2a59ff2f9b
* Multi-GPU support in GPUPredictor. - GPUPredictor is multi-GPU - removed DeviceMatrix, as it has been made obsolete by using HostDeviceVector in DMatrix * Replaced pointers with spans in GPUPredictor. * Added a multi-GPU predictor test. * Fix multi-gpu test. * Fix n_rows < n_gpus. * Reinitialize shards when GPUSet is changed. * Tests range of data. * Remove commented code. * Remove commented code.
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.
License
© Contributors, 2016. Licensed under an Apache-2 license.
Contribute to XGBoost
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. Checkout the Community Page
Reference
- Tianqi Chen and Carlos Guestrin. XGBoost: A Scalable Tree Boosting System. In 22nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2016
- XGBoost originates from research project at University of Washington.