github catboost/catboost v0.20.2

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
latest releases: v1.0.0, v0.26.1, v0.26...
22 months ago