Index (Weka_AnalogicalModeling 0.13.0 API)

A B C D E F G H I J L M N P Q R S T U V W
All Classes All Packages

A

add(T) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
add(Subcontext) - Method in class weka.classifiers.lazy.AM.data.BasicSupra
add(Subcontext) - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
add(Subcontext) - Method in class weka.classifiers.lazy.AM.data.Concept
add(Subcontext) - Method in interface weka.classifiers.lazy.AM.data.Supracontext: Add a subcontext to this supracontext.
add(Subcontext) - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
add(Instance) - Method in class weka.classifiers.lazy.AM.data.Subcontext: Adds an exemplar e to the subcontext and sets the outcome accordingly.
addAll(Collection<? extends T>) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
addEntry(Map<String, String>) - Method in class weka.classifiers.lazy.AM.AMUtils.CsvBuilder
addParent(Concept<T>) - Method in class weka.classifiers.lazy.AM.data.Concept
addToExtent(Subcontext) - Method in class weka.classifiers.lazy.AM.data.Concept: Add the given subcontext to the extent of this concept.
allMatching() - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
allMatching() - Method in class weka.classifiers.lazy.AM.label.IntLabel
allMatching() - Method in class weka.classifiers.lazy.AM.label.Label
allMatching() - Method in class weka.classifiers.lazy.AM.label.LongLabel
AMResults - Class in weka.classifiers.lazy.AM.data: 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(Lattice, SubcontextList, Instance, boolean, Labeler) - Constructor for class weka.classifiers.lazy.AM.data.AMResults
AMResults.Judgement - Enum in weka.classifiers.lazy.AM.data
AMResults.PointerCountingStrategry - Enum in weka.classifiers.lazy.AM.data
AMUtils - Class in weka.classifiers.lazy.AM: This class holds constants and methods used in the AM classifier.
AMUtils() - Constructor for class weka.classifiers.lazy.AM.AMUtils
AMUtils.CsvBuilder - Class in weka.classifiers.lazy.AM: 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 - Class in weka.classifiers.lazy.AM
AMVersion - Class in weka.classifiers.lazy.AM
AMVersion() - Constructor for class weka.classifiers.lazy.AM.AMVersion
AnalogicalModeling - Class in weka.classifiers.lazy: Implements the Analogical Modeling algorithm, invented by Royal Skousen.
AnalogicalModeling() - Constructor for class weka.classifiers.lazy.AnalogicalModeling
AnalogicalModelingOutput - Class in weka.classifiers.evaluation.output.prediction: This class implements a classification output scheme specific to the Analogical Modeling classifier.
AnalogicalModelingOutput() - Constructor for class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
AnalogicalSetFormatter - Class in weka.classifiers.evaluation.output.prediction
AnalogicalSetFormatter(int, Format, String) - Constructor for class weka.classifiers.evaluation.output.prediction.AnalogicalSetFormatter
analogicalSetTipText() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Returns the tip text for this property.

B

BasicLattice - Class in weka.classifiers.lazy.AM.lattice: This class holds the supracontextual lattice and does the work of filling itself during classification.
BasicSupra - Class in weka.classifiers.lazy.AM.data: Basic implementation of Supracontext with no extra features.
BasicSupra() - Constructor for class weka.classifiers.lazy.AM.data.BasicSupra: Create a new supracontext with an empty data set.
BasicSupra(Set<Subcontext>, BigInteger) - Constructor for class weka.classifiers.lazy.AM.data.BasicSupra: Creates a new supracontext with the given parameters as the contents.
BitSetLabel - Class in weka.classifiers.lazy.AM.label: This Label implementations sores match and mismatch data in a BitSet, so there is no limit on the cardinality.
BitSetLabel(BitSet, int) - Constructor for class weka.classifiers.lazy.AM.label.BitSetLabel: Create a new label by storing match/mismatch information in the given bitset.
BitSetLabeler - Class in weka.classifiers.lazy.AM.label: A Labeler implementation that creates BitSetLabels.
BitSetLabeler(Instance, boolean, MissingDataCompare) - Constructor for class weka.classifiers.lazy.AM.label.BitSetLabeler
BitSetLabelerFactory() - Constructor for class weka.classifiers.lazy.AM.label.LabelerFactory.BitSetLabelerFactory
build(boolean) - Method in class weka.classifiers.lazy.AM.AMUtils.CsvBuilder
buildClassifier(Instances) - Method in class weka.classifiers.lazy.AnalogicalModeling: This is used to build the classifier; it specifies the capabilities of the classifier and loads in exemplars to be used for prediction.

