An extensive implementation of state-of-the-art and classical algorithms to preprocess label noise in classification problems.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | RWeka, kknn, nnet, caret, e1071, rpart, randomForest, MASS, rJava, stats, utils |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2016-06-24 |
| Author: | Pablo Morales [aut], Julian Luengo [aut, cre], Luis P.F. Garcia [aut], Ana C. Lorena [aut], Andre C.P.L.F. de Carvalho [aut], Francisco Herrera [aut] |
| Maintainer: | Julian Luengo <julianlm at decsai.ugr.es> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | NoiseFiltersR results |
| Reference manual: | NoiseFiltersR.pdf |
| Vignettes: |
The NoiseFiltersR Package: Label Noise Preprocessing in R |
| Package source: | NoiseFiltersR_0.1.0.tar.gz |
| Windows binaries: | r-devel: NoiseFiltersR_0.1.0.zip, r-release: NoiseFiltersR_0.1.0.zip, r-oldrel: NoiseFiltersR_0.1.0.zip |
| OS X El Capitan binaries: | r-release: NoiseFiltersR_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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