parallelML: A Parallel-Voting Algorithm for many Classifiers

By sampling your data, running the provided classifier 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 machine learning algorithm and possibly even more accurate predictions.

AuthorWannes Rosiers (InfoFarm)
Date of publication2015-06-26 14:02:47
MaintainerWannes Rosiers <wannes.rosiers@infofarm.be>
LicenseGPL-2
Version1.2
www.infofarm.be

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.