public class MetricSDNMPublisherPayout extends AbstractMetricSingleDimensional
Metric.AggregateFunction
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.
|
ARXCostBenefitConfiguration |
getCostBenefitConfiguration()
Returns the cost/benefit configuration
|
java.lang.String |
getName()
Returns the name of metric.
|
boolean |
isAbleToHandleMicroaggregation()
Returns whether this metric handles microaggregation
|
boolean |
isGSFactorSupported()
Returns whether a generalization/suppression factor is supported
|
boolean |
isJournalistAttackerModel()
Returns whether the journalist attacker model is being assumed.
|
boolean |
isProsecutorAttackerModel()
Returns whether the prosecutor attacker model is being assumed.
|
ElementData |
render(ARXConfiguration config)
Renders the privacy model
|
java.lang.String |
toString()
Returns the name of metric.
|
createInformationLoss, createInformationLoss
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, getScore, getSuppressionFactor, initialize, isAbleToHandleClusteredMicroaggregation, isIndependent, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isPrecomputed, isScoreFunctionSupported, isWeighted, list
public ILSingleDimensional createMaxInformationLoss()
Metric
createMaxInformationLoss
in class AbstractMetricSingleDimensional
public ILSingleDimensional createMinInformationLoss()
Metric
createMinInformationLoss
in class AbstractMetricSingleDimensional
public MetricConfiguration getConfiguration()
getConfiguration
in class Metric<ILSingleDimensional>
public ARXCostBenefitConfiguration getCostBenefitConfiguration()
public java.lang.String getName()
Metric
getName
in class Metric<ILSingleDimensional>
public boolean isAbleToHandleMicroaggregation()
Metric
isAbleToHandleMicroaggregation
in class Metric<ILSingleDimensional>
public boolean isGSFactorSupported()
Metric
isGSFactorSupported
in class Metric<ILSingleDimensional>
public boolean isJournalistAttackerModel()
public boolean isProsecutorAttackerModel()
public ElementData render(ARXConfiguration config)
Metric
render
in class Metric<ILSingleDimensional>
public java.lang.String toString()
Metric
toString
in class Metric<ILSingleDimensional>