mulan.evaluation.loss
Class HierarchicalLoss

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

All Implemented Interfaces:

Serializable, BipartitionLossFunction, MultiLabelLossFunction

public class HierarchicalLoss
extends BipartitionLossFunctionBase

Implementation of the hierarchical loss function.

Version:

2010.12.10

Author:

George Saridis, Grigorios Tsoumakas

See Also:

Serialized Form

Constructor Summary

HierarchicalLoss(MultiLabelInstances data)
Creates a new instance of this class

Method Summary

double	computeLoss(boolean[] bipartition, boolean[] truth) 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

HierarchicalLoss

public HierarchicalLoss(MultiLabelInstances data)

Creates a new instance of this class

Parameters:

data - the training data

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[] truth)

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

truth - the ground truth of the example

Returns:

the value of the loss function