public class MetricMDNUEntropyPotentiallyPrecomputed extends AbstractMetricMultiDimensionalPotentiallyPrecomputed
Metric.AggregateFunction
Modifier | Constructor and Description |
---|---|
protected |
MetricMDNUEntropyPotentiallyPrecomputed(double threshold)
Creates a new instance.
|
protected |
MetricMDNUEntropyPotentiallyPrecomputed(double threshold,
double gsFactor,
Metric.AggregateFunction function)
Creates a new instance.
|
Modifier and Type | Method and Description |
---|---|
MetricConfiguration |
getConfiguration()
Returns the configuration of this metric.
|
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, getDefaultMetric, getGeneralizationFactor, getGeneralizationSuppressionFactor, getInformationLossInternal, getInformationLossInternal, getLowerBoundInternal, getLowerBoundInternal, getPrecomputedMetric, getSuppressionFactor, getThreshold, initializeInternal, isIndependent, isPrecomputed
createInformationLoss, createInformationLossWithBound, createInformationLossWithoutBound, getAggregateFunctions, getDimensions, getDimensionsAggregated, getDimensionsGeneralized, getError, getMicroaggregationFunctions, getMicroaggregationStartIndex, initialize, setMax, setMin
createAECSMetric, createAECSMetric, createAmbiguityMetric, 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, getDescription, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, getNumRecords, getSubset, initialize, isAbleToHandleMicroaggregation, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isWeighted, list, round
protected MetricMDNUEntropyPotentiallyPrecomputed(double threshold)
threshold
- protected MetricMDNUEntropyPotentiallyPrecomputed(double threshold, double gsFactor, Metric.AggregateFunction function)
threshold
- gsFactor
- function
- public MetricConfiguration getConfiguration()
getConfiguration
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>