FlatBuffers model format: new CatBoost versions wouldn’t break model compatibility anymore.
Major Features And Improvements
- Training speedups: we have speed up the training by 33%.
- Two new ranking modes are available:
PairLogit- pairwise comparison of objects from the input dataset. Algorithm maximises probability correctly reorder all dataset pairs.
QueryRMSE- mix of regression and ranking. It’s trying to make best ranking for each dataset query by input labels.
Bug Fixes and Other Changes
- We have fixed a bug that caused quality degradation when using weights < 1.
Verboseflag is now deprecated, please use
logging_levelinstead. You could set the following levels: Silent, Verbose, Info, Debug.
- And some other bugs.
Thanks to our Contributors
This release contains contributions from: avidale, newbfg, KochetovNicolai and CatBoost team.
We are grateful to all who filed issues or helped resolve them, asked and answered questions.