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Latest commit 440635e Jul 29, 2016 @tqchen Tag version 0.6
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R-package Tag version 0.6 Jul 29, 2016
amalgamation [R-package] GPL2 dependency reduction and some fixes (#1401) Jul 27, 2016
demo Add support for Gamma regression (#1258) Jul 6, 2016
dmlc-core @ d8d4dcc Update dmlc-core (#1408) Jul 26, 2016
doc Move model doc images to web-data (#1397) Jul 23, 2016
include/xgboost cmake build system (#1314) Jul 2, 2016
jvm-packages fix bug: doing rabit call after finalize in spark prediction phase (#… Jul 28, 2016
make [APPROX] Make global proposal default, add group ptr solution Feb 10, 2016
plugin Update dmlc-core Feb 10, 2016
python-package Tag version 0.6 Jul 29, 2016
rabit @ 2dd7476 Update rabit repository (#1409) Jul 27, 2016
src no exception throwing within omp parallel; set nthread in Learner (#1421 Jul 29, 2016
tests cmake build system (#1314) Jul 3, 2016
.gitignore revise the RabitTracker Impl Mar 4, 2016
.gitmodules [REFACTOR] cleanup structure Jan 16, 2016
.travis.yml cmake build system (#1314) Jul 3, 2016
CMakeLists.txt Check for visual studio 12.0 and newer for c++11 support (#1330) Jul 4, 2016
CONTRIBUTORS.md Expose predictLeaf functionality in Scala XGBoostModel (#1351) Jul 12, 2016
LICENSE update year in LICENSE, conf.py and README.md files Mar 15, 2016
Makefile [PYTHON] Refactor trainnig API to use callback May 19, 2016
NEWS.md Tag version 0.6 Jul 29, 2016
README.md Broken Link in README (#1275) Jun 13, 2016
build.sh Minor fix on installation guide and (the probably deprecated) build s… Feb 24, 2016


eXtreme Gradient Boosting

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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.

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XGBoost has been developed and used by a group of active community members. Your help is very valuable to make the package better for everyone.


© Contributors, 2016. Licensed under an Apache-2 license.