parallelML: A Parallel-Voting Algorithm for many Classifiers
Version 1.2

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.

AuthorWannes Rosiers (InfoFarm)
Date of publication2015-06-26 14:02:47
MaintainerWannes Rosiers <wannes.rosiers@infofarm.be>
LicenseGPL-2
Version1.2
URL www.infofarm.be
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("parallelML")

Getting started

Package overview

Popular man pages

get_args: Get all arguments of a call
getArgs: Get all arguments of a machine learning call
iris: Edgar Anderson's Iris Data
parallelML: Parallel-Voting version of machine learning algorithms
parallelML-package: Parallel-Voting version of machine learning algorithms
registerCores: registerCores
trainSample: Sample data in parallel
See all...

All man pages Function index File listing

Man pages

caller: Convert arguments of a function to a list
convertAverage: Take averages over a list of data.frames
get_args: Get all arguments of a call
getArgs: Get all arguments of a machine learning call
getCall: Convert string to function call
iris: Edgar Anderson's Iris Data
parallelML: Parallel-Voting version of machine learning algorithms
parallelML-package: Parallel-Voting version of machine learning algorithms
predictML: Parallel-Voting prediction of multiple machine learning...
registerCores: registerCores
testData: MagicGamma test data
trainData: MagicGamma training data
trainSample: Sample data in parallel

Functions

Files

NAMESPACE
data
data/iris.rda
data/magicData.rda
R
R/trainSample.R
R/getArgs.R
R/convertAverage.R
R/summary.parallelML.R
R/getCall.R
R/registerCores.R
R/fitted.parallelML.R
R/predictML.R
R/parallelML.R
R/print.parallelML.R
MD5
DESCRIPTION
man
man/predictML.Rd
man/getCall.Rd
man/iris.Rd
man/caller.Rd
man/trainData.Rd
man/registerCores.Rd
man/testData.Rd
man/parallelML.Rd
man/trainSample.Rd
man/parallelML-package.Rd
man/get_args.Rd
man/convertAverage.Rd
man/getArgs.Rd
parallelML documentation built on May 19, 2017, 1:48 p.m.

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