A B C D E F G H I J K L M N O P Q R S T U V W X Z

A

absNorm() - Method in interface cc.mallet.types.ConstantMatrix
 
absNorm() - Method in class cc.mallet.types.DenseMatrix
 
absNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
 
absNorm() - Method in class cc.mallet.types.SparseMatrixn
 
absNorm() - Method in class cc.mallet.types.SparseVector
 
absNormalize() - Method in class cc.mallet.types.DenseMatrix
 
absNormalize() - Method in interface cc.mallet.types.Matrix
 
absNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
 
absNormalize() - Method in class cc.mallet.types.SparseMatrixn
 
absoluteDifference(Dirichlet) - Method in class cc.mallet.types.Dirichlet
Compute the L1 residual between two dirichlets
AbstractBeliefPropagation - Class in cc.mallet.grmm.inference
Abstract base class for umplementations of belief propagation for general factor graphs.
AbstractBeliefPropagation() - Constructor for class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
AbstractBeliefPropagation(AbstractBeliefPropagation.MessageStrategy) - Constructor for class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
AbstractBeliefPropagation.AbstractMessageStrategy - Class in cc.mallet.grmm.inference
 
AbstractBeliefPropagation.AbstractMessageStrategy() - Constructor for class cc.mallet.grmm.inference.AbstractBeliefPropagation.AbstractMessageStrategy
 
AbstractBeliefPropagation.MaxProductMessageStrategy - Class in cc.mallet.grmm.inference
 
AbstractBeliefPropagation.MaxProductMessageStrategy() - Constructor for class cc.mallet.grmm.inference.AbstractBeliefPropagation.MaxProductMessageStrategy
 
AbstractBeliefPropagation.MessageStrategy - Interface in cc.mallet.grmm.inference
 
AbstractBeliefPropagation.SumProductMessageStrategy - Class in cc.mallet.grmm.inference
 
AbstractBeliefPropagation.SumProductMessageStrategy() - Constructor for class cc.mallet.grmm.inference.AbstractBeliefPropagation.SumProductMessageStrategy
 
AbstractBeliefPropagation.SumProductMessageStrategy(double) - Constructor for class cc.mallet.grmm.inference.AbstractBeliefPropagation.SumProductMessageStrategy
 
AbstractFactor - Class in cc.mallet.grmm.types
An Abstract class from which new Factor classes can be subclassed.
AbstractFactor() - Constructor for class cc.mallet.grmm.types.AbstractFactor
 
AbstractFactor(VarSet) - Constructor for class cc.mallet.grmm.types.AbstractFactor
 
AbstractInferencer - Class in cc.mallet.grmm.inference
Abstract base class for inferencers.
AbstractInferencer() - Constructor for class cc.mallet.grmm.inference.AbstractInferencer
 
AbstractMessageStrategy - Class in cc.mallet.grmm.inference.gbp
Created: May 29, 2005
AbstractMessageStrategy() - Constructor for class cc.mallet.grmm.inference.gbp.AbstractMessageStrategy
 
AbstractTableFactor - Class in cc.mallet.grmm.types
Class for a multivariate multinomial distribution.
AbstractTableFactor(BidirectionalIntObjectMap) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
 
AbstractTableFactor(Variable) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates an identity potential over the given variable.
AbstractTableFactor(Variable, double[]) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
 
AbstractTableFactor() - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates an identity potential over NO variables.
AbstractTableFactor(Variable[]) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates an identity potential with the given variables.
AbstractTableFactor(Collection) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates an identity potential with the given variables.
AbstractTableFactor(Variable[], double[]) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates a potential with the given variables and the given probabilities.
AbstractTableFactor(VarSet, double[]) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates a potential with the given variables and the given probabilities.
AbstractTableFactor(Variable[], Matrix) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates a potential with the given variables and the given probabilities.
AbstractTableFactor(AbstractTableFactor) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Copy constructor.
AbstractTableFactor(VarSet, Matrix) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates a potential with the given variables and the given probabilities.
AbstractTableFactor(AbstractTableFactor, double[]) - Constructor for class cc.mallet.grmm.types.AbstractTableFactor
Creates a potential with the same variables as another, but different probabilites.
accept(File) - Method in class cc.mallet.util.DirectoryFilter
 
accept(File) - Method in class cc.mallet.util.RegexFileFilter
 
accuracyAtCoverage(double) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
accuracy at a given coverage percentage
accuracyAtCoverage(double) - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
AccuracyCoverage - Class in cc.mallet.classify.evaluate
Methods for calculating and displaying the accuracy v.
AccuracyCoverage(Trial, int, String, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
Constructs object, sorts classifications, and creates accuracyValues array
AccuracyCoverage(Trial, String, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
 
AccuracyCoverage(Trial, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
 
AccuracyCoverage(Classifier, InstanceList, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
 
AccuracyCoverage(Classifier, InstanceList, int, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
 
AccuracyCoverage.ClassificationComparator - Class in cc.mallet.classify.evaluate
 
AccuracyCoverage.ClassificationComparator() - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage.ClassificationComparator
 
AccuracyCoverageEvaluator - Class in cc.mallet.extract
Constructs Accuracy-coverage graph using confidence values to sort Fields.
AccuracyCoverageEvaluator(int) - Constructor for class cc.mallet.extract.AccuracyCoverageEvaluator
 
accuracyCoverageValuesToString() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
AccuracyEvaluator - Class in cc.mallet.cluster.evaluate
Accuracy of a clustering is (truePositive + trueNegative) / (numberPairwiseComparisons)
AccuracyEvaluator() - Constructor for class cc.mallet.cluster.evaluate.AccuracyEvaluator
 
accuracyRecallValuesToString(int) - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
accuracyValues() - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
 
ACRF - Class in cc.mallet.grmm.learning
Class for Arbitrary CRFs.
ACRF(Pipe, ACRF.Template[]) - Constructor for class cc.mallet.grmm.learning.ACRF
Create a ACRF for a 1-d sequence.
ACRF.BigramTemplate - Class in cc.mallet.grmm.learning
A template that adds edges between adjacent nodes in a label sequence for one factor.
ACRF.BigramTemplate(int) - Constructor for class cc.mallet.grmm.learning.ACRF.BigramTemplate
 
ACRF.FixedFactorTemplate - Class in cc.mallet.grmm.learning
 
ACRF.FixedFactorTemplate() - Constructor for class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
ACRF.GraphPostProcessor - Interface in cc.mallet.grmm.learning
Interface for making global transformations to an unrolled graph after it has been generated.
ACRF.MaximizableACRF - Class in cc.mallet.grmm.learning
 
ACRF.MaximizableACRF(InstanceList) - Constructor for class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
ACRF.PairwiseFactorTemplate - Class in cc.mallet.grmm.learning
A template that adds edges between cotemporal nodes of a given pair of factors.
ACRF.PairwiseFactorTemplate(int, int) - Constructor for class cc.mallet.grmm.learning.ACRF.PairwiseFactorTemplate
 
ACRF.SequenceTemplate - Class in cc.mallet.grmm.learning
Abstract class for Templates that expect a (FeatureVectorSequence, LabelsSequence) for their instances.
ACRF.SequenceTemplate() - Constructor for class cc.mallet.grmm.learning.ACRF.SequenceTemplate
 
ACRF.Template - Class in cc.mallet.grmm.learning
A type of clique in the model.
ACRF.Template() - Constructor for class cc.mallet.grmm.learning.ACRF.Template
 
ACRF.UnigramTemplate - Class in cc.mallet.grmm.learning
A template that adds node potentials for a given factor.
ACRF.UnigramTemplate(int) - Constructor for class cc.mallet.grmm.learning.ACRF.UnigramTemplate
 
ACRF.UnrolledGraph - Class in cc.mallet.grmm.learning
 
ACRF.UnrolledGraph(Instance, ACRF.Template[], ACRF.Template[]) - Constructor for class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
ACRF.UnrolledGraph(Instance, ACRF.Template[], List, boolean) - Constructor for class cc.mallet.grmm.learning.ACRF.UnrolledGraph
Creates a graphical model for a given instance.
ACRF.UnrolledVarSet - Class in cc.mallet.grmm.learning
A clique in the unrolled graphical model (an instantiation of some Template).
ACRF.UnrolledVarSet(ACRF.UnrolledGraph, ACRF.Template, Variable[], FeatureVector) - Constructor for class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
ACRFEvaluator - Class in cc.mallet.grmm.learning
Created: Sun Jan 25 23:28:45 2004
ACRFEvaluator() - Constructor for class cc.mallet.grmm.learning.ACRFEvaluator
 
ACRFExtractor - Class in cc.mallet.grmm.learning.extract
Created: Mar 1, 2005
ACRFExtractor(ACRF, Pipe, Pipe) - Constructor for class cc.mallet.grmm.learning.extract.ACRFExtractor
 
ACRFExtractorTrainer - Class in cc.mallet.grmm.learning.extract
Created: Mar 31, 2005
ACRFExtractorTrainer() - Constructor for class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
AcrfExtractorTui - Class in cc.mallet.grmm.learning.extract
 
AcrfExtractorTui() - Constructor for class cc.mallet.grmm.learning.extract.AcrfExtractorTui
 
AcrfSerialEvaluator - Class in cc.mallet.grmm.learning
Created: Aug 24, 2005
AcrfSerialEvaluator(List) - Constructor for class cc.mallet.grmm.learning.AcrfSerialEvaluator
 
ACRFTrainer - Interface in cc.mallet.grmm.learning
$Id: ACRFTrainer.java,v 1.1 2007/10/22 21:37:43 mccallum Exp $
actionPerformed(ActionEvent) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
 
AdaBoost - Class in cc.mallet.classify
AdaBoost Robert E.
AdaBoost(Pipe, Classifier[], double[]) - Constructor for class cc.mallet.classify.AdaBoost
 
AdaBoostM2 - Class in cc.mallet.classify
AdaBoostM2
AdaBoostM2(Pipe, Classifier[], double[]) - Constructor for class cc.mallet.classify.AdaBoostM2
 
AdaBoostM2Trainer - Class in cc.mallet.classify
This version of AdaBoost can handle multi-class problems.
AdaBoostM2Trainer(ClassifierTrainer, int) - Constructor for class cc.mallet.classify.AdaBoostM2Trainer
 
AdaBoostM2Trainer(ClassifierTrainer) - Constructor for class cc.mallet.classify.AdaBoostM2Trainer
 
AdaBoostTrainer - Class in cc.mallet.classify
This version of AdaBoost should be used only for binary classification.
AdaBoostTrainer(ClassifierTrainer, int) - Constructor for class cc.mallet.classify.AdaBoostTrainer
 
