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parallelML (version 1.2)

A Parallel-Voting Algorithm for many Classifiers

Description

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.

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Version

Install

install.packages('parallelML')

Monthly Downloads

20

Version

1.2

License

GPL-2

Maintainer

Wannes Rosiers

Last Published

June 26th, 2015

Functions in parallelML (1.2)

getCall

Convert string to function call
parallelML-package

Parallel-Voting version of machine learning algorithms
parallelML

Parallel-Voting version of machine learning algorithms
convertAverage

Take averages over a list of data.frames
testData

MagicGamma test data
trainData

MagicGamma training data
get_args

Get all arguments of a call
getArgs

Get all arguments of a machine learning call
iris

Edgar Anderson's Iris Data
registerCores

registerCores
predictML

Parallel-Voting prediction of multiple machine learning models
trainSample

Sample data in parallel
caller

Convert arguments of a function to a list