TunePareto: Multi-Objective Parameter Tuning for Classifiers

Generic methods for parameter tuning of classification algorithms using multiple scoring functions (Muessel et al. (2012), <doi:10.18637/jss.v046.i05>).

Version:	2.5.1
Suggests:	snowfall, desire, igraph, gsl, class, tree, e1071, randomForest, klaR
Published:	2021-10-09
Author:	Christoph Müssel, Ludwig Lausser, Hans Kestler
Maintainer:	Hans Kestler <hans.kestler at uni-ulm.de>
License:	GPL-2
NeedsCompilation:	yes
Citation:	TunePareto citation info
Materials:	NEWS
CRAN checks:	TunePareto results

Documentation:

Reference manual:

TunePareto.pdf

Downloads:

Package source:	TunePareto_2.5.1.tar.gz
Windows binaries:	r-devel: TunePareto_2.5.1.zip, r-release: TunePareto_2.5.1.zip, r-oldrel: TunePareto_2.5.1.zip
macOS binaries:	r-release (arm64): TunePareto_2.5.1.tgz, r-oldrel (arm64): TunePareto_2.5.1.tgz, r-release (x86_64): TunePareto_2.5.1.tgz, r-oldrel (x86_64): TunePareto_2.5.1.tgz
Old sources:	TunePareto archive

Reverse dependencies:

Reverse depends:	ORION
Reverse imports:	rCBA

Linking:

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