catboost 0.11.2

v0.11.2

on Python PyPI

Changes:

• Pure GPU implementation of NDCG metric
• Enabled LQ loss function
• Fixed NDCG metric on CPU
• Added model_sum mode to command line interface
• Added SHAP values benchmark (#566)
• fixed random_strength for Plain boosting (#448)
• Enabled passing a test pool to caret training (#544)
• Fixed a bug in exporting the model as python code (#556)
• Fixed label mapper for multiclassification custom labels (#523)
• Fixed hash type of categorical features (#558)
• Fixed handling of cross-validation fold count options in python package (#568)