AdaBoostTrainer(ClassifierTrainer) - Constructor for class cc.mallet.classify.AdaBoostTrainer
 
add(int, double, double, double) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
add(String) - Method in class cc.mallet.classify.evaluate.Graph.Legend
 
add(Classification) - Method in class cc.mallet.classify.Trial
 
add(int, Classification) - Method in class cc.mallet.classify.Trial
 
add(int, double, double, double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
add(int, double, double, int) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
add(Object) - Method in class cc.mallet.grmm.types.BitVarSet
 
add(Object) - Method in class cc.mallet.grmm.types.HashVarSet
 
add(Object, boolean) - Method in class cc.mallet.grmm.types.HashVarSet
 
add(Object) - Method in class cc.mallet.grmm.types.ListVarSet
 
add(Object) - Method in class cc.mallet.grmm.types.Tree
 
add(Variable) - Method in class cc.mallet.grmm.types.Universe
 
add(Object) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
add(int, int, Object) - Method in class cc.mallet.grmm.util.CSIntInt2ObjectMultiMap
 
add(Object) - Method in class cc.mallet.grmm.util.THashMultiMap
Adds key as a key with an empty list as a value.
add(FeatureVector) - Method in class cc.mallet.types.AugmentableFeatureVector
Adds all indices that are present in some other feature vector with value 1.0.
add(FeatureVector, String) - Method in class cc.mallet.types.AugmentableFeatureVector
Adds all features from some other feature vector with weight 1.0.
add(FeatureVector, String, boolean) - Method in class cc.mallet.types.AugmentableFeatureVector
Adds all features from some other feature vector with weight 1.0.
add(int, double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
add(Object, double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
add(int) - Method in class cc.mallet.types.AugmentableFeatureVector
 
add(FeatureConjunction) - Method in class cc.mallet.types.FeatureConjunction.List
 
add(Object) - Method in class cc.mallet.types.FeatureSelection
 
add(int) - Method in class cc.mallet.types.FeatureSelection
 
add(int) - Method in class cc.mallet.types.FeatureSequence
 
add(Object) - Method in class cc.mallet.types.FeatureSequence
 
add(Object, Object, Object, Object, double) - Method in class cc.mallet.types.InstanceList
Deprecated. Use trainingset.addThruPipe (new Instance(data,target,name,source)) instead.
add(Object, Object, Object, Object) - Method in class cc.mallet.types.InstanceList
Deprecated. Use trainingset.add (new Instance(data,target,name,source)) instead.
add(Instance) - Method in class cc.mallet.types.InstanceList
Appends the instance to this list without passing the instance through the InstanceList's pipe.
add(Instance, double) - Method in class cc.mallet.types.InstanceList
Appends the instance to this list without passing it through this InstanceList's pipe, assigning it the specified weight.
add(int, Instance) - Method in class cc.mallet.types.InstanceList
 
add(Instance, double) - Method in class cc.mallet.types.MultiInstanceList
 
add(Instance) - Method in class cc.mallet.types.MultiInstanceList
 
add(int, Instance) - Method in class cc.mallet.types.MultiInstanceList
 
add(Instance) - Method in class cc.mallet.types.PagedInstanceList
Appends the instance to this list.
add(Classification) - Method in class cc.mallet.types.ROCData
Adds classification results to the ROC data
add(Trial) - Method in class cc.mallet.types.ROCData
Adds trial results to the ROC data
add(ROCData) - Method in class cc.mallet.types.ROCData
Adds existing ROC data to this ROC data
add(String) - Method in class cc.mallet.types.TokenSequence
 
add(Object) - Method in interface cc.mallet.util.Addable
 
add(CommandOption) - Method in class cc.mallet.util.CommandOption.List
 
add(CommandOption[]) - Method in class cc.mallet.util.CommandOption.List
 
add(CommandOption.List) - Method in class cc.mallet.util.CommandOption.List
 
add(Class) - Method in class cc.mallet.util.CommandOption.List
 
add(double) - Method in class cc.mallet.util.DoubleList
 
add(String, Object, PropertyList) - Static method in class cc.mallet.util.PropertyList
 
add(String, String, PropertyList) - Static method in class cc.mallet.util.PropertyList
 
add(String, double, PropertyList) - Static method in class cc.mallet.util.PropertyList
 
Addable - Interface in cc.mallet.util
 
addAll(Collection<? extends Classification>) - Method in class cc.mallet.classify.Trial
 
addAll(int, Collection<? extends Classification>) - Method in class cc.mallet.classify.Trial
 
addAll(Collection) - Method in class cc.mallet.grmm.types.HashVarSet
 
addAll(Collection) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
addAll(Collection<? extends Instance>) - Method in class cc.mallet.types.InstanceList
 
addAll(int, Collection<? extends Instance>) - Method in class cc.mallet.types.InstanceList
 
addAll(Object[]) - Method in class cc.mallet.types.TokenSequence
 
addAllFactors(FactorGraph, List) - Static method in class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator
 
AddClassifierTokenPredictions - Class in cc.mallet.pipe
This pipe uses a Classifier to label each token (i.e., using 0-th order Markov assumption), then adds the predictions as features to each token.
AddClassifierTokenPredictions(InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions
 
AddClassifierTokenPredictions(InstanceList, InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions
 
AddClassifierTokenPredictions(AddClassifierTokenPredictions.TokenClassifiers, int[], boolean, InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions
 
AddClassifierTokenPredictions.TokenClassifiers - Class in cc.mallet.pipe
This inner class represents the trained token classifiers.
AddClassifierTokenPredictions.TokenClassifiers(InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
Train a token classifier using the given Instances with 5-fold cross validation
AddClassifierTokenPredictions.TokenClassifiers(InstanceList, int, int) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
 
AddClassifierTokenPredictions.TokenClassifiers(ClassifierTrainer, InstanceList, int, int) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
 
addClique(ACRF.UnrolledVarSet) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
addConjunction(String, Alphabet, int[], boolean[]) - Method in class cc.mallet.pipe.AugmentableFeatureVectorAddConjunctions
 
addConstraint(int, double[], double) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints
 
addConstraint(int, int, double, double, double) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints
 
addConstraint(int, int, double, double, double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
addConstraint(int, double[][], double) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
addConstraint(int, double[][], double) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints
 
addConstraint(int, double[][], double) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints
 
addConstraint(int, int, double, double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
addConstraint(int, double[], double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
addDataToGraph(double[], int, String) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
 
addDocumentExtraction(DocumentExtraction) - Method in class cc.mallet.extract.Extraction
 
addDocuments(InstanceList, int, int, int, String, Randoms) - Method in class cc.mallet.topics.LDA
Deprecated.  
addEvaluator(TransducerEvaluator) - Method in class cc.mallet.fst.TransducerTrainer
 
addEvaluators(Collection<TransducerEvaluator>) - Method in class cc.mallet.fst.TransducerTrainer
 
addEvidence(FactorGraph, Assignment) - Static method in class cc.mallet.grmm.util.Models
Returns a new factor graph, the same as a given one, except that all the nodes in the given Assignment are clamped as evidence.
addEvidence(FactorGraph, Assignment, Map) - Static method in class cc.mallet.grmm.util.Models
 
addEvidence(UndirectedModel, Assignment) - Static method in class cc.mallet.grmm.util.Models
 
addExpectations(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
addExpectations(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
addExpectations(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
addExpectations(double[]) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
addFactor(Variable, Variable, double[]) - Method in class cc.mallet.grmm.types.FactorGraph
 
addFactor(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
Adds a factor to the model.
addFactor(Factor) - Method in class cc.mallet.grmm.types.UndirectedModel
 
addFeaturesClassEntropyThreshold - Variable in class cc.mallet.classify.DecisionTree
 
addFeatureWeightsTo(double[]) - Method in class cc.mallet.types.FeatureSequence
 
addFeatureWeightsTo(double[], double) - Method in class cc.mallet.types.FeatureSequence
 
addFiller(LabeledSpan) - Method in class cc.mallet.extract.Field
 
addFixedPotential(ACRF.Template) - Method in class cc.mallet.grmm.learning.ACRF
 
addFixedPotentials(ACRF.Template[]) - Method in class cc.mallet.grmm.learning.ACRF
 
addFullyConnectedStates(String[]) - Method in class cc.mallet.fst.CRF
Add a group of states that are fully connected with each other, with parameters equal zero, and labels on their out-going arcs the same name as their destination state names.
addFullyConnectedStates(String[]) - Method in class cc.mallet.fst.HMM
Add a group of states that are fully connected with each other, with parameters equal zero, and labels on their out-going arcs the same name as their destination state names.
addFullyConnectedStatesForBiLabels() - Method in class cc.mallet.fst.CRF
 
addFullyConnectedStatesForBiLabels() - Method in class cc.mallet.fst.HMM
 
addFullyConnectedStatesForLabels() - Method in class cc.mallet.fst.CRF
 
addFullyConnectedStatesForLabels() - Method in class cc.mallet.fst.HMM
 
addFullyConnectedStatesForThreeQuarterLabels(InstanceList) - Method in class cc.mallet.fst.CRF
 
addFullyConnectedStatesForThreeQuarterLabels(InstanceList) - Method in class cc.mallet.fst.HMM
 
addFullyConnectedStatesForTriLabels() - Method in class cc.mallet.fst.CRF
 
addFullyConnectedStatesForTriLabels() - Method in class cc.mallet.fst.HMM
 
addInstances(InstanceList) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
addInstances(InstanceList, List<LabelSequence>) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
addInstances(InstanceList, int) - Method in class cc.mallet.topics.NPTopicModel
 
addInstances(InstanceList) - Method in class cc.mallet.topics.ParallelTopicModel
 
addInstances(InstanceList[]) - Method in class cc.mallet.topics.PolylingualTopicModel
 
addInstances(InstanceList) - Method in class cc.mallet.topics.SimpleLDA
 
addInstantiatedCliques(ACRF.UnrolledGraph, FeatureVectorSequence, LabelsAssignment) - Method in class cc.mallet.grmm.examples.CrossTemplate1
 
addInstantiatedCliques(ACRF.UnrolledGraph, FeatureVectorSequence, LabelsAssignment) - Method in class cc.mallet.grmm.learning.ACRF.BigramTemplate
 
addInstantiatedCliques(ACRF.UnrolledGraph, FeatureVectorSequence, LabelsAssignment) - Method in class cc.mallet.grmm.learning.ACRF.PairwiseFactorTemplate
 
addInstantiatedCliques(ACRF.UnrolledGraph, FeatureVectorSequence, LabelsAssignment) - Method in class cc.mallet.grmm.learning.ACRF.SequenceTemplate
Adds all instiated cliques for an instance.
addInstantiatedCliques(ACRF.UnrolledGraph, Instance) - Method in class cc.mallet.grmm.learning.ACRF.SequenceTemplate
 
addInstantiatedCliques(ACRF.UnrolledGraph, Instance) - Method in class cc.mallet.grmm.learning.ACRF.Template
Adds all instiated cliques for an instance.
addInstantiatedCliques(ACRF.UnrolledGraph, FeatureVectorSequence, LabelsAssignment) - Method in class cc.mallet.grmm.learning.ACRF.UnigramTemplate
 
addInstantiatedCliques(ACRF.UnrolledGraph, FeatureVectorSequence, LabelsAssignment) - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
addItem(String, int, Color) - Method in class cc.mallet.classify.evaluate.Graph
 
addItem(String, int) - Method in class cc.mallet.classify.evaluate.Graph
 
addItemVector(Vector, String) - Method in class cc.mallet.classify.evaluate.Graph
Adds a new data series
addLogProbabilities(double[]) - Method in class cc.mallet.types.Multinomial.Logged
 
addMultinomial(Multinomial) - Method in class cc.mallet.types.Dirichlet.Estimator
 
addNode(Object, Object) - Method in class cc.mallet.grmm.inference.JunctionTree
 
addNode(Object, Object) - Method in class cc.mallet.grmm.types.Tree
 
addOrderNStates(InstanceList, int[], boolean[], String, Pattern, Pattern, boolean) - Method in class cc.mallet.fst.CRF
Assumes that the CRF's output alphabet contains Strings.
addOrderNStates(InstanceList, int[], boolean[], String, Pattern, Pattern, boolean) - Method in class cc.mallet.fst.HMM
Assumes that the HMM's output alphabet contains Strings.
addProbabilities(double[]) - Method in class cc.mallet.types.Multinomial.Logged
 
