ClimbsRocks/catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

Documentation | Installation

CatBoost is a machine learning method based on gradient boosting over decision trees.

Main advantages of CatBoost:

• Superior quality when compared with other libraries.
• Support for both numerical and categorical features.
• Data visualization tools included.

The following implementations are available:

• Python package
• R package
• Command-line interface

Questions and bug reports

• For reporting bugs please use the catboost/bugreport page.
• Ask your question about CatBoost on Stack Overflow

License

© YANDEX LLC, 2017. Licensed under the Apache License, Version 2.0. See LICENSE file for more details.