ObservedOneCCriterion (JCP API)

java.lang.Object
- se.hb.jcp.cp.measures.AbstractSignificanceBasedMeasure
- - se.hb.jcp.cp.measures.ObservedOneCCriterion

All Implemented Interfaces:

IMeasure, IObservedMeasure
```
public class ObservedOneCCriterion
extends AbstractSignificanceBasedMeasure
implements IObservedMeasure
```
The Observed OneC criterion is the fraction of predictions that only have the true label in their label set.

Author:

anders.gidenstam(at)hb.se

Constructor Summary

Constructors
Constructor Description

ObservedOneCCriterion(double significanceLevel)
Creates an Observed OneC measure.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`compute(ConformalClassification prediction, double trueLabel)`	Computes the Observed OneC criterion measure for this prediction and true label.

Methods inherited from class se.hb.jcp.cp.measures.AbstractSignificanceBasedMeasure
getName

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

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

- Constructor Detail
  - ObservedOneCCriterion
```
public ObservedOneCCriterion(double significanceLevel)
```
    Creates an Observed OneC measure.
    
    Parameters:
    
    significanceLevel - the significance level used for the label sets.
- Method Detail
  - compute
```
public double compute(ConformalClassification prediction,
                      double trueLabel)
```
    Computes the Observed OneC criterion measure for this prediction and true label.
    
    Specified by:
    
    compute in interface IObservedMeasure
    
    Parameters:
    
    prediction - the prediction.
    
    trueLabel - the true label of the instance.
    
    Returns:
    
    the Observed OneC measure for this prediction. Large values are preferable.