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>	MappingClassifier.getResults(Sample[] s, MeasureParameters params, boolean exceptionIfNotComputeable, boolean all)
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 AbstractClassifiers.