org.deidentifier.arx.metric.v2

Class MetricSDNMDiscernability

java.lang.Object

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

org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

org.deidentifier.arx.metric.v2.MetricSDNMDiscernability

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

MetricSDDiscernability

public class MetricSDNMDiscernability
extends AbstractMetricSingleDimensional

This class provides an implementation of the non-monotonic DM metric. TODO: Add reference

See Also:

Serialized Form

Nested Class Summary

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

Metric.AggregateFunction

Method Summary

Modifier and Type	Method and Description
ILSingleDimensional	createMaxInformationLoss() Returns an instance of the maximal value.
ILSingleDimensional	createMinInformationLoss() Returns an instance of the minimal value.
MetricConfiguration	getConfiguration() Returns the configuration of this metric.
ILScore	getScore(org.deidentifier.arx.framework.lattice.Transformation<?> node, org.deidentifier.arx.framework.check.groupify.HashGroupify groupify) Calculates the score.
boolean	isScoreFunctionSupported() Returns whether the metric provides a score function
ElementData	render(ARXConfiguration config) Renders the privacy model
java.lang.String	toString() Returns the name of metric.

Methods inherited from class org.deidentifier.arx.metric.v2.AbstractMetricSingleDimensional

createInformationLoss, createInformationLoss

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, getDescription, getGeneralizationFactor, getGeneralizationSuppressionFactor, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, getSuppressionFactor, initialize, isAbleToHandleClusteredMicroaggregation, isAbleToHandleMicroaggregation, isGSFactorSupported, isIndependent, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isPrecomputed, isWeighted, list

Methods inherited from class java.lang.Object

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

Method Detail

createMaxInformationLoss

public ILSingleDimensional createMaxInformationLoss()

Description copied from class: Metric

Returns an instance of the maximal value.

Overrides:

createMaxInformationLoss in class AbstractMetricSingleDimensional

Returns:

createMinInformationLoss

public ILSingleDimensional createMinInformationLoss()

Description copied from class: Metric

Returns an instance of the minimal value.

Overrides:

createMinInformationLoss in class AbstractMetricSingleDimensional

Returns:

getConfiguration

public MetricConfiguration getConfiguration()

Returns the configuration of this metric.

Overrides:

getConfiguration in class Metric<ILSingleDimensional>

Returns:

getScore

public ILScore getScore(org.deidentifier.arx.framework.lattice.Transformation<?> node,
                        org.deidentifier.arx.framework.check.groupify.HashGroupify groupify)

Description copied from class: Metric

Calculates the score. Note: All score functions are expected to return a score value divided by the sensitivity of the score function.

Overrides:

getScore in class Metric<ILSingleDimensional>

Returns:

isScoreFunctionSupported

public boolean isScoreFunctionSupported()

Description copied from class: Metric

Returns whether the metric provides a score function

Overrides:

isScoreFunctionSupported in class Metric<ILSingleDimensional>

Returns:

render

public ElementData render(ARXConfiguration config)

Description copied from class: Metric

Renders the privacy model

Specified by:

render in class Metric<ILSingleDimensional>

Returns:

toString

public java.lang.String toString()

Description copied from class: Metric

Returns the name of metric.

Overrides:

toString in class Metric<ILSingleDimensional>