From 3a091fa30265e51f4e1b6e72960b78bbe7d5e597 Mon Sep 17 00:00:00 2001 From: hetong007 Date: Fri, 31 Jul 2015 21:33:54 +0000 Subject: [PATCH] modify desc --- R-package/DESCRIPTION | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/R-package/DESCRIPTION b/R-package/DESCRIPTION index 6f784fbb3..4560971e2 100644 --- a/R-package/DESCRIPTION +++ b/R-package/DESCRIPTION @@ -1,16 +1,16 @@ Package: xgboost Type: Package -Title: eXtreme Gradient Boosting -Version: 0.4-0 +Title: Extreme Gradient Boosting +Version: 0.4-1 Date: 2015-05-11 Author: Tianqi Chen , Tong He , Michael Benesty Maintainer: Tong He -Description: eXtreme Gradient Boosting, which is an - efficient and scalable implementation of gradient boosting framework. - This package is an R wrapper of xgboost. The package includes efficient +Description: Extreme Gradient Boosting, which is an + efficient implementation of gradient boosting framework. + This package is its R interface. 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 + do parallel computation on a single machine which could be more than 10 times faster + than existing gradient boosting packages. 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.