Package org.deidentifier.arx.metric

Klasse MetricWeighted<T extends InformationLoss<?>>

java.lang.Object

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

org.deidentifier.arx.metric.MetricWeighted<T>

Typparameter:

T -

Alle implementierten Schnittstellen:

Serializable

Bekannte direkte Unterklassen:

MetricNMPrecision, MetricPrecision, MetricStatic

public abstract class MetricWeighted<T extends InformationLoss<?>>
extends Metric<T>

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

Siehe auch:

• Serialisierte Form

Verschachtelte Klassen - Übersicht

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

Metric.AggregateFunction

Feldübersicht

Felder

Modifizierer und Typ	Feld	Beschreibung
protected double[]	weights	The weights.

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
MetricWeighted(boolean monotonicWithGeneralization, boolean monotonicWithSuppression, boolean independent)	Constructor.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
protected T	getLowerBoundInternal(Transformation<?> node)	Returns a lower bound for the information loss for the given node.
protected T	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, createMaxInformationLoss, createMetric, createMinInformationLoss, 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

Felddetails

weights

protected double[] weights

The weights.

Konstruktordetails

MetricWeighted

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

Constructor.

Parameter:

monotonicWithGeneralization -

monotonicWithSuppression -

independent -

Methodendetails

getLowerBoundInternal

protected T 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<T extends InformationLoss<?>>

Parameter:

node -

Gibt zurück:

getLowerBoundInternal

protected T 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<T extends InformationLoss<?>>

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<T extends InformationLoss<?>>

Parameter:

manager -

definition -

input -

hierarchies -

config -