.617424793,"135":348.8356018004,"136":282.5714954632,"137":212.3655408066,"138":-3.056465859,"139":-385.1568477769,"140":-992.6918520569,"141":-1809.2882546048,"142":-2867.1702370842,"143":-3940.3214142289},"AirPassengers_Forecast_Upper_Bound":{"120":null,"121":null,"122":null,"123":null,"124":null,"125":null,"126":null,"127":null,"128":null,"129":null,"130":null,"131":null,"132":442.7892377506,"133":422.8088182448,"134":486.7505433173,"135":499.0561886364,"136":600.3381293469,"137":806.3614107027,"138":1157.2540121762,"139":1581.582986566,"140":1953.0926742743,"141":2654.6724842637,"142":3604.9448447144,"143":4758.7941749237}} + + + +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. 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Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) diff --git a/tests/references/cross_validation_test_ozone_cross_valid.log b/tests/references/cross_validation_test_ozone_cross_valid.log new file mode 100644 index 000000000..d56933af4 --- /dev/null +++ b/tests/references/cross_validation_test_ozone_cross_valid.log @@ -0,0 +1,133 @@ +INFO:pyaf.std:START_TRAINING 'Ozone' +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.5, 0.1, 0.0) + Month Ozone Time +0 1955-01 2.7 1955-01-01 +1 1955-02 2.0 1955-02-01 +2 1955-03 3.6 1955-03-01 +3 1955-04 5.0 1955-04-01 +4 1955-05 6.5 1955-05-01 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.5, 0.1, 0.0) 3.793642997741699 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.6000000000000001, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.6000000000000001, 0.1, 0.0) 5.09158730506897 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.7000000000000001, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.7000000000000001, 0.1, 0.0) 4.846722602844238 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.8, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.8, 0.1, 0.0) 5.686001300811768 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.9, 0.1, 0.0) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.9, 0.1, 0.0) 6.78511381149292 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _Ozone 26.22016978263855 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 27.297723531723022 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1963-06-01T00:00:00.000000 TimeDelta= Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1716 MAPE_Forecast=0.1873 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1613 SMAPE_Forecast=0.1965 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7556 MASE_Forecast=0.7838 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=0.675552244142 L1_Forecast=0.57341721817 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=0.878481645819 L2_Forecast=0.679558152864 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 41 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.481781751703 +INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.240785792851 +INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.204790527518 +INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.166021425709 +INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.156014932355 +INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.144804534505 +INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag16 -0.123968903197 +INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag22 0.10993150122 +INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag8 -0.106872007062 +INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag41 0.102055529739 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.267369270324707 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9781370162963867 + Split Transformation ... TestMAPE IC +0 (0.5, 0.1, 0.0) _Ozone ... None 1 +1 (0.5, 0.1, 0.0) _Ozone ... None 0 +2 (0.5, 0.1, 0.0) _Ozone ... None 0 +3 (0.5, 0.1, 0.0) Diff_Ozone ... None 0 +4 (0.5, 0.1, 0.0) _Ozone ... None 0 + +[5 rows x 9 columns] +Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', + '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', + '_Ozone_LinearTrend_residue_zeroCycle', + '_Ozone_LinearTrend_residue_zeroCycle_residue', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)_residue', + '_Ozone_Trend', '_Ozone_Trend_residue', '_Ozone_Cycle', + '_Ozone_Cycle_residue', '_Ozone_AR', '_Ozone_AR_residue', + '_Ozone_TransformedForecast', 'Ozone_Forecast', + '_Ozone_TransformedResidue', 'Ozone_Residue', + 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 216 entries, 0 to 215 +Data columns (total 3 columns): +Time 216 non-null datetime64[ns] +Ozone 204 non-null float64 +Ozone_Forecast 216 non-null float64 +dtypes: datetime64[ns](1), float64(2) +memory usage: 5.1 KB +None +Forecasts + Time Ozone Ozone_Forecast +204 1972-01-01 NaN 0.285624 +205 1972-02-01 NaN 0.738594 +206 1972-03-01 NaN 0.515769 +207 1972-04-01 NaN 1.123423 +208 1972-05-01 NaN 1.030676 +209 1972-06-01 NaN 1.801763 +210 1972-07-01 NaN 1.610546 +211 1972-08-01 NaN 1.645255 +212 1972-09-01 NaN 1.140365 +213 1972-10-01 NaN 0.941300 +214 1972-11-01 NaN 0.287191 +215 1972-12-01 NaN 0.063853 + + + +{ + "Dataset": { + "Signal": "Ozone", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1955-01-01 00:00:00", + "1971-12-01 00:00:00" + ], + "TimeVariable": "Time" + }, + "Training_Signal_Length": 204 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "LinearTrend" + }, + "Model_Performance": { + "COMPLEXITY": "41", + "MAE": "0.57341721817", + "MAPE": "0.1873", + "MASE": "0.7838", + "RMSE": "0.679558152864" + } +} + + + + + + +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":0.7374381707,"193":1.1320086299,"194":1.8549839453,"195":1.2883584088,"196":2.5112248895,"197":2.5574173159,"198":3.1928923511,"199":2.5688374073,"200":2.0571623293,"201":1.4624391751,"202":1.1275875442,"203":0.5646769855,"204":0.2856243781,"205":0.7385938903,"206":0.5157685586,"207":1.1234230133,"208":1.0306755197,"209":1.8017628552,"210":1.6105459481,"211":1.6452553303,"212":1.1403645026,"213":0.9413002388,"214":0.287190989,"215":0.0638531478}} + + + diff --git a/tests/references/cross_validation_test_ozone_custom_split.log b/tests/references/cross_validation_test_ozone_custom_split.log new file mode 100644 index 000000000..858d2cb4f --- /dev/null +++ b/tests/references/cross_validation_test_ozone_custom_split.log @@ -0,0 +1,839 @@ +INFO:pyaf.std:START_TRAINING 'Ozone' + Month Ozone Time +0 1955-01 2.7 1955-01-01 +1 1955-02 2.0 1955-02-01 +2 1955-03 3.6 1955-03-01 +3 1955-04 5.0 1955-04-01 +4 1955-05 6.5 1955-05-01 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_AR 18 0.5151 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.4049 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_AR 10 0.2751 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.4583 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_AR 50 0.3328 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2045 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_AR 42 0.295 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.1989 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_AR 34 0.4085 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.34 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_AR 26 0.2442 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.4071 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_AR 34 1.006 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.9122 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_AR 26 0.5201 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.8672 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_AR 50 0.784 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.482 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_AR 42 1.0796 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.42 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_AR 82 1.7265 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.7729 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_AR 74 0.5117 