addProbabilitiesTo(double[]) - Method in class cc.mallet.types.Multinomial
 
addPrunedWordsToStoplist(SimpleTokenizer, int) - Method in class cc.mallet.pipe.FeatureCountPipe
Add all pruned words to the internal stoplist of a SimpleTokenizer.
addPrunedWordsToStoplist(SimpleTokenizer, double) - Method in class cc.mallet.pipe.FeatureDocFreqPipe
Add all pruned words to the internal stoplist of a SimpleTokenizer.
addRandomNodePotentials(Random, FactorGraph) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
addRow(Variable[], int[]) - Method in class cc.mallet.grmm.types.Assignment
 
addRow(Variable[], double[]) - Method in class cc.mallet.grmm.types.Assignment
 
addRow(Variable[], Object[]) - Method in class cc.mallet.grmm.types.Assignment
 
addRow(Object[]) - Method in class cc.mallet.grmm.types.Assignment
 
addRow(Assignment) - Method in class cc.mallet.grmm.types.Assignment
 
addSelfTransitioningStateForAllLabels(String) - Method in class cc.mallet.fst.CRF
 
addSelfTransitioningStateForAllLabels(String) - Method in class cc.mallet.fst.HMM
 
addSomeUnsupportedWeights(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
addStartState() - Method in class cc.mallet.fst.CRF
 
addStartState(String) - Method in class cc.mallet.fst.CRF
 
addStartState(int) - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
If there is a special start state in the CRF that is not included in the label set, then we need to add it here.
addState(String, double, double, String[], String[], String[][]) - Method in class cc.mallet.fst.CRF
 
addState(String, double, double, String[], String[], String[]) - Method in class cc.mallet.fst.CRF
 
addState(String, double, double, String[], String[]) - Method in class cc.mallet.fst.CRF
Default gives separate parameters to each transition.
addState(String, String[]) - Method in class cc.mallet.fst.CRF
Add a state with parameters equal zero, and labels on out-going arcs the same name as their destination state names.
addState(String, double, double, int[], int[], double[], String[]) - Method in class cc.mallet.fst.FeatureTransducer
 
addState(String, double, double, Object[], Object[], double[], String[]) - Method in class cc.mallet.fst.FeatureTransducer
 
addState(String, double, double, String[], String[]) - Method in class cc.mallet.fst.HMM
 
addState(String, String[]) - Method in class cc.mallet.fst.HMM
Add a state with parameters equal zero, and labels on out-going arcs the same name as their destination state names.
addState(String, String) - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Adds a state to the map.
addStatesForBiLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.CRF
Add states to create a second-order Markov model on labels, adding only those transitions the occur in the given trainingSet.
addStatesForBiLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.HMM
Add states to create a second-order Markov model on labels, adding only those transitions the occur in the given trainingSet.
addStatesForHalfLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.CRF
Add as many states as there are labels, but don't create separate weights for each source-destination pair of states.
addStatesForHalfLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.HMM
Add as many states as there are labels, but don't create separate weights for each source-destination pair of states.
addStatesForLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.CRF
Add states to create a first-order Markov model on labels, adding only those transitions the occur in the given trainingSet.
addStatesForLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.HMM
Add states to create a first-order Markov model on labels, adding only those transitions the occur in the given trainingSet.
addStatesForThreeQuarterLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.CRF
Add as many states as there are labels, but don't create separate observational-test-weights for each source-destination pair of states---instead have all the incoming transitions to a state share the same observational-feature-test weights.
addStatesForThreeQuarterLabelsConnectedAsIn(InstanceList) - Method in class cc.mallet.fst.HMM
Add as many states as there are labels, but don't create separate observational-test-weights for each source-destination pair of states---instead have all the incoming transitions to a state share the same observational-feature-test weights.
addStopWords(String[]) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
addStopWords(File) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
Add whitespace-separated tokens in file "wordlist" to the stoplist.
addThruPipe(Iterator<Instance>) - Method in class cc.mallet.types.InstanceList
Adds to this list every instance generated by the iterator, passing each one through this InstanceList's pipe.
addThruPipe(Instance) - Method in class cc.mallet.types.InstanceList
Adds the input instance to this list, after passing it through the InstanceList's pipe.
addTo(double[], double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
addTo(double[]) - Method in class cc.mallet.types.AugmentableFeatureVector
 
addTo(double[]) - Method in class cc.mallet.types.DenseVector
 
addTo(double[], double) - Method in class cc.mallet.types.DenseVector
 
addTo(AugmentableFeatureVector, double, FeatureSelection) - Method in class cc.mallet.types.FeatureConjunction
 
addTo(AugmentableFeatureVector, double) - Method in class cc.mallet.types.FeatureConjunction
 
addTo(AugmentableFeatureVector) - Method in class cc.mallet.types.FeatureConjunction
 
addTo(AugmentableFeatureVector, double, FeatureSelection) - Method in class cc.mallet.types.FeatureConjunction.List
 
addTo(AugmentableFeatureVector, double) - Method in class cc.mallet.types.FeatureConjunction.List
 
addTo(double[]) - Method in class cc.mallet.types.Label
 
addTo(double[], double) - Method in class cc.mallet.types.Label
 
addTo(double[]) - Method in interface cc.mallet.types.Labeling
 
addTo(double[], double) - Method in interface cc.mallet.types.Labeling
 
addTo(double[], double) - Method in class cc.mallet.types.SparseVector
 
addTo(double[]) - Method in class cc.mallet.types.SparseVector
 
addToTopicScore(int, double) - Method in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
addTrial(Trial, String) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
 
addTrial(Trial, int, String) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
 
addWeight(int, String) - Method in class cc.mallet.fst.CRF.State
 
advance() - Method in interface cc.mallet.grmm.types.AssignmentIterator
 
afterFactorAdd(Factor) - Method in class cc.mallet.grmm.types.DirectedModel
 
afterFactorAdd(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
Performs operations on a factor after it has been added to the model, such as caching.
AgglomerativeNeighbor - Class in cc.mallet.cluster.neighbor_evaluator
A Neighbor created by merging two clusters of the original Clustering.
AgglomerativeNeighbor(Clustering, Clustering, int[][]) - Constructor for class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
 
AgglomerativeNeighbor(Clustering, Clustering, int[], int[]) - Constructor for class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
 
AgglomerativeNeighbor(Clustering, Clustering, int, int) - Constructor for class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
 
AGIS - Class in cc.mallet.optimize
 
AGIS(Optimizable.ByGISUpdate, double) - Constructor for class cc.mallet.optimize.AGIS
 
AGIS(Optimizable.ByGISUpdate, double, boolean) - Constructor for class cc.mallet.optimize.AGIS
 
algorithms - Variable in class cc.mallet.grmm.test.TestInference
 
ALL_DIRECTORIES - Static variable in class cc.mallet.pipe.iterator.FileIterator
Use as label names all the directory names in the filename.
ALL_DIRECTORIES - Static variable in class cc.mallet.pipe.iterator.FileListIterator
Use as label names all the directory names in the filename.
ALL_DIRECTORIES - Static variable in class cc.mallet.pipe.iterator.UnlabeledFileIterator
Use as label names all the directory names in the filename.
allAlgs - Variable in class cc.mallet.grmm.test.TestInference
 
allFactorsContaining(Collection) - Method in class cc.mallet.grmm.types.FactorGraph
Returns a collection of all factors that involve only the given variables.
allFactorsContaining(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
 
allFactorsOf(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns a list of all factors in the graph whose domain is exactly the specified var.
allFactorsOf(Collection) - Method in class cc.mallet.grmm.types.FactorGraph
Returns a list of all factors in the graph whose domain is exactly the specified Collection of Variables.
allL1MarginalDistance(FactorGraph, Inferencer, Inferencer) - Static method in class cc.mallet.grmm.inference.Utils
 
AllPairsIterator - Class in cc.mallet.cluster.iterator
Iterate over all pairs of Instances.
AllPairsIterator(Clustering) - Constructor for class cc.mallet.cluster.iterator.AllPairsIterator
 
almostEquals(Factor) - Method in class cc.mallet.grmm.types.AbstractFactor
 
almostEquals(Factor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.Assignment
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.BetaFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.ConstantFactor
 
almostEquals(Factor) - Method in class cc.mallet.grmm.types.CPT
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.CPT
 
almostEquals(Factor) - Method in interface cc.mallet.grmm.types.Factor
Returns whether this is almost equal to another potential.
almostEquals(Factor, double) - Method in interface cc.mallet.grmm.types.Factor
 
almostEquals(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.FactorGraph
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.NormalFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.SkeletonFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.UniformFactor
 
almostEquals(Factor, double) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
almostEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
almostEquals(double, double) - Static method in class cc.mallet.util.Maths
 
almostEquals(double, double, double) - Static method in class cc.mallet.util.Maths
 
almostEquals(double[], double[], double) - Static method in class cc.mallet.util.Maths
 
alpha - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice.LatticeNode
 
alpha - Variable in class cc.mallet.fst.semi_supervised.GELattice.LatticeNode
 
alpha - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
alpha - Variable in class cc.mallet.topics.MarginalProbEstimator
 
alpha - Variable in class cc.mallet.topics.NPTopicModel
 
alpha - Variable in class cc.mallet.topics.ParallelTopicModel
 
alpha - Variable in class cc.mallet.topics.PolylingualTopicModel
 
alpha - Variable in class cc.mallet.topics.SimpleLDA
 
alpha - Variable in class cc.mallet.topics.TopicInferencer
 
alpha - Variable in class cc.mallet.topics.WorkerRunnable
 
alpha(int) - Method in class cc.mallet.types.Dirichlet
 
alphabet - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
alphabet - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
alphabet - Variable in class cc.mallet.topics.NPTopicModel
 
alphabet - Variable in class cc.mallet.topics.ParallelTopicModel
 
alphabet - Variable in class cc.mallet.topics.SimpleLDA
 
Alphabet - Class in cc.mallet.types
A mapping between integers and objects where the mapping in each direction is efficient.
Alphabet(int, Class) - Constructor for class cc.mallet.types.Alphabet
 
Alphabet(Class) - Constructor for class cc.mallet.types.Alphabet
 
Alphabet(int) - Constructor for class cc.mallet.types.Alphabet
 
Alphabet() - Constructor for class cc.mallet.types.Alphabet
 
Alphabet(Object[]) - Constructor for class cc.mallet.types.Alphabet
 
AlphabetCarrying - Interface in cc.mallet.types
An interface for objects that contain one or more Alphabets.
AlphabetFactory - Class in cc.mallet.types
 
