as.ranking

mlresult

A character string specifying how ties are treated
(Default: "min"). see <code><a rd-options="" href="/link/rank?package=utiml&version=0.1.7" data-mini-rdoc="utiml::rank">rank</a></code> to more details.

ties.method

Others parameters passed to the <code><a rd-options="" href="/link/rank?package=utiml&version=0.1.7" data-mini-rdoc="utiml::rank">rank</a></code> method.

Convert a mlresult to a ranking matrix

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.

Adriano Rivolli

utiml

Utilities for Multi-Label Learning

as.ranking function

A character string specifying how ties are treated
(Default: "min"). see <code><a rd-options='' href='rank'>rank</a></code> to more details.

Others parameters passed to the <code><a rd-options='' href='rank'>rank</a></code> method.

as.ranking: Convert a mlresult to a ranking matrix

Description

Usage

Arguments

Value