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.1989 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_AR 66 4.1578 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 1.6552 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_AR 58 2.1818 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 1.7667 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_AR 66 4.3704 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 1.7815 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_AR 58 2.4078 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 1.8937 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 50 1.2996 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 34.2431 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 42 73.5944 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 337.6127 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 82 1.2093 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 0.642 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 74 0.7321 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.1989 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 66 0.7567 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 1.4706 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 58 3.4172 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 8.9936 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 66 5.1824 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 50.7309 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 58 505.7789 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 523.8571 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_AR 50 0.279 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 1.7109 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 42 0.2273 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_AR 82 0.3142 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2442 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 74 0.3348 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.1989 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_AR 66 0.2716 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.4918 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_AR 58 0.2176 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.3219 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_AR 66 0.3635 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 2.7853 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_AR 58 0.3303 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.2, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 2.7889 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 4.692502021789551 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1958-04-01T00:00:00.000000 TimeDelta= Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR' [Lag1Trend + NoCycle + NoAR] +INFO:pyaf.std:TREND_DETAIL '_Ozone_Lag1Trend' [Lag1Trend] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_Lag1Trend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR' [NoAR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.2337 MAPE_Forecast=0.1989 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.2189 SMAPE_Forecast=0.1942 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.975 MASE_Forecast=0.9782 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=1.0875 L1_Forecast=0.755 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=1.4409198451 L2_Forecast=1.03004854255 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 32 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 6.730942964553833 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.727924108505249 +INFO:pyaf.std:START_TRAINING 'Ozone' +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_AR 28 0.2568 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.4564 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_AR 20 0.2906 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.5953 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_AR 60 0.2168 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2519 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_AR 52 0.2381 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2601 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_AR 44 0.2767 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.2122 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_AR 36 0.1965 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3558 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_AR 44 0.4709 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.5097 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_AR 36 0.3206 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.4754 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_AR 60 1.6518 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.5072 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_AR 52 0.8805 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.5024 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_AR 92 0.7172 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.2466 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_AR 84 0.258 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2601 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_AR 76 2.1698 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.5488 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_AR 68 1.6159 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.5529 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_AR 76 0.6471 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.9207 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_AR 68 0.7226 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 0.9021 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 60 15.0696 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 12596.4928 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 52 21.7522 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 18972.566 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 92 5.4561 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 0.3657 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 84 2.3144 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2601 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 76 8.2051 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 4033.1679 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 68 12.9027 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 6061.9398 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 76 56.7243 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 46670.3929 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 68 93.729 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 70319.758 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_AR 60 0.3117 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 1.7188 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 52 0.2964 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_AR 92 0.4009 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.3187 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 84 0.3589 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2601 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_AR 76 0.3647 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.5585 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_AR 68 0.3018 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.4821 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_AR 76 0.3132 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 1.5366 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_AR 68 0.3759 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.4, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 1.5403 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 5.224452018737793 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1961-09-01T00:00:00.000000 TimeDelta= Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1621 MAPE_Forecast=0.1965 