public class MetricMDNUEntropyPrecomputed extends AbstractMetricMultiDimensional
Metric.AggregateFunction
Constructor and Description |
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MetricMDNUEntropyPrecomputed(boolean monotonic,
boolean independent,
Metric.AggregateFunction function)
Precomputed.
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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 |
toString()
Returns the name of metric.
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createMaxInformationLoss, createMinInformationLoss, getAggregateFunction
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, getDescription, getInformationLoss, getInformationLoss, getLowerBound, getLowerBound, getName, initialize, isIndependent, isMonotonic, isMultiDimensional, isWeighted, list
public MetricMDNUEntropyPrecomputed(boolean monotonic, boolean independent, Metric.AggregateFunction function)
monotonic
- independent
- function
- public MetricConfiguration getConfiguration()
getConfiguration
in class Metric<AbstractILMultiDimensional>
public java.lang.String toString()
Metric
toString
in class Metric<AbstractILMultiDimensional>