mulan.evaluation.loss
Class ErrorSetSize

java.lang.Object
  mulan.evaluation.loss.RankingLossFunctionBase
      mulan.evaluation.loss.ErrorSetSize

All Implemented Interfaces:

Serializable, MultiLabelLossFunction, RankingLossFunction

Direct Known Subclasses:

RankingLoss

public class ErrorSetSize
extends RankingLossFunctionBase

Implementation of the ErrorSetSize loss function, which computes the size of the error set. The error set is composed of all possible label pairs, where one is relevant and the other is not, and which satisfy the condition that the relevant label is ranked lower than the irrelevant one.

Version:

2010.11.10

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Constructor Summary

ErrorSetSize()

Method Summary

double	computeLoss(int[] ranking, boolean[] groundTruth) Computes the ranking loss function
String	getName() Returns the name of the loss function

Methods inherited from class mulan.evaluation.loss.RankingLossFunctionBase

computeLoss

Methods inherited from class java.lang.Object

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

Constructor Detail

ErrorSetSize

public ErrorSetSize()

Method Detail

getName

public String getName()

Description copied from interface: MultiLabelLossFunction

Returns the name of the loss function

Returns:

the name of the loss function

computeLoss

public double computeLoss(int[] ranking,
                          boolean[] groundTruth)

Description copied from interface: RankingLossFunction

Computes the ranking loss function

Specified by:

computeLoss in interface RankingLossFunction

Specified by:

computeLoss in class RankingLossFunctionBase

Parameters:

ranking - the ranking of the learner for an example

groundTruth - the ground truth of the example

Returns:

the value of the loss function