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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.
We are happy to announce that we have reached 20,000 stars on GitHub! Thank you for your support and contributions to the Recommenders project. We are excited to continue building and improving this project with your help.
sh, ClawHub, Tencent SkillHub, GitHub, X and 10+ communities. Open data (CSV).
js 为生成文件,不直接编辑。npm 构建会把校对源打入包内,不依赖网站文案接口。校对内容匹配原始介绍与 README;轻量索引省略 README 时,还必须匹配已校对的快照 ID。
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