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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.
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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 2 months 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: 2 days ago