Version 1.3.5

• GridSearchCV support

  • Added new abstract BPtSearchCV class.

  • Added in if search_type = ‘grid’ will try and convert parameters to grid search compatible, and use on the backend sklearn’s GridSearchCV.

  • n_jobs will propagate correctly.

• Replaced LGBM with BPtLGBM

  • Replaces LGBMRegressor and Classifier with BPtLGBMRegressor and BPtLGBMClassifier.

  • These classes act as wrappers which automatically pass categorical features to the LGBM fit.

  • These classes also allow setting parameters ‘early_stopping_rounds’ and ‘eval_split’.

• Update Nevergrad version

  • Update to nevergrad version 0.4.2.post5

  • Warning: The list of available search types may be a little out of date.

• New CV_Split class

  • This can be used for passing single splits

• New parameter fix_n_wrapper_jobs for Loader

  • This parameter allows setting a fixed number of jobs for the Loading Wrapper.

  • In the future a better system for fixing n_jobs may be added.

• Fix/Change internal representation for Scope Models + Transformers

  • Introduce new internal classes for ScopeModel + ScopeTransformer.

  • These classes fixed a few existing bugs, and should make behavior moving forward more consistent.

• Fix bug with Loader transform_df

  • Fixed a bug with the transform_df function for Loaders.

  • This resulted in a error with computing feature importances for data loaded with a Loader.

• Better pipeline names

  • When using sklearn verbose, or inspecting models, a few names have been changed to look better / be more informative.