C

CanonicalizingSet<T> - Class in weka.classifiers.lazy.AM.lattice: 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.
CanonicalizingSet() - Constructor for class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
cardinality - Variable in class weka.classifiers.lazy.AnalogicalModeling: The number of attributes.
CardinalityBasedLabelerFactory() - Constructor for class weka.classifiers.lazy.AM.label.LabelerFactory.CardinalityBasedLabelerFactory
CardinalityBasedLatticeFactory(int, int) - Constructor for class weka.classifiers.lazy.AM.lattice.LatticeFactory.CardinalityBasedLatticeFactory
CardinalityBasedLatticeFactory(int, int, Supplier<Random>) - Constructor for class weka.classifiers.lazy.AM.lattice.LatticeFactory.CardinalityBasedLatticeFactory
ClassifiedSupra - Class in weka.classifiers.lazy.AM.data: 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.
ClassifiedSupra() - Constructor for class weka.classifiers.lazy.AM.data.ClassifiedSupra: Creates a supracontext with no data.
ClassifiedSupra(Set<Subcontext>, BigInteger) - Constructor for class weka.classifiers.lazy.AM.data.ClassifiedSupra: Creates a new supracontext with the given parameters as the contents.
clear() - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
Concept<T extends Supracontext> - Class in weka.classifiers.lazy.AM.data: This class is a decorator which wraps a Supracontext and adds the functionality of a node (concept) used in the ImprovedAddIntent algorithm (see SparseLattice.
Concept(Label, T) - Constructor for class weka.classifiers.lazy.AM.data.Concept
contains(Object) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
containsAll(Collection<?>) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
copy() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
copy() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
copy() - Method in class weka.classifiers.lazy.AM.data.Concept
copy() - Method in interface weka.classifiers.lazy.AM.data.Supracontext: Return an exact, deep copy of the supracontext.
copy() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
CORRECT - weka.classifiers.lazy.AM.data.AMResults.Judgement: Only the correct class was predicted
createLabeler(Instance, boolean, MissingDataCompare) - Method in class weka.classifiers.lazy.AM.label.LabelerFactory.BitSetLabelerFactory
createLabeler(Instance, boolean, MissingDataCompare) - Method in class weka.classifiers.lazy.AM.label.LabelerFactory.CardinalityBasedLabelerFactory
createLabeler(Instance, boolean, MissingDataCompare) - Method in interface weka.classifiers.lazy.AM.label.LabelerFactory: Create and return a new Labeler instance for labeling data instances via comparison with a test instance.
createLabeler(Instance, boolean, MissingDataCompare) - Method in class weka.classifiers.lazy.AM.label.LabelerFactory.IntLabelerFactory
createLabeler(Instance, boolean, MissingDataCompare) - Method in class weka.classifiers.lazy.AM.label.LabelerFactory.LongLabelerFactory
createLattice() - Method in class weka.classifiers.lazy.AM.lattice.LatticeFactory.CardinalityBasedLatticeFactory
createLattice() - Method in interface weka.classifiers.lazy.AM.lattice.LatticeFactory
CsvBuilder() - Constructor for class weka.classifiers.lazy.AM.AMUtils.CsvBuilder
CsvDoc(List<String>, List<List<String>>) - Constructor for class weka.classifiers.lazy.AM.AMUtils.CsvDoc

D

decrementCount() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode: Decreases the count by one; if this reaches 0, then this Supracontext should be discarded (by the caller).
descendantIterator() - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
descendantIterator() - Method in class weka.classifiers.lazy.AM.label.IntLabel
descendantIterator() - Method in class weka.classifiers.lazy.AM.label.Label: The "descendants" of a label are the set of labels with the same "mismatch" entries, but with one or more of the "match" entries changed into a "mismatch" entry.
descendantIterator() - Method in class weka.classifiers.lazy.AM.label.LongLabel
DistributedLattice - Class in weka.classifiers.lazy.AM.lattice: This lass manages several smaller, heterogeneous lattices.
DistributedLattice() - Constructor for class weka.classifiers.lazy.AM.lattice.DistributedLattice
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.AnalogicalModeling
DistributionFormatter - Class in weka.classifiers.evaluation.output.prediction
DistributionFormatter(int, Format, String) - Constructor for class weka.classifiers.evaluation.output.prediction.DistributionFormatter
doPrintClassification(double[], Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
doPrintClassification(Classifier, Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Make sure to call setHeader first, or this will throw a NullPointerException.
doPrintFooter() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
doPrintHeader() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput

E

emptySet() - Static method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
entries - Variable in class weka.classifiers.lazy.AM.AMUtils.CsvDoc
Enum2TagUtils - Class in weka.classifiers.lazy.AM: In Weka, configuration with a specific set of possible values is implemented using Tag.
Enum2TagUtils() - Constructor for class weka.classifiers.lazy.AM.Enum2TagUtils
Enum2TagUtils.TagInfo - Interface in weka.classifiers.lazy.AM: Enums whose values are to be used as tags should implement this.
equals(Object) - Method in class weka.classifiers.lazy.AM.data.BasicSupra
equals(Object) - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
equals(Object) - Method in class weka.classifiers.lazy.AM.data.Concept: This equals method differs from the specification in Supracontext.equals(Object); it compares the concept intent (label), instead of the extent (contained subcontexts).
equals(Object) - Method in class weka.classifiers.lazy.AM.data.Subcontext: Two Subcontexts are considered equal if they have the same label and contain the same instances.
equals(Object) - Method in class weka.classifiers.lazy.AM.data.SubcontextList: Returns equals if both lists contain the same data in the same subcontexts.
equals(Object) - Method in interface weka.classifiers.lazy.AM.data.Supracontext: Two Supracontexts are equal if they are of the same class and contain the same subcontexts.
equals(Object) - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
equals(Object) - Method in class weka.classifiers.lazy.AM.label.IntLabel
equals(Object) - Method in class weka.classifiers.lazy.AM.label.LongLabel
equals(Object) - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode

