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.

Author
Wannes Rosiers (InfoFarm)
Date of publication
2015-06-26 14:02:47
Maintainer
Wannes Rosiers <wannes.rosiers@infofarm.be>
License
GPL-2
Version
1.2
URLs

View on CRAN

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

Files in this package

parallelML
parallelML/NAMESPACE
parallelML/data
parallelML/data/iris.rda
parallelML/data/magicData.rda
parallelML/R
parallelML/R/trainSample.R
parallelML/R/getArgs.R
parallelML/R/convertAverage.R
parallelML/R/summary.parallelML.R
parallelML/R/getCall.R
parallelML/R/registerCores.R
parallelML/R/fitted.parallelML.R
parallelML/R/predictML.R
parallelML/R/parallelML.R
parallelML/R/print.parallelML.R
parallelML/MD5
parallelML/DESCRIPTION
parallelML/man
parallelML/man/predictML.Rd
parallelML/man/getCall.Rd
parallelML/man/iris.Rd
parallelML/man/caller.Rd
parallelML/man/trainData.Rd
parallelML/man/registerCores.Rd
parallelML/man/testData.Rd
parallelML/man/parallelML.Rd
parallelML/man/trainSample.Rd
parallelML/man/parallelML-package.Rd
parallelML/man/get_args.Rd
parallelML/man/convertAverage.Rd
parallelML/man/getArgs.Rd