Breaking changes:
- parameter
fold_count
is now calledcv
ingrid_search()
andrandomized_search
- cv results are now returned from
grid_search()
andrandomized_search()
inres['cv_results']
field
New features:
- 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
Bug fixes:
- 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)
Improvements:
- Added option
verbose
togrid_search()
andrandomized_search()
- Added tutorial on
grid_search()
andrandomized_search()