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

Class ADecomposableDoubleMeasure<I>

java.lang.Object

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

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure<I>

Type Parameters:

I - The type of the inputs to compute the measure.

All Implemented Interfaces:

IMeasure<I,java.lang.Double>

Direct Known Subclasses:

ADecomposableMultilabelMeasure, ASquaredErrorLoss, HammingLoss, JaccardScore, LossScoreTransformer, RankLoss, ZeroOneLoss

public abstract class ADecomposableDoubleMeasure<I>
extends ADecomposableMeasure<I,java.lang.Double>

A measure that is decomposable by instances and aggregated by averaging.

Constructor Summary

Constructors

Constructor and Description
ADecomposableDoubleMeasure()

Method Summary

Modifier and Type	Method and Description
java.lang.Double	calculateAvgMeasure(java.util.List<I> actual, java.util.List<I> 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.

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

calculateMeasure

Constructor Detail

ADecomposableDoubleMeasure

public ADecomposableDoubleMeasure()

Method Detail

calculateAvgMeasure

public java.lang.Double calculateAvgMeasure(java.util.List<I> actual,
                                            java.util.List<I> 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.

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.