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


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

Reverse dependencies:

Reverse imports: ORION, rCBA


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