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 <[email protected]>
Package repositoryView on CRAN
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parallelSVM documentation built on May 30, 2017, 12:32 a.m.