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Autogluon timeseries #7

Merged
merged 2 commits into from
Oct 18, 2022
Merged

Autogluon timeseries #7

merged 2 commits into from
Oct 18, 2022

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@limpbot limpbot commented Oct 18, 2022

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@limpbot limpbot merged commit cad71a6 into master Oct 18, 2022
limpbot added a commit that referenced this pull request Nov 15, 2022
* Add AutoGluon TimeSeries Prototype

* AutoMLBenchmark TimeSeries Prototype. (#6)

* fixed loading test & train, changed pred.-l. 5->30

* ignore launch.json of vscode

* ensuring timestamp parsing

* pass config, save pred, add results

* remove unused code

* add readability, remove slice from timer

* ensure autogluonts has required info

* add comments for readability

* setting defaults for timeseries task

* remove outer context manipulation

* corrected spelling error for quantiles

* adding mape, correct available metrics

* beautify config options

* fixed config for public access

* Update readme

* Autogluon timeseries, addressed comments by sebhrusen (#7)

* fixed loading test & train, changed pred.-l. 5->30

* ignore launch.json of vscode

* ensuring timestamp parsing

* pass config, save pred, add results

* remove unused code

* add readability, remove slice from timer

* ensure autogluonts has required info

* add comments for readability

* setting defaults for timeseries task

* remove outer context manipulation

* corrected spelling error for quantiles

* adding mape, correct available metrics

* beautify config options

* fixed config for public access

* no outer context manipulation, add dataset subdir

* add more datasets

* include error raising for too large pred. length.

* mergin AutoGluonTS framework folder into AutoGluon

* renaming ts.yaml to timeseries.yaml, plus ext.

* removing presets, correct latest config for AGTS

* move dataset timeseries ext to datasets/file.py

* dont bypass test mode

* move quantiles and y_past_period_error to opt_cols

* remove whitespaces

* deleting merge artifacts

* delete merge artifacts

* renaming prediction_length to forecast_range_in_steps

* use public dataset, reduced range to maximum

* fix format string works

* fix key error bug, remove magic time limit

* Addressed minor comments, and fixed version call for tabular and timeseries modularities (#8)

* fixed loading test & train, changed pred.-l. 5->30

* ignore launch.json of vscode

* ensuring timestamp parsing

* pass config, save pred, add results

* remove unused code

* add readability, remove slice from timer

* ensure autogluonts has required info

* add comments for readability

* setting defaults for timeseries task

* remove outer context manipulation

* corrected spelling error for quantiles

* adding mape, correct available metrics

* beautify config options

* fixed config for public access

* no outer context manipulation, add dataset subdir

* add more datasets

* include error raising for too large pred. length.

* mergin AutoGluonTS framework folder into AutoGluon

* renaming ts.yaml to timeseries.yaml, plus ext.

* removing presets, correct latest config for AGTS

* move dataset timeseries ext to datasets/file.py

* dont bypass test mode

* move quantiles and y_past_period_error to opt_cols

* remove whitespaces

* deleting merge artifacts

* delete merge artifacts

* renaming prediction_length to forecast_range_in_steps

* use public dataset, reduced range to maximum

* fix format string works

* fix key error bug, remove magic time limit

* swapped timeseries and tabular to set version

* make warning message more explicit

* remove outer context manipulation

* split timeseries / tabular into functions

Co-authored-by: Leo <LeonhardSommer96@gmail.com>
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