org.jpmml.evaluator

Interface CategoricalResultFeature<K>

All Superinterfaces:

ResultFeature

All Known Subinterfaces:

HasAffinity, HasAffinityRanking, HasConfidence, HasProbability

All Known Implementing Classes:

AffinityDistribution, AggregateProbabilityDistribution, ClusterAffinityDistribution, ConfidenceDistribution, NeuronProbabilityDistribution, NodeScoreDistribution, ProbabilityDistribution, SimpleRuleScoreDistribution, VoteProbabilityDistribution

public interface CategoricalResultFeature<K>
extends ResultFeature

A common superinterface for categorical result features.

Classification is a supervised learning task. The set of all categories is defined by the range of categories 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.

See Also:

TargetField.getCategories()

Method Summary

Modifier and Type	Method and Description
java.util.Set<K>	getCategories() Gets the set of known categories.

Method Detail

getCategories

java.util.Set<K> getCategories()

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.