⚠️There's a newer version (1.7.7.1) of this package. Take me there.

xgboost (version 0.3-1)

eXtreme Gradient Boosting

Description

This package is a R wrapper of xgboost, which is short for eXtreme Gradient Boosting. It is an efficient and scalable implementation of gradient boosting framework. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation with OpenMP, and it can be more than 10 times faster than existing gradient boosting packages such as gbm. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.

Copy Link

Version

Down Chevron

Install

install.packages('xgboost')

Monthly Downloads

75,863

Version

0.3-1

License

Apache License (== 2.0) | file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

September 7th, 2014

Functions in xgboost (0.3-1)