parallelSVM: A Parallel-Voting Version of the Support-Vector-Machine Algorithm

By sampling your data, running the Support-Vector-Machine algorithm 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 Support-Vector-Machine and possibly even more accurate predictions.

Author
Wannes Rosiers (InfoFarm)
Date of publication
2015-06-26 13:34:36
Maintainer
Wannes Rosiers <wannes.rosiers@infofarm.be>
License
GPL-2
Version
0.1-9
URLs

View on CRAN

Man pages

iris
Edgar Anderson's Iris Data
parallelSVM
Parallel-voting version of Support-Vector-Machine
parallelSVM-package
Parallel-voting version of Support-Vector-Machine
registerCores
registerCores
testData
MagicGamma test data
trainData
MagicGamma training data
trainSample
Sample data in parallel

Files in this package

parallelSVM
parallelSVM/NAMESPACE
parallelSVM/data
parallelSVM/data/iris.rda
parallelSVM/data/magicData.rda
parallelSVM/R
parallelSVM/R/trainSample.R
parallelSVM/R/predict.parallelSVM.R
parallelSVM/R/print.parallelSVM.R
parallelSVM/R/parallelSVM.R
parallelSVM/R/registerCores.R
parallelSVM/R/fitted.parallelSVM.R
parallelSVM/R/summary.parallelSVM.R
parallelSVM/MD5
parallelSVM/DESCRIPTION
parallelSVM/man
parallelSVM/man/parallelSVM.Rd
parallelSVM/man/iris.Rd
parallelSVM/man/trainData.Rd
parallelSVM/man/registerCores.Rd
parallelSVM/man/testData.Rd
parallelSVM/man/parallelSVM-package.Rd
parallelSVM/man/trainSample.Rd