AlphabetFactory() - Constructor for class cc.mallet.types.AlphabetFactory
 
alphabetOfSize(int) - Static method in class cc.mallet.types.AlphabetFactory
Create a dummy alphabet with n dimensions
alphabets - Variable in class cc.mallet.topics.PolylingualTopicModel
 
alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.classify.Classifier
 
alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.classify.NaiveBayesTrainer
 
alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.pipe.Pipe
 
alphabetsMatch(AlphabetCarrying, AlphabetCarrying) - Static method in class cc.mallet.types.Alphabet
Convenience method that can often implement alphabetsMatch in classes that implement the AlphabetsCarrying interface.
alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.types.FeatureSequence
 
alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.types.FeatureVector
 
alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.types.Instance
 
alphaSum - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
alphaSum - Variable in class cc.mallet.topics.MarginalProbEstimator
 
alphaSum - Variable in class cc.mallet.topics.ParallelTopicModel
 
alphaSum - Variable in class cc.mallet.topics.PolylingualTopicModel
 
alphaSum - Variable in class cc.mallet.topics.SimpleLDA
 
alphaSum - Variable in class cc.mallet.topics.WorkerRunnable
 
any(TDoubleProcedure, double[]) - Static method in class cc.mallet.util.ArrayUtils
Returns true if the procedure proc returns true for any element of the array v.
any(TObjectProcedure, Object[][]) - Static method in class cc.mallet.util.ArrayUtils
Returns true if the procedure proc returns true for any element of the array v.
append(double[], double) - Static method in class cc.mallet.types.MatrixOps
 
append(int[], int[]) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array that is the concatenation of a1 and a2.
append(double[], double[]) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array that is the concatenation of a1 and a2.
append(int[], int) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array with a single element appended at the end.
append(boolean[], boolean) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array with a single element appended at the end.
append(Object[], Object) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array with a single element appended at the end.
append(PropertyList) - Method in class cc.mallet.util.PropertyList
 
apply(Transducer, Sequence, int) - Static method in class cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints
Apply a transducer to an input sequence to produce the k highest-scoring output sequences.
apply(Transducer, Sequence, int) - Static method in class cc.mallet.fst.SimpleTagger
Apply a transducer to an input sequence to produce the k highest-scoring output sequences.
appxAlgs - Variable in class cc.mallet.grmm.test.TestInference
 
argmax() - Method in class cc.mallet.grmm.types.AbstractFactor
 
argmax() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
argmax() - Method in class cc.mallet.grmm.types.CPT
 
argmax() - Method in interface cc.mallet.grmm.types.Factor
Returns the assignment that maximizes this potential.
argmax() - Method in class cc.mallet.grmm.types.FactorGraph
 
argmax(double[]) - Static method in class cc.mallet.util.ArrayUtils
 
argmax(TObjectDoubleHashMap) - Static method in class cc.mallet.util.CollectionUtils
Returns the key in map that has the greatest score
Array2FeatureVector - Class in cc.mallet.pipe
Converts a Java array of numerical types to a FeatureVector, where the Alphabet is the data array index wrapped in an Integer object.
Array2FeatureVector(int) - Constructor for class cc.mallet.pipe.Array2FeatureVector
 
Array2FeatureVector() - Constructor for class cc.mallet.pipe.Array2FeatureVector
 
Array2FeatureVector(Alphabet, Alphabet) - Constructor for class cc.mallet.pipe.Array2FeatureVector
Construct a pipe based on the dimensions of the data and target.
arrayCopyFrom(int, Matrix) - Method in class cc.mallet.types.DenseVector
 
arrayCopyFrom(double[]) - Method in class cc.mallet.types.DenseVector
Copy values from an array into this vector.
arrayCopyFrom(double[], int) - Method in class cc.mallet.types.DenseVector
Copy values from an array starting at a particular index into this vector.
arrayCopyFrom(double[], int) - Method in class cc.mallet.types.Matrix2
Deprecated.  
arrayCopyFrom(double[]) - Method in class cc.mallet.types.SparseVector
Copy values from an array into this vector.
arrayCopyFrom(double[], int) - Method in class cc.mallet.types.SparseVector
Copy values from an array starting at a particular location into this vector.
arrayCopyInto(double[], int) - Method in class cc.mallet.types.DenseVector
Copy the contents of this vector into an array starting at a particular index.
arrayCopyInto(double[], int) - Method in class cc.mallet.types.Matrix2
Deprecated.  
arrayCopyInto(double[], int) - Method in class cc.mallet.types.SparseVector
Copy the contents of this vector into an array starting at a particular location.
arrayCopyTo(int, Matrix) - Method in class cc.mallet.types.DenseVector
 
arrayCopyTo(int, double[]) - Method in class cc.mallet.types.DenseVector
 
ArrayDataAndTargetIterator - Class in cc.mallet.pipe.iterator
 
ArrayDataAndTargetIterator(List, List) - Constructor for class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
 
ArrayDataAndTargetIterator(Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
 
ArrayIterator - Class in cc.mallet.pipe.iterator
 
ArrayIterator(List, Object) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
 
ArrayIterator(List) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
 
ArrayIterator(Object[], Object) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
 
ArrayIterator(Object[]) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
 
ArrayListSequence<E> - Class in cc.mallet.types
 
ArrayListSequence() - Constructor for class cc.mallet.types.ArrayListSequence
 
ArrayListUtils - Class in cc.mallet.util
 
ArrayListUtils() - Constructor for class cc.mallet.util.ArrayListUtils
 
ArraySequence<E> - Class in cc.mallet.types
 
ArraySequence(ArrayList<E>) - Constructor for class cc.mallet.types.ArraySequence
 
ArraySequence(E[], boolean) - Constructor for class cc.mallet.types.ArraySequence
 
ArraySequence(E[]) - Constructor for class cc.mallet.types.ArraySequence
 
ArraySequence(Sequence<E>, boolean) - Constructor for class cc.mallet.types.ArraySequence
 
ArrayUtils - Class in cc.mallet.util
Static utility methods for arrays (like java.util.Arrays, but more useful).
asFactor(Inferencer) - Static method in class cc.mallet.grmm.types.Factors
Adapter that allows an Inferencer to be treated as if it were a factor.
asJavaRandom() - Method in class cc.mallet.util.Randoms
Deprecated. 
asList() - Method in class cc.mallet.grmm.types.Assignment
Returns a list of single-row assignments, one for each row in this assignment.
assertNotNaN() - Method in class cc.mallet.fst.CRF.Factors
 
assertNotNaNOrInfinite() - Method in class cc.mallet.fst.CRF.Factors
 
assignedVertexPtls - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
Assignment - Class in cc.mallet.grmm.types
An assignment to a bunch of variables.
Assignment() - Constructor for class cc.mallet.grmm.types.Assignment
Creates an empty assignment.
Assignment(Variable, int) - Constructor for class cc.mallet.grmm.types.Assignment
 
Assignment(Variable, double) - Constructor for class cc.mallet.grmm.types.Assignment
 
Assignment(Variable[], int[]) - Constructor for class cc.mallet.grmm.types.Assignment
Creates an assignemnt for the given variables.
Assignment(Variable[], double[]) - Constructor for class cc.mallet.grmm.types.Assignment
Creates an assignemnt for the given variables.
Assignment(List, int[]) - Constructor for class cc.mallet.grmm.types.Assignment
Creates an assignemnt for the given variables.
Assignment(FactorGraph, int[]) - Constructor for class cc.mallet.grmm.types.Assignment
Creates an assignment over all Variables in a model.
assignment() - Method in interface cc.mallet.grmm.types.AssignmentIterator
 
assignmentIterator() - Method in class cc.mallet.grmm.types.AbstractFactor
 
assignmentIterator() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
AssignmentIterator - Interface in cc.mallet.grmm.types
Iterates over the assignments to a set of variables.
assignmentIterator() - Method in class cc.mallet.grmm.types.BitVarSet
 
assignmentIterator() - Method in class cc.mallet.grmm.types.CPT
 
assignmentIterator() - Method in interface cc.mallet.grmm.types.Factor
Returns an iterator over all Assignmentss to this potential.
assignmentIterator() - Method in class cc.mallet.grmm.types.FactorGraph
Returns an iterator over all assignments to all variables of this graphical model.
assignmentIterator() - Method in class cc.mallet.grmm.types.HashVarSet
 
assignmentIterator() - Method in class cc.mallet.grmm.types.ListVarSet
 
assignmentIterator() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
assignmentIterator() - Method in interface cc.mallet.grmm.types.VarSet
Returns an iterator over the assignments to this clique.
asTable() - Method in class cc.mallet.grmm.types.AbstractFactor
 
asTable() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
asTable() - Method in class cc.mallet.grmm.types.Assignment
 
asTable() - Method in class cc.mallet.grmm.types.CPT
 
asTable() - Method in interface cc.mallet.grmm.types.Factor
 
asTable() - Method in class cc.mallet.grmm.types.FactorGraph
 
AStar - Class in cc.mallet.util.search
Created by IntelliJ IDEA.
AStar(AStarState[], int) - Constructor for class cc.mallet.util.search.AStar
Create an A* search iterator starting from the given initial states.
AStarNode - Class in cc.mallet.util.search
Created by IntelliJ IDEA.
AStarNode(AStarState, AStarNode, double) - Constructor for class cc.mallet.util.search.AStarNode
Create an A* search node with given state, parent, and cost.
AStarNode.NextNodeIterator - Class in cc.mallet.util.search
Iterator over new A* search nodes generated by state transitions from this node's state.
AStarNode.NextNodeIterator() - Constructor for class cc.mallet.util.search.AStarNode.NextNodeIterator
 
AStarState - Interface in cc.mallet.util.search
Created by IntelliJ IDEA.
AugmentableFeatureVector - Class in cc.mallet.types
 
AugmentableFeatureVector(Alphabet, int[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
To make a binary vector, pass null for "values"
AugmentableFeatureVector(Alphabet, int[], double[], int, boolean, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, int[], double[], int, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, int[], double[], int) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, double[], int) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, int, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(FeatureVector) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(FeatureSequence, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, PropertyList, boolean, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVector(Alphabet, PropertyList, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
 
AugmentableFeatureVectorAddConjunctions - Class in cc.mallet.pipe
Add specified conjunctions to each instance.
AugmentableFeatureVectorAddConjunctions() - Constructor for class cc.mallet.pipe.AugmentableFeatureVectorAddConjunctions
 
AugmentableFeatureVectorLogScale - Class in cc.mallet.pipe
Given an AugmentableFeatureVector, set those values greater than or equal to 1 to log(value)+1.
AugmentableFeatureVectorLogScale() - Constructor for class cc.mallet.pipe.AugmentableFeatureVectorLogScale
 
auxModel - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
average(Factor, Factor, double) - Static method in class cc.mallet.grmm.types.Factors
 
averageMessages(RegionGraph, MessageArray, MessageArray, double) - Method in class cc.mallet.grmm.inference.gbp.FullMessageStrategy
 
averageMessages(RegionGraph, MessageArray, MessageArray, double) - Method in interface cc.mallet.grmm.inference.gbp.MessageStrategy
 
averageMessages(RegionGraph, MessageArray, MessageArray, double) - Method in class cc.mallet.grmm.inference.gbp.SparseMessageSender
 
averageTokenAccuracy(InstanceList) - Method in class cc.mallet.fst.Transducer
Runs inference across all the instances and returns the average token accuracy.
avgL1MarginalDistance(FactorGraph, Inferencer, Inferencer) - Static method in class cc.mallet.grmm.inference.Utils
 

B

BackTrackLineSearch - Class in cc.mallet.optimize
 
BackTrackLineSearch(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.BackTrackLineSearch
 
backwardLattice(double[][], double[][][]) - Method in class cc.mallet.fst.semi_supervised.EntropyLattice
Computes the backward entropies (H^beta).
BaggingClassifier - Class in cc.mallet.classify
 
BaggingClassifier(Pipe, Classifier[]) - Constructor for class cc.mallet.classify.BaggingClassifier
 
BaggingTrainer - Class in cc.mallet.classify
Bagging Trainer.
BaggingTrainer(ClassifierTrainer.Factory, int) - Constructor for class cc.mallet.classify.BaggingTrainer
 
