utiml (0.1.6)
Utilities for Multi-Label Learning.
https://github.com/rivolli/utiml
http://cran.r-project.org/web/packages/utiml
Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.
Maintainer:
Adriano Rivolli
Author(s): Adriano Rivolli [aut, cre]
License: GPL | file LICENSE
Uses: ROCR, e1071, kknn, randomForest, rpart, FSelector, infotheo, testthat, knitr, C50, rmarkdown
Released about 1 month ago.
6 previous versions
- utiml_0.1.5. Released about 1 year ago.
- utiml_0.1.4. Released almost 2 years ago.
- utiml_0.1.3. Released over 2 years ago.
- utiml_0.1.2. Released almost 3 years ago.
- utiml_0.1.1. Released over 3 years ago.
- utiml_0.1.0. Released almost 4 years ago.
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