public class MetricMDNUNMNormalizedEntropyPrecomputed extends MetricMDNUNMEntropyPrecomputed
Metric.AggregateFunction
Constructor and Description |
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MetricMDNUNMNormalizedEntropyPrecomputed(Metric.AggregateFunction function)
Creates a new instance.
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Modifier and Type | Method and Description |
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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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boolean |
isPrecomputed()
Returns whether the metric is precomputed
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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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isGSFactorSupported
getScore, isScoreFunctionSupported
createMaxInformationLoss, createMinInformationLoss, getAggregateFunction
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, getGeneralizationFactor, getGeneralizationSuppressionFactor, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getSuppressionFactor, initialize, isAbleToHandleClusteredMicroaggregation, isAbleToHandleMicroaggregation, isIndependent, isMonotonic, isMonotonicWithGeneralization, isMonotonicWithSuppression, isMultiDimensional, isWeighted, list
public MetricMDNUNMNormalizedEntropyPrecomputed(Metric.AggregateFunction function)
function
- public MetricConfiguration getConfiguration()
getConfiguration
in class MetricMDNUNMEntropyPrecomputed
public java.lang.String getName()
Metric
getName
in class Metric<AbstractILMultiDimensional>
public boolean isPrecomputed()
Metric
isPrecomputed
in class MetricMDNUNMEntropyPrecomputed
public ElementData render(ARXConfiguration config)
Metric
render
in class MetricMDNUNMEntropyPrecomputed
public java.lang.String toString()
Metric
toString
in class MetricMDNUNMEntropyPrecomputed