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.
| Version: | 1.2 |
| Depends: | R (≥ 2.14.0) |
| Imports: | parallel (≥ 3.1.1), foreach (≥ 1.2.0), doParallel (≥ 1.0.8) |
| Published: | 2015-06-26 |
| Author: | Wannes Rosiers (InfoFarm) |
| Maintainer: | Wannes Rosiers <wannes.rosiers at infofarm.be> |
| License: | GPL-2 |
| URL: | www.infofarm.be |
| NeedsCompilation: | no |
| CRAN checks: | parallelML results |
| Reference manual: | parallelML.pdf |
| Package source: | parallelML_1.2.tar.gz |
| Windows binaries: | r-devel: parallelML_1.2.zip, r-release: parallelML_1.2.zip, r-oldrel: parallelML_1.2.zip |
| macOS binaries: | r-release: parallelML_1.2.tgz, r-oldrel: parallelML_1.2.tgz |
| Old sources: | parallelML archive |
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