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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.