Methods in de.jstacs.classifiers.assessment with parameters of type NumericalPerformanceMeasureParameterSet |
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. |
protected void |
ClassifierAssessment.test(NumericalPerformanceMeasureParameterSet mp,
boolean exception,
DataSet... testS)
Uses the given test samples to call the evaluate( ... )
-methods of the local AbstractClassifier s. |