catboost
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.
Use CatBoost to build machine learning models for tasks like ranking, classification, and regression in various programming languages.
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Free · no card · unsubscribe anytimeA 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 has 9k stars on GitHub. It has been forked 1.3k times. catboost is written mainly in C++. It has been in active development since 2017. catboost is available under the Apache-2.0 license. Its main topics are big-data, catboost, categorical-features, coreml.
What is catboost?
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.
Is catboost open source?
catboost is an open-source project. It is released under the Apache-2.0 license.
Is catboost free?
Yes. catboost is free and open source — you can use, modify and self-host it.
What license does catboost use?
catboost is available under the Apache-2.0 license.
What language is catboost written in?
catboost is written mainly in C++.
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