IPriorMultiProbabilisticMeasure (JCP API)

All Superinterfaces:

IMeasure, IPriorMeasure

All Known Implementing Classes:

AbstractPriorMultiProbabilisticMeasure, MultiProbabilisticLowerBound, MultiProbabilisticUpperBound
```
public interface IPriorMultiProbabilisticMeasure
extends IPriorMeasure
```
A 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

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`compute(ConformalMultiProbabilisticClassification prediction)`	Compute the measure for the supplied conformal prediction.

Methods inherited from interface se.hb.jcp.cp.measures.IMeasure
getName

Methods inherited from interface se.hb.jcp.cp.measures.IPriorMeasure
compute

- Method Detail
  - compute
```
double compute(ConformalMultiProbabilisticClassification prediction)
```
    Compute the measure for the supplied conformal prediction.
    
    Parameters:
    
    prediction - a ConformalMultiProbabilisticClassification.
    
    Returns:
    
    the measure for the supplied prediction.