mldr.resampling: Resampling Algorithms for Multi-Label Datasets
Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets.
| Version: | 0.2.3 |
| Imports: | data.table, e1071, mldr, pbapply, vecsets |
| Suggests: | parallel |
| Published: | 2023-08-22 |
| DOI: | 10.32614/CRAN.package.mldr.resampling |
| Author: | Miguel Ángel Dávila [cre],
Francisco Charte 
[aut],
María José Del Jesus
[aut],
Antonio Rivera
[aut] |
| Maintainer: | Miguel Ángel Dávila <madr0008 at red.ujaen.es> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | mldr.resampling results |
Documentation:
| Reference manual: | mldr.resampling.pdf |
Downloads:
| Package source: | mldr.resampling_0.2.3.tar.gz |
| Windows binaries: | r-devel: mldr.resampling_0.2.3.zip, r-release: mldr.resampling_0.2.3.zip, r-oldrel: mldr.resampling_0.2.3.zip |
| macOS binaries: | r-release (arm64): mldr.resampling_0.2.3.tgz, r-oldrel (arm64): mldr.resampling_0.2.3.tgz, r-release (x86_64): mldr.resampling_0.2.3.tgz, r-oldrel (x86_64): mldr.resampling_0.2.3.tgz |
| Old sources: | mldr.resampling archive |
Linking:
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