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 infofarm.be>
License:	GPL-2
URL:	www.infofarm.be
NeedsCompilation:	no
CRAN checks:	parallelML results

Documentation:

Reference manual:

parallelML.pdf

Downloads:

Package source:	parallelML_1.2.tar.gz
Windows binaries:	r-devel: parallelML_1.2.zip, r-release: parallelML_1.2.zip, r-oldrel: parallelML_1.2.zip
macOS binaries:	r-release (arm64): parallelML_1.2.tgz, r-oldrel (arm64): parallelML_1.2.tgz, r-release (x86_64): parallelML_1.2.tgz, r-oldrel (x86_64): parallelML_1.2.tgz
Old sources:	parallelML archive

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