Uses of Interface
de.jstacs.utils.ProgressUpdater

Packages that use ProgressUpdater

de.jstacs.classifiers.assessment	This package allows to assess classifiers. It contains the class ClassifierAssessment that is used as a super-class of all implemented methodologies of an assessment to assess classifiers.
de.jstacs.utils	This package contains a bundle of useful classes and interfaces like ...

Uses of ProgressUpdater in de.jstacs.classifiers.assessment

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

ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, ProgressUpdater pU, DataSet[] s) Assesses the contained classifiers.
ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, ProgressUpdater pU, DataSet[][]... s) Assesses the contained classifiers.
ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, ProgressUpdater pU, DataSet[] s, double[][] weights) Assesses the contained classifiers.
ListResult	KFoldCrossValidation.assessWithPredefinedSplits(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet caaps, ProgressUpdater pU, DataSet[][] splitData, double[][][] splitWeights) This method implements a k-fold crossvalidation on previously split data.
protected void	KFoldCrossValidation.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, KFoldCrossValidationAssessParameterSet assessPS, DataSet[] s, double[][] weights, ProgressUpdater pU) Evaluates a classifier.
protected void	RepeatedHoldOutExperiment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, RepeatedHoldOutAssessParameterSet assessPS, DataSet[] s, double[][] weights, ProgressUpdater pU) Evaluates the classifier.
protected void	RepeatedSubSamplingExperiment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, RepeatedSubSamplingAssessParameterSet assessPS, DataSet[] s, double[][] weights, ProgressUpdater pU) Evaluates the classifier.
protected void	Sampled_RepeatedHoldOutExperiment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, Sampled_RepeatedHoldOutAssessParameterSet assessPS, DataSet[] s, double[][] weights, ProgressUpdater pU)
protected abstract void	ClassifierAssessment.evaluateClassifier(NumericalPerformanceMeasureParameterSet mp, T assessPS, DataSet[] s, double[][] weights, ProgressUpdater pU) This method must be implemented in all subclasses.

Uses of ProgressUpdater in de.jstacs.utils

Classes in de.jstacs.utils that implement ProgressUpdater

class	DefaultProgressUpdater Simple class that implements ProgressUpdater and prints the percentage of iterations that is already done on the screen.
class	GUIProgressUpdater This class implements a ProgressUpdater with a GUI.
class	NullProgressUpdater This class implements a ProgressUpdater doing nothing but forces a crossvalidation that is used with an instance of this class to continue to its end.
class	TimeLimitedProgressUpdater This class is an extension of DefaultProgressUpdater.