FuzzinessCriterion (JCP API)

java.lang.Object
- se.hb.jcp.cp.measures.FuzzinessCriterion

All Implemented Interfaces:

IMeasure, IPriorMeasure
```
public class FuzzinessCriterion
extends java.lang.Object
implements IPriorMeasure
```
The F/Fuzziness criterion is a prior efficiency measure based on the difference between the sum of all p-values and the largest p-value. 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

Constructor Summary

Constructors
Constructor Description

FuzzinessCriterion()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`compute(ConformalClassification prediction)`	Computes the F/Fuzziness criterion measure for this prediction.
`java.lang.String`	`getName()`	Get the name of this measure.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - FuzzinessCriterion
```
public FuzzinessCriterion()
```
- Method Detail
  - compute
```
public double compute(ConformalClassification prediction)
```
    Computes the F/Fuzziness criterion measure for this prediction.
    
    Specified by:
    
    compute in interface IPriorMeasure
    
    Parameters:
    
    prediction - the prediction.
    
    Returns:
    
    the Fuzziness criterion measure for this prediction. Small values are preferable.
  - getName
```
public java.lang.String getName()
```
    Get the name of this measure.
    
    Specified by:
    
    getName in interface IMeasure
    
    Returns:
    
    the name of this measure.