HasProbability (JPMML evaluator 1.7.3 API)

All Superinterfaces:

CategoricalResultFeature<Object>, ResultFeature

All Known Implementing Classes:

AggregateProbabilityDistribution, NeuronProbabilityDistribution, NodeScoreDistribution, ProbabilityDistribution, VoteProbabilityDistribution
```
public interface HasProbability
extends CategoricalResultFeature<Object>
```
A marker interface for classification results that provide a probability distribution.

Probability represents a degree of certainty that the sample belongs to a particular category. Probabilities are required to sum to 1 across all categories. Ideally, the probability of the predicted category should approach 1.0, and the probabilities of all other categories should approach 0.0.

See Also:

ResultFeature.PROBABILITY

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`Double`	`getProbability(Object category)`	Gets the probability of the specified category.
`Report`	`getProbabilityReport(Object category)`

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

- Method Detail
  - getProbability
```
Double getProbability(Object category)
```
    Gets the probability of the specified category.
    
    Returns:
    
    A probability in the range from 0.0 to 1.0. The probability of an unknown category is 0.0.
    
    See Also:
    
    CategoricalResultFeature.getCategories()
  - getProbabilityReport
```
Report getProbabilityReport(Object category)
```
    See Also:
    
    CategoricalResultFeature.getCategories()