Verwendungen von Klasse
org.deidentifier.arx.metric.v2.ILSingleDimensional

Packages, die ILSingleDimensional verwenden

Package	Beschreibung
org.deidentifier.arx.metric	Package providing access to quality models
org.deidentifier.arx.metric.v2	Main package implementing quality models

Verwendungen von ILSingleDimensional in org.deidentifier.arx.metric

Methoden in org.deidentifier.arx.metric, die Typen mit Argumenten vom Typ ILSingleDimensional zurückgeben

Modifizierer und Typ	Methode	Beschreibung
static Metric<ILSingleDimensional>	Metric.createAECSMetric()	Creates a new instance of the AECS metric.
static Metric<ILSingleDimensional>	Metric.createAECSMetric(double gsFactor)	Creates a new instance of the AECS metric.
static Metric<ILSingleDimensional>	Metric.createAmbiguityMetric()	Creates an instance of the ambiguity metric.
static Metric<ILSingleDimensional>	Metric.createClassificationMetric()	Creates an instance of the classification metric.
static Metric<ILSingleDimensional>	Metric.createClassificationMetric(double gsFactor)	Creates an instance of the classification metric.
static Metric<ILSingleDimensional>	Metric.createDiscernabilityMetric()	Creates an instance of the discernability metric.
static Metric<ILSingleDimensional>	Metric.createDiscernabilityMetric(boolean monotonic)	Creates an instance of the discernability metric.
static Metric<ILSingleDimensional>	Metric.createKLDivergenceMetric()	Creates an instance of the KL Divergence metric.

Verwendungen von ILSingleDimensional in org.deidentifier.arx.metric.v2

Methoden in org.deidentifier.arx.metric.v2, die ILSingleDimensional zurückgeben

Modifizierer und Typ	Methode	Beschreibung
ILSingleDimensional	MetricSDAECS.createMaxInformationLoss()
ILSingleDimensional	MetricSDClassification.createMaxInformationLoss()
ILSingleDimensional	MetricSDNMAmbiguity.createMaxInformationLoss()
ILSingleDimensional	MetricSDNMDiscernability.createMaxInformationLoss()
ILSingleDimensional	MetricSDNMEntropyBasedInformationLoss.createMaxInformationLoss()
ILSingleDimensional	MetricSDNMKLDivergence.createMaxInformationLoss()
ILSingleDimensional	MetricSDNMPublisherPayout.createMaxInformationLoss()
ILSingleDimensional	MetricSDAECS.createMinInformationLoss()
ILSingleDimensional	MetricSDClassification.createMinInformationLoss()
ILSingleDimensional	MetricSDNMAmbiguity.createMinInformationLoss()
ILSingleDimensional	MetricSDNMDiscernability.createMinInformationLoss()
ILSingleDimensional	MetricSDNMEntropyBasedInformationLoss.createMinInformationLoss()
ILSingleDimensional	MetricSDNMKLDivergence.createMinInformationLoss()
ILSingleDimensional	MetricSDNMPublisherPayout.createMinInformationLoss()
protected ILSingleDimensional	MetricSDAECS.getLowerBoundInternal(Transformation<?> node)
protected ILSingleDimensional	MetricSDAECS.getLowerBoundInternal(Transformation<?> node, HashGroupify groupify)
protected ILSingleDimensional	MetricSDClassification.getLowerBoundInternal(Transformation<?> node)
protected ILSingleDimensional	MetricSDClassification.getLowerBoundInternal(Transformation<?> node, HashGroupify groupify)
protected ILSingleDimensional	MetricSDNMAmbiguity.getLowerBoundInternal(Transformation<?> node)
protected ILSingleDimensional	MetricSDNMAmbiguity.getLowerBoundInternal(Transformation<?> node, HashGroupify g)
protected ILSingleDimensional	MetricSDNMDiscernability.getLowerBoundInternal(Transformation<?> node)
protected ILSingleDimensional	MetricSDNMDiscernability.getLowerBoundInternal(Transformation<?> node, HashGroupify groupify)
protected ILSingleDimensional	MetricSDNMEntropyBasedInformationLoss.getLowerBoundInternal(Transformation<?> transformation)
protected ILSingleDimensional	MetricSDNMEntropyBasedInformationLoss.getLowerBoundInternal(Transformation<?> transformation, HashGroupify groupify)
protected ILSingleDimensional	MetricSDNMKLDivergence.getLowerBoundInternal(Transformation<?> node)
protected ILSingleDimensional	MetricSDNMKLDivergence.getLowerBoundInternal(Transformation<?> node, HashGroupify g)
protected ILSingleDimensional	MetricSDNMPublisherPayout.getLowerBoundInternal(Transformation<?> transformation)
protected ILSingleDimensional	MetricSDNMPublisherPayout.getLowerBoundInternal(Transformation<?> transformation, HashGroupify groupify)

Methoden in org.deidentifier.arx.metric.v2, die Typen mit Argumenten vom Typ ILSingleDimensional zurückgeben

Modifizierer und Typ	Methode	Beschreibung
static Metric<ILSingleDimensional>	__MetricV2.createAECSMetric()	Creates a new instance of the AECS metric.
static Metric<ILSingleDimensional>	__MetricV2.createAECSMetric(double gsFactor)	Creates a new instance of the AECS metric.
static Metric<ILSingleDimensional>	__MetricV2.createAECSMetric(int rowCount)	Creates a new instance of the AECS metric.
static Metric<ILSingleDimensional>	__MetricV2.createAmbiguityMetric()	Creates an instance of the ambiguity metric.
static Metric<ILSingleDimensional>	__MetricV2.createClassificationMetric()	Creates an instance of the classification metric.
static Metric<ILSingleDimensional>	__MetricV2.createClassificationMetric(double gsFactor)	Creates an instance of the classification metric.
static Metric<ILSingleDimensional>	__MetricV2.createDiscernabilityMetric()	Creates an instance of the discernability metric.
static Metric<ILSingleDimensional>	__MetricV2.createDiscernabilityMetric(boolean monotonic)	Creates an instance of the discernability metric.
static Metric<ILSingleDimensional>	__MetricV2.createDiscernabilityMetric(boolean monotonic, double numTuples)	Creates an instance of the discernability metric.
static Metric<ILSingleDimensional>	__MetricV2.createKLDivergenceMetric()	Creates an instance of the KL Divergence metric.
protected InformationLossWithBound<ILSingleDimensional>	MetricSDNMEntropyBasedInformationLoss.getInformationLossInternal(Transformation<?> transformation, HashGroupifyEntry entry)
protected InformationLossWithBound<ILSingleDimensional>	MetricSDNMPublisherPayout.getInformationLossInternal(Transformation<?> transformation, HashGroupifyEntry entry)