org.jpmml.evaluator

Interface CategoricalResultFeature

All Superinterfaces:

ResultFeature

All Known Subinterfaces:

HasAffinity, HasAffinityRanking, HasConfidence, HasProbability

All Known Implementing Classes:

AffinityDistribution, ClusterAffinityDistribution, EntityProbabilityDistribution, NodeScoreDistribution, ProbabilityDistribution, SimpleRuleScoreDistribution, VoteDistribution

public interface CategoricalResultFeature
extends ResultFeature

A common superinterface for categorical result features.

Classification is a supervised learning task. The set of all categories is defined by the valid values of the target field.

Clustering is an unsupervised learning task. The set of all categories is defined by the identifiers of reference entities. For clustering models this includes all clusters. For k-nearest neighbor models this includes k nearest training instances.

Method Summary

Methods

Modifier and Type	Method and Description
java.util.Set<java.lang.String>	getCategoryValues() Gets the set of known categories.

Method Detail

getCategoryValues

java.util.Set<java.lang.String> getCategoryValues()

Gets the set of known categories.

The set of known categories either equals the set of all categories, or is a proper subset of it.