CatBoost
CatBoost is a state-of-the-art open-source gradient boosting on decision trees library, developed by Yandex researchers and engineers as the successor of the MatrixNet algorithm.
About CatBoost
CatBoost is a state-of-the-art open-source gradient boosting on decision trees library, developed by Yandex researchers and engineers as the successor of the MatrixNet algorithm.
Products
State-of-the-art open-source gradient boosting on decision trees library with categorical features support.
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