catboost 0.11.0

v0.11.0

on Python PyPI

Changes:

• Changed default border count for float feature binarization to 254 on CPU to achieve better quality
• Fixed random seed to 0 by default
• Support model with more than 254 feature borders or one hot values when doing predictions
• Added model summation support in python: use catboost.sum_models() to sum models with provided weights.
• Added json model tutorial model_export_as_json_tutorial.ipynb