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| 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 |
| cvConfusion | Predefined objective functions for parameter tuning |
| 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 |
| 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 |
| reclassConfusion | Predefined objective functions for 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 |
| 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 |