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AIdirectory / catboost

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

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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:

Tutorials

  • Tutorials are avaliable here.

Questions and bug reports

License

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

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

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