V0.8.0

Version 0.8.0 / tool_main: 1.0.8.0 / keras: 0.5.0 (12-10-2019)

New Features

• Adds circleci config for both api and tool tests.
• Adds train_test_split tool which supports shufflesplit, stratifiedshufflesplit, groupshufflesplit and orderedtarget split.
• Adds fitted_model_eval tool.
• Refactors binarize target estimators. There are a lot of improvements. One of them is that the estimator family now support most sklearn scorers.
• Adds clean_params in utils
• Adds cv_results_ outputs for nested inner CV and unfitted searchCV object from searchCV tool.
• Adds keras training and evaluation tool.
• Adds support of decision_function for binarize target classifiers.
• Adds matplotlib svg format option in ml_visualization_ex tool.
• Adds 'sklearn.ensemble.HistGradientBoostingClassifier' and 'sklearn.ensemble.HistGradientBoostingRegressor'
• Adds new regression scorer max_error.
• Upgade scikit-lean to v0.21.3, mlxtend to v0.17.0, imbalanced-learn to v0.5.0, keras to v2.3.1 and tensorflow to v1.15.0.

Changes

• Replaces all generators' fit with set_processing_attrs.
• Raises ValueError instead of [0, 1] normalization when predictions from BinarizeTargetRegressor go out of range.
• Refactors iraps_classifier module. Binarize target estimators do the same prediction as the wrapped estimator. A delicated predict_score is made to work with binarize scorers.
• Changes precision-recall curve and ROC curve to take headers and upgrade plotly to v4.3.0 in ml_visualization_ex tool
• Changes to dynamic output of pipeline or final main estimator

Bug Fixes

• Fixes random_state error in _predict_generator.
• Fixes stale path issue by replacing relative paths with full paths.