mulan.evaluation.loss
Class OneError

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

All Implemented Interfaces:

Serializable, MultiLabelLossFunction, RankingLossFunction

public class OneError
extends RankingLossFunctionBase

Implementation of the one-error loss function. For a given example and prediction, one-error is 1 if the top ranked label is a relevant and 0 otherwise.

Version:

2010.11.10

Author:

Jozef Vilcek, Grigorios Tsoumakas

See Also:

Serialized Form

Constructor Summary

OneError()

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

OneError

public OneError()

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