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plugin Fix cmake build for linux. Update GPU benchmarks. (#1904) Dec 23, 2016
python-package A fix regarding the compatibility with python 2.6 (#1981) Jan 30, 2017
rabit @ a9a2a69 Fix warnings from g++5 or higher (#1510) Aug 26, 2016
src [DATALoad] Automatically remove Nan when load from sparse matrix Feb 25, 2017
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CMakeLists.txt Fix cmake build for linux. Update GPU benchmarks. (#1904) Dec 23, 2016
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appveyor.yml GPU plug-in improvements + basic Windows continuous integration (#1752) Nov 10, 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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