v1.6.0
·
194 commits
to main
since this release
New features
- Add training config param to use repeated stratified kfold strategy during tuning
- Add option for
predictmethod inBlueCastclass to return original target labels - Add new
plot_distribution_by_timeEDA function - Add new
plot_classification_target_distribution_within_categoriesEDA function - Add new
plot_pca_biplotEDA function - Add new
plot_andrews_curveEDA function - Add new plot
plot_against_target_for_regression - Add additional feature engineering capabilities via
GroupLevelAggFeatures - Show histograms on 2nd axis in eCDF plots
Changes
- Suppress seaborn warnings
- Use Freedman-diaconis to determine number of bins for histograms
- Suppress additional warnings out of control in the library
- Only show global SHAP values by default
Bug fixes:
- Add handling of infrequent categories
- fix detection of numerical features
- fix a bug when target class is a string, but categorical encoding shall be done via ml algorithm