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 evaluate-method.
static MeasureParameters AbstractClassifier.getMeasuresForEvaluateAll()
          Returns an object of the parameters for the evaluateAll-method.
 

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 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)
           
 ListResult ClassifierAssessment.assess(MeasureParameters mp, ClassifierAssessmentAssessParameterSet assessPS, Sample... s)
          Assesses the contained classifiers.
protected  boolean Sampled_RepeatedHoldOutExperiment.evaluateClassifier(MeasureParameters mp, ClassifierAssessmentAssessParameterSet assessPS, Sample[] s, ProgressUpdater pU)
           
protected  boolean RepeatedSubSamplingExperiment.evaluateClassifier(MeasureParameters mp, ClassifierAssessmentAssessParameterSet assessPS, Sample[] s, ProgressUpdater pU)
           
protected  boolean RepeatedHoldOutExperiment.evaluateClassifier(MeasureParameters mp, ClassifierAssessmentAssessParameterSet assessPS, Sample[] s, ProgressUpdater pU)
           
protected  boolean KFoldCrossValidation.evaluateClassifier(MeasureParameters mp, ClassifierAssessmentAssessParameterSet assessPS, Sample[] s, ProgressUpdater pU)
           
protected abstract  boolean 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.