mulan.evaluation.measure
Class GeometricMeanAverageInterpolatedPrecision

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

All Implemented Interfaces:

Serializable, MacroAverageMeasure, Measure

public class GeometricMeanAverageInterpolatedPrecision
extends MeanAverageInterpolatedPrecision

Implementation of GMAiP (Geometric Mean Average Interpolated Precision)

Version:

2012.05.24

Author:

Fragkiskos Chatziasimidis, John Panagos, 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

GeometricMeanAverageInterpolatedPrecision(int numOfLabels, int recallLevels)
Creates a new object

Method Summary

String	getName() Gets the name of a measure.
double	getValue() Gets the value of a measure.

Methods inherited from class mulan.evaluation.measure.MeanAverageInterpolatedPrecision

getIdealValue, 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

GeometricMeanAverageInterpolatedPrecision

public GeometricMeanAverageInterpolatedPrecision(int numOfLabels,
                                                 int recallLevels)

Creates a new object

Parameters:

numOfLabels - the number of labels

recallLevels - the number of recall levels

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 MeanAverageInterpolatedPrecision

Returns:

the name of a measure.

getValue

public double getValue()

Description copied from interface: Measure

Gets the value of a measure. The measure is incrementally cumulated for learner's prediction by each Measure.update(MultiLabelOutput, boolean[]) call. The value returned by the method, returns sum of all update calls divided by the number of calls (average of all measures for all predictions).

Specified by:

getValue in interface Measure

Overrides:

getValue in class MeanAverageInterpolatedPrecision

Returns:

the average measure value computed so far