rivolli/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.

Getting started

Package details

Maintainer
LicenseGPL | file LICENSE
Version0.1.6.9001
URL https://github.com/rivolli/utiml
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("rivolli/utiml")
rivolli/utiml documentation built on Sept. 16, 2020, 4:53 a.m.