Project details for pGBRT, Parallel Gradient Boosted Regression Trees

Logo pGBRT, Parallel Gradient Boosted Regression Trees 0.9

by swtyree - September 16, 2011, 22:15:46 CET [ Project Homepage BibTeX Download ]

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The package pGBRT implements a parallel algorithm for training gradient boosted regression trees (GBRT). The software learns an ensemble of truncated regression trees on a feature-wise distributed training set. Written in C++ with parallel/distributed communication provided by MPI, pGBRT supports efficient execution on both shared memory and cluster systems.

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Supported Operating Systems: Platform Independent
Data Formats: Svmlight, Svmrank
Tags: Distributed, Parallel, Gradient Boosting
Archive: download here


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