LightGBM

Fast gradient boosting framework by Microsoft using histogram-based algorithms.

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About

LightGBM by Microsoft is a gradient boosting framework that trains decision-tree ensembles using histogram-based algorithms for speed and low memory use. It handles large tabular datasets, supports categorical features natively, offers leaf-wise tree growth, and runs on CPU, GPU, and distributed setups with Python, R, and C++ interfaces. It is a common choice for ranking, classification, and regression. Released under the MIT license.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
MIT
Added
Apr 3, 2026

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