CatBoost
CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks.
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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/catboost’s past year of commit activity - docs Public
catboost/docs’s past year of commit activity - catboost-viewer Public
Standalone application for plotting charts with different training statistics in a browser.
catboost/catboost-viewer’s past year of commit activity
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