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TunePareto
View on CRAN: Click
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Download and install TunePareto package within the R console
Install from CRAN:
install.packages("TunePareto")
Install from Github:
library("remotes")
install_github("cran/TunePareto") Install by package version:
library("remotes")
install_version("TunePareto", "2.5.3") Attach the package and use:
library("TunePareto")
Maintained by
Hans Kestler
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All associated links for this package
First Published: 2010-08-16
Latest Update: 2023-10-02
Description:
Generic methods for parameter tuning of classification algorithms using multiple scoring functions (Muessel et al. (2012), <doi:10.18637/jss.v046.i05>).
How to cite:
Hans Kestler (2010). TunePareto: Multi-Objective Parameter Tuning for Classifiers. R package version 2.5.3, https://cran.r-project.org/web/packages/TunePareto. Accessed 20 Sep. 2026.
Previous versions and publish date:
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Complete documentation for TunePareto
Functions, R codes and Examples using
the TunePareto R package
Some associated functions: TunePareto-package . allCombinations . as.interval . createObjective . generateCVRuns . mergeTuneParetoResults . plotDominationGraph . plotObjectivePairs . plotParetoFronts2D . precalculation . predefinedClassifiers . predefinedObjectiveFunctions . predict.TuneParetoModel . print.TuneParetoResult . rankByDesirability . recalculateParetoSet . trainTuneParetoClassifier . tunePareto . tuneParetoClassifier .
Some associated R codes: classifiers.R . desirability.R . helpers.R . objectiveFunctions.R . random.R . tunePareto.R . visualizations.R . Full TunePareto package functions and examples
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