Package se.hb.jcp.cp.measures
Class AbstractPriorMultiProbabilisticMeasure
- java.lang.Object
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- se.hb.jcp.cp.measures.AbstractPriorMultiProbabilisticMeasure
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- All Implemented Interfaces:
IMeasure,IPriorMeasure,IPriorMultiProbabilisticMeasure
- Direct Known Subclasses:
MultiProbabilisticLowerBound,MultiProbabilisticUpperBound
public abstract class AbstractPriorMultiProbabilisticMeasure extends java.lang.Object implements IPriorMultiProbabilisticMeasure
The prior measure depends only on the prediction made. See [C. Zhou, "Conformal and Venn Predictors for Multi-probabilistic Predictions and Their Applications", Ph.D. Thesis, Department of Computer Science, Royal Holloway, University of London, 2015] for the definitions used here.- Author:
- anders.gidenstam(at)hb.se
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Constructor Summary
Constructors Constructor Description AbstractPriorMultiProbabilisticMeasure()
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description doublecompute(ConformalClassification prediction)Compute the measure for the supplied conformal prediction.abstract doublecompute(ConformalMultiProbabilisticClassification prediction)Compute the measure for the supplied conformal prediction.
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Method Detail
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compute
public abstract double compute(ConformalMultiProbabilisticClassification prediction)
Description copied from interface:IPriorMultiProbabilisticMeasureCompute the measure for the supplied conformal prediction.- Specified by:
computein interfaceIPriorMultiProbabilisticMeasure- Parameters:
prediction- a ConformalMultiProbabilisticClassification.- Returns:
- the measure for the supplied prediction.
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compute
public double compute(ConformalClassification prediction)
Description copied from interface:IPriorMeasureCompute the measure for the supplied conformal prediction.- Specified by:
computein interfaceIPriorMeasure- Parameters:
prediction- a ConformalClassification.- Returns:
- the measure for the supplied prediction.
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