mulan.evaluation.measure
Class LabelBasedAveragePrecision

java.lang.Object
  mulan.evaluation.measure.MeasureBase
      mulan.evaluation.measure.ConfidenceMeasureBase
          mulan.evaluation.measure.LabelBasedAveragePrecision

All Implemented Interfaces:

Serializable, Measure

Direct Known Subclasses:

MeanAverageInterpolatedPrecision, MeanAveragePrecision

public abstract class LabelBasedAveragePrecision
extends ConfidenceMeasureBase

Version:

2010.12.04

Author:

Eleftherios Spyromitros-Xioufis

See Also:

Serialized Form

Nested Class Summary

protected class

LabelBasedAveragePrecision.ConfidenceActual Class that stores a confidence and a ground truth for one label/example

Field Summary

protected List<LabelBasedAveragePrecision.ConfidenceActual>[]	confact collection that stores all predictions and ground truths
protected int	numOfLabels the number of labels

Constructor Summary

LabelBasedAveragePrecision(int numOfLabels)
Creates a new instance of this class

Method Summary

void	reset() Resets the cumulated measure value, so the process of computation can be started from beginning (e.g. for a new series of outputs from learning task).
protected void	updateConfidence(double[] confidences, boolean[] truth) Updates the measure for a new example

Methods inherited from class mulan.evaluation.measure.ConfidenceMeasureBase

updateInternal

Methods inherited from class mulan.evaluation.measure.MeasureBase

makeCopy, toString, update

Methods inherited from class java.lang.Object

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

Methods inherited from interface mulan.evaluation.measure.Measure

getIdealValue, getName, getValue

Field Detail

numOfLabels

protected int numOfLabels

the number of labels

confact

protected List<LabelBasedAveragePrecision.ConfidenceActual>[] confact

collection that stores all predictions and ground truths

Constructor Detail

LabelBasedAveragePrecision

public LabelBasedAveragePrecision(int numOfLabels)

Creates a new instance of this class

Parameters:

numOfLabels - the number of labels

Method Detail

updateConfidence

protected void updateConfidence(double[] confidences,
                                boolean[] truth)

Description copied from class: ConfidenceMeasureBase

Updates the measure for a new example

Specified by:

updateConfidence in class ConfidenceMeasureBase

Parameters:

confidences - the confidences output by the learner for the example

truth - the ground truth of the example

reset

public void reset()

Description copied from interface: Measure

Resets the cumulated measure value, so the process of computation can be started from beginning (e.g. for a new series of outputs from learning task).