All Classes

Class	Description
AMResults	The results of running AM, containing the analogical effects of the individual training instances as well as the relevant supracontexts and overall class likelihoods.
AMResults.Judgement
AMResults.PointerCountingStrategry
AMUtils	This class holds constants and methods used in the AM classifier.
AMUtils.CsvBuilder	Simplify CSV printing by allowing specifying rows as Maps and converting automatically to lists of column values in the AMUtils.CsvBuilder.build(boolean) method.
AMUtils.CsvDoc
AMVersion
AnalogicalModeling	Implements the Analogical Modeling algorithm, invented by Royal Skousen.
AnalogicalModelingOutput	This class implements a classification output scheme specific to the Analogical Modeling classifier.
AnalogicalSetFormatter
BasicLattice	This class holds the supracontextual lattice and does the work of filling itself during classification.
BasicSupra	Basic implementation of Supracontext with no extra features.
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.
CanonicalizingSet<T>	A set implementation that can be used to retrieve canonical versions of objects; this is not possible with Set because of the lack of a get method.
ClassifiedSupra	This supracontext is called "classified" because it keeps track of its outcome (or "class") at all times by inspecting the outcomes of the subcontexts added to it.
Concept<T extends Supracontext>	This class is a decorator which wraps a Supracontext and adds the functionality of a node (concept) used in the ImprovedAddIntent algorithm (see SparseLattice.
DistributedLattice	This lass manages several smaller, heterogeneous lattices.
DistributionFormatter
Enum2TagUtils	In Weka, configuration with a specific set of possible values is implemented using Tag.
Enum2TagUtils.TagInfo	Enums whose values are to be used as tags should implement this.
GangEffect	Exemplars that seem less similar to the test item than those that seem more similar can still have a magnified effect if there are many of them.
GangEffectsFormatter
HeterogeneousLattice	Same as a normal lattice, except no supracontext is deemed heterogeneous and hence everything is kept.
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.
JohnsenJohanssonLattice	The approximation algorithm from "Efficient Modeling of Analogy", Johnsen and Johansson, DOI 10.1007/978-3-540-30586-6_77.
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	A factory for creating Labeler instances.
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
Lattice	Given a list of subcontexts, a lattice creates a collection of supracontexts, which are then used to create analogical sets and classify data.
LatticeFactory	Factory for creating Lattices.
LatticeFactory.CardinalityBasedLatticeFactory	Chooses the lattice implementation based on the cardinality of the instances in the subcontext list.
LinkedLatticeNode<T extends Supracontext>	This class is a decorator which wraps a Supracontext and adds the functionality of a linked node used in certain lattice-filling algorithms.
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.
MissingDataCompare
SparseLattice	Warning: this class is currently experimental, slow, and not correct.
Subcontext	Represents a subcontext, containing a list of Instances which belong to it, along with their shared Label and common outcome.
SubcontextList	This class creates and manages a list of subcontexts from a set of previously classified exemplars and an exemplar to be classified.
Supracontext	A supracontext contains a set of Subcontexts which have certain commonalities in their Labels.