F

fill(SubcontextList) - Method in class weka.classifiers.lazy.AM.lattice.BasicLattice
fill(SubcontextList) - Method in class weka.classifiers.lazy.AM.lattice.DistributedLattice: Fill the lattice with given subcontexts.
fill(SubcontextList) - Method in class weka.classifiers.lazy.AM.lattice.HeterogeneousLattice
fill(SubcontextList) - Method in class weka.classifiers.lazy.AM.lattice.JohnsenJohanssonLattice
fill(SubcontextList) - Method in interface weka.classifiers.lazy.AM.lattice.Lattice: Fill the lattice with given subcontexts.
fill(SubcontextList) - Method in class weka.classifiers.lazy.AM.lattice.SparseLattice
formatAnalogicalSet(AMResults) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalSetFormatter
formatDistribution(AMResults, double[]) - Method in class weka.classifiers.evaluation.output.prediction.DistributionFormatter
formatGangs(AMResults) - Method in class weka.classifiers.evaluation.output.prediction.GangEffectsFormatter: Format the provided gang effects using the specified format.
formatPercentage(BigDecimal, int, boolean) - Static method in class weka.classifiers.lazy.AM.AMUtils
formatPointerPercentage(BigInteger, BigDecimal, int, boolean) - Static method in class weka.classifiers.lazy.AM.AMUtils
fromBits(int) - Method in class weka.classifiers.lazy.AM.label.BitSetLabeler
fromBits(int) - Method in class weka.classifiers.lazy.AM.label.IntLabeler
fromBits(int) - Method in class weka.classifiers.lazy.AM.label.Labeler: For testing purposes, this method allows the client to directly specify the label using the bits of an integer
fromBits(int) - Method in class weka.classifiers.lazy.AM.label.LongLabeler

