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

Class RankLoss

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.RankLoss

All Implemented Interfaces:

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

public class RankLoss
extends ADecomposableDoubleMeasure<double[]>

Constructor Summary

Constructors

Constructor and Description
RankLoss()

Method Summary

Modifier and Type	Method and Description
java.lang.Double	calculateAvgMeasure(java.util.List<double[]> actual, java.util.List<double[]> expected) Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the mean, as this is the most frequently used aggregate function.
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.ADecomposableMeasure

calculateMeasure, calculateMeasure

Methods inherited from class java.lang.Object

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

Constructor Detail

RankLoss

public RankLoss()

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.

calculateAvgMeasure

public java.lang.Double calculateAvgMeasure(java.util.List<double[]> actual,
                                            java.util.List<double[]> expected)

Description copied from interface: IMeasure

Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the mean, as this is the most frequently used aggregate function.

Specified by:

calculateAvgMeasure in interface IMeasure<double[],java.lang.Double>

Overrides:

calculateAvgMeasure in class ADecomposableDoubleMeasure<double[]>

Parameters:

actual - The list of actually available values.

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

Returns:

The mean of return values as output by the instance-wise measure.