LG
LightGBM
Fast gradient boosting framework. Lightweight, distributed, and high-performance tree-based learning.
About LightGBM
LightGBM is a gradient boosting framework by Microsoft that uses tree-based learning algorithms. It is designed to be distributed and efficient with faster training speed, lower memory usage, and better accuracy.
Key Features
✓ Leaf-wise tree growth
✓ GPU acceleration
✓ Categorical feature support
✓ Distributed training
✓ Low memory footprint
✓ DART & GOSS algorithms
Why choose LightGBM?
LightGBM is an open source alternative to XGBoost, CatBoost. Licensed under MIT, it gives you full access to the source code and the freedom to modify, self-host, and contribute. It is available as a desktop or web application.