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LightGBM 中文文档

Home Page: http://lightgbm.apachecn.org

License: GNU General Public License v3.0

lightgbm-doc-zh's Introduction

LightGBM 中文文档

LightGBM 是一个梯度 boosting 框架, 使用基于学习算法的决策树. 它是分布式的, 高效的, 装逼的, 它具有以下优势:

  • 速度和内存使用的优化
    • 减少分割增益的计算量
    • 通过直方图的相减来进行进一步的加速
    • 减少内存的使用 减少并行学习的通信代价
  • 稀疏优化
  • 准确率的优化
    • Leaf-wise (Best-first) 的决策树生长策略
    • 类别特征值的最优分割
  • 网络通信的优化
  • 并行学习的优化
    • 特征并行
    • 数据并行
    • 投票并行
  • GPU 支持可处理大规模数据

更多有关 LightGBM 特性的详情, 请参阅: LightGBM 特性.

文档地址

LightGBM 中文文档: http://lightgbm.apachecn.org/cn/latest/
LightGBM 英文文档: http://lightgbm.apachecn.org/en/latest/

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