Package org.deidentifier.arx.metric

Klasse MetricDefault

java.lang.Object

org.deidentifier.arx.metric.Metric<org.deidentifier.arx.metric.InformationLossDefault>

org.deidentifier.arx.metric.MetricDefault

Alle implementierten Schnittstellen:

Serializable

Bekannte direkte Unterklassen:

MetricAECS, MetricDM, MetricDMStar, MetricEntropy, MetricHeight

public abstract class MetricDefault
extends Metric<org.deidentifier.arx.metric.InformationLossDefault>

This class provides an abstract skeleton for the implementation of metrics.

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

Von Klasse geerbte verschachtelte Klassen/Schnittstellen org.deidentifier.arx.metric.Metric

Metric.AggregateFunction

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
MetricDefault(boolean monotonicWithGeneralization, boolean monotonicWithSuppression, boolean independent)

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
InformationLoss<?>	createMaxInformationLoss()	Returns an instance of the maximal value.
InformationLoss<?>	createMinInformationLoss()	Returns an instance of the minimal value.
protected org.deidentifier.arx.metric.InformationLossDefault	getLowerBoundInternal(Transformation<?> node)	Returns a lower bound for the information loss for the given node.
protected org.deidentifier.arx.metric.InformationLossDefault	getLowerBoundInternal(Transformation<?> node, HashGroupify groupify)	Returns a lower bound for the information loss for the given node.
protected void	initializeInternal(DataManager manager, DataDefinition definition, Data input, GeneralizationHierarchy[] hierarchies, ARXConfiguration config)	Implement this to initialize the metric.

Von Klasse geerbte Methoden org.deidentifier.arx.metric.Metric

createAECSMetric, createAECSMetric, createAmbiguityMetric, createClassificationMetric, createClassificationMetric, createDiscernabilityMetric, createDiscernabilityMetric, createEntropyBasedInformationLossMetric, createEntropyBasedInformationLossMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createHeightMetric, createHeightMetric, createInstanceOfHighestScore, createInstanceOfLowestScore, createKLDivergenceMetric, createLossMetric, createLossMetric, createLossMetric, createLossMetric, createMetric, createNormalizedEntropyMetric, createNormalizedEntropyMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedNormalizedEntropyMetric, createPrecomputedNormalizedEntropyMetric, createPublisherPayoutMetric, createPublisherPayoutMetric, createStaticMetric, createStaticMetric, getAggregateFunction, getConfiguration, getDescription, getDescription, getGeneralizationFactor, getGeneralizationSuppressionFactor, getInformationLoss, getInformationLoss, getInformationLossInternal, getInformationLossInternal, getLowerBound, getLowerBound, getName, getNumRecords, getScore, getSubset, getSuppressionFactor, initialize, isAbleToHandleClusteredMicroaggregation, isAbleToHandleMicroaggregation, isGSFactorSupported, isIndependent, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isPrecomputed, isScoreFunctionSupported, isWeighted, list, render, round, toString

Von Klasse geerbte Methoden java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Konstruktordetails

MetricDefault

public MetricDefault(boolean monotonicWithGeneralization,
 boolean monotonicWithSuppression,
 boolean independent)

Parameter:

monotonicWithGeneralization -

monotonicWithSuppression -

independent -

Methodendetails

createMaxInformationLoss

public InformationLoss<?> createMaxInformationLoss()

Beschreibung aus Klasse kopiert: Metric

Returns an instance of the maximal value.

Angegeben von:

createMaxInformationLoss in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Gibt zurück:

createMinInformationLoss

public InformationLoss<?> createMinInformationLoss()

Beschreibung aus Klasse kopiert: Metric

Returns an instance of the minimal value.

Angegeben von:

createMinInformationLoss in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Gibt zurück:

getLowerBoundInternal

protected org.deidentifier.arx.metric.InformationLossDefault getLowerBoundInternal(Transformation<?> node)

Beschreibung aus Klasse kopiert: Metric

Returns a lower bound for the information loss for the given node. This can be used to expose the results of monotonic shares of a metric, which can significantly speed-up the anonymization process. If no such metric exists, simply return null.

Angegeben von:

getLowerBoundInternal in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

node -

Gibt zurück:

getLowerBoundInternal

protected org.deidentifier.arx.metric.InformationLossDefault getLowerBoundInternal(Transformation<?> node,
 HashGroupify groupify)

Beschreibung aus Klasse kopiert: Metric

Returns a lower bound for the information loss for the given node. This can be used to expose the results of monotonic shares of a metric, which can significantly speed-up the anonymization process. If no such metric exists, simply return null.

This variant of the method allows computing a monotonic share based on a groupified data representation. IMPORTANT NOTE: The groups may not have been classified correctly when the method is called, i.e., HashGroupifyEntry.isNotOutlier may not be set correctly!

Angegeben von:

getLowerBoundInternal in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

node -

groupify -

Gibt zurück:

initializeInternal

protected void initializeInternal(DataManager manager,
 DataDefinition definition,
 Data input,
 GeneralizationHierarchy[] hierarchies,
 ARXConfiguration config)

Beschreibung aus Klasse kopiert: Metric

Implement this to initialize the metric.

Angegeben von:

initializeInternal in Klasse Metric<org.deidentifier.arx.metric.InformationLossDefault>

Parameter:

manager -

definition -

input -

hierarchies -

config -