public abstract class MetricDefault extends Metric<org.deidentifier.arx.metric.InformationLossDefault>
Metric.AggregateFunction
Constructor and Description |
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MetricDefault(boolean monotonic,
boolean independent) |
Modifier and Type | Method and Description |
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InformationLoss<?> |
createMaxInformationLoss()
Returns an instance of the maximal value.
|
InformationLoss<?> |
createMinInformationLoss()
Returns an instance of the minimal value.
|
createAECSMetric, createDiscernabilityMetric, createDiscernabilityMetric, createEntropyMetric, createEntropyMetric, createEntropyMetric, createHeightMetric, createHeightMetric, createLossMetric, createLossMetric, createLossMetric, createLossMetric, createMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecisionMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedEntropyMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createPrecomputedLossMetric, createStaticMetric, createStaticMetric, getAggregateFunction, getConfiguration, getDescription, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, initialize, isIndependent, isMonotonic, isMultiDimensional, isWeighted, list, toString
public MetricDefault(boolean monotonic, boolean independent)
monotonic
- independent
- 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>