KendallsTauOfTopK (jaicore-ml 0.2.1 API)

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.KendallsTauOfTopK

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 KendallsTauOfTopK
extends ARankingPredictionPerformanceMeasure
implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure
```
Calculates the kendalls-tau loss only for the top k dyads. https://researcher.watson.ibm.com/researcher/files/us-fagin/topk.pdf

Constructor Summary

Constructors
Constructor Description

KendallsTauOfTopK(int k, double p)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`loss(java.util.List<? extends org.api4.java.ai.ml.ranking.IRanking<?>> expected, java.util.List<? extends org.api4.java.ai.ml.ranking.IRanking<?>> actual)`
`double`	`loss(org.api4.java.ai.ml.ranking.IRanking<?> actual, org.api4.java.ai.ml.ranking.IRanking<?> predicted)`

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, score, score

Constructor Detail

KendallsTauOfTopK

public KendallsTauOfTopK(int k,
                         double p)

Method Detail
- loss
```
public double loss(java.util.List<? extends org.api4.java.ai.ml.ranking.IRanking<?>> expected,
                   java.util.List<? extends org.api4.java.ai.ml.ranking.IRanking<?>> actual)
```
  Specified by:
  
  loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>,org.api4.java.ai.ml.ranking.IRanking<?>>
  
  Overrides:
  
  loss in class ARankingPredictionPerformanceMeasure
- loss
```
public double loss(org.api4.java.ai.ml.ranking.IRanking<?> actual,
                   org.api4.java.ai.ml.ranking.IRanking<?> predicted)
```
  Specified by:
  
  loss in class ARankingPredictionPerformanceMeasure