parallelSVM (version 0.1-9)
A Parallel-Voting Version of the Support-Vector-Machine
Algorithm
Description
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.