An implementation of distance-based ranking algorithms to predict rankings of labels. Two common algorithms are included: the naive Bayes and the nearest neighbor algorithms.
| Version: | 0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | pdist |
| Suggests: | knitr |
| Published: | 2015-11-22 |
| Author: | Artur Aiguzhinov [cre], Carlos Soares [aut] |
| Maintainer: | Artur Aiguzhinov <aiguzhinov at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | labelrank results |
| Reference manual: | labelrank.pdf |
| Vignettes: |
Vignette Title |
| Package source: | labelrank_0.1.tar.gz |
| Windows binaries: | r-devel: labelrank_0.1.zip, r-release: labelrank_0.1.zip, r-oldrel: labelrank_0.1.zip |
| macOS binaries: | r-release: labelrank_0.1.tgz, r-oldrel: labelrank_0.1.tgz |
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