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

Downloads:

Reference manual: parallelML.pdf
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: parallelML_1.2.tgz, r-oldrel: parallelML_1.2.tgz
Old sources: parallelML archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=parallelML to link to this page.