Skip to content

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

License

Notifications You must be signed in to change notification settings

iamnik13/catboost

 
 

Repository files navigation

Website | Documentation | Installation

Build Status Build Status PyPI version

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.

For contributors

  • To contribute to CatBoost you need to first read CLA text and add to your pull request, that you agree to the terms of the CLA. More information can be found in CONTRIBUTING.md

  • Instructions for contributors can be found here.

News

  • News will be published on twitter.

Questions and bug reports

License

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

About

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

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 67.1%
  • Jupyter Notebook 20.2%
  • Python 7.6%
  • Cuda 3.1%
  • R 0.8%
  • Makefile 0.6%
  • Other 0.6%