parallelSVM (0.1-6)

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.

Maintainer: Wannes Rosiers
Author(s): Wannes Rosiers (InfoFarm)

License: GPL-2

Uses: doMC, doParallel, e1071, foreach

Released over 4 years ago.