A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Introduction
微软/LightGBM：LightGBM 是微软开发的一种梯度提升机（Gradient Boosting Machine, GBM）框架，以其高效性、分布式处理能力及并行化特性而著称。该框架广泛用于机器学习领域的分类与回归任务，并在数据科学竞赛及工业应用中取得了显著成效。【此简介由AI生成】
MIT C++3.85 KCommitsdata-miningdecision-treesdistributedgbrtgradient-boostingkagglelightgbmmachine-learningmicrosoftparallelpythonrscikit-learn机器学习
Customize your domain