mulan.evaluation.measure
Class GeometricMeanAveragePrecision

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

All Implemented Interfaces:

Serializable, MacroAverageMeasure, Measure

public class GeometricMeanAveragePrecision
extends MeanAveragePrecision

Implementation of GMAP (Geometric Mean Average Precision)

Version:

2010.12.10

Author:

Eleftherios Spyromitros-Xioufis

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class mulan.evaluation.measure.LabelBasedAveragePrecision

LabelBasedAveragePrecision.ConfidenceActual

Field Summary

Fields inherited from class mulan.evaluation.measure.LabelBasedAveragePrecision

confact, numOfLabels

Constructor Summary

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

Method Summary

double	getIdealValue() Gets an 'ideal' value of a measure.
String	getName() Gets the name of a measure.
double	getValue() Calculates map using multiple calls to MeanAveragePrecision.getValue(int).

Methods inherited from class mulan.evaluation.measure.MeanAveragePrecision

getValue

Methods inherited from class mulan.evaluation.measure.LabelBasedAveragePrecision

reset, updateConfidence

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

Constructor Detail

GeometricMeanAveragePrecision

public GeometricMeanAveragePrecision(int numOfLabels)

Creates a new instance of this class

Parameters:

numOfLabels - the number of labels

Method Detail

getName

public String getName()

Description copied from interface: Measure

Gets the name of a measure.

Specified by:

getName in interface Measure

Overrides:

getName in class MeanAveragePrecision

Returns:

the name of a measure.

getValue

public double getValue()

Description copied from class: MeanAveragePrecision

Calculates map using multiple calls to MeanAveragePrecision.getValue(int). If a label has 0 relevant examples, then it is omitted from the average.

Specified by:

getValue in interface Measure

Overrides:

getValue in class MeanAveragePrecision

Returns:

the average measure value computed so far

getIdealValue

public double getIdealValue()

Description copied from interface: Measure

Gets an 'ideal' value of a measure. The 'ideal' means, that the value represents the best achievable performance of a learner for an prediction of a multi-label task and associated true labels.

Specified by:

getIdealValue in interface Measure

Overrides:

getIdealValue in class MeanAveragePrecision

Returns:

the ideal value