Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update DESCRIPTION

Browse Source
This commit is contained in:
Tianqi Chen 2014-09-02 23:30:53 -07:00
parent 582ef2f9d5
commit 642b5bda0a
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
R-package/DESCRIPTION
View File

@ -1,14 +1,14 @@
Package: xgboost Package: xgboost
Type: Package Type: Package
Title: eXtreme Gradient Boosting Title: eXtreme Gradient Boosting
Version: 0.3-0 Version: 0.3-1
Date: 2014-08-23 Date: 2014-08-23
Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com> Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>
Maintainer: Tong He <hetong007@gmail.com> Maintainer: Tong He <hetong007@gmail.com>
Description: This package is a R wrapper of xgboost, which is short for eXtreme 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. It is an efficient and scalable implementation of
gradient boosting framework. The package includes efficient linear model gradient boosting framework. The package includes efficient linear model
solver and tree learning algorithm. The package can automatically do solver and tree learning algorithms. The package can automatically do
parallel computation with OpenMP, and it can be more than 10 times faster parallel computation with OpenMP, and it can be more than 10 times faster
than existing gradient boosting packages such as gbm. It supports various than existing gradient boosting packages such as gbm. It supports various
objective functions, including regression, classification and ranking. The objective functions, including regression, classification and ranking. The