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catboost v0.16.3 Release Notes

Release Date: 2019-08-11 // over 4 years ago

  • 💥 Breaking changes:

    • 🔋 Renamed column Feature Index to Feature Id in prettified output of python method get_feature_importance(), because it supports feature names now
    • Renamed option per_float_feature_binarization (--per-float-feature-binarization) to per_float_feature_quantization (--per-float-feature-quantization)
    • ✂ Removed parameter inverted from python cv method. Added type parameter instead, which can be set to Inverted
    • Method get_features() now works only for datasets without categorical features

    🆕 New features

    • A new multiclass version of AUC metric, called AUC Mu, which was proposed by Ross S. Kleiman on NeurIPS 2019, link
    • ➕ Added time series cv
    • ➕ Added MeanWeightedTarget in fstat
    • Added utils.get_confusion_matrix()
    • Now feature importance can be calculated for non-symmetric trees