eXtreme Gradient Boosting =========== [](https://travis-ci.org/dmlc/xgboost) [](https://xgboost.readthedocs.org) [](./LICENSE) [](http://cran.r-project.org/web/packages/xgboost) [](https://pypi.python.org/pypi/xgboost/) [](https://gitter.im/dmlc/xgboost?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [Documentation](https://xgboost.readthedocs.org) | [Resources](demo/README.md) | [Installation](https://xgboost.readthedocs.org/en/latest/build.html) | [Release Notes](NEWS.md) | [RoadMap](https://github.com/dmlc/xgboost/issues/873) 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](https://en.wikipedia.org/wiki/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 ---------- * [XGBoost brick](NEWS.md) Release Ask a Question -------------- * For reporting bugs please use the [xgboost/issues](https://github.com/dmlc/xgboost/issues) page. * For generic questions for to share your experience using xgboost please use the [XGBoost User Group](https://groups.google.com/forum/#!forum/xgboost-user/) 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](https://github.com/dmlc/xgboost/issues?q=is%3Aissue+is%3Aclosed+label%3Acall-for-contribution) and [Roadmap](https://github.com/dmlc/xgboost/issues/873) to see what can be improved, or open an issue if you want something. - Contribute to the [documents and examples](https://github.com/dmlc/xgboost/blob/master/doc/) to share your experience with other users. - Add your stories and experience to [Awesome XGBoost](demo/README.md). - Please add your name to [CONTRIBUTORS.md](CONTRIBUTORS.md) and after your patch has been merged. - Please also update [NEWS.md](NEWS.md) on changes and improvements in API and docs. License ------- © Contributors, 2015. Licensed under an [Apache-2](https://github.com/dmlc/xgboost/blob/master/LICENSE) license.