FICHA · AUR

python-catboost-gpu-git

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box.

  • Machine learning library
  • LIBRARY
  • COMPUTE
  • Dependency only
official+codex · reviewed · Jun 3, 2026 description in en

Description

Gradient-boosted decision-tree models with categorical feature support can run from a GPU-enabled development build. This library is for machine-learning developers and researchers training CatBoost models. Training can consume GPU resources and datasets may contain sensitive records.

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