parallelML: A Parallel-Voting Algorithm for many Classifiers

By sampling your data, running the provided classifier 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 machine learning algorithm and possibly even more accurate predictions.

Version: 1.2
Depends: R (≥ 2.14.0)
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>
License: GPL-2
NeedsCompilation: no
CRAN checks: parallelML results


Reference manual: parallelML.pdf
Package source: parallelML_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: parallelML_1.2.tgz
OS X Mavericks binaries: r-oldrel: parallelML_1.2.tgz
Old sources: parallelML archive


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