Skip to content

Latest commit

 

History

History
49 lines (42 loc) · 3.75 KB

README.md

File metadata and controls

49 lines (42 loc) · 3.75 KB

eXtreme Gradient Boosting

Build Status Documentation Status GitHub license CRAN Status Badge PyPI version Gitter chat for developers at https://gitter.im/dmlc/xgboost

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

Ask a Question

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.

License

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

Reference