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1516 SMAPE_Forecast=0.193 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7508 MASE_Forecast=0.7861 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=0.694449795566 L1_Forecast=0.61680386133 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=0.926642220359 L2_Forecast=0.758724874583 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 36 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.521270531957 +INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.298312804794 +INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.228297567668 +INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.215992939771 +INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.206168056486 +INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag41 0.169287060124 +INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag13 -0.150822198667 +INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.120032346688 +INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag23 0.106696151903 +INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag5 -0.0951602356934 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.123750925064087 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9832134246826172 + Split Transformation ... TestMAPE TestMASE +0 (0.2, 0.2, 0.0) _Ozone ... None None +4 (0.2, 0.2, 0.0) _Ozone ... None None +1 (0.2, 0.2, 0.0) CumSum_Ozone ... None None +2 (0.2, 0.2, 0.0) Diff_Ozone ... None None +3 (0.2, 0.2, 0.0) RelDiff_Ozone ... None None + +[5 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 (0.2, 0.2, 0.0) _Ozone ... None None +1 (0.2, 0.2, 0.0) CumSum_Ozone ... None None +2 (0.2, 0.2, 0.0) Diff_Ozone ... None None +3 (0.2, 0.2, 0.0) RelDiff_Ozone ... None None +4 (0.2, 0.2, 0.0) _Ozone ... None None + +[5 rows x 20 columns] +5 +Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', + '_Ozone_Lag1Trend', '_Ozone_Lag1Trend_residue', + '_Ozone_Lag1Trend_residue_zeroCycle', + '_Ozone_Lag1Trend_residue_zeroCycle_residue', + '_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR', + '_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR_residue', + '_Ozone_Trend', '_Ozone_Trend_residue', '_Ozone_Cycle', + '_Ozone_Cycle_residue', '_Ozone_AR', '_Ozone_AR_residue', + '_Ozone_TransformedForecast', 'Ozone_Forecast', + '_Ozone_TransformedResidue', 'Ozone_Residue', + 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 216 entries, 0 to 215 +Data columns (total 3 columns): +Time 216 non-null datetime64[ns] +Ozone 204 non-null float64 +Ozone_Forecast 216 non-null float64 +dtypes: datetime64[ns](1), float64(2) +memory usage: 5.1 KB +None +Forecasts + Time Ozone Ozone_Forecast +204 1972-01-01 NaN 1.2 +205 1972-02-01 NaN 1.2 +206 1972-03-01 NaN 1.2 +207 1972-04-01 NaN 1.2 +208 1972-05-01 NaN 1.2 +209 1972-06-01 NaN 1.2 +210 1972-07-01 NaN 1.2 +211 1972-08-01 NaN 1.2 +212 1972-09-01 NaN 1.2 +213 1972-10-01 NaN 1.2 +214 1972-11-01 NaN 1.2 +215 1972-12-01 NaN 1.2 + + + +{ + "Dataset": { + "Signal": "Ozone", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1955-01-01 00:00:00", + "1971-12-01 00:00:00" + ], + "TimeVariable": "Time" + }, + "Training_Signal_Length": 204 + }, + "Model": { + "AR_Model": "NoAR", + "Best_Decomposition": "_Ozone_Lag1Trend_residue_zeroCycle_residue_NoAR", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "Lag1Trend" + }, + "Model_Performance": { + "COMPLEXITY": "32", + "MAE": "0.755", + "MAPE": "0.1989", + "MASE": "0.9782", + "RMSE": "1.03004854255" + } +} + + + + + + +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":1.3,"193":1.8,"194":2.0,"195":2.2,"196":3.0,"197":2.4,"198":3.5,"199":3.5,"200":3.3,"201":2.7,"202":2.5,"203":1.6,"204":1.2,"205":1.2,"206":1.2,"207":1.2,"208":1.2,"209":1.2,"210":1.2,"211":1.2,"212":1.2,"213":1.2,"214":1.2,"215":1.2}} + + + + Month Ozone Time +0 1955-01 2.7 1955-01-01 +1 1955-02 2.0 1955-02-01 +2 1955-03 3.6 1955-03-01 +3 1955-04 5.0 1955-04-01 +4 1955-05 6.5 1955-05-01 + Split Transformation ... TestMAPE TestMASE +0 (0.4, 0.2, 0.0) _Ozone ... None None + +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 (0.4, 0.2, 0.0) _Ozone ... None None +1 (0.4, 0.2, 0.0) _Ozone ... None None +2 (0.4, 0.2, 0.0) _Ozone ... None None +3 (0.4, 0.2, 0.0) _Ozone ... None None +4 (0.4, 0.2, 0.0) Diff_Ozone ... None None + +[5 rows x 20 columns] +5 +Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', + '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', + '_Ozone_LinearTrend_residue_zeroCycle', + '_Ozone_LinearTrend_residue_zeroCycle_residue', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)_residue', + '_Ozone_Trend', '_Ozone_Trend_residue', '_Ozone_Cycle', + '_Ozone_Cycle_residue', '_Ozone_AR', '_Ozone_AR_residue', + '_Ozone_TransformedForecast', 'Ozone_Forecast', + '_Ozone_TransformedResidue', 'Ozone_Residue', + 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 216 entries, 0 to 215 +Data columns (total 3 columns): +Time 216 non-null datetime64[ns] +Ozone 204 non-null float64 +Ozone_Forecast 216 non-null float64 +dtypes: datetime64[ns](1), float64(2) +memory usage: 5.1 KB +None +Forecasts + Time Ozone Ozone_Forecast +204 1972-01-01 NaN 0.232341 +205 1972-02-01 NaN 0.819692 +206 1972-03-01 NaN 0.559729 +207 1972-04-01 NaN 1.336053 +208 1972-05-01 NaN 1.050237 +209 1972-06-01 NaN 2.011558 +210 1972-07-01 NaN 1.646154 +211 1972-08-01 NaN 1.842919 +212 1972-09-01 NaN 1.131399 +213 1972-10-01 NaN 1.036558 +214 1972-11-01 NaN 0.377937 +215 1972-12-01 NaN 0.105218 + + + +{ + "Dataset": { + "Signal": "Ozone", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1955-01-01 00:00:00", + "1971-12-01 00:00:00" + ], + "TimeVariable": "Time" + }, + "Training_Signal_Length": 204 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "LinearTrend" + }, + "Model_Performance": { + "COMPLEXITY": "36", + "MAE": "0.61680386133", + "MAPE": "0.1965", + "MASE": "0.7861", + "RMSE": "0.758724874583" + } +} + + + + + + +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":0.8177870311,"193":0.9335066333,"194":1.9656940238,"195":1.5870601531,"196":2.6161552563,"197":2.37585982,"198":3.5305417191,"199":2.5511717876,"200":2.148475864,"201":1.1758001519,"202":1.3746940765,"203":0.8704251887,"204":0.2323413404,"205":0.8196924543,"206":0.5597287829,"207":1.3360533972,"208":1.0502371969,"209":2.0115577582,"210":1.6461542711,"211":1.8429193325,"212":1.1313987102,"213":1.0365575253,"214":0.377936536,"215":0.1052178431}}INFO:pyaf.std:START_TRAINING 'Ozone' +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 34 0.2206 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 0.2774 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_AR 38 0.2206 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.2774 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_AR 30 0.2564 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.4641 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 66 0.2298 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.2513 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_AR 70 0.2298 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2513 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_AR 62 0.2493 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2692 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 50 0.2615 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.275 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_AR 54 0.2615 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.275 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_AR 46 0.202 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3446 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 50 0.2834 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.3125 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_AR 54 0.2834 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.3125 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_AR 46 0.224 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.3537 