CatBoost
CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks.
Pinned
Repositories
- 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.
- benchmarks
Comparison tools
- catboost-viewer
Standalone application for plotting charts with different training statistics in a browser.