mulan.evaluation.loss
Interface MultiLabelLossFunction

All Known Subinterfaces:

BipartitionLossFunction, RankingLossFunction

All Known Implementing Classes:

BipartitionLossFunctionBase, ErrorSetSize, HammingLoss, HierarchicalLoss, IsError, OneError, OneMinusAveragePrecision, RankingLoss, RankingLossFunctionBase

public interface MultiLabelLossFunction

Interfance for loss functions

Version:

2010.11.10

Author:

Grigorios Tsoumakas

Method Summary

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

Method Detail

getName

String getName()

Returns the name of the loss function

Returns:

the name of the loss function

computeLoss

double computeLoss(MultiLabelOutput prediction,
                   boolean[] groundTruth)

Computes the loss function

Parameters:

prediction - the prediction of the learner for an example

groundTruth - the ground truth of the example

Returns:

the value of the loss function