public class MetricNMPrecision extends MetricWeighted<org.deidentifier.arx.metric.InformationLossDefault>
Metric.AggregateFunction
Modifier and Type | Method and Description |
---|---|
InformationLoss<?> |
createMaxInformationLoss()
Returns an instance of the maximal value.
|
InformationLoss<?> |
createMinInformationLoss()
Returns an instance of the minimal value.
|
ElementData |
render(ARXConfiguration config)
Renders the privacy model
|
java.lang.String |
toString()
Returns the name of 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
public InformationLoss<?> createMaxInformationLoss()
Metric
createMaxInformationLoss
in class Metric<org.deidentifier.arx.metric.InformationLossDefault>
public InformationLoss<?> createMinInformationLoss()
Metric
createMinInformationLoss
in class Metric<org.deidentifier.arx.metric.InformationLossDefault>
public ElementData render(ARXConfiguration config)
Metric