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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- codemeta.json
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: over 4 years ago
First release: over 4 years ago
Dependent packages: 1
Downloads: 13 last month
Stars: 8,603 on GitHub
Forks: 1,240 on GitHub
Total Commits: 46922
Committers: 1139
Average commits per author: 41.196
Development Distribution Score (DDS): 0.689
More commit stats: commits.ecosyste.ms
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Last synced: 27 days ago