IMeasure (JCP API)

All Known Subinterfaces:

IObservedMeasure, IObservedProbabilisticMeasure, IPriorMeasure, IPriorMultiProbabilisticMeasure

All Known Implementing Classes:

AbstractPriorMultiProbabilisticMeasure, AbstractSignificanceBasedMeasure, ExcessCriterion, FuzzinessCriterion, MultipleCriterion, MultiProbabilisticLowerBound, MultiProbabilisticUpperBound, NumberCriterion, ObservedAccuracy, ObservedExcessCriterion, ObservedFuzzinessCriterion, ObservedMultipleCriterion, ObservedOneCCriterion, ObservedProbabilityLogLoss, ObservedProbabilitySquareLoss, ObservedUnconfidenceCriterion, OneCCriterion, SumCriterion, UnconfidenceCriterion
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public interface IMeasure
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A measure of prediction "quality". See [V. Vovk, V. Fedorova, I. Nouretdinov and A. Gammerman, "Criteria of Efficiency for Conformal Prediction", COPA 2016, LNAI 9653, pp. 23-39, 2016] for the definitions used here.

Author:

anders.gidenstam(at)hb.se

- Method Summary
  
  All Methods Instance Methods Abstract Methods
  Modifier and Type Method Description
  
  java.lang.String getName()
  Get the name of this measure.

- Method Detail
  - getName
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java.lang.String getName()
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    Get the name of this measure.
    
    Returns:
    
    the name of this measure.