BaggingTrainer(ClassifierTrainer.Factory) - Constructor for class cc.mallet.classify.BaggingTrainer
 
BalancedWinnow - Class in cc.mallet.classify
Classification methods of BalancedWinnow algorithm.
BalancedWinnow(Pipe, double[][]) - Constructor for class cc.mallet.classify.BalancedWinnow
Passes along data pipe and weights from BalancedWinnowTrainer
BalancedWinnowTrainer - Class in cc.mallet.classify
An implementation of the training methods of a BalancedWinnow on-line classifier.
BalancedWinnowTrainer() - Constructor for class cc.mallet.classify.BalancedWinnowTrainer
Default constructor.
BalancedWinnowTrainer(double, double, int, double) - Constructor for class cc.mallet.classify.BalancedWinnowTrainer
 
bandCholesky(double[], int) - Static method in class cc.mallet.util.MVNormal
 
bandMatrixRoot(int, int) - Static method in class cc.mallet.util.MVNormal
For testing band cholesky factorization
batchCachedGradient - Variable in class cc.mallet.fst.ThreadedOptimizable
Gradient obtained from the optimizable for each batch
batchCachedValue - Variable in class cc.mallet.fst.ThreadedOptimizable
Value obtained from the optimizable for each batch
batchTest(InstanceList, List<Sequence>, String, PrintStream) - Method in class cc.mallet.fst.MultiSegmentationEvaluator
Tests segmentation using an ArrayList of predicted Sequences instead of a Transducer.
BCubedEvaluator - Class in cc.mallet.cluster.evaluate
Evaluate a Clustering using the B-Cubed evaluation metric.
BCubedEvaluator() - Constructor for class cc.mallet.cluster.evaluate.BCubedEvaluator
 
beamWidth - Static variable in class cc.mallet.fst.SumLatticeBeam
 
beforeFactorAdd(Factor) - Method in class cc.mallet.grmm.types.DirectedModel
 
beforeFactorAdd(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
Performs checking of a factor before it is added to the model.
bestAssignment() - Method in class cc.mallet.grmm.inference.TRP
 
bestAssignment(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF
 
bestAssignment(Instance) - Method in class cc.mallet.grmm.learning.ACRF
 
bestAssignment(FactorGraph, Inferencer) - Static method in class cc.mallet.grmm.util.Models
Returns the highest-score Assignment in a model according to a given inferencer.
bestLabelIsCorrect() - Method in class cc.mallet.classify.Classification
 
bestOutputAlignment() - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestOutputAlignments(int) - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestOutputSequence() - Method in interface cc.mallet.fst.MaxLattice
 
bestOutputSequence() - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestOutputSequences(int) - Method in interface cc.mallet.fst.MaxLattice
 
bestOutputSequences(int) - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestStateAlignment() - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestStateAlignments(int) - Method in class cc.mallet.fst.MaxLatticeDefault
Perform the backward pass of Viterbi, returning the n-best sequences of States.
bestStateSequence() - Method in interface cc.mallet.fst.MaxLattice
 
bestStateSequence() - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestStateSequences(int) - Method in interface cc.mallet.fst.MaxLattice
 
bestStateSequences(int) - Method in class cc.mallet.fst.MaxLatticeDefault
 
bestViterbiNodeSequences(int) - Method in class cc.mallet.fst.MaxLatticeDefault
Perform the backward pass of Viterbi, returning the n-best sequences of ViterbiNodes.
bestWeight() - Method in class cc.mallet.fst.MaxLatticeDefault
 
beta - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice.LatticeNode
 
beta - Variable in class cc.mallet.fst.semi_supervised.GELattice.LatticeNode
 
beta - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
beta - Variable in class cc.mallet.topics.MarginalProbEstimator
 
beta - Variable in class cc.mallet.topics.NPTopicModel
 
beta - Variable in class cc.mallet.topics.ParallelTopicModel
 
beta - Variable in class cc.mallet.topics.SimpleLDA
 
beta - Variable in class cc.mallet.topics.TopicInferencer
 
beta - Variable in class cc.mallet.topics.WorkerRunnable
 
beta(double, double) - Static method in class cc.mallet.util.Maths
 
BetaFactor - Class in cc.mallet.grmm.types
$Id: BetaFactor.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $
BetaFactor(Variable, double, double) - Constructor for class cc.mallet.grmm.types.BetaFactor
 
BetaFactor(Variable, double, double, double, double) - Constructor for class cc.mallet.grmm.types.BetaFactor
 
betainv(double, double, double) - Static method in class cc.mallet.util.StatFunctions
 
betas - Variable in class cc.mallet.topics.PolylingualTopicModel
 
betaSum - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
betaSum - Variable in class cc.mallet.topics.MarginalProbEstimator
 
betaSum - Variable in class cc.mallet.topics.NPTopicModel
 
betaSum - Variable in class cc.mallet.topics.ParallelTopicModel
 
betaSum - Variable in class cc.mallet.topics.SimpleLDA
 
betaSum - Variable in class cc.mallet.topics.TopicInferencer
 
betaSum - Variable in class cc.mallet.topics.WorkerRunnable
 
betaSums - Variable in class cc.mallet.topics.PolylingualTopicModel
 
between(double, double) - Method in class cc.mallet.util.Univariate
 
BidirectionalIntObjectMap - Class in cc.mallet.grmm.types
A mapping between integers and objects where the mapping in each direction is efficient.
BidirectionalIntObjectMap(int) - Constructor for class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
BidirectionalIntObjectMap() - Constructor for class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
BidirectionalIntObjectMap(BidirectionalIntObjectMap) - Constructor for class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
BINARY_COUNT - Static variable in class cc.mallet.pipe.tsf.CountMatches
 
BinaryUnaryFactor - Class in cc.mallet.grmm.types
A factor over a continuous variable theta and binary variables var.
BinaryUnaryFactor(Variable, Variable, Variable) - Constructor for class cc.mallet.grmm.types.BinaryUnaryFactor
 
BIOTokenizationFilter - Class in cc.mallet.extract
Created: Nov 12, 2004
BIOTokenizationFilter() - Constructor for class cc.mallet.extract.BIOTokenizationFilter
 
BIOTokenizationFilterWithTokenIndices - Class in cc.mallet.extract
 
BIOTokenizationFilterWithTokenIndices() - Constructor for class cc.mallet.extract.BIOTokenizationFilterWithTokenIndices
 
BitVarSet - Class in cc.mallet.grmm.types
A clique that uses very little time and memory based on the flyweight pattern.
BitVarSet(Universe, BitSet) - Constructor for class cc.mallet.grmm.types.BitVarSet
Creates a BitSet clique given an alphabet of Variables, and a bitset that says which variables in the alphabet to include in the clique.
BitVarSet(Universe, Collection) - Constructor for class cc.mallet.grmm.types.BitVarSet
 
BitVarSet(VarSet) - Constructor for class cc.mallet.grmm.types.BitVarSet
 
BoltzmannPairFactor - Class in cc.mallet.grmm.types
A factor over a continuous variable theta and binary variables var.
BoltzmannPairFactor(Variable, Variable, double) - Constructor for class cc.mallet.grmm.types.BoltzmannPairFactor
 
BoltzmannUnaryFactor - Class in cc.mallet.grmm.types
A factor over a continuous variable theta and binary variables var.
BoltzmannUnaryFactor(Variable, double) - Constructor for class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
Boostable - Interface in cc.mallet.classify
This interface is a tag indicating that the classifier attends to the InstanceList.getInstanceWeight() weights when training.
BPRegionGenerator - Class in cc.mallet.grmm.inference.gbp
Created: May 30, 2005
BPRegionGenerator() - Constructor for class cc.mallet.grmm.inference.gbp.BPRegionGenerator
 
BranchingPipe - Class in cc.mallet.pipe
Deprecated. 
BranchingPipe() - Constructor for class cc.mallet.pipe.BranchingPipe
Deprecated.  
BranchingPipe(Pipe[]) - Constructor for class cc.mallet.pipe.BranchingPipe
Deprecated.  
BranchingPipe(Collection<Pipe>) - Constructor for class cc.mallet.pipe.BranchingPipe
Deprecated.  
BruteForceInferencer - Class in cc.mallet.grmm.inference
Computes the joint of a GraphicalModel by brute-force calculation.
BruteForceInferencer() - Constructor for class cc.mallet.grmm.inference.BruteForceInferencer
 
BshInterpreter - Class in cc.mallet.util
 
BshInterpreter(String) - Constructor for class cc.mallet.util.BshInterpreter
 
BshInterpreter() - Constructor for class cc.mallet.util.BshInterpreter
 
buildInitialTypeTopicCounts() - Method in class cc.mallet.topics.ParallelTopicModel
 
buildJunctionTree(FactorGraph) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
Constructs a junction tree from a given factor graph.
buildLocalTypeTopicCounts() - Method in class cc.mallet.topics.WorkerRunnable
Once we have sampled the local counts, trash the "global" type topic counts and reuse the space to build a summary of the type topic counts specific to this worker's section of the corpus.
BulkLoader - Class in cc.mallet.util
This class reads through a single file, breaking each line into data and (optional) name and label fields.
BulkLoader() - Constructor for class cc.mallet.util.BulkLoader
 
burninPeriod - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
burninPeriod - Variable in class cc.mallet.topics.ParallelTopicModel
 
burninPeriod - Variable in class cc.mallet.topics.PolylingualTopicModel
 
BY_EDGE - Static variable in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer
Use per-edge structured pseudolikelihood.
BY_VARIABLE - Static variable in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer
Use per-variable pseudolikelihood.

C

C45 - Class in cc.mallet.classify
A C4.5 Decision Tree classifier.
C45(Pipe, C45.Node) - Constructor for class cc.mallet.classify.C45
 
C45.Node - Class in cc.mallet.classify
 
C45.Node(InstanceList, C45.Node, int) - Constructor for class cc.mallet.classify.C45.Node
 
C45.Node(InstanceList, C45.Node, int, int[]) - Constructor for class cc.mallet.classify.C45.Node
 
C45Trainer - Class in cc.mallet.classify
A C4.5 decision tree learner, approximtely.
C45Trainer() - Constructor for class cc.mallet.classify.C45Trainer
Uses default values: not depth limited tree with a minimum of 2 instances in each leaf node
C45Trainer(int) - Constructor for class cc.mallet.classify.C45Trainer
Construct a depth-limited tree with the given depth limit
C45Trainer(boolean) - Constructor for class cc.mallet.classify.C45Trainer
 
C45Trainer(int, boolean) - Constructor for class cc.mallet.classify.C45Trainer
 
cache - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
cache - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
cache - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
cache - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
cache - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
cachedCoefficients - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
cachedCoefficients - Variable in class cc.mallet.topics.MarginalProbEstimator
 
cachedCoefficients - Variable in class cc.mallet.topics.WorkerRunnable
 
cachedDots - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
CachedDotTransitionIterator - Class in cc.mallet.fst.semi_supervised.pr
TransitionIterator that caches dot products.
CachedDotTransitionIterator(CRF.State, Sequence, int, String, double[]) - Constructor for class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
CachedDotTransitionIterator(CRF.State, Object, String, double[]) - Constructor for class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
cachedGradient - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
cachedGradient - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
cachedGradient - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
cachedGradient - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
cachedGradient - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
cachedGradient - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
cachedGradientChangeStamp - Variable in class cc.mallet.fst.CRFCacheStaleIndicator
 
cachedGradientWeightsStamp - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
CachedMetric - Interface in cc.mallet.types
Stores a hash for each object being compared for efficient computation.
cachedNumParametersStamp - Variable in class cc.mallet.fst.CRF
 
cacheDotProducts() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
cachedValue - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
cachedValue - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
cachedValue - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
cachedValue - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
cachedValue - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
cachedValue - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
cachedValueChangeStamp - Variable in class cc.mallet.fst.CRFCacheStaleIndicator
 
cachedValueWeightsStamp - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
cacheIndicator - Variable in class cc.mallet.fst.ThreadedOptimizable
 
cacheStale - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
cacheStale - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
CacheStaleIndicator - Interface in cc.mallet.fst
Indicates when the value/gradient during training becomes stale.
cacheValueAndGradient() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
CachingOptimizable - Class in cc.mallet.grmm.util
Created: Aug 27, 2004
CachingOptimizable() - Constructor for class cc.mallet.grmm.util.CachingOptimizable
 
