Package ai.libs.jaicore.ml.classification.loss.dataset

Class APredictionPerformanceMeasure<E,P>

java.lang.Object

ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<E,P>

All Implemented Interfaces:

org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,P>

Direct Known Subclasses:

AMultiLabelClassificationMeasure, ARankingPredictionPerformanceMeasure, ARegressionMeasure, ASingleLabelClassificationPerformanceMeasure, AThresholdBasedMultiLabelClassificationMeasure

public abstract class APredictionPerformanceMeasure<E,P>
extends java.lang.Object
implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,P>

Constructor Summary

Constructors

Constructor	Description
APredictionPerformanceMeasure()

Method Summary

Modifier and Type	Method	Description
protected double	averageInstanceWiseLoss(java.util.List<? extends E> expected, java.util.List<? extends P> predicted, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<P,E> subMeasure)
protected double	averageInstanceWiseScore(java.util.List<? extends E> expected, java.util.List<? extends P> predicted, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<P,E> subMeasure)
protected void	checkConsistency(java.util.List<? extends E> expected, java.util.List<? extends P> predicted)
double	loss(java.util.List<? extends E> expected, java.util.List<? extends P> predicted)	If this performance measure is originally a score function its score is transformed into a loss by multiplying the score with -1.
double	loss(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends E,? extends P> pairTable)
double	score(java.util.List<? extends E> expected, java.util.List<? extends P> predicted)	If this performance measure is originally a loss function its loss is transformed into a score by multiplying the loss with -1.
double	score(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends E,? extends P> pairTable)

Methods inherited from class java.lang.Object

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

Constructor Detail

APredictionPerformanceMeasure

public APredictionPerformanceMeasure()

Method Detail

checkConsistency

protected void checkConsistency(java.util.List<? extends E> expected,
                                java.util.List<? extends P> predicted)

loss

public double loss(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends E,? extends P> pairTable)

Specified by:

loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,P>

loss

public double loss(java.util.List<? extends E> expected,
                   java.util.List<? extends P> predicted)

If this performance measure is originally a score function its score is transformed into a loss by multiplying the score with -1. (loss=-score).

Specified by:

loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,P>

score

public double score(java.util.List<? extends E> expected,
                    java.util.List<? extends P> predicted)

If this performance measure is originally a loss function its loss is transformed into a score by multiplying the loss with -1. (score=-loss).

Specified by:

score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,P>

score

public double score(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends E,? extends P> pairTable)

Specified by:

score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,P>

averageInstanceWiseLoss

protected double averageInstanceWiseLoss(java.util.List<? extends E> expected,
                                         java.util.List<? extends P> predicted,
                                         org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<P,E> subMeasure)

averageInstanceWiseScore

protected double averageInstanceWiseScore(java.util.List<? extends E> expected,
                                          java.util.List<? extends P> predicted,
                                          org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<P,E> subMeasure)