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anaconda.org : catboost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

Registry - Source - Homepage - JSON
purl: pkg:conda/catboost
Keywords: big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial
License: Apache-2.0
Latest release: about 1 month ago
First release: over 2 years ago
Dependent packages: 2
Dependent repositories: 32
Stars: 7,155 on GitHub
Forks: 1,122 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: about 15 hours ago

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