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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

catboost.ai

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 113 Commits
build		build
catboost		catboost
ci/travis		ci/travis
contrib		contrib
library		library
msvs		msvs
tools		tools
util		util
.appveyor.yml		.appveyor.yml
.arcadia.root		.arcadia.root
.gitattributes		.gitattributes
.gitignore		.gitignore
.travis.yml		.travis.yml
AUTHORS		AUTHORS
CONTRIBUTING.md		CONTRIBUTING.md
CPP_STYLE_GUIDE.md		CPP_STYLE_GUIDE.md
LICENSE		LICENSE
README.md		README.md
RELEASE.md		RELEASE.md
ya		ya
ya.bat		ya.bat
ya.conf		ya.conf
ya.make		ya.make

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Website | 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.

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.