TunePareto: Multi-Objective Parameter Tuning for Classifiers

Generic methods for parameter tuning of classification algorithms using multiple scoring functions.

Version: 2.5
Suggests: snowfall, desire, igraph, gsl, class, tree, e1071, randomForest, klaR
Published: 2018-06-08
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

Downloads:

Reference manual: TunePareto.pdf
Package source: TunePareto_2.5.tar.gz
Windows binaries: r-devel: TunePareto_2.5.zip, r-release: TunePareto_2.5.zip, r-oldrel: TunePareto_2.5.zip
macOS binaries: r-release: TunePareto_2.5.tgz, r-oldrel: TunePareto_2.5.tgz
Old sources: TunePareto archive

Reverse dependencies:

Reverse imports: ORION, rCBA

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