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Package: xgboost
Type: Package
Title: R wrapper of xgboost
Title: eXtreme Gradient Boosting
Version: 0.3-0
Date: 2014-08-23
Author: Tianqi Chen, Tong He
Maintainer: Tong He <hetong007@gmail.com>
Description: xgboost
Description: xgboost is short for eXtreme Gradient Boosting package.
It is an efficient and scalable implementation of gradient boosting framework.
The package includes efficient linear model solver and tree learning algorithm.
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 extendible, so that user are also allowed to define there own objectives easily.
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/tqchen/xgboost
BugReports: https://github.com/tqchen/xgboost/issues