parallelSVM: A Parallel-Voting Version of the Support-Vector-Machine Algorithm
Version 0.1-9

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.

Package details

AuthorWannes Rosiers (InfoFarm)
Date of publication2015-06-26 13:34:36
MaintainerWannes Rosiers <wannes.rosiers@infofarm.be>
LicenseGPL-2
Version0.1-9
URL www.infofarm.be
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("parallelSVM")

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parallelSVM documentation built on May 30, 2017, 12:32 a.m.