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0.6-4 submission (#1935)

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Tong He
2017-01-04 23:31:05 -08:00
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R-package/DESCRIPTION
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Package: xgboost
Type: Package
Title: Extreme Gradient Boosting
Version: 0.6-3
Date: 2016-12-28
Version: 0.6-4
Date: 2017-01-04
Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>,
Michael Benesty <michael@benesty.fr>, Vadim Khotilovich <khotilovich@gmail.com>,
Yuan Tang <terrytangyuan@gmail.com>
Maintainer: Tong He <hetong007@gmail.com>
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 on a single machine which could be
more than 10 times faster than existing gradient boosting packages. It supports
of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
This package is its R interface. The package includes efficient linear
model solver and tree learning algorithms. The package can automatically
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.
@@ -23,7 +24,7 @@ Suggests:
knitr,
rmarkdown,
ggplot2 (>= 1.0.1),
DiagrammeR (>= 0.8.1),
DiagrammeR (>= 0.9.0),
Ckmeans.1d.dp (>= 3.3.1),
vcd (>= 1.3),
testthat,