R: Multi-Objective Parameter Tuning for Classifiers

# Multi-Objective Parameter Tuning for Classifiers

## Documentation for package ‘TunePareto’ version 2.5.3

- DESCRIPTION file
- Package NEWS

## Help Pages

TunePareto-package | Multi-objective parameter tuning for classifiers
allCombinations | Build a list of all possible combinations of parameter values
as.interval | Specify a continous interval
createObjective | Create a new objective function
crossValidation | Predefined precalculation functions for objectives
cvAccuracy | Predefined objective functions for parameter tuning
cvConfusion | Predefined objective functions for parameter tuning
cvError | Predefined objective functions for parameter tuning
cvErrorVariance | Predefined objective functions for parameter tuning
cvFallout | Predefined objective functions for parameter tuning
cvFalseNegative | Predefined objective functions for parameter tuning
cvFalsePositive | Predefined objective functions for parameter tuning
cvMiss | Predefined objective functions for parameter tuning
cvNPV | Predefined objective functions for parameter tuning
cvPPV | Predefined objective functions for parameter tuning
cvPrecision | Predefined objective functions for parameter tuning
cvRecall | Predefined objective functions for parameter tuning
cvSensitivity | Predefined objective functions for parameter tuning
cvSpecificity | Predefined objective functions for parameter tuning
cvTrueNegative | Predefined objective functions for parameter tuning
cvTruePositive | Predefined objective functions for parameter tuning
cvWeightedError | Predefined objective functions for parameter tuning
generateCVRuns | Generate cross-validation partitions
mergeTuneParetoResults | Calculate optimal solutions from several calls of tunePareto
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
predefinedClassifiers | TunePareto wrappers for certain classifiers
predefinedObjectiveFunctions | Predefined objective functions for parameter tuning
predict.TuneParetoModel | Prediction method for TuneParetoClassifier objects
print.TuneParetoClassifier | Print method for objects used in TunePareto
print.TuneParetoModel | Print method for objects used in TunePareto
print.TuneParetoResult | Print method for objects used in TunePareto
rankByDesirability | Rank results according to their desirabilities
recalculateParetoSet | Recalculate Pareto-optimal solutions
reclassAccuracy | Predefined objective functions for parameter tuning
reclassConfusion | Predefined objective functions for parameter tuning
reclassError | Predefined objective functions for parameter tuning
reclassFallout | Predefined objective functions for parameter tuning
reclassFalseNegative | Predefined objective functions for parameter tuning
reclassFalsePositive | Predefined objective functions for parameter tuning
reclassification | Predefined precalculation functions for objectives
reclassMiss | Predefined objective functions for parameter tuning
reclassNPV | Predefined objective functions for parameter tuning
reclassPPV | Predefined objective functions for parameter tuning
reclassPrecision | Predefined objective functions for parameter tuning
reclassRecall | Predefined objective functions for parameter tuning
reclassSensitivity | Predefined objective functions for parameter tuning
reclassSpecificity | Predefined objective functions for parameter tuning
reclassTrueNegative | Predefined objective functions for parameter tuning
reclassTruePositive | Predefined objective functions for parameter tuning
reclassWeightedError | Predefined objective functions for parameter tuning
trainTuneParetoClassifier | Train a TunePareto classifier
TunePareto | Multi-objective parameter tuning for classifiers
tunePareto | Generic function for multi-objective parameter tuning of classifiers
tunePareto.knn | TunePareto wrappers for certain classifiers
tunePareto.NaiveBayes | TunePareto wrappers for certain classifiers
tunePareto.randomForest | TunePareto wrappers for certain classifiers
tunePareto.svm | TunePareto wrappers for certain classifiers
tunePareto.tree | TunePareto wrappers for certain classifiers
tuneParetoClassifier | Create a classifier object