Package weka.classifiers.lazy.AM.label

Interface Summary

Interface	Description
LabelerFactory	A factory for creating Labeler instances.

Class Summary

Class	Description
BitSetLabel	This Label implementations sores match and mismatch data in a BitSet, so there is no limit on the cardinality.
BitSetLabeler	A Labeler implementation that creates BitSetLabels.
IntLabel	A Label implementation that stores match/mismatch data in a single integer for compactness and speed.
IntLabeler	Analogical Modeling uses labels composed of boolean vectors in order to group instances into subcontexts and subcontexts in supracontexts.
Label	Analogical Modeling uses labels composed of boolean vectors in order to group instances into subcontexts and subcontexts into supracontexts.
Labeler	Analogical Modeling uses labels composed of boolean vectors in order to group instances into subcontexts and subcontexts in supracontexts.
Labeler.Partition	Simple class for storing index spans.
LabelerFactory.BitSetLabelerFactory
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.
LabelerFactory.IntLabelerFactory
LabelerFactory.LongLabelerFactory
LongLabel	A Label implementation that stores match/mismatch data in a single long for compactness and speed.
LongLabeler	This labeler creates labels via the LongLabel implementation.

Enum Summary

Enum	Description
MissingDataCompare