Package ai.libs.jaicore.ml.ranking.loss

Class KendallsTauDyadRankingLoss

java.lang.Object

ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>,org.api4.java.ai.ml.ranking.IRanking<?>>

ai.libs.jaicore.ml.ranking.loss.ARankingPredictionPerformanceMeasure

ai.libs.jaicore.ml.ranking.loss.KendallsTauDyadRankingLoss

All Implemented Interfaces:

org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>>, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>,org.api4.java.ai.ml.ranking.IRanking<?>>, org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure

public class KendallsTauDyadRankingLoss
extends ARankingPredictionPerformanceMeasure
implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure

Computes the rank correlation measure known as Kendall's tau coefficient, i.e. (C - D) / (K * (K-1) /2), where C and D are the number of concordant (put in the right order) and discordant (put in the wrong order) pairs of dyads and K is the length of the dyad ranking. Lies between -1 (reversed order) and +1 (same order). Assumes the dyads in the ranking to be pairwise distinct.

Constructor Summary

Constructors

Constructor	Description
KendallsTauDyadRankingLoss()

Method Summary

Modifier and Type	Method	Description
double	loss(org.api4.java.ai.ml.ranking.IRanking<?> expected, org.api4.java.ai.ml.ranking.IRanking<?> predicted)

Methods inherited from class ai.libs.jaicore.ml.ranking.loss.ARankingPredictionPerformanceMeasure

loss

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

averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, score, 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, loss, score, score

Constructor Detail

KendallsTauDyadRankingLoss

public KendallsTauDyadRankingLoss()

Method Detail

loss

public double loss(org.api4.java.ai.ml.ranking.IRanking<?> expected,
                   org.api4.java.ai.ml.ranking.IRanking<?> predicted)

Specified by:

loss in class ARankingPredictionPerformanceMeasure