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npmjs.org : catboost-model
Node bindings for CatBoost library to apply models. CatBoost is a machine learning method based on gradient boosting over decision trees.
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purl: pkg:npm/catboost-model
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 3 years ago
First release: about 3 years ago
Dependent packages: 1
Downloads: 14 last month
Stars: 7,774 on GitHub
Forks: 1,149 on GitHub
Total Commits: 46922
Committers: 1139
Average commits per author: 41.196
Development Distribution Score (DDS): 0.689
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Last synced: 11 days ago
catboost 1.25.1
Node bindings for CatBoost library to apply models. CatBoost is a machine learning method based o...5 versions - Latest release: about 3 years ago - 1 dependent package - 5 dependent repositories - 255 downloads last month - 7,793 stars on GitHub - 2 maintainers