New package - r-xgboost (#2493)

var/spack/repos/builtin/packages/r-xgboost/package.py

@@ -0,0 +1,54 @@
+##############################################################################
+# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
+# Produced at the Lawrence Livermore National Laboratory.
+#
+# This file is part of Spack.
+# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
+# LLNL-CODE-647188
+#
+# For details, see https://github.com/llnl/spack
+# Please also see the LICENSE file for our notice and the LGPL.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License (as
+# published by the Free Software Foundation) version 2.1, February 1999.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
+# conditions of the GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+##############################################################################
+
+from spack import *
+
+
+class RXgboost(Package):
+    """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 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."""
+
+    homepage = "https://github.com/dmlc/xgboost"
+    url      = "https://cran.r-project.org/src/contrib/xgboost_0.4-4.tar.gz"
+    list_url = "https://cran.r-project.org/src/contrib/Archive/xgboost"
+
+    version('0.4-4', 'c24d3076058101a71de4b8af8806697c')
+
+    extends('R')
+
+    depends_on('r-matrix', type=nolink)
+    depends_on('r-datatable', type=nolink)
+    depends_on('r-magrittr', type=nolink)
+    depends_on('r-stringr', type=nolink)
+
+    def install(self, spec, prefix):
+        R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir),
+          self.stage.source_path)