catboost 0.15.2

v0.15.2

on Python PyPI

Breaking changes:

• Function get_feature_statistics is replaced by calc_feature_statistics
• Scoring function Correlation is renamed to Cosine
• Parameter efb_max_conflict_fraction is renamed to sparse_features_conflict_fraction

New features:

• Models can be saved in PMML format now.

Note: PMML does not have full categorical features support, so to have the model in PMML format for datasets with categorical features you need to use set one_hot_max_size parameter to some large value, so that all categorical features are one-hot encoded

• Feature names can be used to specify ignored features

Bug fixes, including:

• Fixed restarting of CV on GPU for datasets without categorical features
• Fixed learning continuation errors with changed dataset (#879) and with model loaded from file (#884)
• Fixed NativeLib for JDK 9+ (PR #857)