Uses of Class
de.jstacs.classifiers.assessment.ClassifierAssessmentAssessParameterSet

Packages that use ClassifierAssessmentAssessParameterSet

de.jstacs.classifiers.assessment

This package allows to assess classifiers.

Uses of ClassifierAssessmentAssessParameterSet in de.jstacs.classifiers.assessment

Subclasses of ClassifierAssessmentAssessParameterSet in de.jstacs.classifiers.assessment

class	KFoldCrossValidationAssessParameterSet This class implements a ClassifierAssessmentAssessParameterSet that must be used to call method assess( ... ) of a KFoldCrossValidation.
class	RepeatedHoldOutAssessParameterSet This class implements a ClassifierAssessmentAssessParameterSet that must be used to call method assess( ... ) of a RepeatedHoldOutExperiment.
class	RepeatedSubSamplingAssessParameterSet This class implements a ClassifierAssessmentAssessParameterSet that must be used to call method assess( ... ) of a RepeatedSubSamplingExperiment.
class	Sampled_RepeatedHoldOutAssessParameterSet This class implements a ClassifierAssessmentAssessParameterSet that must be used to call the method assess( ... ) of a Sampled_RepeatedHoldOutExperiment.

Methods in de.jstacs.classifiers.assessment with parameters of type ClassifierAssessmentAssessParameterSet

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.