Multi-objective parameter tuning for classifiers

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Documentation for package ‘TunePareto’ version 1.0

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TunePareto-package Multi-objective parameter tuning for classifiers
allCombinations Build a list of all possible combinations of parameter values
callClassifier Generic function to call a classifier
createObjective Create a new objective function
crossValidation Predefined precalculation functions for objectives
cvError Predefined objective functions for parameter tuning
cvErrorVariance Predefined objective functions for parameter tuning
cvSensitivity Predefined objective functions for parameter tuning
cvSpecificity Predefined objective functions for parameter tuning
cvWeightedError Predefined objective functions for parameter tuning
plotDominationGraph Visualize the Pareto fronts of parameter configuration scores
plotObjectivePairs Plot a matrix of Pareto front panels
plotParetoFronts2D A classical 2-dimensional plot of Pareto fronts
precalculation Predefined precalculation functions for objectives
predefinedObjectiveFunctions Predefined objective functions for parameter tuning
print.TuneParetoResult Print function for the result of a parameter tuning
reclassError Predefined objective functions for parameter tuning
reclassification Predefined precalculation functions for objectives
reclassSensitivity Predefined objective functions for parameter tuning
reclassSpecificity Predefined objective functions for parameter tuning
reclassWeightedError Predefined objective functions for parameter tuning
TunePareto Multi-objective parameter tuning for classifiers
tunePareto Generic function for multi-objective parameter tuning of classifiers
tunePareto.knn Wrappers of tunePareto for certain classifiers
tunePareto.randomForest Wrappers of tunePareto for certain classifiers
tunePareto.svm Wrappers of tunePareto for certain classifiers
tunePareto.tree Wrappers of tunePareto for certain classifiers