public class MetricSDNMKLDivergence extends AbstractMetricSingleDimensional
Metric.AggregateFunction
Constructor and Description |
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MetricSDNMKLDivergence()
Default constructor.
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Modifier and Type | Method and Description |
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ILSingleDimensional |
createMaxInformationLoss()
Returns an instance of the maximal value.
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ILSingleDimensional |
createMinInformationLoss()
Returns an instance of the minimal value.
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MetricConfiguration |
getConfiguration()
Returns the configuration of this metric.
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java.lang.String |
getName()
Returns the name of metric.
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ElementData |
render(ARXConfiguration config)
Renders the privacy model
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java.lang.String |
toString()
Returns the name of metric.
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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, isAbleToHandleMicroaggregation, isGSFactorSupported, 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 java.lang.String getName()
Metric
getName
in class Metric<ILSingleDimensional>
public ElementData render(ARXConfiguration config)
Metric
render
in class Metric<ILSingleDimensional>
public java.lang.String toString()
Metric
toString
in class Metric<ILSingleDimensional>