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码云极速下载 / xgboost

此项目是为了提升国内下载速度的镜像仓库,每日同步一次,原项目仓库地址为 https://github.com/dmlc/xgboost。
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README.md 4.00 KB

eXtreme Gradient Boosting

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Documentation | Resources | Installation | Release Notes | RoadMap

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.

What's New

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Help to Make XGBoost Better

XGBoost has been developed and used by a group of active community members. Your help is very valuable to make the package better for everyone.

  • Check out call for contributions and Roadmap to see what can be improved, or open an issue if you want something.
  • Contribute to the documents and examples to share your experience with other users.
  • Add your stories and experience to Awesome XGBoost.
  • Please add your name to CONTRIBUTORS.md and after your patch has been merged.
    • Please also update NEWS.md on changes and improvements in API and docs.

License

© Contributors, 2016. Licensed under an Apache-2 license.

Reference

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