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 66 0.1849 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.3415 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_AR 70 0.1849 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.3415 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_AR 62 0.3303 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.3445 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 98 0.3019 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.33 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_AR 102 0.3119 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.3066 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_AR 94 0.3996 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2692 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 82 0.519 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.3134 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_AR 86 0.519 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.3134 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_AR 78 0.2375 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.61 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 82 0.3415 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.3536 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_AR 86 0.3415 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 0.3536 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_AR 78 0.6325 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 0.3468 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 66 78.8058 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 2115990.9849 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 70 78.8058 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 2115990.9849 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 62 117.214 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 40825271.5565 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 98 0.6165 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 1.3695 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 102 0.6139 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 0.7041 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 94 0.6061 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2692 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 82 240.8568 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 18450190.5188 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 86 240.8568 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 18450190.5188 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 78 282.7209 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 43636851.3725 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 82 5248610.7866 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 31743726.554 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 86 5248610.7866 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 31743726.554 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 78 8251328.373 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 44733479.5454 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 66 0.3521 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 2.073 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_AR 70 0.3652 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 1.4659 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 62 0.3283 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 98 0.4469 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.2609 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_AR 102 0.4469 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2609 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 94 0.3437 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2692 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 82 0.3002 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.4136 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_AR 86 0.3002 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.4136 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_AR 78 0.2934 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.396 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 82 0.3018 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 0.8404 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_AR 86 0.3018 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 0.8404 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_AR 78 0.3163 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.6000000000000001, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 0.7022 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 6.6897666454315186 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1965-02-01T00:00:00.000000 TimeDelta= Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Diff_Ozone' Min=-4.3 Max=3.5 Mean=-0.00735294117647 StdDev=1.10311273176 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE 'Diff_' +INFO:pyaf.std:BEST_DECOMPOSITION 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51)' [ConstantTrend + Seasonal_MonthOfYear + AR] +INFO:pyaf.std:TREND_DETAIL 'Diff_Ozone_ConstantTrend' [ConstantTrend] +INFO:pyaf.std:CYCLE_DETAIL 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear' [Seasonal_MonthOfYear] +INFO:pyaf.std:AUTOREG_DETAIL 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.2671 MAPE_Forecast=0.1849 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.2682 SMAPE_Forecast=0.1787 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=1.1813 MASE_Forecast=0.6973 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=1.02898808911 L1_Forecast=0.625749419533 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=1.33287574447 L2_Forecast=0.852364386328 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 66 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag1 -0.347231179152 +INFO:pyaf.std:AR_MODEL_COEFF 2 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag2 -0.235586405917 +INFO:pyaf.std:AR_MODEL_COEFF 3 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag39 -0.17547574156 +INFO:pyaf.std:AR_MODEL_COEFF 4 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag10 0.163119317414 +INFO:pyaf.std:AR_MODEL_COEFF 5 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag6 0.137192243 +INFO:pyaf.std:AR_MODEL_COEFF 6 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag27 0.136084975698 +INFO:pyaf.std:AR_MODEL_COEFF 7 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag22 0.115538298797 +INFO:pyaf.std:AR_MODEL_COEFF 8 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag15 -0.114072365272 +INFO:pyaf.std:AR_MODEL_COEFF 9 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag4 0.106158116827 +INFO:pyaf.std:AR_MODEL_COEFF 10 Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_Lag17 -0.103797984774 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.232232093811035 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.016465425491333 +INFO:pyaf.std:START_TRAINING 'Ozone' +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_AR 44 0.2143 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Seasonal_MonthOfYear_NoAR 4 0.4655 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_AR 48 0.2143 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_Cycle_NoAR 8 0.4655 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_AR 40 0.2323 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_ConstantTrend_NoCycle_NoAR 0 0.5782 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_AR 76 0.2112 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Seasonal_MonthOfYear_NoAR 36 0.2111 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_AR 80 0.2112 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_Cycle_NoAR 40 0.2111 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_AR 72 0.19 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_Lag1Trend_NoCycle_NoAR 32 0.2594 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_AR 60 