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pypi.org : boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost

Registry - Source - Documentation - JSON
purl: pkg:pypi/boost-loss
Keywords: autograd, catboost, custom-loss, custom-loss-functions, evaluation-metrics, gbdt, gradient-boosting, hacktoberfest, lightgbm, pytorch, scikit-learn, sklearn, sklearn-compatible, xgboost
License: MIT
Latest release: 4 months ago
First release: 12 months ago
Downloads: 83 last month
Stars: 6 on GitHub
Forks: 0 on GitHub
Total Commits: 146
Committers: 4
Average commits per author: 36.5
Development Distribution Score (DDS): 0.233
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/34j
Last synced: 6 days ago

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