G

GangEffect - Class in weka.classifiers.lazy.AM.data: 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 - Class in weka.classifiers.evaluation.output.prediction
GangEffectsFormatter(int, Format, String) - Constructor for class weka.classifiers.evaluation.output.prediction.GangEffectsFormatter
gangsTipText() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Returns the tip text for this property.
get(T) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
getAnalogicalSet() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
getCandidateParent() - Method in class weka.classifiers.lazy.AM.data.Concept
getCapabilities() - Method in class weka.classifiers.lazy.AnalogicalModeling: Analogical Modeling can handle only nominal class attributes.
getCardinality() - Method in class weka.classifiers.lazy.AM.data.SubcontextList
getCardinality() - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
getCardinality() - Method in class weka.classifiers.lazy.AM.label.IntLabel
getCardinality() - Method in class weka.classifiers.lazy.AM.label.Label
getCardinality() - Method in class weka.classifiers.lazy.AM.label.Labeler
getCardinality() - Method in class weka.classifiers.lazy.AM.label.LongLabel
getCardinality(Instance, boolean) - Static method in class weka.classifiers.lazy.AM.label.Labeler: Calculate the label cardinality for a given test instance
getClassifiedEx() - Method in class weka.classifiers.lazy.AM.data.AMResults
getClassLikelihood() - Method in class weka.classifiers.lazy.AM.data.AMResults
getClassPointers() - Method in class weka.classifiers.lazy.AM.data.AMResults
getClassProbability() - Method in class weka.classifiers.lazy.AM.data.AMResults
getConsideredExemplarCount() - Method in class weka.classifiers.lazy.AM.data.SubcontextList
getContext() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
getContext() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
getContext() - Method in class weka.classifiers.lazy.AM.data.Concept
getContext() - Method in interface weka.classifiers.lazy.AM.data.Supracontext: Retrieve the supracontextual context, represented with a Label object.
getContext() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
getContextList(Label, String) - Method in class weka.classifiers.lazy.AM.label.Labeler: Returns a list representing the context.
getContextString(Label) - Method in class weka.classifiers.lazy.AM.label.Labeler: Returns a string representing the context.
getCount() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
getCount() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
getCount() - Method in class weka.classifiers.lazy.AM.data.Concept
getCount() - Method in interface weka.classifiers.lazy.AM.data.Supracontext
getCount() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
getData() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
getData() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
getData() - Method in class weka.classifiers.lazy.AM.data.Concept
getData() - Method in interface weka.classifiers.lazy.AM.data.Supracontext
getData() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
getDescription() - Method in interface weka.classifiers.lazy.AM.Enum2TagUtils.TagInfo
getDescription() - Method in enum weka.classifiers.lazy.AM.label.MissingDataCompare
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
getDisplayLabel() - Method in class weka.classifiers.lazy.AM.data.Subcontext
getElement(Class<E>, String) - Static method in class weka.classifiers.lazy.AM.Enum2TagUtils
getElement(Class<E>, SelectedTag) - Static method in class weka.classifiers.lazy.AM.Enum2TagUtils
getExemplarEffectMap() - Method in class weka.classifiers.lazy.AM.data.AMResults
getExemplarPointers() - Method in class weka.classifiers.lazy.AM.data.AMResults
getExemplars() - Method in class weka.classifiers.lazy.AM.data.Subcontext
getExpectedClassName() - Method in class weka.classifiers.lazy.AM.data.AMResults
getExtent() - Method in class weka.classifiers.lazy.AM.data.Concept
getFormat() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
getGangEffects() - Method in class weka.classifiers.lazy.AM.data.AMResults
getGangs() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
getIgnoreFullMatches() - Method in class weka.classifiers.lazy.AM.data.SubcontextList
getIgnoreUnknowns() - Method in class weka.classifiers.lazy.AM.label.Labeler
getIgnoreUnknowns() - Method in class weka.classifiers.lazy.AnalogicalModeling
getIndex() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
getInstanceAttNamesList(Instance) - Method in class weka.classifiers.lazy.AM.label.Labeler
getInstanceAttsString(Instance, String) - Method in class weka.classifiers.lazy.AM.label.Labeler: Returns a string containing the attributes of the input instance (minus the class attribute and ignored attributes).
getInstanceAttValuesList(Instance) - Method in class weka.classifiers.lazy.AM.label.Labeler: Returns a list containing the attributes of the input instance (minus the class attribute and ignored attributes).
getIntent() - Method in class weka.classifiers.lazy.AM.data.Concept
getJudgement() - Method in class weka.classifiers.lazy.AM.data.AMResults
getLabel() - Method in class weka.classifiers.lazy.AM.data.Subcontext
getLabeler() - Method in class weka.classifiers.lazy.AM.data.AMResults
getLabeler() - Method in class weka.classifiers.lazy.AM.data.SubcontextList
getLatticeBottom() - Method in class weka.classifiers.lazy.AM.label.BitSetLabeler
getLatticeBottom() - Method in class weka.classifiers.lazy.AM.label.IntLabeler
getLatticeBottom() - Method in class weka.classifiers.lazy.AM.label.Labeler: Creates and returns the label which belongs at the bottom of the boolean lattice formed by the subcontexts labeled by this labeler, i.e.
getLatticeBottom() - Method in class weka.classifiers.lazy.AM.label.LongLabeler
getLatticeTop() - Method in class weka.classifiers.lazy.AM.label.BitSetLabeler
getLatticeTop() - Method in class weka.classifiers.lazy.AM.label.IntLabeler
getLatticeTop() - Method in class weka.classifiers.lazy.AM.label.Labeler: Creates and returns the label which belongs at the top of the boolean lattice formed by the subcontexts labeled by this labeler, i.e.
getLatticeTop() - Method in class weka.classifiers.lazy.AM.label.LongLabeler
getLinearCount() - Method in class weka.classifiers.lazy.AnalogicalModeling
getMaximumCardinality() - Method in interface weka.classifiers.lazy.AM.label.LabelerFactory
getMaximumCardinality() - Method in class weka.classifiers.lazy.AM.label.LabelerFactory.IntLabelerFactory
getMaximumCardinality() - Method in class weka.classifiers.lazy.AM.label.LabelerFactory.LongLabelerFactory
getMissingDataCompare() - Method in class weka.classifiers.lazy.AM.label.Labeler
getMissingDataCompare() - Method in class weka.classifiers.lazy.AnalogicalModeling
getNext() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
getOptions() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.classifiers.lazy.AnalogicalModeling: Returns the options currently set.
getOptionString() - Method in interface weka.classifiers.lazy.AM.Enum2TagUtils.TagInfo
getOptionString() - Method in enum weka.classifiers.lazy.AM.label.MissingDataCompare
getOutcome() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra: Get the outcome of this supracontext.
getOutcome() - Method in class weka.classifiers.lazy.AM.data.Subcontext
getParents() - Method in class weka.classifiers.lazy.AM.data.Concept
getPointerCountingStrategy() - Method in class weka.classifiers.lazy.AM.data.AMResults
getPredictedClasses() - Method in class weka.classifiers.lazy.AM.data.AMResults
getRemoveTestExemplar() - Method in class weka.classifiers.lazy.AnalogicalModeling
getResults() - Method in class weka.classifiers.lazy.AnalogicalModeling: Note that this is not thread-safe; see the documentation for classify.
getSubcontexts() - Method in class weka.classifiers.lazy.AM.data.AMResults
getSubList() - Method in class weka.classifiers.lazy.AM.data.AMResults
getSummary() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
getSupra() - Method in class weka.classifiers.lazy.AM.data.Concept
getSupracontext() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
getSupracontexts() - Method in class weka.classifiers.lazy.AM.lattice.BasicLattice
getSupracontexts() - Method in class weka.classifiers.lazy.AM.lattice.DistributedLattice
getSupracontexts() - Method in class weka.classifiers.lazy.AM.lattice.HeterogeneousLattice
getSupracontexts() - Method in class weka.classifiers.lazy.AM.lattice.JohnsenJohanssonLattice
getSupracontexts() - Method in interface weka.classifiers.lazy.AM.lattice.Lattice
getSupracontexts() - Method in class weka.classifiers.lazy.AM.lattice.SparseLattice
getSupraList() - Method in class weka.classifiers.lazy.AM.data.AMResults
getTags(Class<E>) - Static method in class weka.classifiers.lazy.AM.Enum2TagUtils
getTechnicalInformation() - Method in class weka.classifiers.lazy.AnalogicalModeling
getTestInstance() - Method in class weka.classifiers.lazy.AM.label.Labeler
getTotalPointers() - Method in class weka.classifiers.lazy.AM.data.AMResults
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
globalInfo() - Method in class weka.classifiers.lazy.AnalogicalModeling: Returns basic human readable information about the classifier, including references.

