catboost 0.20.2

v0.20.2

on Python PyPI

New features:

• String class labels are now supported for binary classification
• [CLI only] Timestamp column for the datasets can be provided in separate files.
• [CLI only] Timesplit feature evaluation.
• Process groups of any size in block processing.

Bug fixes:

• classes_count and class_weight params can be now used with user-defined loss functions. #1119
• Form correct metric descriptions on GPU if use_weights gets value by default. #1106
• Correct model.classes_ attribute for binary classification (proper labels instead of always 0 and 1). #984
• Fix model.classes_ attribute when classes_count parameter was specified.
• Proper error message when categorical features specified for MultiRMSE training. #1112
• Block processing: It is valid for all groups in a single block to have weights equal to 0
• fix empty asymmetric tree index calculation. #1104