Package ai.libs.jaicore.ml.dyadranking.loss

Class DyadRankingMLLossFunctionWrapper

java.lang.Object

ai.libs.jaicore.ml.dyadranking.loss.DyadRankingMLLossFunctionWrapper

All Implemented Interfaces:

DyadRankingLossFunction

public class DyadRankingMLLossFunctionWrapper
extends java.lang.Object
implements DyadRankingLossFunction

A wrapper for dyad ranking loss that enables already implemented multi label classification loss functions to be used in this context.

Constructor Summary

Constructors

Constructor	Description
DyadRankingMLLossFunctionWrapper(ADecomposableDoubleMeasure<double[]> measure)	Constructs a new loss function wrapper that uses the given measure to compute the loss between a correct and predicted dyad ranking.

Method Summary

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

DyadRankingMLLossFunctionWrapper

public DyadRankingMLLossFunctionWrapper(ADecomposableDoubleMeasure<double[]> measure)

Constructs a new loss function wrapper that uses the given measure to compute the loss between a correct and predicted dyad ranking.

Parameters:

measure - the measure to use

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