H

hashCode() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
hashCode() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
hashCode() - Method in class weka.classifiers.lazy.AM.data.Concept: This implementation differs from the specification in Supracontext.hashCode(); it returns the hash of the intent (label), instead of the extent (contained subcontexts).
hashCode() - Method in class weka.classifiers.lazy.AM.data.Subcontext
hashCode() - Method in interface weka.classifiers.lazy.AM.data.Supracontext: The hashcode depends solely on the set of subcontexts contained in a supracontext.
hashCode() - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
hashCode() - Method in class weka.classifiers.lazy.AM.label.IntLabel
hashCode() - Method in class weka.classifiers.lazy.AM.label.LongLabel
hashCode() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
headers - Variable in class weka.classifiers.lazy.AM.AMUtils.CsvDoc
HETEROGENEOUS - Static variable in class weka.classifiers.lazy.AM.AMUtils: A heterogeneous outcome, which means we don't bother with it.
HeterogeneousLattice - Class in weka.classifiers.lazy.AM.lattice: Same as a normal lattice, except no supracontext is deemed heterogeneous and hence everything is kept.
HeterogeneousLattice(int) - Constructor for class weka.classifiers.lazy.AM.lattice.HeterogeneousLattice: Initializes Supracontextual lattice to a 2^n length array of Supracontexts, as well as the empty and the heterogeneous supracontexts.

I

ignoreUnknownsTipText() - Method in class weka.classifiers.lazy.AnalogicalModeling
INCORRECT - weka.classifiers.lazy.AM.data.AMResults.Judgement: The correct class was not predicted
incrementCount() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode: Increases count by one.
insert(Subcontext, Label) - Method in class weka.classifiers.lazy.AM.lattice.HeterogeneousLattice: Inserts sub into the lattice, into location given by label
insertAfter(Subcontext, int) - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode: Create a new node by copying this one, adding the given subcontext and setting the index to that provided.
intersect(Label) - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
intersect(Label) - Method in class weka.classifiers.lazy.AM.label.IntLabel
intersect(Label) - Method in class weka.classifiers.lazy.AM.label.Label: Create a new label for which each location is marked as a match if both this label and otherLabel are marked match, otherwise mismatch.
intersect(Label) - Method in class weka.classifiers.lazy.AM.label.LongLabel
IntLabel - Class in weka.classifiers.lazy.AM.label: A Label implementation that stores match/mismatch data in a single integer for compactness and speed.
IntLabel(int, int) - Constructor for class weka.classifiers.lazy.AM.label.IntLabel
IntLabel(Label) - Constructor for class weka.classifiers.lazy.AM.label.IntLabel: Create an IntLabel by copying the contents of another Label.
IntLabeler - Class in weka.classifiers.lazy.AM.label: Analogical Modeling uses labels composed of boolean vectors in order to group instances into subcontexts and subcontexts in supracontexts.
IntLabeler(Instance, boolean, MissingDataCompare) - Constructor for class weka.classifiers.lazy.AM.label.IntLabeler
IntLabelerFactory() - Constructor for class weka.classifiers.lazy.AM.label.LabelerFactory.IntLabelerFactory
isDescendantOf(Label) - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
isDescendantOf(Label) - Method in class weka.classifiers.lazy.AM.label.IntLabel
isDescendantOf(Label) - Method in class weka.classifiers.lazy.AM.label.Label: Determine if this label is the "descendant" of possibleAncestor.
isDescendantOf(Label) - Method in class weka.classifiers.lazy.AM.label.LongLabel
isEmpty() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
isEmpty() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
isEmpty() - Method in class weka.classifiers.lazy.AM.data.Concept
isEmpty() - Method in interface weka.classifiers.lazy.AM.data.Supracontext
isEmpty() - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
isEmpty() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
isHeterogeneous() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra: Determine if the supracontext is heterogeneous, meaning that ClassifiedSupra.getOutcome() returns AMUtils.HETEROGENEOUS.
isIgnored(int) - Method in class weka.classifiers.lazy.AM.label.Labeler: Find if the attribute at the given index is ignored during labeling.
isNondeterministic() - Method in class weka.classifiers.lazy.AM.data.Subcontext
iterator() - Method in class weka.classifiers.lazy.AM.data.SubcontextList
iterator() - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet

J

JohnsenJohanssonLattice - Class in weka.classifiers.lazy.AM.lattice: The approximation algorithm from "Efficient Modeling of Analogy", Johnsen and Johansson, DOI 10.1007/978-3-540-30586-6_77.

L

label(Instance) - Method in class weka.classifiers.lazy.AM.label.BitSetLabeler
label(Instance) - Method in class weka.classifiers.lazy.AM.label.IntLabeler
label(Instance) - Method in class weka.classifiers.lazy.AM.label.Labeler: Create a context label for the input instance by comparing it with the test instance.
label(Instance) - Method in class weka.classifiers.lazy.AM.label.LongLabeler
Label - Class in weka.classifiers.lazy.AM.label: Analogical Modeling uses labels composed of boolean vectors in order to group instances into subcontexts and subcontexts into supracontexts.
Label() - Constructor for class weka.classifiers.lazy.AM.label.Label
labelBits() - Method in class weka.classifiers.lazy.AM.label.IntLabel
labelBits() - Method in class weka.classifiers.lazy.AM.label.LongLabel
Labeler - Class in weka.classifiers.lazy.AM.label: Analogical Modeling uses labels composed of boolean vectors in order to group instances into subcontexts and subcontexts in supracontexts.
Labeler(Instance, boolean, MissingDataCompare) - Constructor for class weka.classifiers.lazy.AM.label.Labeler
Labeler.Partition - Class in weka.classifiers.lazy.AM.label: Simple class for storing index spans.
LabelerFactory - Interface in weka.classifiers.lazy.AM.label: A factory for creating Labeler instances.
LabelerFactory.BitSetLabelerFactory - Class in weka.classifiers.lazy.AM.label
LabelerFactory.CardinalityBasedLabelerFactory - Class in weka.classifiers.lazy.AM.label: 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 - Class in weka.classifiers.lazy.AM.label
LabelerFactory.LongLabelerFactory - Class in weka.classifiers.lazy.AM.label
Lattice - Interface in weka.classifiers.lazy.AM.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 - Interface in weka.classifiers.lazy.AM.lattice: Factory for creating Lattices.
LatticeFactory.CardinalityBasedLatticeFactory - Class in weka.classifiers.lazy.AM.lattice: Chooses the lattice implementation based on the cardinality of the instances in the subcontext list.
LINE_SEPARATOR - Static variable in class weka.classifiers.lazy.AM.AMUtils
LINEAR - weka.classifiers.lazy.AM.data.AMResults.PointerCountingStrategry
linearCountTipText() - Method in class weka.classifiers.lazy.AnalogicalModeling
LinkedLatticeNode<T extends Supracontext> - Class in weka.classifiers.lazy.AM.lattice: This class is a decorator which wraps a Supracontext and adds the functionality of a linked node used in certain lattice-filling algorithms.
LinkedLatticeNode(T) - Constructor for class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode: Create a new node containing the given supracontext.
listOptions() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Returns an enumeration of all the available options..
listOptions() - Method in class weka.classifiers.lazy.AnalogicalModeling: Lists the options available for this classifier.
LongLabel - Class in weka.classifiers.lazy.AM.label: A Label implementation that stores match/mismatch data in a single long for compactness and speed.
LongLabel(long, int) - Constructor for class weka.classifiers.lazy.AM.label.LongLabel
LongLabel(Label) - Constructor for class weka.classifiers.lazy.AM.label.LongLabel: Create a LongLabel by copying the contents of other.
LongLabeler - Class in weka.classifiers.lazy.AM.label: This labeler creates labels via the LongLabel implementation.
LongLabeler(Instance, boolean, MissingDataCompare) - Constructor for class weka.classifiers.lazy.AM.label.LongLabeler
LongLabelerFactory() - Constructor for class weka.classifiers.lazy.AM.label.LabelerFactory.LongLabelerFactory