CachingOptimizable.ByBatchGradient - Class in cc.mallet.grmm.util
 
CachingOptimizable.ByBatchGradient() - Constructor for class cc.mallet.grmm.util.CachingOptimizable.ByBatchGradient
 
CachingOptimizable.ByGradient - Class in cc.mallet.grmm.util
 
CachingOptimizable.ByGradient() - Constructor for class cc.mallet.grmm.util.CachingOptimizable.ByGradient
 
calcGainRatios(InstanceList, int[], int) - Static method in class cc.mallet.types.GainRatio
Calculates gain ratios for all (feature, split point) pairs snd returns array of:
calcPerLabelInfoGains(InstanceList) - Static method in class cc.mallet.types.PerLabelInfoGain
 
calculateNCRP(TObjectDoubleHashMap<HierarchicalLDA.NCRPNode>, HierarchicalLDA.NCRPNode, double) - Method in class cc.mallet.topics.HierarchicalLDA
 
calculateWordLikelihood(TObjectDoubleHashMap<HierarchicalLDA.NCRPNode>, HierarchicalLDA.NCRPNode, double, TIntIntHashMap[], double[], int, int) - Method in class cc.mallet.topics.HierarchicalLDA
 
callEvaluator(ACRF, InstanceList, InstanceList, InstanceList, int, ACRFEvaluator) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
Calo2Classify - Class in cc.mallet.classify.tui
Classify documents, run trials, print statistics from a vector file.
Calo2Classify() - Constructor for class cc.mallet.classify.tui.Calo2Classify
 
canIterateAllTransitions() - Method in class cc.mallet.fst.Transducer
Some transducers are "generative", meaning that you can get a sequence out of them without giving them an input sequence.
cardinality() - Method in class cc.mallet.types.FeatureSelection
 
cc.mallet.classify - package cc.mallet.classify
Classes for training and classifying instances.
cc.mallet.classify.constraints.ge - package cc.mallet.classify.constraints.ge
 
cc.mallet.classify.constraints.pr - package cc.mallet.classify.constraints.pr
 
cc.mallet.classify.evaluate - package cc.mallet.classify.evaluate
Classes for computing and displaying the quaility of a classification trial, including accuracy, precision, and confusion matrix.
cc.mallet.classify.examples - package cc.mallet.classify.examples
Example classes showing how to use classifiers.
cc.mallet.classify.tests - package cc.mallet.classify.tests
JUnit tests for classifiers
cc.mallet.classify.tui - package cc.mallet.classify.tui
Command line programs for document classification.
cc.mallet.cluster - package cc.mallet.cluster
Unsupervised clustering of Instance objects within an InstanceList.
cc.mallet.cluster.clustering_scorer - package cc.mallet.cluster.clustering_scorer
 
cc.mallet.cluster.evaluate - package cc.mallet.cluster.evaluate
 
cc.mallet.cluster.evaluate.tests - package cc.mallet.cluster.evaluate.tests
 
cc.mallet.cluster.examples - package cc.mallet.cluster.examples
 
cc.mallet.cluster.iterator - package cc.mallet.cluster.iterator
 
cc.mallet.cluster.iterator.tests - package cc.mallet.cluster.iterator.tests
 
cc.mallet.cluster.neighbor_evaluator - package cc.mallet.cluster.neighbor_evaluator
 
cc.mallet.cluster.tui - package cc.mallet.cluster.tui
 
cc.mallet.cluster.util - package cc.mallet.cluster.util
 
cc.mallet.examples - package cc.mallet.examples
 
cc.mallet.extract - package cc.mallet.extract
Unimplemented.
cc.mallet.extract.pipe - package cc.mallet.extract.pipe
 
cc.mallet.extract.test - package cc.mallet.extract.test
 
cc.mallet.fst - package cc.mallet.fst
Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.confidence - package cc.mallet.fst.confidence
 
cc.mallet.fst.semi_supervised - package cc.mallet.fst.semi_supervised
 
cc.mallet.fst.semi_supervised.constraints - package cc.mallet.fst.semi_supervised.constraints
 
cc.mallet.fst.semi_supervised.pr - package cc.mallet.fst.semi_supervised.pr
 
cc.mallet.fst.semi_supervised.pr.constraints - package cc.mallet.fst.semi_supervised.pr.constraints
 
cc.mallet.fst.semi_supervised.tui - package cc.mallet.fst.semi_supervised.tui
 
cc.mallet.fst.tests - package cc.mallet.fst.tests
Tests for Transducers, including Conditional Random Fields (CRFs).
cc.mallet.grmm.examples - package cc.mallet.grmm.examples
 
cc.mallet.grmm.inference - package cc.mallet.grmm.inference
 
cc.mallet.grmm.inference.gbp - package cc.mallet.grmm.inference.gbp
 
cc.mallet.grmm.learning - package cc.mallet.grmm.learning
 
cc.mallet.grmm.learning.extract - package cc.mallet.grmm.learning.extract
 
cc.mallet.grmm.learning.templates - package cc.mallet.grmm.learning.templates
 
cc.mallet.grmm.test - package cc.mallet.grmm.test
 
cc.mallet.grmm.types - package cc.mallet.grmm.types
 
cc.mallet.grmm.util - package cc.mallet.grmm.util
 
cc.mallet.optimize - package cc.mallet.optimize
Classes for finding the maximum of a function.
cc.mallet.optimize.tests - package cc.mallet.optimize.tests
JUnit tests for maximize.
cc.mallet.pipe - package cc.mallet.pipe
Classes for processing arbitrary data into instances.
cc.mallet.pipe.iterator - package cc.mallet.pipe.iterator
Classes that generate instances from different kinds of input or data structures.
cc.mallet.pipe.iterator.tests - package cc.mallet.pipe.iterator.tests
 
cc.mallet.pipe.tests - package cc.mallet.pipe.tests
JUnit tests for pipes.
cc.mallet.pipe.tsf - package cc.mallet.pipe.tsf
TokenSequenceFeature Pipes.
cc.mallet.pipe.tsf.tests - package cc.mallet.pipe.tsf.tests
JUnit tests for TokenSequenceFeature Pipes.
cc.mallet.share.casutton.ner - package cc.mallet.share.casutton.ner
 
cc.mallet.share.mccallum.ner - package cc.mallet.share.mccallum.ner
Named entity recognizer.
cc.mallet.share.upenn - package cc.mallet.share.upenn
Utilities that currently include a command line wrapper for the maxent classifier.
cc.mallet.share.upenn.ner - package cc.mallet.share.upenn.ner
 
cc.mallet.share.weili.ner - package cc.mallet.share.weili.ner
 
cc.mallet.share.weili.ner.enron - package cc.mallet.share.weili.ner.enron
 
cc.mallet.topics - package cc.mallet.topics
 
cc.mallet.topics.tui - package cc.mallet.topics.tui
 
cc.mallet.types - package cc.mallet.types
Fundamental MALLET types, including FeatureVector, Instance, Label etc.
cc.mallet.types.tests - package cc.mallet.types.tests
JUnit tests for Fundamental MALLET types.
cc.mallet.util - package cc.mallet.util
Miscellaneous utilities including command line processing, math functions, lexing, logging.
cc.mallet.util.resources.wn - package cc.mallet.util.resources.wn
 
cc.mallet.util.search - package cc.mallet.util.search
 
cc.mallet.util.tests - package cc.mallet.util.tests
JUnit tests for the miscellaneous utilities.
CERTAIN_WEIGHT - Static variable in class cc.mallet.fst.Transducer
 
ChainedInstanceIterator - Class in cc.mallet.types
Deprecated. 
ChainedInstanceIterator(Iterator<Instance>, ChainedInstanceIterator) - Constructor for class cc.mallet.types.ChainedInstanceIterator
Deprecated. Both source and target may be null.
changePriority(QueueElement, double) - Method in class cc.mallet.util.search.MinHeap
 
changePriority(QueueElement, double) - Method in interface cc.mallet.util.search.PriorityQueue
Change the priority of queue element e to priority.
CharSequence2CharNGrams - Class in cc.mallet.pipe
Transform a character sequence into a token sequence of character N grams.
CharSequence2CharNGrams(int, boolean) - Constructor for class cc.mallet.pipe.CharSequence2CharNGrams
 
CharSequence2TokenSequence - Class in cc.mallet.pipe
Pipe that tokenizes a character sequence.
CharSequence2TokenSequence(CharSequenceLexer) - Constructor for class cc.mallet.pipe.CharSequence2TokenSequence
 
CharSequence2TokenSequence(String) - Constructor for class cc.mallet.pipe.CharSequence2TokenSequence
 
CharSequence2TokenSequence(Pattern) - Constructor for class cc.mallet.pipe.CharSequence2TokenSequence
 
CharSequence2TokenSequence() - Constructor for class cc.mallet.pipe.CharSequence2TokenSequence
 
CharSequenceArray2TokenSequence - Class in cc.mallet.pipe
Transform an array of character Sequences into a token sequence.
CharSequenceArray2TokenSequence() - Constructor for class cc.mallet.pipe.CharSequenceArray2TokenSequence
 
CharSequenceLexer - Class in cc.mallet.util
 
CharSequenceLexer() - Constructor for class cc.mallet.util.CharSequenceLexer
 
CharSequenceLexer(Pattern) - Constructor for class cc.mallet.util.CharSequenceLexer
 
CharSequenceLexer(String) - Constructor for class cc.mallet.util.CharSequenceLexer
 
CharSequenceLexer(CharSequence, Pattern) - Constructor for class cc.mallet.util.CharSequenceLexer
 
CharSequenceLexer(CharSequence, String) - Constructor for class cc.mallet.util.CharSequenceLexer
 
CharSequenceLowercase - Class in cc.mallet.pipe
Replace the data string with a lowercased version.
CharSequenceLowercase() - Constructor for class cc.mallet.pipe.CharSequenceLowercase
 
CharSequenceRemoveHTML - Class in cc.mallet.pipe
This pipe removes HTML from a CharSequence.
CharSequenceRemoveHTML() - Constructor for class cc.mallet.pipe.CharSequenceRemoveHTML
 
CharSequenceRemoveUUEncodedBlocks - Class in cc.mallet.pipe
 
CharSequenceRemoveUUEncodedBlocks() - Constructor for class cc.mallet.pipe.CharSequenceRemoveUUEncodedBlocks
 
CharSequenceReplace - Class in cc.mallet.pipe
Given a string, repeatedly look for matches of the regex, and replace the entire match with the given replacement string.
CharSequenceReplace(Pattern, String) - Constructor for class cc.mallet.pipe.CharSequenceReplace
 
