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DESCRIPTION
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DESCRIPTION
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Package: utiml
Type: Package
Title: Utilities for Multi-Label Learning
Version: 0.1.5
Date: 2019-03-15
Authors@R: person("Adriano", "Rivolli", email = "[email protected]",
role = c("aut", "cre"))
Description: 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.
URL: https://github.com/rivolli/utiml
Depends:
R (>= 3.0.0),
mldr(>= 0.4.0),
parallel,
ROCR
Imports:
stats,
utils
Suggests:
C50,
e1071,
FSelector,
infotheo,
kknn,
knitr,
randomForest,
rJava(>= 0.9),
rmarkdown,
rpart,
RWeka(>= 0.4),
testthat,
xgboost(>= 0.6-4)
License: GPL | file LICENSE
LazyData: true
BugReports: https://github.com/rivolli/utiml
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Encoding: UTF-8