KendallsTauDyadRankingLoss (jaicore-ml 0.1.6 API)

java.lang.Object
- ai.libs.jaicore.ml.dyadranking.loss.KendallsTauDyadRankingLoss

All Implemented Interfaces:

DyadRankingLossFunction
```
public class KendallsTauDyadRankingLoss
extends java.lang.Object
implements DyadRankingLossFunction
```
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

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`loss(IDyadRankingInstance actual, IDyadRankingInstance predicted)`	Computes the loss between the actual dyad ordering and predicted dyad ordering, represented by dyad ranking instances.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - KendallsTauDyadRankingLoss
```
public KendallsTauDyadRankingLoss()
```
- Method Detail
  - loss
```
public double loss(IDyadRankingInstance actual,
                   IDyadRankingInstance predicted)
```
    Description copied from interface: DyadRankingLossFunction
    
    Computes the loss between the actual dyad ordering and predicted dyad ordering, represented by dyad ranking instances.
    
    Specified by:
    
    loss in interface DyadRankingLossFunction
    
    Parameters:
    
    actual - the correct ordering
    
    predicted - the predicted ordering
    
    Returns:
    
    the loss between the predicted and correct ordering, depending on the implementation