From 642b5bda0a6928588619678f0fa323bfe6011d92 Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Tue, 2 Sep 2014 23:30:53 -0700 Subject: [PATCH] Update DESCRIPTION --- R-package/DESCRIPTION | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R-package/DESCRIPTION b/R-package/DESCRIPTION index baf5912f4..33258bf5c 100644 --- a/R-package/DESCRIPTION +++ b/R-package/DESCRIPTION @@ -1,14 +1,14 @@ Package: xgboost Type: Package Title: eXtreme Gradient Boosting -Version: 0.3-0 +Version: 0.3-1 Date: 2014-08-23 Author: Tianqi Chen , Tong He Maintainer: Tong He 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 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 than existing gradient boosting packages such as gbm. It supports various objective functions, including regression, classification and ranking. The