0.2184 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Seasonal_MonthOfYear_NoAR 20 0.2023 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_AR 64 0.2184 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_LinearTrend_Cycle_NoAR 24 0.2023 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_AR 56 0.1536 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_LinearTrend_NoCycle_NoAR 16 0.3146 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_AR 60 0.2409 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Seasonal_MonthOfYear_NoAR 20 0.2704 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_AR 64 0.2409 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_PolyTrend_Cycle_NoAR 24 0.2704 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_AR 56 0.1746 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) _Ozone NoTransf_PolyTrend_NoCycle_NoAR 16 0.41 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_AR 76 0.5303 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 0.2822 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_AR 80 0.5303 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_Cycle_NoAR 40 0.2822 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_AR 72 0.1991 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_ConstantTrend_NoCycle_NoAR 32 0.9729 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_AR 108 0.2895 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.355 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_AR 112 0.2015 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_Cycle_NoAR 72 0.6033 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_AR 104 0.208 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_Lag1Trend_NoCycle_NoAR 64 0.2594 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_AR 92 0.4002 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.2309 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_AR 96 0.4002 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_Cycle_NoAR 56 0.2309 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_AR 88 0.189 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_LinearTrend_NoCycle_NoAR 48 0.89 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_AR 92 2.8401 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 1.2938 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_AR 96 2.8401 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_Cycle_NoAR 56 1.2938 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_AR 88 1.2655 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) Diff_Ozone Difference_PolyTrend_NoCycle_NoAR 48 2.0025 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_AR 76 3382.7383 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 51909200.1171 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_AR 80 3382.7383 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_Cycle_NoAR 40 51909200.1171 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_AR 72 632.4093 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_ConstantTrend_NoCycle_NoAR 32 56918349.4245 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_AR 108 60717.5885 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 3.1361 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_AR 112 60717.5885 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_Cycle_NoAR 72 3.1361 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_AR 104 1.0037 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_Lag1Trend_NoCycle_NoAR 64 0.2594 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_AR 92 5496.004 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Seasonal_MonthOfYear_NoAR 52 53434785.6865 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_AR 96 5496.004 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_Cycle_NoAR 56 53434785.6865 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_AR 88 482.3516 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_LinearTrend_NoCycle_NoAR 48 56918349.4245 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_AR 92 18746.0632 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Seasonal_MonthOfYear_NoAR 52 54364278.5432 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_AR 96 18746.0632 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_Cycle_NoAR 56 54364278.5432 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_AR 88 17841.4926 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) RelDiff_Ozone RelativeDifference_PolyTrend_NoCycle_NoAR 48 56918349.4245 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_AR 76 0.4252 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Seasonal_MonthOfYear_NoAR 36 2.0772 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_AR 80 0.4252 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_Cycle_NoAR 40 2.0772 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_AR 72 0.3242 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_ConstantTrend_NoCycle_NoAR 32 1.0 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_AR 108 0.3009 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Seasonal_MonthOfYear_NoAR 68 0.2159 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_AR 112 0.3009 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_Cycle_NoAR 72 0.2159 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_AR 104 0.333 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_Lag1Trend_NoCycle_NoAR 64 0.2594 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_AR 92 0.3718 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Seasonal_MonthOfYear_NoAR 52 0.5953 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_AR 96 0.3627 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_Cycle_NoAR 56 0.5007 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_AR 88 0.3461 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_LinearTrend_NoCycle_NoAR 48 0.4632 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_AR 92 0.3665 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Seasonal_MonthOfYear_NoAR 52 1.0023 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_AR 96 0.3833 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_Cycle_NoAR 56 0.8492 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_AR 88 0.352 +INFO:pyaf.std:collectPerformanceIndices : MAPE (0.8, 0.2, 0.0) CumSum_Ozone Integration_PolyTrend_NoCycle_NoAR 48 0.816 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 7.575283765792847 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1968-07-01T00:00:00.000000 TimeDelta= Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1595 MAPE_Forecast=0.1536 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1506 SMAPE_Forecast=0.1601 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.6824 MASE_Forecast=0.6692 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=0.598133079361 L1_Forecast=0.470138680761 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=0.803765511961 L2_Forecast=0.595528281173 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 56 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.40986002307 +INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.18675857679 +INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.174477254535 +INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag36 0.17161175652 +INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.163314865904 +INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.149199088367 +INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag20 -0.118478573045 +INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag4 0.110570118636 +INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.104890066639 +INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag35 -0.104362897821 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.153332233428955 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 1.000828504562378 + + + + + Month Ozone Time +0 1955-01 2.7 1955-01-01 +1 1955-02 2.0 1955-02-01 +2 1955-03 3.6 