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## Uses of Class
de.jstacs.classifiers.performanceMeasures.NumericalPerformanceMeasureParameterSet

Packages that use NumericalPerformanceMeasureParameterSet
de.jstacs.classifiers.assessment | This package allows to assess classifiers.
de.jstacs.classifiers.performanceMeasures | This package provides the implementations of performance measures that can be used to assess any classifier

Uses of NumericalPerformanceMeasureParameterSet in de.jstacs.classifiers.assessment

Methods in de.jstacs.classifiers.assessment with parameters of type NumericalPerformanceMeasureParameterSet
`ListResult` | `ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, DataSet... s)` Assesses the contained classifiers.
`ListResult` | `ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, ProgressUpdater pU, DataSet... s)` Assesses the contained classifiers.
`ListResult` | `ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, ProgressUpdater pU, DataSet[][]... s)` Assesses the contained classifiers.
`ListResult` | `KFoldCrossValidation.assessWithPredefinedSplits(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet caaps, ProgressUpdater pU, DataSet[]... splitData)` This method implements a k-fold crossvalidation on previously split data.
`protected void` | `Sampled_RepeatedHoldOutExperiment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, DataSet[] s, ProgressUpdater pU)`
`protected void` | `RepeatedSubSamplingExperiment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, DataSet[] s, ProgressUpdater pU)` Evaluates the classifier.
`protected void` | `RepeatedHoldOutExperiment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, DataSet[] s, ProgressUpdater pU)` Evaluates the classifier.
`protected void` | `KFoldCrossValidation.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, DataSet[] s, ProgressUpdater pU)` Evaluates a classifier.
`protected abstract void` | `ClassifierAssessment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet assessPS, DataSet[] s, ProgressUpdater pU)` This method must be implemented in all subclasses.
`protected void` | `ClassifierAssessment.test(NumericalPerformanceMeasureParameterSet mp, boolean exception, DataSet... testS)` Uses the given test samples to call the `evaluate( ... )` -methods of the local `AbstractClassifier`s.

Uses of NumericalPerformanceMeasureParameterSet in de.jstacs.classifiers.performanceMeasures

Methods in de.jstacs.classifiers.performanceMeasures that return NumericalPerformanceMeasureParameterSet
`static NumericalPerformanceMeasureParameterSet` | `PerformanceMeasureParameterSet.createFilledParameters()` Creates a filled `NumericalPerformanceMeasureParameterSet` that can be used in `AbstractClassifier.evaluate(PerformanceMeasureParameterSet, boolean, de.jstacs.data.DataSet...)`

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