CharSubsequence - Class in cc.mallet.pipe
Given a string, return only the portion of the string inside a regex parenthesized group.
CharSubsequence(Pattern, int) - Constructor for class cc.mallet.pipe.CharSubsequence
 
CharSubsequence(Pattern) - Constructor for class cc.mallet.pipe.CharSubsequence
 
check(ArrayList<GEConstraint>, double[][], double[][][], FeatureVectorSequence) - Method in class cc.mallet.fst.semi_supervised.GELattice
Verifies the correctness of the lattice computations.
checkBreakeven(double) - Method in class cc.mallet.types.Dirichlet
 
checkWithinRange(double, double, double) - Static method in class cc.mallet.util.Maths
Checks if min <= value <= max.
cholesky(double[], int) - Static method in class cc.mallet.util.MVNormal
Simple Cholesky decomposition, with no checks on squareness, symmetricality, or positive definiteness.
Classification - Class in cc.mallet.classify
The result of classifying a single instance.
Classification(Instance, Classifier, Labeling) - Constructor for class cc.mallet.classify.Classification
 
Classification2ConfidencePredictingFeatureVector - Class in cc.mallet.pipe
Pipe features from underlying classifier to the confidence prediction instance list
Classification2ConfidencePredictingFeatureVector() - Constructor for class cc.mallet.pipe.Classification2ConfidencePredictingFeatureVector
 
Classifier - Class in cc.mallet.classify
Abstract parent of all Classifiers.
Classifier() - Constructor for class cc.mallet.classify.Classifier
For serialization only.
Classifier(Pipe) - Constructor for class cc.mallet.classify.Classifier
 
classifier - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
Classifier2Info - Class in cc.mallet.classify.tui
Diagnostic facilities for a classifier.
Classifier2Info() - Constructor for class cc.mallet.classify.tui.Classifier2Info
 
ClassifierAccuracyEvaluator - Class in cc.mallet.classify
 
ClassifierAccuracyEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.classify.ClassifierAccuracyEvaluator
 
ClassifierAccuracyEvaluator(InstanceList, String) - Constructor for class cc.mallet.classify.ClassifierAccuracyEvaluator
 
ClassifierAccuracyEvaluator(InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.classify.ClassifierAccuracyEvaluator
 
ClassifierAccuracyEvaluator(InstanceList, String, InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.classify.ClassifierAccuracyEvaluator
 
ClassifierEnsemble - Class in cc.mallet.classify
Classifer for an ensemble of classifers, combined with learned weights.
ClassifierEnsemble(Classifier[], double[]) - Constructor for class cc.mallet.classify.ClassifierEnsemble
 
ClassifierEnsembleTrainer - Class in cc.mallet.classify
 
ClassifierEnsembleTrainer(Classifier[]) - Constructor for class cc.mallet.classify.ClassifierEnsembleTrainer
 
ClassifierEvaluator - Class in cc.mallet.classify
 
ClassifierEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.classify.ClassifierEvaluator
 
ClassifierEvaluator(InstanceList, String) - Constructor for class cc.mallet.classify.ClassifierEvaluator
 
ClassifierEvaluator(InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.classify.ClassifierEvaluator
 
ClassifierEvaluator(InstanceList, String, InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.classify.ClassifierEvaluator
 
ClassifierTrainer<C extends Classifier> - Class in cc.mallet.classify
Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data.
ClassifierTrainer() - Constructor for class cc.mallet.classify.ClassifierTrainer
 
ClassifierTrainer.ByActiveLearning<C extends Classifier> - Interface in cc.mallet.classify
For active learning, in which this trainer will select certain instances and request that the Labeler instance label them.
ClassifierTrainer.ByIncrements<C extends Classifier> - Interface in cc.mallet.classify
For various kinds of online learning by batches, where training instances are presented, consumed for learning immediately.
ClassifierTrainer.ByInstanceIncrements<C extends Classifier> - Interface in cc.mallet.classify
For online learning that can operate on one instance at a time.
ClassifierTrainer.ByOptimization<C extends Classifier> - Interface in cc.mallet.classify
 
ClassifierTrainer.Factory<CT extends ClassifierTrainer<? extends Classifier>> - Class in cc.mallet.classify
Instances of a Factory know how to create new ClassifierTrainers to apply to new Classifiers.
ClassifierTrainer.Factory() - Constructor for class cc.mallet.classify.ClassifierTrainer.Factory
 
classify(Instance) - Method in class cc.mallet.classify.AdaBoost
 
classify(Instance, int) - Method in class cc.mallet.classify.AdaBoost
Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
classify(Instance) - Method in class cc.mallet.classify.AdaBoostM2
 
classify(Instance, int) - Method in class cc.mallet.classify.AdaBoostM2
Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
classify(Instance) - Method in class cc.mallet.classify.BaggingClassifier
 
classify(Instance) - Method in class cc.mallet.classify.BalancedWinnow
Classifies an instance using BalancedWinnow's weights
classify(Instance) - Method in class cc.mallet.classify.C45
 
classify(InstanceList) - Method in class cc.mallet.classify.Classifier
 
classify(Instance[]) - Method in class cc.mallet.classify.Classifier
 
classify(Instance) - Method in class cc.mallet.classify.Classifier
 
classify(Object) - Method in class cc.mallet.classify.Classifier
Pipe the object through this classifier's pipe, then classify the resulting instance.
classify(Instance) - Method in class cc.mallet.classify.ClassifierEnsemble
 
classify(Instance) - Method in class cc.mallet.classify.ConfidencePredictingClassifier
 
classify(Instance) - Method in class cc.mallet.classify.DecisionTree
 
classify(Instance) - Method in class cc.mallet.classify.MaxEnt
 
classify(Instance) - Method in class cc.mallet.classify.MCMaxEnt
 
classify(Instance) - Method in class cc.mallet.classify.NaiveBayes
Classify an instance using NaiveBayes according to the trained data.
classify(Instance) - Method in class cc.mallet.classify.PRAuxClassifier
 
classify(Instance) - Method in class cc.mallet.classify.RankMaxEnt
 
classify(Instance) - Method in class cc.mallet.classify.Winnow
Classifies an instance using Winnow's weights
classify(Instance) - Method in class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
 
classify(Instance, boolean) - Method in class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
 
classify(Classifier, String[]) - Static method in class cc.mallet.share.upenn.MaxEntShell
Compute the maxent classification of an instance.
classify(Classifier, String[][]) - Static method in class cc.mallet.share.upenn.MaxEntShell
Compute the maxent classifications of an array of instances
classify(Classifier, Iterator<Instance>) - Static method in class cc.mallet.share.upenn.MaxEntShell
Compute the maxent classifications for unlabeled instances given by an iterator.
ClassifyingNeighborEvaluator - Class in cc.mallet.cluster.neighbor_evaluator
A NeighborEvaluator that is backed by a Classifier.
ClassifyingNeighborEvaluator(Classifier, String) - Constructor for class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
 
classShortName(Object) - Static method in class cc.mallet.grmm.util.GeneralUtils
 
cleanFields(FieldCleaner) - Method in class cc.mallet.extract.Extraction
 
cleanFieldValue(String) - Method in interface cc.mallet.extract.FieldCleaner
Returns a post-processed version of a field.
cleanFieldValue(String) - Method in class cc.mallet.extract.RegexFieldCleaner
 
clear() - Method in class cc.mallet.grmm.types.BitVarSet
 
clear() - Method in class cc.mallet.grmm.types.FactorGraph
Removes all potentias from this model.
clear() - Method in class cc.mallet.grmm.types.HashVarSet
 
clear() - Method in class cc.mallet.grmm.types.ListVarSet
 
clear() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
clear() - Method in class cc.mallet.grmm.util.CSIntInt2ObjectMultiMap
 
clear() - Method in class cc.mallet.types.CrossValidationIterator
Calls clear on each fold.
clear() - Method in class cc.mallet.types.InstanceList
 
clear() - Method in class cc.mallet.types.MultiInstanceList
 
clear() - Method in class cc.mallet.types.PagedInstanceList
 
clearSource() - Method in class cc.mallet.types.Instance
 
clone() - Method in class cc.mallet.grmm.inference.TRP
 
clone() - Method in class cc.mallet.grmm.inference.TRP.ConvergenceTerminator
 
clone() - Method in class cc.mallet.grmm.inference.TRP.DefaultConvergenceTerminator
 
clone() - Method in class cc.mallet.grmm.inference.TRP.IterationTerminator
 
clone() - Method in interface cc.mallet.grmm.inference.TRP.TerminationCondition
 
clone() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
clone() - Method in class cc.mallet.grmm.types.HashVarSet
 
clone() - Method in class cc.mallet.types.Alphabet
 
clone() - Method in class cc.mallet.types.FeatureSelection
 
clone() - Method in class cc.mallet.types.Instance
 
clone() - Method in class cc.mallet.types.InstanceList
 
clone() - Method in class cc.mallet.types.Matrixn
 
clone() - Method in class cc.mallet.types.MultiInstanceList
 
clone() - Method in class cc.mallet.types.Multinomial.Estimator
 
clone() - Method in class cc.mallet.types.SparseMatrixn
 
clone() - Method in class cc.mallet.util.DoubleList
 
cloneDoubleList() - Method in class cc.mallet.util.DoubleList
 
cloneEmpty() - Method in class cc.mallet.types.InstanceList
 
cloneEmpty() - Method in class cc.mallet.types.MultiInstanceList
 
cloneEmpty() - Method in class cc.mallet.types.PagedInstanceList
 
cloneEmptyInto(InstanceList) - Method in class cc.mallet.types.InstanceList
 
cloneEmptyInto(InstanceList) - Method in class cc.mallet.types.MultiInstanceList
 
cloneMatrix() - Method in class cc.mallet.types.AugmentableFeatureVector
 
cloneMatrix() - Method in interface cc.mallet.types.ConstantMatrix
 
cloneMatrix() - Method in class cc.mallet.types.DenseMatrix
 
cloneMatrix() - Method in class cc.mallet.types.DenseVector
 
cloneMatrix() - Method in class cc.mallet.types.FeatureVector
 
cloneMatrix() - Method in class cc.mallet.types.HashedSparseVector
 
cloneMatrix() - Method in class cc.mallet.types.IndexedSparseVector
 
cloneMatrix() - Method in class cc.mallet.types.Matrix2
Deprecated.  
cloneMatrix() - Method in class cc.mallet.types.Matrixn
 
cloneMatrix() - Method in class cc.mallet.types.SparseMatrixn
 
cloneMatrix() - Method in class cc.mallet.types.SparseVector
CLONING
cloneMatrix2() - Method in class cc.mallet.types.Matrix2
Deprecated.  
cloneMatrixZeroed() - Method in class cc.mallet.types.AugmentableFeatureVector
 
cloneMatrixZeroed() - Method in class cc.mallet.types.FeatureVector
 
cloneMatrixZeroed() - Method in class cc.mallet.types.HashedSparseVector
 
cloneMatrixZeroed() - Method in class cc.mallet.types.IndexedSparseVector
 
cloneMatrixZeroed() - Method in class cc.mallet.types.SparseVector
 
cloneViaSerialization(Serializable) - Static method in class cc.mallet.types.tests.TestSerializable
Clones a given object by serializing it to a byte array and reading it back.
cluster(InstanceList) - Method in class cc.mallet.cluster.Clusterer
Return a clustering of an InstanceList
cluster(InstanceList) - Method in class cc.mallet.cluster.HillClimbingClusterer
While not converged, calls improveClustering to modify the current predicted Clustering.
cluster(InstanceList, int, Clustering) - Method in class cc.mallet.cluster.HillClimbingClusterer
While not converged, call improveClustering to modify the current predicted Clustering.
cluster(InstanceList) - Method in class cc.mallet.cluster.KMeans
Cluster instances
Clusterer - Class in cc.mallet.cluster
An abstract class for clustering a set of points.
Clusterer(Pipe) - Constructor for class cc.mallet.cluster.Clusterer
Creates a new Clusterer instance.
Clustering - Class in cc.mallet.cluster
 
