ai.libs.jaicore.ml.core.evaluation.measure.multilabel

Class ExactMatchLoss

java.lang.Object

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure<I,java.lang.Double>

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure<double[]>

ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ADecomposableMultilabelMeasure

ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ExactMatchLoss

All Implemented Interfaces:

IMeasure<double[],java.lang.Double>, IMultilabelMeasure

public class ExactMatchLoss
extends ADecomposableMultilabelMeasure

Constructor Summary

Constructors

Constructor and Description
ExactMatchLoss()

Method Summary

Modifier and Type	Method and Description
java.lang.Double	calculateMeasure(double[] actual, double[] expected) Computes the measure for a measured input actual and the expected outcome expected.

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure

calculateAvgMeasure

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure

calculateMeasure, calculateMeasure

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface ai.libs.jaicore.ml.core.evaluation.measure.IMeasure

calculateAvgMeasure, calculateMeasure, calculateMeasure

Constructor Detail

ExactMatchLoss

public ExactMatchLoss()

Method Detail

calculateMeasure

public java.lang.Double calculateMeasure(double[] actual,
                                         double[] expected)

Description copied from interface: IMeasure

Computes the measure for a measured input actual and the expected outcome expected.

Parameters:

actual - The actually available values.

expected - The expected values to compare the actual values with.

Returns:

The return value of the measure.