M

main(String[]) - Static method in class weka.classifiers.lazy.AM.AMVersion
main(String[]) - Static method in class weka.classifiers.lazy.AnalogicalModeling: Main method for testing this class.
MATCH - weka.classifiers.lazy.AM.label.MissingDataCompare: Always returns 0, considering the missing data to match anything
matches(int) - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
matches(int) - Method in class weka.classifiers.lazy.AM.label.IntLabel
matches(int) - Method in class weka.classifiers.lazy.AM.label.Label: Determine if the given index is marked as a match or a mismatch.
matches(int) - Method in class weka.classifiers.lazy.AM.label.LongLabel
matches(Instance, Instance, Attribute) - Method in enum weka.classifiers.lazy.AM.label.MissingDataCompare: Compare the two instances and return the comparison result.
MAX_CARDINALITY - Static variable in class weka.classifiers.lazy.AM.label.IntLabel: The maximum cardinality of an integer label, which is limited by the number of bits in an integer in Java.
MAX_CARDINALITY - Static variable in class weka.classifiers.lazy.AM.label.LongLabel: The maximum cardinality of a long label, which is limited by the number of bits in a long in Java.
merge(T, BiFunction<? super T, ? super T, ? extends T>) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet: Similar to Map.merge(Object, Object, BiFunction), but with the key and value being the same.
MISMATCH - weka.classifiers.lazy.AM.label.MissingDataCompare: Always returns 1, considering the missing data to be a mismatch
MissingDataCompare - Enum in weka.classifiers.lazy.AM.label
missingDataCompareTipText() - Method in class weka.classifiers.lazy.AnalogicalModeling

N

NONDETERMINISTIC - Static variable in class weka.classifiers.lazy.AM.AMUtils: A non-deterministic outcome, meaning that there is more than one possibility.
NONDETERMINISTIC_STRING - Static variable in class weka.classifiers.lazy.AM.AMUtils
notTagged() - Method in class weka.classifiers.lazy.AM.data.Concept
numMatches() - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
numMatches() - Method in class weka.classifiers.lazy.AM.label.IntLabel
numMatches() - Method in class weka.classifiers.lazy.AM.label.Label
numMatches() - Method in class weka.classifiers.lazy.AM.label.LongLabel
numPartitions() - Method in class weka.classifiers.lazy.AM.label.Labeler

P

partition(Label, int) - Method in class weka.classifiers.lazy.AM.label.BitSetLabeler
partition(Label, int) - Method in class weka.classifiers.lazy.AM.label.IntLabeler
partition(Label, int) - Method in class weka.classifiers.lazy.AM.label.Labeler: In distributed processing, it is necessary to split labels into partitions.
partition(Label, int) - Method in class weka.classifiers.lazy.AM.label.LongLabeler
printClassification(Classifier, Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: This is the function that is called in the GUI (ClassifierPanel); it has to be overridden here because the implementation in AbstractOutput calls AnalogicalModelingOutput.doPrintClassification(double[], Instance, int) instead

Q

QUADRATIC - weka.classifiers.lazy.AM.data.AMResults.PointerCountingStrategry

R

remove(Object) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
removeAll(Collection<?>) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
removeParent(Concept<T>) - Method in class weka.classifiers.lazy.AM.data.Concept
removeTestExemplarTipText() - Method in class weka.classifiers.lazy.AnalogicalModeling
REPORT_TABLE_STYLE - Static variable in class weka.classifiers.lazy.AM.AMUtils: Picnic library table style used for printing gangs and analogical sets
retainAll(Collection<?>) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
runClassifier(AnalogicalModeling, String[]) - Static method in class weka.classifiers.lazy.AnalogicalModeling: runs the classifier instance with the given options.

S

setAnalogicalSet(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
setCandidateParent(Concept<T>) - Method in class weka.classifiers.lazy.AM.data.Concept
setCount(BigInteger) - Method in class weka.classifiers.lazy.AM.data.BasicSupra
setCount(BigInteger) - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
setCount(BigInteger) - Method in class weka.classifiers.lazy.AM.data.Concept
setCount(BigInteger) - Method in interface weka.classifiers.lazy.AM.data.Supracontext: Set the count of the supracontext.
setCount(BigInteger) - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
setDefault(String, String) - Method in class weka.classifiers.lazy.AM.AMUtils.CsvBuilder
setFormat(SelectedTag) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
setGangs(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
setIgnoreUnknowns(boolean) - Method in class weka.classifiers.lazy.AnalogicalModeling
setLinearCount(boolean) - Method in class weka.classifiers.lazy.AnalogicalModeling
setMissingDataCompare(SelectedTag) - Method in class weka.classifiers.lazy.AnalogicalModeling
setNext(LinkedLatticeNode<T>) - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode: Set the next node linked to by this node
setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.lazy.AnalogicalModeling: * Parses a given list of options.
setRandomProvider(Supplier<Random>) - Method in class weka.classifiers.lazy.AnalogicalModeling: Provide the source of randomness for algorithms that require it (e.g.
setRemoveTestExemplar(boolean) - Method in class weka.classifiers.lazy.AnalogicalModeling
setSummary(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput
setTagged(boolean) - Method in class weka.classifiers.lazy.AM.data.Concept
size() - Method in class weka.classifiers.lazy.AM.data.SubcontextList
size() - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
SparseLattice - Class in weka.classifiers.lazy.AM.lattice: Warning: this class is currently experimental, slow, and not correct.
Subcontext - Class in weka.classifiers.lazy.AM.data: Represents a subcontext, containing a list of Instances which belong to it, along with their shared Label and common outcome.
Subcontext(Label, String) - Constructor for class weka.classifiers.lazy.AM.data.Subcontext: Initializes the subcontext by creating a list to hold the data
SubcontextList - Class in weka.classifiers.lazy.AM.data: This class creates and manages a list of subcontexts from a set of previously classified exemplars and an exemplar to be classified.
SubcontextList(Labeler, List<Instance>, boolean) - Constructor for class weka.classifiers.lazy.AM.data.SubcontextList: This is the easiest to use constructor.
summaryTipText() - Method in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Returns the tip text for this property.
Supracontext - Interface in weka.classifiers.lazy.AM.data: A supracontext contains a set of Subcontexts which have certain commonalities in their Labels.
supraListToString() - Method in class weka.classifiers.lazy.AM.lattice.HeterogeneousLattice

