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

Konstruktorübersicht

Konstruktoren

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

Methodenübersicht

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, getGeneralizationFactor, getGeneralizationSuppressionFactor, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, getScore, getSuppressionFactor, initialize, isAbleToHandleClusteredMicroaggregation, isAbleToHandleMicroaggregation, isGSFactorSupported, isIndependent, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isPrecomputed, isScoreFunctionSupported, isWeighted, list, render, toString

Von Klasse geerbte Methoden java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Konstruktordetails

MetricWeighted

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

Constructor.

Parameter:

monotonicWithGeneralization -

monotonicWithSuppression -

independent -