HasConfidence (JPMML evaluator 1.7.3 API)

All Superinterfaces:

CategoricalResultFeature<Object>, ResultFeature

All Known Implementing Classes:

ConfidenceDistribution, NodeScoreDistribution, SimpleRuleScoreDistribution
```
public interface HasConfidence
extends CategoricalResultFeature<Object>
```
A marker interface for classification results that provide a confidence distribution.

Confidences are similar to probabilities, but more relaxed. Most notably, the confidences are not required to sum to 1 across all categories, whereas the probabilities are.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`Double`	`getConfidence(Object category)`	Gets the confidence of the specified category.
`Report`	`getConfidenceReport(Object category)`

Methods inherited from interface org.jpmml.evaluator.CategoricalResultFeature
getCategories

- Method Detail
  - getConfidence
```
Double getConfidence(Object category)
```
    Gets the confidence of the specified category.
    
    Returns:
    
    A confidence that normally lies in the range from 0.0 to 1.0. The confidence of an unknown category is 0.0.
    
    See Also:
    
    CategoricalResultFeature.getCategories()
  - getConfidenceReport
```
Report getConfidenceReport(Object category)
```
    See Also:
    
    CategoricalResultFeature.getCategories()