lightgbm
LightGBM is a gradient boosting framework that uses tree based learning algorithms.
LightGBM is a gradient boosting framework that uses tree based learning algorithms.
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A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Summary
LightGBM is a gradient boosting framework that uses tree based learning algorithms.
Last Updated
Jun 4, 2021 at 18:47
License
MIT
Total Downloads
9
Supported Platforms
GitHub Repository
https://github.com/Microsoft/LightGBMDocumentation
http://lightgbm.readthedocs.io/en/latest/