{"id":19883757,"url":"https://github.com/apachecn/lightgbm-doc-zh","last_synced_at":"2025-04-12T21:31:10.238Z","repository":{"id":37736131,"uuid":"114868702","full_name":"apachecn/lightgbm-doc-zh","owner":"apachecn","description":"LightGBM 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LightGBM 中文文档\n\nLightGBM 是一个梯度 boosting 框架, 使用基于学习算法的决策树.\n它是分布式的, 高效的, 装逼的, 它具有以下优势:\n* 速度和内存使用的优化\n  * 减少分割增益的计算量\n  * 通过直方图的相减来进行进一步的加速\n  * 减少内存的使用\n  减少并行学习的通信代价\n* 稀疏优化\n* 准确率的优化\n  * Leaf-wise (Best-first) 的决策树生长策略\n  * 类别特征值的最优分割\n* 网络通信的优化\n* 并行学习的优化\n  * 特征并行\n  * 数据并行\n  * 投票并行\n* GPU 支持可处理大规模数据\n\n更多有关 LightGBM 特性的详情, 请参阅: [LightGBM 特性]().\n\n## 文档地址\n\n+   [在线阅读](http://lightgbm.apachecn.org)\n+   [在线阅读（Gitee）](https://apachecn.gitee.io/lightgbm-doc-zh/)\n\n## 项目负责人\n\n*   [@那伊抹微笑](https://github.com/wangyangting)\n\n## 项目贡献者\n\n*   [@那伊抹微笑](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@陈瑶](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@胡世昌](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@王金树](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@谢家柯](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@方振影](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@臧艺](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@冯斐](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@黄志浩](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@刘陆琛](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@周立刚](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@陈洪](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@孙永杰](https://github.com/apachecn/lightgbm-doc-zh)\n*   [@王贤才](https://github.com/apachecn/lightgbm-doc-zh)\n\n## 下载\n\n### Docker\n\n```\ndocker pull apachecn0/lightgbm-doc-zh\ndocker run -tid -p \u003cport\u003e:80 apachecn0/lightgbm-doc-zh\n# 访问 http://localhost:{port} 查看文档\n```\n\n### PYPI\n\n```\npip install lightgbm-doc-zh\nlightgbm-doc-zh \u003cport\u003e\n# 访问 http://localhost:{port} 查看文档\n```\n\n### NPM\n\n```\nnpm install -g lightgbm-doc-zh\nlightgbm-doc-zh \u003cport\u003e\n# 访问 http://localhost:{port} 查看文档\n```\n\n## 贡献指南\n\n为了使项目更加便于维护，我们将文档格式全部转换成了 Markdown，同时更换了页面生成器。后续维护工作将完全在 Markdown 上进行。\n\n小部分格式仍然存在问题，主要是链接和表格。需要大家帮忙找到，并提 PullRequest 来修复。\n\n## 建议反馈\n\n*   联系项目负责人 [@那伊抹微笑](https://github.com/wangyangting).\n*   在我们的 [apachecn/lightgbm-doc-zh](https://github.com/apachecn/lightgbm-doc-zh) github 上提 issue.\n*   发送到 Email: lightgbm#apachecn.org（#替换成@）.\n*   在我们的 [组织学习交流群](./apachecn-learning-group.rst) 中联系群主/管理员即可.\n\n## 组织学习交流群\n\n机器学习交流群: [629470233](http://shang.qq.com/wpa/qunwpa?idkey=bcee938030cc9e1552deb3bd9617bbbf62d3ec1647e4b60d9cd6b6e8f78ddc03) （2000人）\n\n大数据交流群: [214293307](http://shang.qq.com/wpa/qunwpa?idkey=bcee938030cc9e1552deb3bd9617bbbf62d3ec1647e4b60d9cd6b6e8f78ddc03) （2000人）\n\n了解我们: [http://www.apachecn.org/organization/209.html](http://www.apachecn.org/organization/209.html)\n\n加入组织: [http://www.apachecn.org/organization/209.html](http://www.apachecn.org/organization/209.html)\n\n更多信息请参阅: [http://www.apachecn.org/organization/348.html](http://www.apachecn.org/organization/348.html)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapachecn%2Flightgbm-doc-zh","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapachecn%2Flightgbm-doc-zh","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapachecn%2Flightgbm-doc-zh/lists"}