HasAffinity (JPMML evaluator 1.7.0 API)

All Superinterfaces:

CategoricalResultFeature<java.lang.String>, ResultFeature

All Known Subinterfaces:

HasAffinityRanking

All Known Implementing Classes:

AffinityDistribution, ClusterAffinityDistribution
```
public interface HasAffinity
extends CategoricalResultFeature<java.lang.String>
```
A marker interface for classification or clustering results that provide an affinity distribution.

Affinity represents a degree of attraction between the sample and a particular category.
PMML deals with two kinds of affinities:
- Distance between two points in an n-dimensional feature space. Smaller distance values indicate more optimal fit.
- Similarity between two feature vectors. Greater similarity values indicate more optimal fit.
See Also:

ResultFeature.AFFINITY

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`java.lang.Double`	`getAffinity(java.lang.String category)`	Gets the affinity towards the specified category.
`Report`	`getAffinityReport(java.lang.String category)`

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

- Method Detail
  - getAffinity
```
java.lang.Double getAffinity(java.lang.String category)
```
    Gets the affinity towards the specified category.
    
    Returns:
    
    An affinity in the range from 0.0 to positive infinity. The affinity of an unknown category is the least optimal value in the range of valid values (ie. Double.POSITIVE_INFINITY for distance measures and 0.0 for similarity measures).
    
    See Also:
    
    CategoricalResultFeature.getCategories()
  - getAffinityReport
```
Report getAffinityReport(java.lang.String category)
```
    See Also:
    
    CategoricalResultFeature.getCategories()