catboost/catboost v0.22

0.22

on GitHub

New features:

• The main feature of the release is the support of non symmetric trees for training on CPU.
  Using non symmetric trees might be useful if one-hot encoding is present, or data has little noise.
  To try non symmetric trees change grow_policy parameter.
  Starting from this release non symmetric trees are supported for both CPU and GPU training.
• The next big feature improves catboost text features support.
  Now tokenization is done during training, you don't have to do lowercasing, digit extraction and other tokenization on your own, catboost does it for you.
• Auto learning-rate is now supported in CPU MultiClass mode.
• CatBoost class supports to_regressor and to_classifier methods.

The release also contains a list of bug fixes.