T

TAGS_FORMATTER - Static variable in class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput: Define possible formatting methods
TAGS_MISSING - Static variable in class weka.classifiers.lazy.AnalogicalModeling: Define possible missing value handling methods
TIE - weka.classifiers.lazy.AM.data.AMResults.Judgement: The correct class and others were tied in the prediction
toArray() - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
toArray(T1[]) - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
toString() - Method in class weka.classifiers.lazy.AM.data.AMResults
toString() - Method in class weka.classifiers.lazy.AM.data.BasicSupra
toString() - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra
toString() - Method in class weka.classifiers.lazy.AM.data.Concept
toString() - Method in class weka.classifiers.lazy.AM.data.Subcontext
toString() - Method in class weka.classifiers.lazy.AM.data.SubcontextList: This method is not particularly speedy, since it sorts the contained subcontexts by label.
toString() - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
toString() - Method in class weka.classifiers.lazy.AM.label.IntLabel
toString() - Method in class weka.classifiers.lazy.AM.label.Labeler.Partition
toString() - Method in class weka.classifiers.lazy.AM.label.LongLabel
toString() - Method in class weka.classifiers.lazy.AM.lattice.LinkedLatticeNode
toString() - Method in class weka.classifiers.lazy.AnalogicalModeling
toSummaryString() - Method in class weka.classifiers.lazy.AnalogicalModeling

U

union(Label) - Method in class weka.classifiers.lazy.AM.label.BitSetLabel
union(Label) - Method in class weka.classifiers.lazy.AM.label.IntLabel
union(Label) - Method in class weka.classifiers.lazy.AM.label.Label: Create a new label for which each location is marked as a match if either this label or other is marked match, otherwise mismatch.
union(Label) - Method in class weka.classifiers.lazy.AM.label.LongLabel
UNKNOWN - weka.classifiers.lazy.AM.data.AMResults.Judgement: The correct class was not specified in the dataset
UNKNOWN - Static variable in class weka.classifiers.lazy.AM.AMUtils: An unknown class value.
unwrap() - Method in class weka.classifiers.lazy.AM.lattice.CanonicalizingSet
updateClassifier(Instance) - Method in class weka.classifiers.lazy.AnalogicalModeling: This is used to add more information to the classifier.

V

valueOf(String) - Static method in enum weka.classifiers.lazy.AM.data.AMResults.Judgement: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.classifiers.lazy.AM.data.AMResults.PointerCountingStrategry: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.classifiers.lazy.AM.label.MissingDataCompare: Returns the enum constant of this type with the specified name.
values() - Static method in enum weka.classifiers.lazy.AM.data.AMResults.Judgement: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.classifiers.lazy.AM.data.AMResults.PointerCountingStrategry: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.classifiers.lazy.AM.label.MissingDataCompare: Returns an array containing the constants of this enum type, in the order they are declared.
VARIABLE - weka.classifiers.lazy.AM.label.MissingDataCompare: Treats missing value as like any other value; two missing values match, but a missing value matches nothing else.
VERSION - Static variable in class weka.classifiers.lazy.AM.AMVersion

W

weka.classifiers.evaluation.output.prediction - package weka.classifiers.evaluation.output.prediction
weka.classifiers.lazy - package weka.classifiers.lazy
weka.classifiers.lazy.AM - package weka.classifiers.lazy.AM
weka.classifiers.lazy.AM.data - package weka.classifiers.lazy.AM.data
weka.classifiers.lazy.AM.label - package weka.classifiers.lazy.AM.label
weka.classifiers.lazy.AM.lattice - package weka.classifiers.lazy.AM.lattice
wouldBeHetero(Subcontext) - Method in class weka.classifiers.lazy.AM.data.ClassifiedSupra: Test if adding a subcontext would cause this supracontext to become heterogeneous.

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