utiml: Utilities for Multi-Label Learning

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) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.

Package details

AuthorAdriano Rivolli [aut, cre]
MaintainerAdriano Rivolli <rivolli@utfpr.edu.br>
URL https://github.com/rivolli/utiml
Package repositoryView on CRAN
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utiml documentation built on May 31, 2021, 9:09 a.m.