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pGBRT, Parallel Gradient Boosted Regression Trees 0.9
by swtyree - September 16, 2011, 22:15:46 CET [
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- 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
- Supported Operating Systems: Platform Independent
- Data Formats: Svmlight, Svmrank
- Tags: Distributed, Parallel, Gradient Boosting
- Archive: download here
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Project details for pGBRT, Parallel Gradient Boosted Regression Trees
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Details
- Version:
- 0.9
- Submitter:
- swtyree
- Author(s):
- Stephen Tyree , Killian Q. Weinberger , Kunal Agrawal
- Posted:
- 16 September 2011
- Last Updated:
- 16 September 2011
- Open Source License:
- bsd
- Programming Language(s):
- c++