Name: xgboost
Owner: Distributed (Deep) Machine Learning Community
Description: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Created: 2014-02-06 17:28:03.0
Updated: 2018-01-18 22:55:38.0
Pushed: 2018-01-18 18:54:25.0
Size: 8251
Language: C++
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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.
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.