New features :sparkles: - 176 extended EDA - thanks to shahules786
Bug fixes :bug: - 201 error in golden features sampling - 199 bug for float multi-class labels - 196 add exception for empty data - 195 set threshold for accuracy metric instead f1 - 194 ensemble should be best model if has more than 1 model - 193 fixed predict aflter model loading - 192 update pyarrow - 191 hide shap warnings - 190 fix in preprocessing - 188 fix type in feature selection - thanks to uditswaroopa
0.7.2
Bug fixes :bug: - 187 fix wrong order in golden features step - 186 fix `_get_results_path` - 185 fix models loading - 184 exception when drop all features during selection - 182 catch exceptions from model and log to `errors.md` - 181 remove forbidden characters in EDA - 177 change docstring to google-stype - 175 remove `tuning_mode` parameter from `AutoML`
Improvements - (148) make `AutoML` scikit-learn compatible, thank you spamz23! :clap: :clap: :clap: - (170, 171 ) improve printouts while training `AutoML`
0.6.1
Enhancements - 145 Add EDA for input data set 125 - 135 Add ability to pause and restore the training - 19 Add tests for ensemble save and load
Refactor - 149 Add Time Controller - 80 add tests for one column input
Bug fixes - 144 AutoMlException - 142 Error when training NN on BNP Paribas kaggle dataset
0.6.0
- Add golden features transformer (126) - Add feature selection (133) - Add one-hot encoding (76) - Fixes in Neural Networks (131, 129) - Add max_depth in Extra Trees and Random Forest (106) - Add support for date/time features (122)