mulan.evaluation.loss
Interface RankingLossFunction

All Superinterfaces:

MultiLabelLossFunction

All Known Implementing Classes:

ErrorSetSize, IsError, OneError, OneMinusAveragePrecision, RankingLoss, RankingLossFunctionBase

public interface RankingLossFunction
extends MultiLabelLossFunction

Interfance for ranking loss functions

Version:

2010.11.10

Author:

Grigorios Tsoumakas

Method Summary

double

computeLoss(int[] ranking, boolean[] groundTruth) Computes the ranking loss function

Methods inherited from interface mulan.evaluation.loss.MultiLabelLossFunction

computeLoss, getName

Method Detail

computeLoss

double computeLoss(int[] ranking,
                   boolean[] groundTruth)

Computes the ranking loss function

Parameters:

ranking - the ranking of the learner for an example

groundTruth - the ground truth of the example

Returns:

the value of the loss function