History¶
0.2.11 (2022-02-06)¶
- Updated the default version to 3.9
0.2.10 (2022-02-06)¶
- Fixed issue with older version of Scikit-learn
- Reduced dependencies sctrictly to few
0.2.8 (2021-02-06)¶
- 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.
0.2.7 (2020-07-09)¶
- Removed catboost regressor and classifier
0.2.6 (2020-01-22)¶
- Added xgboost, lightgbm, catboost regressors and classifiers
0.2.5 (2020-01-20)¶
- Removed troublesome regressors from list of CLASSIFIERS
0.2.4 (2020-01-19)¶
- 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
0.2.3 (2019-11-22)¶
- Removed TheilSenRegressor from list of REGRESSORS
- Removed GaussianProcessClassifier from list of CLASSIFIERS
0.2.2 (2019-11-18)¶
- Fixed automatic deployment issue.
0.2.1 (2019-11-18)¶
- Release of Regression feature.
0.2.0 (2019-11-17)¶
- Release of Classification feature.
0.1.0 (2019-11-16)¶
- First release on PyPI.