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History |
- Updated the default version to 3.9
- Fixed issue with older version of Scikit-learn
- Reduced dependencies sctrictly to few
- Removed StackingRegressor and CheckingClassifier.
- Added provided_models method.
- Added adjusted r-squared metric.
- Added cardinality check to split categorical columns into low and high cardinality features.
- Added different transformation pipeline for low and high cardinality features.
- Included all number dtypes as inputs.
- Fixed dependencies.
- Improved documentation.
- Removed catboost regressor and classifier
- Added xgboost, lightgbm, catboost regressors and classifiers
- Removed troublesome regressors from list of CLASSIFIERS
- Removed troublesome regressors from list of REGRESSORS
- Added feature to input custom metric for evaluation
- Added feature to return predictions as dataframe
- Added model training time for each model
- Removed TheilSenRegressor from list of REGRESSORS
- Removed GaussianProcessClassifier from list of CLASSIFIERS
- Fixed automatic deployment issue.
- Release of Regression feature.
- Release of Classification feature.
- First release on PyPI.