public class MetricMDNMLossPotentiallyPrecomputed extends AbstractMetricMultiDimensionalPotentiallyPrecomputed
Metric.AggregateFunction
Modifier and Type | Method and Description |
---|---|
MetricConfiguration |
getConfiguration()
Returns the configuration of this metric.
|
double |
getGeneralizationFactor()
Returns the factor used weight generalized values.
|
double |
getGeneralizationSuppressionFactor()
Returns the factor weighting generalization and suppression.
|
double |
getSuppressionFactor()
Returns the factor used to weight suppressed values.
|
boolean |
isAbleToHandleMicroaggregation()
Returns whether this metric handles microaggregation
|
boolean |
isGSFactorSupported()
Returns whether a generalization/suppression factor is supported
|
ElementData |
render(ARXConfiguration config)
Renders the privacy model
|
java.lang.String |
toString()
Returns the name of metric.
|
createMaxInformationLoss, createMinInformationLoss, getAggregateFunction, getScore, isIndependent, isPrecomputed, isScoreFunctionSupported
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, getDescription, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, initialize, isAbleToHandleClusteredMicroaggregation, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isWeighted, list
public MetricConfiguration getConfiguration()
getConfiguration
in class Metric<AbstractILMultiDimensional>
public double getGeneralizationFactor()
Metric
getGeneralizationFactor
in class AbstractMetricMultiDimensionalPotentiallyPrecomputed
public double getGeneralizationSuppressionFactor()
Metric
getGeneralizationSuppressionFactor
in class AbstractMetricMultiDimensionalPotentiallyPrecomputed
public double getSuppressionFactor()
Metric
getSuppressionFactor
in class AbstractMetricMultiDimensionalPotentiallyPrecomputed
public boolean isAbleToHandleMicroaggregation()
Metric
isAbleToHandleMicroaggregation
in class Metric<AbstractILMultiDimensional>
public boolean isGSFactorSupported()
Metric
isGSFactorSupported
in class Metric<AbstractILMultiDimensional>
public ElementData render(ARXConfiguration config)
Metric
render
in class Metric<AbstractILMultiDimensional>
public java.lang.String toString()
Metric
toString
in class Metric<AbstractILMultiDimensional>