utiml: Utilities for Multi-Label Learning

Multi-label learning methods and others utilities to support multi- label classification in R.

Version: 0.1.1
Depends: R (≥ 3.0.0), mldr (≥ 0.3.22)
Imports: stats, utils
Suggests: C50, e1071, FSelector, infotheo, kknn, knitr, parallel, randomForest, rJava (≥ 0.9), rmarkdown, rpart, RWeka (≥ 0.4), testthat, xgboost
Published: 2016-11-19
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


Reference manual: utiml.pdf
Vignettes: utiml: Utilities for Multi-label Learning
Package source: utiml_0.1.1.tar.gz
Windows binaries: r-devel: utiml_0.1.1.zip, r-release: utiml_0.1.1.zip, r-oldrel: utiml_0.1.1.zip
OS X Mavericks binaries: r-release: utiml_0.1.0.tgz, r-oldrel: utiml_0.1.0.tgz
Old sources: utiml archive


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