parallelSVM: A Parallel-Voting Version of the Support-Vector-Machine Algorithm

By sampling your data, running the Support-Vector-Machine algorithm on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular Support-Vector-Machine and possibly even more accurate predictions.

Version: 0.1-9
Depends: R (≥ 2.14.0), e1071 (≥ 1.6-3)
Imports: parallel (≥ 3.1.1), foreach (≥ 1.2.0), doParallel (≥ 1.0.8)
Published: 2015-06-26
Author: Wannes Rosiers (InfoFarm)
Maintainer: Wannes Rosiers <wannes.rosiers at infofarm.be>
License: GPL-2
URL: www.infofarm.be
NeedsCompilation: no
CRAN checks: parallelSVM results

Downloads:

Reference manual: parallelSVM.pdf
Package source: parallelSVM_0.1-9.tar.gz
Windows binaries: r-devel: parallelSVM_0.1-9.zip, r-release: parallelSVM_0.1-9.zip, r-oldrel: parallelSVM_0.1-9.zip
OS X El Capitan binaries: r-release: parallelSVM_0.1-9.tgz
OS X Mavericks binaries: r-oldrel: parallelSVM_0.1-9.tgz
Old sources: parallelSVM archive

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