LabelerFactory (Weka_AnalogicalModeling 0.13.0 API)

All Known Implementing Classes:

LabelerFactory.BitSetLabelerFactory, LabelerFactory.CardinalityBasedLabelerFactory, LabelerFactory.IntLabelerFactory, LabelerFactory.LongLabelerFactory
```
public interface LabelerFactory
```
A factory for creating Labeler instances.

Nested Class Summary

Nested Classes
Modifier and Type	Interface	Description
`static class`	`LabelerFactory.BitSetLabelerFactory`
`static class`	`LabelerFactory.CardinalityBasedLabelerFactory`	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.
`static class`	`LabelerFactory.IntLabelerFactory`
`static class`	`LabelerFactory.LongLabelerFactory`

Method Summary

All Methods Instance Methods Abstract Methods Default 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.
`default int`	`getMaximumCardinality()`

- Method Detail
  - createLabeler
```
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.
    
    Parameters:
    
    testInstance - The instance being classified
    
    mdc - The strategy for comparing missing data
    
    ignoreUnknowns - True if missing data should be ignored, false otherwise
    
    Returns:
    
    A new Labeler
  - getMaximumCardinality
```
default int getMaximumCardinality()
```
    Returns:
    
    The maximum cardinality for labels created by this labeler, or -1 if there is no maximum.