catboost v0.16.1 Release Notes

Release Date: 2019-07-30 // over 4 years ago
  • ๐Ÿ’ฅ Breaking changes:

    • parameter fold_count is now called cv in grid_search() and randomized_search
    • cv results are now returned from grid_search() and randomized_search() in res['cv_results'] field

    ๐Ÿ†• New features:

    • ๐Ÿ‘ R-language function catboost.save_model() now supports PMML, ONNX and other formats
    • Parameter monotone_constraints in python API allows specifying numerical features that the prediction shall depend on monotonically

    ๐Ÿ› Bug fixes:

    • ๐Ÿ›  Fixed eval_metric calculation for training with weights (in release 0.16 evaluation of a metric that was equal to an optimized loss did not use weights by default, so overfitting detector worked incorrectly)

    ๐Ÿ‘Œ Improvements:

    • Added option verbose to grid_search() and randomized_search()
    • Added tutorial on grid_search() and randomized_search()