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catboost v0.20.2 Release Notes

Release Date: 2019-12-25 // over 4 years ago

  • 🆕 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
    • 0️⃣ 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