Package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive

Class OWARelevanceLoss

java.lang.Object

ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>

ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AMultiLabelClassificationMeasure

ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.OWARelevanceLoss

All Implemented Interfaces:

org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiLabelClassificationPredictionPerformanceMeasure, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>

public class OWARelevanceLoss
extends AMultiLabelClassificationMeasure

Constructor Summary

Constructors

Constructor	Description
OWARelevanceLoss(IOWAValueFunction valueFunction)

Method Summary

Modifier and Type	Method	Description
double	loss(java.util.List<? extends int[]> expected, java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> predicted)	If this performance measure is originally a score function its score is transformed into a loss by multiplying the score with -1.
double	score(java.util.List<? extends int[]> expected, java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> predicted)	If this performance measure is originally a loss function its loss is transformed into a score by multiplying the loss with -1.

Methods inherited from class ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AMultiLabelClassificationMeasure

getThreshold, getThresholdedPredictionAsSet, listToMatrix, listToRelevanceMatrix, listToThresholdedRelevanceMatrix

Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure

averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, score

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure

loss, score

Constructor Detail

OWARelevanceLoss

public OWARelevanceLoss(IOWAValueFunction valueFunction)

Method Detail

loss

public double loss(java.util.List<? extends int[]> expected,
                   java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> predicted)

Description copied from class: APredictionPerformanceMeasure

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<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>

Overrides:

loss in class APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>

score

public double score(java.util.List<? extends int[]> expected,
                    java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> predicted)

Description copied from class: APredictionPerformanceMeasure

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<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>

Overrides:

score in class APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>