LabelerFactory.CardinalityBasedLabelerFactory (Weka_AnalogicalModeling 0.13.0 API)

java.lang.Object
- weka.classifiers.lazy.AM.label.LabelerFactory.CardinalityBasedLabelerFactory

All Implemented Interfaces:

LabelerFactory

Enclosing interface:

LabelerFactory
```
public static class LabelerFactory.CardinalityBasedLabelerFactory
extends java.lang.Object
implements LabelerFactory
```
The cardinality of the instances restricts what kinds of labels can be used, and the Labeler which produces the smallest, fastest labels will be returned.

Nested Class Summary
- Nested classes/interfaces inherited from interface weka.classifiers.lazy.AM.label.LabelerFactory
  LabelerFactory.BitSetLabelerFactory, LabelerFactory.CardinalityBasedLabelerFactory, LabelerFactory.IntLabelerFactory, LabelerFactory.LongLabelerFactory

Constructor Summary

Constructors
Constructor Description

CardinalityBasedLabelerFactory()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Labeler`	`createLabeler(weka.core.Instance testInstance, boolean ignoreUnknowns, MissingDataCompare mdc)`	Create and return a new `Labeler` instance for labeling data instances via comparison with a test instance.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface weka.classifiers.lazy.AM.label.LabelerFactory
getMaximumCardinality

- Constructor Detail
  - CardinalityBasedLabelerFactory
```
public CardinalityBasedLabelerFactory()
```
- Method Detail
  - createLabeler
```
public Labeler createLabeler(weka.core.Instance testInstance,
                             boolean ignoreUnknowns,
                             MissingDataCompare mdc)
```
    Description copied from interface: LabelerFactory
    
    Create and return a new Labeler instance for labeling data instances via comparison with a test instance.
    
    Specified by:
    
    createLabeler in interface LabelerFactory
    
    Parameters:
    
    testInstance - The instance being classified
    
    ignoreUnknowns - True if missing data should be ignored, false otherwise
    
    mdc - The strategy for comparing missing data
    
    Returns:
    
    A new Labeler