update links dmlc
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@@ -27,7 +27,7 @@ It is an efficient and scalable implementation of gradient boosting framework by
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It supports various objective functions, including *regression*, *classification* and *ranking*. The package is made to be extendible, so that users are also allowed to define their own objective functions easily.
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It has been [used](https://github.com/tqchen/xgboost) to win several [Kaggle](http://www.kaggle.com) competitions.
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It has been [used](https://github.com/dmlc/xgboost) to win several [Kaggle](http://www.kaggle.com) competitions.
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It has several features:
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@@ -49,7 +49,7 @@ Github version
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For up-to-date version (highly recommended), install from *Github*:
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```{r installGithub, eval=FALSE}
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devtools::install_github('tqchen/xgboost', subdir='R-package')
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devtools::install_github('dmlc/xgboost', subdir='R-package')
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```
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> *Windows* user will need to install [RTools](http://cran.r-project.org/bin/windows/Rtools/) first.
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