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.
|Author||Adriano Rivolli [aut, cre]|
|Maintainer||Adriano Rivolli <[email protected]>|
|License||GPL | file LICENSE|
|Package repository||View on CRAN|
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