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catboost v0.16.2 Release Notes

Release Date: 2019-08-02 // over 4 years ago

  • 💥 Breaking changes:

    • Removed get_group_id() and get_features() methods of Pool class

    🆕 New model analysis tools:

    • 🔋 Added PredictionDiff type of get_feature_importance() method, which is a new method for model analysis. The method shows how the features influenced the fact that among two samples one has a higher prediction. It allows to debug ranking models: you find a pair of samples ranked incorrectly and you look at what features have caused that.
    • ➕ Added plot_predictions() method

    🆕 New features:

    • 🔋 model.set_feature_names() method in Python
    • ➕ Added stratified split to parameter search methods
    • 👌 Support catboost.load_model() from CPU snapshots for numerical-only datasets
    • 👍 CatBoostClassifier.score() now supports y as DataFrame
    • Added sampling_frequency, per_float_feature_binarization, monotone_constraints parameters to CatBoostClassifier and CatBoostRegresssor

    Speedups:

    • 2x speedup of multi-classification mode

    🛠 Bugfixes:

    • 🛠 Fixed score() for multiclassification, #924
    • Fixed get_all_params() function, #926

    Other improvements:

    • Clear error messages when a model cannot be saved