1955-03-01 +3 1955-04 5.0 1955-04-01 +4 1955-05 6.5 1955-05-01 + Split Transformation ... TestMAPE TestMASE +0 (0.6000000000000001, 0.2, 0.0) Diff_Ozone ... None None +1 (0.6000000000000001, 0.2, 0.0) Diff_Ozone ... None None + +[2 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 (0.6000000000000001, 0.2, 0.0) Diff_Ozone ... None None +1 (0.6000000000000001, 0.2, 0.0) Diff_Ozone ... None None +2 (0.6000000000000001, 0.2, 0.0) _Ozone ... None None +3 (0.6000000000000001, 0.2, 0.0) _Ozone ... None None +4 (0.6000000000000001, 0.2, 0.0) _Ozone ... None None + +[5 rows x 20 columns] +5 +Forecast Columns Index(['Time', 'Ozone', 'Diff_Ozone', 'row_number', 'Time_Normalized', + 'Diff_Ozone_ConstantTrend', 'Diff_Ozone_ConstantTrend_residue', + 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear', + 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue', + 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51)', + 'Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51)_residue', + 'Diff_Ozone_Trend', 'Diff_Ozone_Trend_residue', 'Diff_Ozone_Cycle', + 'Diff_Ozone_Cycle_residue', 'Diff_Ozone_AR', 'Diff_Ozone_AR_residue', + 'Diff_Ozone_TransformedForecast', 'Ozone_Forecast', + 'Diff_Ozone_TransformedResidue', 'Ozone_Residue', + 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 216 entries, 0 to 215 +Data columns (total 3 columns): +Time 216 non-null datetime64[ns] +Ozone 204 non-null float64 +Ozone_Forecast 216 non-null float64 +dtypes: datetime64[ns](1), float64(2) +memory usage: 5.1 KB +None +Forecasts + Time Ozone Ozone_Forecast +204 1972-01-01 NaN 1.385589 +205 1972-02-01 NaN 1.936730 +206 1972-03-01 NaN 2.247489 +207 1972-04-01 NaN 2.300576 +208 1972-05-01 NaN 2.928478 +209 1972-06-01 NaN 3.783351 +210 1972-07-01 NaN 3.939321 +211 1972-08-01 NaN 3.730076 +212 1972-09-01 NaN 4.277110 +213 1972-10-01 NaN 3.478230 +214 1972-11-01 NaN 3.051165 +215 1972-12-01 NaN 2.228496 + + + +{ + "Dataset": { + "Signal": "Ozone", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1955-01-01 00:00:00", + "1971-12-01 00:00:00" + ], + "TimeVariable": "Time" + }, + "Training_Signal_Length": 204 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "Diff_Ozone_ConstantTrend_residue_Seasonal_MonthOfYear_residue_AR(51)", + "Cycle": "Seasonal_MonthOfYear", + "Signal_Transoformation": "Difference", + "Trend": "ConstantTrend" + }, + "Model_Performance": { + "COMPLEXITY": "66", + "MAE": "0.625749419533", + "MAPE": "0.1849", + "MASE": "0.6973", + "RMSE": "0.852364386328" + } +} + + + + + + +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":1.660420297,"193":2.3340752493,"194":2.2690711924,"195":2.7031866266,"196":2.2189539284,"197":4.1689382655,"198":4.5583808066,"199":4.3746529187,"200":4.6382485386,"201":4.2786934801,"202":4.061952721,"203":2.4743298252,"204":1.3855893349,"205":1.9367302009,"206":2.247489359,"207":2.3005762319,"208":2.9284778454,"209":3.7833507354,"210":3.9393207579,"211":3.7300761019,"212":4.2771097315,"213":3.4782303048,"214":3.0511646704,"215":2.2284964721}} + + + + Month Ozone Time +0 1955-01 2.7 1955-01-01 +1 1955-02 2.0 1955-02-01 +2 1955-03 3.6 1955-03-01 +3 1955-04 5.0 1955-04-01 +4 1955-05 6.5 1955-05-01 + Split Transformation ... TestMAPE TestMASE +0 (0.8, 0.2, 0.0) _Ozone ... None None + +[1 rows x 20 columns] + Split Transformation ... TestMAPE TestMASE +0 (0.8, 0.2, 0.0) _Ozone ... None None +1 (0.8, 0.2, 0.0) _Ozone ... None None +2 (0.8, 0.2, 0.0) Diff_Ozone ... None None +3 (0.8, 0.2, 0.0) _Ozone ... None None +4 (0.8, 0.2, 0.0) Diff_Ozone ... None None + +[5 rows x 20 columns] +5 +Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', + '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', + '_Ozone_LinearTrend_residue_zeroCycle', + '_Ozone_LinearTrend_residue_zeroCycle_residue', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)_residue', + '_Ozone_Trend', '_Ozone_Trend_residue', '_Ozone_Cycle', + '_Ozone_Cycle_residue', '_Ozone_AR', '_Ozone_AR_residue', + '_Ozone_TransformedForecast', 'Ozone_Forecast', + '_Ozone_TransformedResidue', 'Ozone_Residue', + 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 216 entries, 0 to 215 +Data columns (total 3 columns): +Time 216 non-null datetime64[ns] +Ozone 204 non-null float64 +Ozone_Forecast 216 non-null float64 +dtypes: datetime64[ns](1), float64(2) +memory usage: 5.1 KB +None +Forecasts + Time Ozone Ozone_Forecast +204 1972-01-01 NaN 0.630228 +205 1972-02-01 NaN 1.715126 +206 1972-03-01 NaN 2.094236 +207 1972-04-01 NaN 2.593447 +208 1972-05-01 NaN 2.711910 +209 1972-06-01 NaN 3.231872 +210 1972-07-01 NaN 3.223992 +211 1972-08-01 NaN 3.622499 +212 1972-09-01 NaN 3.048997 +213 1972-10-01 NaN 2.348002 +214 1972-11-01 NaN 1.491648 +215 1972-12-01 NaN 1.029668 + + + +{ + "Dataset": { + "Signal": "Ozone", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1955-01-01 00:00:00", + "1971-12-01 00:00:00" + ], + "TimeVariable": "Time" + }, + "Training_Signal_Length": 204 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "LinearTrend" + }, + "Model_Performance": { + "COMPLEXITY": "56", + "MAE": "0.470138680761", + "MAPE": "0.1536", + "MASE": "0.6692", + "RMSE": "0.595528281173" + } +} + + + + + + +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":1.1936290488,"193":1.9652801069,"194":2.7710493496,"195":2.1132841078,"196":3.3137858962,"197":2.9529351246,"198":4.3624912205,"199":3.3817291746,"200":3.10289664,"201":2.4811328438,"202":1.6810151461,"203":1.0653791331,"204":0.6302278277,"205":1.7151257289,"206":2.0942359393,"207":2.5934473858,"208":2.711910371,"209":3.2318722159,"210":3.2239924947,"211":3.6224994091,"212":3.0489972433,"213":2.3480015514,"214":1.4916478749,"215":1.0296679146}} + + + +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/scipy/stats/stats.py:3010: RuntimeWarning: invalid value encountered in double_scalars + r = r_num / r_den diff --git a/tests/references/cross_validation_test_ozone_slow_mode.log b/tests/references/cross_validation_test_ozone_slow_mode.log new file mode 100644 index 000000000..f644daebf --- /dev/null +++ b/tests/references/cross_validation_test_ozone_slow_mode.log @@ -0,0 +1,4053 @@ +INFO:pyaf.std:START_TRAINING 'Ozone' +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.5, 0.1, 0.0) + Month Ozone Time +0 1955-01 2.7 1955-01-01 +1 1955-02 2.0 1955-02-01 +2 1955-03 3.6 1955-03-01 +3 1955-04 5.0 1955-04-01 +4 1955-05 6.5 1955-05-01 +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.5, 0.1, 0.0) 55.66729545593262 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.6000000000000001, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.6000000000000001, 0.1, 0.0) 79.79194760322571 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.7000000000000001, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.7000000000000001, 0.1, 0.0) 81.01164293289185 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.8, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.8, 0.1, 0.0) 88.3404541015625 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SIGNAL_SPLIT 'Ozone' (0.9, 0.1, 0.0) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_SPLIT_TIME_IN_SECONDS 'Ozone' (0.9, 0.1, 0.0) 99.88693404197693 +INFO:pyaf.std:CROSS_VALIDATION_TRAINING_TIME_IN_SECONDS _Ozone 404.72853994369507 +INFO:pyaf.std:END_TRAINING_TIME_IN_SECONDS 'Ozone' 408.58871841430664 +INFO:pyaf.std:TIME_DETAIL TimeVariable='Time' TimeMin=1955-01-01T00:00:00.000000 TimeMax=1963-06-01T00:00:00.000000 TimeDelta= Horizon=12 +INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_Ozone' Min=1.2 Max=8.7 Mean=3.83578431373 StdDev=1.49155921594 +INFO:pyaf.std:BEST_TRANSOFORMATION_TYPE '_' +INFO:pyaf.std:BEST_DECOMPOSITION '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [LinearTrend + NoCycle + AR] +INFO:pyaf.std:TREND_DETAIL '_Ozone_LinearTrend' [LinearTrend] +INFO:pyaf.std:CYCLE_DETAIL '_Ozone_LinearTrend_residue_zeroCycle' [NoCycle] +INFO:pyaf.std:AUTOREG_DETAIL '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)' [AR] +INFO:pyaf.std:MODEL_MAPE