Version 0.5

This release includes a number of enhancements and bug fixes, mainly to the sktree.tree.MultiViewDecisionTreeClassifier. Most notably, the max_features argument now supports an array of values, which applies a different max_features argument per feature view.

Changelog

• Enhancement sktree.tree.MultiViewDecisionTreeClassifier now rounds up the number of features to split on to the nearest integer when applying max_features to each feature view, by Adam Li (##183).

• Feature sktree.tree.MultiViewDecisionTreeClassifier now supports an array passed in for max_features, which applies a different max_features argument per view, by Adam Li (##183).

• Fix sktree.tree.MultiViewDecisionTreeClassifier now correctly handles the case where there is one feature view that is exhausted, and another that is not for apply_max_features_per_feature_set = False, by Adam Li (##183).

• Fix sktree.stats.FeatureImportanceForestClassifier now correctly passes metric kwargs to the null distribution function, by Adam Li (##183).

Code and Documentation Contributors

Thanks to everyone who has contributed to the maintenance and improvement of the project since version inception, including:

• Adam Li