libraries/xgboost: Added (gradient boosting library).

Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>

1 files changed, 17 insertions, 0 deletions

diff --git a/libraries/xgboost/README b/libraries/xgboost/README
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+  XGBoost is an optimized distributed gradient boosting library
+designed to be highly efficient, flexible and portable. It implements
+machine learning algorithms under the Gradient Boosting framework.
+XGBoost provides a parallel tree boosting (also known as GBDT, GBM)
+that solve many data science problems in a fast and accurate way.
+The same code runs on major distributed environment (Hadoop, SGE,
+MPI) and can solve problems beyond billions of examples.
+
+
+  By default the package is build without parellization, if you want
+to enable OpenMP set the environment variable OMP=yes.
+  For enabling MPI set the environment variable MPI=yes, this requires
+a MPI implementation, use mpich (openmpi isn't working).
+  To enable GPU support set CUDA=yes, this requires the CUDA toolkit.
+  To install the Python module set PYTHON=yes (note: python3 only).
+  If you want to run the tests set the environment variable TESTS=yes,
+this requires gtest.