Multi-label learning methods and others utilities to support multi-
label classification in R.
Version: |
0.1.0 |
Depends: |
R (≥ 3.0.0), mldr (≥ 0.3.22) |
Imports: |
stats |
Suggests: |
C50, e1071, FSelector, infotheo, kknn, knitr, parallel, randomForest, rJava (≥ 0.9), rmarkdown, rpart, RWeka (≥ 0.4), testthat |
Published: |
2016-04-08 |
Author: |
Adriano Rivolli [aut, cre] |
Maintainer: |
Adriano Rivolli <rivolli at utfpr.edu.br> |
BugReports: |
https://github.com/rivolli/utiml |
License: |
GPL-2 | GPL-3 | file LICENSE [expanded from: GPL | file LICENSE] |
URL: |
https://github.com/rivolli/utiml |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
utiml results |