MAPE_Fit=0.1716 MAPE_Forecast=0.1873 MAPE_Test=None +INFO:pyaf.std:MODEL_SMAPE SMAPE_Fit=0.1613 SMAPE_Forecast=0.1965 SMAPE_Test=None +INFO:pyaf.std:MODEL_MASE MASE_Fit=0.7556 MASE_Forecast=0.7838 MASE_Test=None +INFO:pyaf.std:MODEL_L1 L1_Fit=0.675552244142 L1_Forecast=0.57341721817 L1_Test=None +INFO:pyaf.std:MODEL_L2 L2_Fit=0.878481645819 L2_Forecast=0.679558152864 L2_Test=None +INFO:pyaf.std:MODEL_COMPLEXITY 41 +INFO:pyaf.std:AR_MODEL_DETAIL_START +INFO:pyaf.std:AR_MODEL_COEFF 1 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag1 0.481781751703 +INFO:pyaf.std:AR_MODEL_COEFF 2 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag10 0.240785792851 +INFO:pyaf.std:AR_MODEL_COEFF 3 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag12 0.204790527518 +INFO:pyaf.std:AR_MODEL_COEFF 4 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag7 -0.166021425709 +INFO:pyaf.std:AR_MODEL_COEFF 5 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag29 -0.156014932355 +INFO:pyaf.std:AR_MODEL_COEFF 6 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag30 0.144804534505 +INFO:pyaf.std:AR_MODEL_COEFF 7 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag16 -0.123968903197 +INFO:pyaf.std:AR_MODEL_COEFF 8 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag22 0.10993150122 +INFO:pyaf.std:AR_MODEL_COEFF 9 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag8 -0.106872007062 +INFO:pyaf.std:AR_MODEL_COEFF 10 _Ozone_LinearTrend_residue_zeroCycle_residue_Lag41 0.102055529739 +INFO:pyaf.std:AR_MODEL_DETAIL_END +INFO:pyaf.std:START_PLOTTING +INFO:pyaf.std:END_PLOTTING_TIME_IN_SECONDS 7.301878452301025 +INFO:pyaf.std:START_FORECASTING +INFO:pyaf.std:END_FORECAST_TIME_IN_SECONDS 0.9759995937347412 + Split Transformation ... TestMAPE IC +0 (0.5, 0.1, 0.0) Logit_Ozone ... None 0 +1 (0.5, 0.1, 0.0) _Ozone ... None 0 +2 (0.5, 0.1, 0.0) Logit_Ozone ... None 1 +3 (0.5, 0.1, 0.0) _Ozone ... None 0 +4 (0.5, 0.1, 0.0) _Ozone ... None 0 + +[5 rows x 9 columns] +Forecast Columns Index(['Time', 'Ozone', '_Ozone', 'row_number', 'Time_Normalized', + '_Ozone_LinearTrend', '_Ozone_LinearTrend_residue', + '_Ozone_LinearTrend_residue_zeroCycle', + '_Ozone_LinearTrend_residue_zeroCycle_residue', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)', + '_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)_residue', + '_Ozone_Trend', '_Ozone_Trend_residue', '_Ozone_Cycle', + '_Ozone_Cycle_residue', '_Ozone_AR', '_Ozone_AR_residue', + '_Ozone_TransformedForecast', 'Ozone_Forecast', + '_Ozone_TransformedResidue', 'Ozone_Residue', + 'Ozone_Forecast_Lower_Bound', 'Ozone_Forecast_Upper_Bound'], + dtype='object') + +RangeIndex: 216 entries, 0 to 215 +Data columns (total 3 columns): +Time 216 non-null datetime64[ns] +Ozone 204 non-null float64 +Ozone_Forecast 216 non-null float64 +dtypes: datetime64[ns](1), float64(2) +memory usage: 5.1 KB +None +Forecasts + Time Ozone Ozone_Forecast +204 1972-01-01 NaN 0.285624 +205 1972-02-01 NaN 0.738594 +206 1972-03-01 NaN 0.515769 +207 1972-04-01 NaN 1.123423 +208 1972-05-01 NaN 1.030676 +209 1972-06-01 NaN 1.801763 +210 1972-07-01 NaN 1.610546 +211 1972-08-01 NaN 1.645255 +212 1972-09-01 NaN 1.140365 +213 1972-10-01 NaN 0.941300 +214 1972-11-01 NaN 0.287191 +215 1972-12-01 NaN 0.063853 + + + +{ + "Dataset": { + "Signal": "Ozone", + "Time": { + "Horizon": 12, + "TimeMinMax": [ + "1955-01-01 00:00:00", + "1971-12-01 00:00:00" + ], + "TimeVariable": "Time" + }, + "Training_Signal_Length": 204 + }, + "Model": { + "AR_Model": "AR", + "Best_Decomposition": "_Ozone_LinearTrend_residue_zeroCycle_residue_AR(51)", + "Cycle": "NoCycle", + "Signal_Transoformation": "NoTransf", + "Trend": "LinearTrend" + }, + "Model_Performance": { + "COMPLEXITY": "41", + "MAE": "0.57341721817", + "MAPE": "0.1873", + "MASE": "0.7838", + "RMSE": "0.679558152864" + } +} + + + + + + +{"Time":{"192":"1971-01-01T00:00:00.000Z","193":"1971-02-01T00:00:00.000Z","194":"1971-03-01T00:00:00.000Z","195":"1971-04-01T00:00:00.000Z","196":"1971-05-01T00:00:00.000Z","197":"1971-06-01T00:00:00.000Z","198":"1971-07-01T00:00:00.000Z","199":"1971-08-01T00:00:00.000Z","200":"1971-09-01T00:00:00.000Z","201":"1971-10-01T00:00:00.000Z","202":"1971-11-01T00:00:00.000Z","203":"1971-12-01T00:00:00.000Z","204":"1972-01-01T00:00:00.000Z","205":"1972-02-01T00:00:00.000Z","206":"1972-03-01T00:00:00.000Z","207":"1972-04-01T00:00:00.000Z","208":"1972-05-01T00:00:00.000Z","209":"1972-06-01T00:00:00.000Z","210":"1972-07-01T00:00:00.000Z","211":"1972-08-01T00:00:00.000Z","212":"1972-09-01T00:00:00.000Z","213":"1972-10-01T00:00:00.000Z","214":"1972-11-01T00:00:00.000Z","215":"1972-12-01T00:00:00.000Z"},"Ozone":{"192":1.8,"193":2.0,"194":2.2,"195":3.0,"196":2.4,"197":3.5,"198":3.5,"199":3.3,"200":2.7,"201":2.5,"202":1.6,"203":1.2,"204":null,"205":null,"206":null,"207":null,"208":null,"209":null,"210":null,"211":null,"212":null,"213":null,"214":null,"215":null},"Ozone_Forecast":{"192":0.7374381707,"193":1.1320086299,"194":1.8549839453,"195":1.2883584088,"196":2.5112248895,"197":2.5574173159,"198":3.1928923511,"199":2.5688374073,"200":2.0571623293,"201":1.4624391751,"202":1.1275875442,"203":0.5646769855,"204":0.2856243781,"205":0.7385938903,"206":0.5157685586,"207":1.1234230133,"208":1.0306755197,"209":1.8017628552,"210":1.6105459481,"211":1.6452553303,"212":1.1403645026,"213":0.9413002388,"214":0.287190989,"215":0.0638531478}} + + + +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. 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Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. 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Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. 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Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) +/home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning. + "avoid this warning.", FutureWarning) From 6e7bacd02d919590ea31ff68b1620447294b7124 Mon Sep 17 00:00:00 2001 From: Antoine Carme Date: Thu, 27 Sep 2018 12:38:42 +0200 Subject: [PATCH 28/28] Remove slow mode tests in travis-ci build tests --- tests/Makefile | 24 ++---------------------- tests/gen_makefile.py | 3 ++- 2 files changed, 4 insertions(+), 23 deletions(-) diff --git a/tests/Makefile b/tests/Makefile index b34d05490..b344bc281 100644 --- a/tests/Makefile +++ b/tests/Makefile @@ -216,16 +216,6 @@ bugs/issue_73/issue_73_1_fast_mode_2.py : $(PYTHON) scripts/num_diff.py tests/references/bugs_issue_73_issue_73_1_fast_mode_2.log logs/bugs_issue_73_issue_73_1_fast_mode_2.log > logs/bugs_issue_73_issue_73_1_fast_mode_2.log.diff tail -10 logs/bugs_issue_73_issue_73_1_fast_mode_2.log.diff -bugs/issue_73/issue_73_1_slow_mode.py : - $(PYTHON) tests/bugs/issue_73/issue_73_1_slow_mode.py > logs/bugs_issue_73_issue_73_1_slow_mode.log 2>&1 - $(PYTHON) scripts/num_diff.py tests/references/bugs_issue_73_issue_73_1_slow_mode.log logs/bugs_issue_73_issue_73_1_slow_mode.log > logs/bugs_issue_73_issue_73_1_slow_mode.log.diff - tail -10 logs/bugs_issue_73_issue_73_1_slow_mode.log.diff - -bugs/issue_73/issue_73_1_slow_mode_more_cycles.py : - $(PYTHON) tests/bugs/issue_73/issue_73_1_slow_mode_more_cycles.py > logs/bugs_issue_73_issue_73_1_slow_mode_more_cycles.log 2>&1 - $(PYTHON) scripts/num_diff.py tests/references/bugs_issue_73_issue_73_1_slow_mode_more_cycles.log logs/bugs_issue_73_issue_73_1_slow_mode_more_cycles.log > logs/bugs_issue_73_issue_73_1_slow_mode_more_cycles.log.diff - tail -10 logs/bugs_issue_73_issue_73_1_slow_mode_more_cycles.log.diff - bugs/issue_72/test_artificial_32_exp_linear_0__100.py : $(PYTHON) tests/bugs/issue_72/test_artificial_32_exp_linear_0__100.py > logs/bugs_issue_72_test_artificial_32_exp_linear_0__100.log 2>&1 $(PYTHON) scripts/num_diff.py tests/references/bugs_issue_72_test_artificial_32_exp_linear_0__100.log logs/bugs_issue_72_test_artificial_32_exp_linear_0__100.log > logs/bugs_issue_72_test_artificial_32_exp_linear_0__100.log.diff @@ -403,7 +393,7 @@ bugs/issue_55/grouping_issue_55_notebook.py : - bugs : bugs/test_random_exogenous.py bugs/test_artificial_bug_2.py bugs/test_artificial_bug_1.py bugs/issue_34/test_artificial_1024_sqrt_linear_30_12_20.py bugs/issue_34/test_artificial_1024_sqrt_constant_7_12_100.py bugs/issue_34/test_artificial_1024_sqr_poly_5_12_20.py bugs/issue_34/test_artificial_1024_log_linear_5_12_100.py bugs/issue_34/test_artificial_1024_log_linear_30_12_20.py bugs/issue_34/test_artificial_1024_inv_linear_7_12_100.py bugs/issue_34/test_artificial_1024_inv_constant_30__20.py bugs/issue_34/test_artificial_1024_diff_poly_0__100.py bugs/issue_34/test_artificial_1024_diff_poly_0__0.py bugs/issue_34/test_artificial_1024__poly_7_12_100.py bugs/issue_34/issue_34_1.py bugs/issue_34/issue_34.py bugs/issue_76/test_ozone_unicode.py bugs/issue_73/issue_73_1_slow_mode_more_cycles.py bugs/issue_73/issue_73_1_slow_mode.py bugs/issue_73/issue_73_1_fast_mode_2.py bugs/issue_73/issue_73_1_fast_mode.py bugs/issue_72/test_artificial_32_sqrt_poly_7__20.py bugs/issue_72/test_artificial_32_exp_linear_0__100.py bugs/issue_46/issue_46_one_or_two_rows.py bugs/issue_32/bug_test_ozone_heroku_1_ws.py bugs/issue_32/bug_test_ozone_heroku_1.py bugs/issue_22/test_artificial_1024_cumsum_constant_5__20.py bugs/issue_69/issue_69_example_1_with_rectifier.py bugs/issue_69/issue_69_example_1_no_rectifier.py bugs/issue_75/issue_75_residues_Are_empty.py bugs/issue_75/issue_75_plot.py bugs/issue_56/issue_56_order2.py bugs/issue_56/issue_56_order1.py bugs/issue_80/test_ozone_missing_time.py bugs/issue_19/issue_19_no_interpolation.py bugs/issue_79/test_ozone_missing_signal.py bugs/issue_29/test_mem_1.py bugs/issue_58/issue_58_1_categorical_exogenous.py bugs/issue_94/issue_94.py bugs/issue_36/issue_36_version_info.py bugs/issue_36/display_version_info.py bugs/issue_70/test_ozone_keep_all_seasonals.py bugs/issue_70/test_ozone_filter_seasonals.py bugs/issue_70/test_artificial_keep_all_seasonals_second.py bugs/issue_70/test_artificial_keep_all_seasonals_minute.py bugs/issue_70/test_artificial_keep_all_seasonals_hour.py bugs/issue_70/test_artificial_keep_all_seasonals_day.py bugs/issue_70/test_artificial_filter_seasonals_second.py bugs/issue_70/test_artificial_filter_seasonals_min.py bugs/issue_70/test_artificial_filter_seasonals_hour.py bugs/issue_70/test_artificial_filter_seasonals_day.py bugs/issue_21/test_ozone_max_autoreg_5.py bugs/issue_21/test_artificial_1024__poly_7__20.py bugs/issue_82/issue_82_long_cycles.py bugs/issue_4/issue_4.py bugs/issue_55/grouping_issue_55_notebook.py + bugs : bugs/test_random_exogenous.py bugs/test_artificial_bug_2.py bugs/test_artificial_bug_1.py bugs/issue_34/test_artificial_1024_sqrt_linear_30_12_20.py bugs/issue_34/test_artificial_1024_sqrt_constant_7_12_100.py bugs/issue_34/test_artificial_1024_sqr_poly_5_12_20.py bugs/issue_34/test_artificial_1024_log_linear_5_12_100.py bugs/issue_34/test_artificial_1024_log_linear_30_12_20.py bugs/issue_34/test_artificial_1024_inv_linear_7_12_100.py bugs/issue_34/test_artificial_1024_inv_constant_30__20.py bugs/issue_34/test_artificial_1024_diff_poly_0__100.py bugs/issue_34/test_artificial_1024_diff_poly_0__0.py bugs/issue_34/test_artificial_1024__poly_7_12_100.py bugs/issue_34/issue_34_1.py bugs/issue_34/issue_34.py bugs/issue_76/test_ozone_unicode.py bugs/issue_73/issue_73_1_fast_mode_2.py bugs/issue_73/issue_73_1_fast_mode.py bugs/issue_72/test_artificial_32_sqrt_poly_7__20.py bugs/issue_72/test_artificial_32_exp_linear_0__100.py bugs/issue_46/issue_46_one_or_two_rows.py bugs/issue_32/bug_test_ozone_heroku_1_ws.py bugs/issue_32/bug_test_ozone_heroku_1.py bugs/issue_22/test_artificial_1024_cumsum_constant_5__20.py bugs/issue_69/issue_69_example_1_with_rectifier.py bugs/issue_69/issue_69_example_1_no_rectifier.py bugs/issue_75/issue_75_residues_Are_empty.py bugs/issue_75/issue_75_plot.py bugs/issue_56/issue_56_order2.py bugs/issue_56/issue_56_order1.py bugs/issue_80/test_ozone_missing_time.py bugs/issue_19/issue_19_no_interpolation.py bugs/issue_79/test_ozone_missing_signal.py bugs/issue_29/test_mem_1.py bugs/issue_58/issue_58_1_categorical_exogenous.py bugs/issue_94/issue_94.py bugs/issue_36/issue_36_version_info.py bugs/issue_36/display_version_info.py bugs/issue_70/test_ozone_keep_all_seasonals.py bugs/issue_70/test_ozone_filter_seasonals.py bugs/issue_70/test_artificial_keep_all_seasonals_second.py bugs/issue_70/test_artificial_keep_all_seasonals_minute.py bugs/issue_70/test_artificial_keep_all_seasonals_hour.py bugs/issue_70/test_artificial_keep_all_seasonals_day.py bugs/issue_70/test_artificial_filter_seasonals_second.py bugs/issue_70/test_artificial_filter_seasonals_min.py bugs/issue_70/test_artificial_filter_seasonals_hour.py bugs/issue_70/test_artificial_filter_seasonals_day.py bugs/issue_21/test_ozone_max_autoreg_5.py bugs/issue_21/test_artificial_1024__poly_7__20.py bugs/issue_82/issue_82_long_cycles.py bugs/issue_4/issue_4.py bugs/issue_55/grouping_issue_55_notebook.py cross_validation/test_air_passengers_cross_valid.py : @@ -411,11 +401,6 @@ cross_validation/test_air_passengers_cross_valid.py : $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_air_passengers_cross_valid.log logs/cross_validation_test_air_passengers_cross_valid.log > logs/cross_validation_test_air_passengers_cross_valid.log.diff tail -10 logs/cross_validation_test_air_passengers_cross_valid.log.diff -cross_validation/test_air_passengers_slow_mode.py : - $(PYTHON) tests/cross_validation/test_air_passengers_slow_mode.py > logs/cross_validation_test_air_passengers_slow_mode.log 2>&1 - $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_air_passengers_slow_mode.log logs/cross_validation_test_air_passengers_slow_mode.log > logs/cross_validation_test_air_passengers_slow_mode.log.diff - tail -10 logs/cross_validation_test_air_passengers_slow_mode.log.diff - cross_validation/test_ozone_cross_valid.py : $(PYTHON) tests/cross_validation/test_ozone_cross_valid.py > logs/cross_validation_test_ozone_cross_valid.log 2>&1 $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_ozone_cross_valid.log logs/cross_validation_test_ozone_cross_valid.log > logs/cross_validation_test_ozone_cross_valid.log.diff @@ -426,14 +411,9 @@ cross_validation/test_ozone_custom_split.py : $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_ozone_custom_split.log logs/cross_validation_test_ozone_custom_split.log > logs/cross_validation_test_ozone_custom_split.log.diff tail -10 logs/cross_validation_test_ozone_custom_split.log.diff -cross_validation/test_ozone_slow_mode.py : - $(PYTHON) tests/cross_validation/test_ozone_slow_mode.py > logs/cross_validation_test_ozone_slow_mode.log 2>&1 - $(PYTHON) scripts/num_diff.py tests/references/cross_validation_test_ozone_slow_mode.log logs/cross_validation_test_ozone_slow_mode.log > logs/cross_validation_test_ozone_slow_mode.log.diff - tail -10 logs/cross_validation_test_ozone_slow_mode.log.diff - - cross_validation : cross_validation/test_ozone_slow_mode.py cross_validation/test_ozone_custom_split.py cross_validation/test_ozone_cross_valid.py cross_validation/test_air_passengers_slow_mode.py cross_validation/test_air_passengers_cross_valid.py + cross_validation : cross_validation/test_ozone_custom_split.py cross_validation/test_ozone_cross_valid.py cross_validation/test_air_passengers_cross_valid.py demos/demo1.py : diff --git a/tests/gen_makefile.py b/tests/gen_makefile.py index c9b46692d..f809da819 100644 --- a/tests/gen_makefile.py +++ b/tests/gen_makefile.py @@ -8,7 +8,8 @@ def add_makefile_entry(subdir1): lShortName = os.path.basename(filename); if(not lShortName.lower().startswith("gen_all") and not lShortName.lower().startswith("gen_makefile") and - not "prototyp" in lShortName.lower()): + not "prototyp" in lShortName.lower() and + not "_slow_mode" in lShortName.lower()): bn = subdir1 + "/" + lShortName; logfile = bn.replace("/" , "_"); logname = logfile.replace(".py" , ".log");