mulan.evaluation.loss
Class IsError

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

All Implemented Interfaces:

Serializable, MultiLabelLossFunction, RankingLossFunction

public class IsError
extends RankingLossFunctionBase

Implementation of the IsError loss function, which is simply the indicator of whether the induced ranking is perfect or not. Speaking in terms of error set, the loss is zero if the cardinality of the error-set is zero and one if the cardinality of the error set is greather than zero.

Version:

2010.11.10

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Constructor Summary

IsError()

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

IsError

public IsError()

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