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src=https://raw.githubusercontent.com/dmlc/dmlc.github.io/master/img/logo-m/xgboost.png width=135/\u003e  eXtreme Gradient Boosting\n===========\n[![Build Status](https://travis-ci.org/dmlc/xgboost.svg?branch=master)](https://travis-ci.org/dmlc/xgboost)\n[![Build Status](https://ci.appveyor.com/api/projects/status/5ypa8vaed6kpmli8?svg=true)](https://ci.appveyor.com/project/tqchen/xgboost)\n[![Documentation Status](https://readthedocs.org/projects/xgboost/badge/?version=latest)](https://xgboost.readthedocs.org)\n[![GitHub license](http://dmlc.github.io/img/apache2.svg)](./LICENSE)\n[![CRAN Status Badge](http://www.r-pkg.org/badges/version/xgboost)](http://cran.r-project.org/web/packages/xgboost)\n[![PyPI version](https://badge.fury.io/py/xgboost.svg)](https://pypi.python.org/pypi/xgboost/)\n[![Gitter chat for developers at https://gitter.im/dmlc/xgboost](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/dmlc/xgboost?utm_source=badge\u0026utm_medium=badge\u0026utm_campaign=pr-badge\u0026utm_content=badge)\n\n[Documentation](https://xgboost.readthedocs.org) |\n[Resources](demo/README.md) |\n[Installation](https://xgboost.readthedocs.org/en/latest/build.html) |\n[Release Notes](NEWS.md) |\n[RoadMap](https://github.com/dmlc/xgboost/issues/873)\n\nXGBoost is an optimized distributed gradient boosting library designed to be highly ***efficient***, ***flexible*** and ***portable***.\nIt implements machine learning algorithms under the [Gradient Boosting](https://en.wikipedia.org/wiki/Gradient_boosting) framework.\nXGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.\nThe same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.\n\nWhat's New\n----------\n* [XGBoost GPU support with fast histogram algorithm](https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu)\n* [XGBoost4J: Portable Distributed XGboost in Spark, Flink and Dataflow](http://dmlc.ml/2016/03/14/xgboost4j-portable-distributed-xgboost-in-spark-flink-and-dataflow.html), see [JVM-Package](https://github.com/dmlc/xgboost/tree/master/jvm-packages)\n* [Story and Lessons Behind the Evolution of XGBoost](http://homes.cs.washington.edu/~tqchen/2016/03/10/story-and-lessons-behind-the-evolution-of-xgboost.html)\n* [Tutorial: Distributed XGBoost on AWS with YARN](https://xgboost.readthedocs.io/en/latest/tutorials/aws_yarn.html)\n* [XGBoost brick](NEWS.md) Release\n\nAsk a Question\n--------------\n* For reporting bugs please use the [xgboost/issues](https://github.com/dmlc/xgboost/issues) page.\n* For generic questions or to share your experience using XGBoost please use the [XGBoost User Group](https://groups.google.com/forum/#!forum/xgboost-user/)\n\nHelp to Make XGBoost Better\n---------------------------\nXGBoost has been developed and used by a group of active community members. Your help is very valuable to make the package better for everyone.\n- Check out [call for contributions](https://github.com/dmlc/xgboost/issues?q=is%3Aissue+label%3Acall-for-contribution+is%3Aopen) and [Roadmap](https://github.com/dmlc/xgboost/issues/873) to see what can be improved, or open an issue if you want something.\n- Contribute to the [documents and examples](https://github.com/dmlc/xgboost/blob/master/doc/) to share your experience with other users.\n- Add your stories and experience to [Awesome XGBoost](demo/README.md).\n- Please add your name to [CONTRIBUTORS.md](CONTRIBUTORS.md) and after your patch has been merged.\n  - Please also update [NEWS.md](NEWS.md) on changes and improvements in API and docs.\n\nLicense\n-------\n© Contributors, 2016. Licensed under an [Apache-2](https://github.com/dmlc/xgboost/blob/master/LICENSE) license.\n\nReference\n---------\n- Tianqi Chen and Carlos Guestrin. [XGBoost: A Scalable Tree Boosting System](http://arxiv.org/abs/1603.02754). In 22nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2016 \n- XGBoost originates from research project at University of Washington, see also the [Project Page at UW](http://dmlc.cs.washington.edu/xgboost.html).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabricks%2Fxgboost-linux64","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatabricks%2Fxgboost-linux64","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatabricks%2Fxgboost-linux64/lists"}