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 ]

view (6 today), download ( 3 today ), 1 subscription

Description:

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 mloss.org.

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

Comments

No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.