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## Uses of Class
de.jstacs.classifier.MeasureParameters

Packages that use MeasureParameters
de.jstacs.classifier | This package provides the framework for any classifier.
de.jstacs.classifier.assessment | This package allows to assess classifiers.

Uses of MeasureParameters in de.jstacs.classifier

Methods in de.jstacs.classifier that return MeasureParameters
`static MeasureParameters` | `AbstractClassifier.getMeasuresForEvaluate()` Returns an object of the parameters for the method `AbstractClassifier.evaluate(MeasureParameters, boolean, Sample...)`.
`static MeasureParameters` | `AbstractClassifier.getMeasuresForEvaluateAll()` Returns an object of the parameters for the method `AbstractClassifier.evaluateAll(MeasureParameters, boolean, Sample...)`.

Methods in de.jstacs.classifier with parameters of type MeasureParameters
`NumericalResultSet` | `AbstractClassifier.evaluate(MeasureParameters params, boolean exceptionIfNotComputeable, Sample... s)` This method evaluates the classifier and computes all numerical results as, for instance, the sensitivity for a given specificity, the area under the ROC curve and so on.
`ResultSet` | `AbstractClassifier.evaluateAll(MeasureParameters params, boolean exceptionIfNotComputeable, Sample... s)` This method evaluates the classifier and computes all results.
`protected LinkedList<? extends Result>` | `AbstractScoreBasedClassifier.getResults(Sample[] s, MeasureParameters params, boolean exceptionIfNotComputeable, boolean all)`
`protected LinkedList<? extends Result>` | `AbstractClassifier.getResults(Sample[] s, MeasureParameters params, boolean exceptionIfNotComputeable, boolean all)` This method computes the results for any evaluation of the classifier.

Uses of MeasureParameters in de.jstacs.classifier.assessment

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

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