ConformalMultiProbabilisticClassification (JCP API)

java.lang.Object
- se.hb.jcp.cp.ConformalClassification
- - se.hb.jcp.cp.ConformalMultiProbabilisticClassification

```
public class ConformalMultiProbabilisticClassification
extends ConformalClassification
```
Represents a multi-probabilistic prediction made by a conformal classifier with bivariate isotonic regression. 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
`ConformalMultiProbabilisticClassification(IConformalClassifier source, cern.colt.matrix.DoubleMatrix1D pValues, double lower, double upper)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`getPointPredictionLowerBoundProbability()`	Returns the lower end of the probabilistic interval for the class/label point prediction.
`double`	`getPointPredictionUpperBoundProbability()`	Returns the upper end of the probabilistic interval for the class/label point prediction.

Methods inherited from class se.hb.jcp.cp.ConformalClassification
getClassPointPrediction, getClassSet, getLabelPointPrediction, getLabelSet, getPointPredictionConfidence, getPointPredictionCredibility, getPValues, getSource

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

- Constructor Detail
  - ConformalMultiProbabilisticClassification
```
public ConformalMultiProbabilisticClassification(IConformalClassifier source,
                                                 cern.colt.matrix.DoubleMatrix1D pValues,
                                                 double lower,
                                                 double upper)
```
- Method Detail
  - getPointPredictionLowerBoundProbability
```
public double getPointPredictionLowerBoundProbability()
```
    Returns the lower end of the probabilistic interval for the class/label point prediction.
    
    Returns:
    
    the lower end of the probabilistic interval for the class/label point prediction.
  - getPointPredictionUpperBoundProbability
```
public double getPointPredictionUpperBoundProbability()
```
    Returns the upper end of the probabilistic interval for the class/label point prediction.
    
    Returns:
    
    the upper end of the probabilistic interval for the class/label point prediction.