org.deidentifier.arx.metric

Class MetricDefault

java.lang.Object

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

org.deidentifier.arx.metric.MetricDefault

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

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.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.deidentifier.arx.metric.Metric

Metric.AggregateFunction

Constructor Summary

Constructors

Constructor and Description
MetricDefault(boolean monotonicWithGeneralization, boolean monotonicWithSuppression, boolean independent)

Method Summary

Modifier and Type	Method and Description
InformationLoss<?>	createMaxInformationLoss() Returns an instance of the maximal value.
InformationLoss<?>	createMinInformationLoss() Returns an instance of the minimal value.

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

Methods inherited from class java.lang.Object

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

Constructor Detail

MetricDefault

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

Parameters:

monotonicWithGeneralization -

monotonicWithSuppression -

independent -

Method Detail

createMaxInformationLoss

public InformationLoss<?> createMaxInformationLoss()

Description copied from class: Metric

Returns an instance of the maximal value.

Specified by:

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

Returns:

createMinInformationLoss

public InformationLoss<?> createMinInformationLoss()

Description copied from class: Metric

Returns an instance of the minimal value.

Specified by:

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

Returns: