utiml (0.1.5)
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 8 months ago.
5 previous versions
- utiml_0.1.4. Released over 1 year ago.
- utiml_0.1.3. Released over 2 years ago.
- utiml_0.1.2. Released over 2 years ago.
- utiml_0.1.1. Released about 3 years ago.
- utiml_0.1.0. Released over 3 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of utiml yet. Want to be the first? Write one now.
Related packages: … (20 best matches, based on common tags.)
Search for utiml on google, google scholar, r-help, r-devel.
Visit utiml on R Graphical Manual.
