mulan.evaluation.loss
Class HammingLoss

java.lang.Object
  mulan.evaluation.loss.BipartitionLossFunctionBase
      mulan.evaluation.loss.HammingLoss

All Implemented Interfaces:

Serializable, BipartitionLossFunction, MultiLabelLossFunction

public class HammingLoss
extends BipartitionLossFunctionBase

Implementation of the hamming loss function. It is basically the symmetric difference between the predicted and ground truth labels

Version:

2010.12.01

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Constructor Summary

HammingLoss()

Method Summary

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

Methods inherited from class mulan.evaluation.loss.BipartitionLossFunctionBase

computeLoss

Methods inherited from class java.lang.Object

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

Constructor Detail

HammingLoss

public HammingLoss()

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(boolean[] bipartition,
                          boolean[] groundTruth)

Description copied from interface: BipartitionLossFunction

Computes the bipartition loss function

Specified by:

computeLoss in interface BipartitionLossFunction

Specified by:

computeLoss in class BipartitionLossFunctionBase

Parameters:

bipartition - the biprtition of the learner for an example

groundTruth - the ground truth of the example

Returns:

the value of the loss function