## Uses of Class
org.deidentifier.arx.metric.v2.ILSingleDimensional

Packages that use ILSingleDimensional
org.deidentifier.arx.metric: Package providing access to quality models
org.deidentifier.arx.metric.v2: Main package implementing quality models

### Uses of ILSingleDimensional in org.deidentifier.arx.metric

Methods in org.deidentifier.arx.metric that return types with arguments of type ILSingleDimensional
`static Metric<ILSingleDimensional>` Metric.`createAECSMetric()` Creates a new instance of the AECS metric.
`static Metric<ILSingleDimensional>` Metric.`createAECSMetric(double gsFactor)` Creates a new instance of the AECS metric.
`static Metric<ILSingleDimensional>` Metric.`createAmbiguityMetric()` Creates an instance of the ambiguity metric.
`static Metric<ILSingleDimensional>` Metric.`createClassificationMetric()` Creates an instance of the classification metric.
`static Metric<ILSingleDimensional>` Metric.`createClassificationMetric(double gsFactor)` Creates an instance of the classification metric.
`static Metric<ILSingleDimensional>` Metric.`createDiscernabilityMetric()` Creates an instance of the discernability metric.
`static Metric<ILSingleDimensional>` Metric.`createDiscernabilityMetric(boolean monotonic)` Creates an instance of the discernability metric.
`static Metric<ILSingleDimensional>` Metric.`createKLDivergenceMetric()` Creates an instance of the KL Divergence metric.

### Uses of ILSingleDimensional in org.deidentifier.arx.metric.v2

Methods in org.deidentifier.arx.metric.v2 that return ILSingleDimensional
`ILSingleDimensional` MetricSDNMPublisherPayout.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDNMKLDivergence.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDNMEntropyBasedInformationLoss.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDNMDiscernability.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDNMAmbiguity.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDClassification.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDAECS.`createMaxInformationLoss()`
`ILSingleDimensional` MetricSDNMPublisherPayout.`createMinInformationLoss()`
`ILSingleDimensional` MetricSDNMKLDivergence.`createMinInformationLoss()`
`ILSingleDimensional` MetricSDNMEntropyBasedInformationLoss.`createMinInformationLoss()`
`ILSingleDimensional` MetricSDNMDiscernability.`createMinInformationLoss()`
`ILSingleDimensional` MetricSDNMAmbiguity.`createMinInformationLoss()`
`ILSingleDimensional` MetricSDClassification.`createMinInformationLoss()`
`ILSingleDimensional` MetricSDAECS.`createMinInformationLoss()`

Methods in org.deidentifier.arx.metric.v2 that return types with arguments of type ILSingleDimensional
`static Metric<ILSingleDimensional>` __MetricV2.`createAECSMetric()` Creates a new instance of the AECS metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createAECSMetric(double gsFactor)` Creates a new instance of the AECS metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createAECSMetric(int rowCount)` Creates a new instance of the AECS metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createAmbiguityMetric()` Creates an instance of the ambiguity metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createClassificationMetric()` Creates an instance of the classification metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createClassificationMetric(double gsFactor)` Creates an instance of the classification metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createDiscernabilityMetric()` Creates an instance of the discernability metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createDiscernabilityMetric(boolean monotonic)` Creates an instance of the discernability metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createDiscernabilityMetric(boolean monotonic, double numTuples)` Creates an instance of the discernability metric.
`static Metric<ILSingleDimensional>` __MetricV2.`createKLDivergenceMetric()` Creates an instance of the KL Divergence metric.