Package se.hb.jcp.cp.measures

Class MultiProbabilisticUpperBound

java.lang.Object

se.hb.jcp.cp.measures.AbstractPriorMultiProbabilisticMeasure

se.hb.jcp.cp.measures.MultiProbabilisticUpperBound

All Implemented Interfaces:

IMeasure, IPriorMeasure, IPriorMultiProbabilisticMeasure

public class MultiProbabilisticUpperBound
extends AbstractPriorMultiProbabilisticMeasure

This prior measure returns the predicted upper bound probability. 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

Constructor Summary

Constructors

Constructor	Description
MultiProbabilisticUpperBound()

Method Summary

Modifier and Type	Method	Description
double	compute(ConformalMultiProbabilisticClassification prediction)	Compute the measure for the supplied conformal prediction.
java.lang.String	getName()	Get the name of this measure.

Methods inherited from class se.hb.jcp.cp.measures.AbstractPriorMultiProbabilisticMeasure

compute

Methods inherited from class java.lang.Object

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

Constructor Detail

MultiProbabilisticUpperBound

public MultiProbabilisticUpperBound()

Method Detail

compute

public double compute(ConformalMultiProbabilisticClassification prediction)

Description copied from interface: IPriorMultiProbabilisticMeasure

Compute the measure for the supplied conformal prediction.

Specified by:

compute in interface IPriorMultiProbabilisticMeasure

Specified by:

compute in class AbstractPriorMultiProbabilisticMeasure

Parameters:

prediction - a ConformalMultiProbabilisticClassification.

Returns:

the measure for the supplied prediction.

getName

public java.lang.String getName()

Description copied from interface: IMeasure

Get the name of this measure.

Returns:

the name of this measure.