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Packages that use ClassifierAssessmentAssessParameterSet | |
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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. |
Uses of ClassifierAssessmentAssessParameterSet in de.jstacs.classifiers.assessment |
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Classes in de.jstacs.classifiers.assessment with type parameters of type ClassifierAssessmentAssessParameterSet | |
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class |
ClassifierAssessment<T extends ClassifierAssessmentAssessParameterSet>
Class defining an assessment of classifiers. |
Subclasses of ClassifierAssessmentAssessParameterSet in de.jstacs.classifiers.assessment | |
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class |
KFoldCrossValidationAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ... |
class |
RepeatedHoldOutAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ... |
class |
RepeatedSubSamplingAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ... |
class |
Sampled_RepeatedHoldOutAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet that
must be used to call the method assess( ... |
Methods in de.jstacs.classifiers.assessment with parameters of type ClassifierAssessmentAssessParameterSet | |
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ListResult |
KFoldCrossValidation.assessWithPredefinedSplits(NumericalPerformanceMeasureParameterSet mp,
ClassifierAssessmentAssessParameterSet caaps,
ProgressUpdater pU,
DataSet[][] splitData,
double[][][] splitWeights)
This method implements a k-fold crossvalidation on previously split data. |
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