Clustering(InstanceList, int, int[]) - Constructor for class cc.mallet.cluster.Clustering
Clustering constructor.
clustering - Variable in class cc.mallet.cluster.iterator.NeighborIterator
 
ClusteringEvaluator - Class in cc.mallet.cluster.evaluate
Evaluates a predicted Clustering against a true Clustering.
ClusteringEvaluator() - Constructor for class cc.mallet.cluster.evaluate.ClusteringEvaluator
 
ClusteringEvaluators - Class in cc.mallet.cluster.evaluate
A list of ClusteringEvaluators.
ClusteringEvaluators(ClusteringEvaluator[]) - Constructor for class cc.mallet.cluster.evaluate.ClusteringEvaluators
 
Clusterings - Class in cc.mallet.cluster
 
Clusterings(Clustering[]) - Constructor for class cc.mallet.cluster.Clusterings
 
Clusterings2Clusterer - Class in cc.mallet.cluster.tui
 
Clusterings2Clusterer() - Constructor for class cc.mallet.cluster.tui.Clusterings2Clusterer
 
Clusterings2Clusterer.ClusteringPipe - Class in cc.mallet.cluster.tui
 
Clusterings2Clusterer.ClusteringPipe(int[], int[], int[]) - Constructor for class cc.mallet.cluster.tui.Clusterings2Clusterer.ClusteringPipe
 
Clusterings2Clusterings - Class in cc.mallet.cluster.tui
 
Clusterings2Clusterings() - Constructor for class cc.mallet.cluster.tui.Clusterings2Clusterings
 
Clusterings2Info - Class in cc.mallet.cluster.tui
 
Clusterings2Info() - Constructor for class cc.mallet.cluster.tui.Clusterings2Info
 
ClusteringScorer - Interface in cc.mallet.cluster.clustering_scorer
Assign a score to a Clustering.
clusterKBest(InstanceList, int) - Method in class cc.mallet.cluster.HillClimbingClusterer
 
clusterKBest(InstanceList, int, Clustering, int) - Method in class cc.mallet.cluster.HillClimbingClusterer
Return the K most recent solutions.
clusterKBest(InstanceList, int) - Method in class cc.mallet.cluster.KBestClusterer
 
clusterPotentials() - Method in class cc.mallet.grmm.inference.JunctionTree
Returns a collection of all the potentials of cliques in the junction tree.
ClusterSampleIterator - Class in cc.mallet.cluster.iterator
Sample clusters of Instances.
ClusterSampleIterator(Clustering, Randoms, double, int) - Constructor for class cc.mallet.cluster.iterator.ClusterSampleIterator
 
ClusterUtils - Class in cc.mallet.cluster.util
Utility functions for Clusterings.
ClusterUtils() - Constructor for class cc.mallet.cluster.util.ClusterUtils
 
ClusterVariationalRegionGenerator - Class in cc.mallet.grmm.inference.gbp
Created: Jun 1, 2005
ClusterVariationalRegionGenerator() - Constructor for class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator
 
ClusterVariationalRegionGenerator(ClusterVariationalRegionGenerator.BaseRegionComputer) - Constructor for class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator
 
ClusterVariationalRegionGenerator.BaseRegionComputer - Interface in cc.mallet.grmm.inference.gbp
 
ClusterVariationalRegionGenerator.ByFactorRegionComputer - Class in cc.mallet.grmm.inference.gbp
Region computer where each top-level region consists of a single factor node.
ClusterVariationalRegionGenerator.ByFactorRegionComputer() - Constructor for class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator.ByFactorRegionComputer
 
ClusterVariationalRegionGenerator.Grid2x2RegionComputer - Class in cc.mallet.grmm.inference.gbp
 
ClusterVariationalRegionGenerator.Grid2x2RegionComputer() - Constructor for class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator.Grid2x2RegionComputer
 
collectAlphaStatistics() - Method in class cc.mallet.topics.WorkerRunnable
 
collectConstraints(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
collectConstraints(InstanceList) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
collectConstraints(InstanceList) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
collectConstraints(InstanceList) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
collectDocumentStatistics() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
CollectionUtils - Class in cc.mallet.util
* Created: Sun Jan 25 01:04:29 2004
CollectionUtils.Fn - Interface in cc.mallet.util
 
color(int) - Method in class cc.mallet.classify.evaluate.Graph.Legend
 
ColorUtils - Class in cc.mallet.util
Utilities for dealing with RGB-style colors.
ColorUtils() - Constructor for class cc.mallet.util.ColorUtils
 
columnPlusEquals(int, double) - Method in class cc.mallet.types.DenseVector
 
columnPlusEquals(int, double) - Method in class cc.mallet.types.HashedSparseVector
 
columnPlusEquals(int, double) - Method in class cc.mallet.types.IndexedSparseVector
 
columnPlusEquals(int, Vector, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
columnPlusEquals(int, double, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
combine(double[]) - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Average
 
combine(double[]) - Method in interface cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.CombiningStrategy
 
combine(double[]) - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Maximum
 
combine(double[]) - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Minimum
 
combine(double[]) - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Average
 
combine(double[]) - Method in interface cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.CombiningStrategy
 
combine(double[]) - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Maximum
 
combine(double[]) - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Minimum
 
combineGradients(Collection<double[]>, double[]) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
Adds gradients from all batches.
combineGradients(Collection<double[]>, double[]) - Method in interface cc.mallet.optimize.Optimizable.ByCombiningBatchGradient
 
combineLists(InstanceList, InstanceList) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
CommandOption - Class in cc.mallet.util
 
CommandOption(Class, String, String, Class, boolean, String, String) - Constructor for class cc.mallet.util.CommandOption
 
CommandOption(Class, String, String, Class, boolean, String) - Constructor for class cc.mallet.util.CommandOption
Deprecated.  
CommandOption.Boolean - Class in cc.mallet.util
 
CommandOption.Boolean(Class, String, String, boolean, boolean, String, String) - Constructor for class cc.mallet.util.CommandOption.Boolean
 
CommandOption.Double - Class in cc.mallet.util
 
CommandOption.Double(Class, String, String, boolean, double, String, String) - Constructor for class cc.mallet.util.CommandOption.Double
 
CommandOption.DoubleArray - Class in cc.mallet.util
 
CommandOption.DoubleArray(Class, String, String, boolean, double[], String, String) - Constructor for class cc.mallet.util.CommandOption.DoubleArray
 
CommandOption.File - Class in cc.mallet.util
 
CommandOption.File(Class, String, String, boolean, File, String, String) - Constructor for class cc.mallet.util.CommandOption.File
 
CommandOption.Integer - Class in cc.mallet.util
 
CommandOption.Integer(Class, String, String, boolean, int, String, String) - Constructor for class cc.mallet.util.CommandOption.Integer
 
CommandOption.IntegerArray - Class in cc.mallet.util
 
CommandOption.IntegerArray(Class, String, String, boolean, int[], String, String) - Constructor for class cc.mallet.util.CommandOption.IntegerArray
 
CommandOption.List - Class in cc.mallet.util
 
CommandOption.List(String, CommandOption[]) - Constructor for class cc.mallet.util.CommandOption.List
 
CommandOption.ListProviding - Interface in cc.mallet.util
For objects that can provide CommandOption.List's (which can be merged into other lists.
CommandOption.Object - Class in cc.mallet.util
 
CommandOption.Object(Class, String, String, boolean, Object, String, String) - Constructor for class cc.mallet.util.CommandOption.Object
 
CommandOption.ObjectFromBean - Class in cc.mallet.util
 
CommandOption.ObjectFromBean(Class, String, String, boolean, Object, String, String) - Constructor for class cc.mallet.util.CommandOption.ObjectFromBean
 
CommandOption.Set - Class in cc.mallet.util
 
CommandOption.Set(Class, String, String, boolean, String[], int, String, String) - Constructor for class cc.mallet.util.CommandOption.Set
 
CommandOption.SpacedStrings - Class in cc.mallet.util
 
CommandOption.SpacedStrings(Class, String, String, boolean, String[], String, String) - Constructor for class cc.mallet.util.CommandOption.SpacedStrings
 
CommandOption.String - Class in cc.mallet.util
 
CommandOption.String(Class, String, String, boolean, String, String, String) - Constructor for class cc.mallet.util.CommandOption.String
 
commonPrefix(String[]) - Static method in class cc.mallet.util.Strings
 
commonPrefixIndex(String[]) - Static method in class cc.mallet.util.Strings
 
compact() - Method in class cc.mallet.grmm.inference.JunctionTree
 
compare(Object, Object) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage.ClassificationComparator
 
compare(double, int, int, int) - Static method in class cc.mallet.types.Dirichlet
 
compare(double) - Method in class cc.mallet.util.Univariate
 
compareTo(Object) - Method in class cc.mallet.fst.confidence.InstanceWithConfidence
 
compareTo(Object) - Method in class cc.mallet.fst.confidence.PipedInstanceWithConfidence
 
compareTo(Object) - Method in class cc.mallet.fst.Segment
 
compareTo(Object) - Method in class cc.mallet.grmm.types.Variable
 
compareTo(Object) - Method in class cc.mallet.types.IDSorter
 
compareTo(Object) - Method in class cc.mallet.types.Label
 
completionCost() - Method in class cc.mallet.util.search.AStarNode
Get the completion cost for the underlying state.
completionCost() - Method in interface cc.mallet.util.search.AStarState
Get the cost to completion.
computeAssignment(Assignment, VarSet) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
computeBaseRegions(FactorGraph) - Method in interface cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator.BaseRegionComputer
Returns a list of top-level regions for use in the cluster variational method.
computeBaseRegions(FactorGraph) - Method in class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator.ByFactorRegionComputer
 
computeBaseRegions(FactorGraph) - Method in class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator.Grid2x2RegionComputer
 
computeBatchGradient(double[], int, int[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByBatchGradient
 
computeBatchValue(int, int[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByBatchGradient
 
computeBin(FeatureVector) - Method in interface cc.mallet.grmm.learning.templates.SimilarTokensTemplate.FeatureVectorBinner
 
computeBin(FeatureVector) - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate.WordFeatureBinner
 
computeCostAndPrune() - Method in class cc.mallet.classify.C45.Node
 
computeCurrentResids() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
computeExpectations(FeatureVector, double[], double) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
computeExpectations(FeatureVector, double[], double) - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
Compute expectations using provided distribution over labels.
computeExpectations(FeatureVector, double[], double) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
computeExpectations(ArrayList<SumLattice>) - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
Compute expectations using cached lattices.
computeExpectations(ArrayList<SumLattice>) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
computeExpectations(ArrayList<SumLattice>) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
computeExpectations(ArrayList<SumLattice>) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
computeExpectations(ArrayList<SumLattice>) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
computeExpectations() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
Resets, computes and fills expectations from all instances, also updating the entropy value.
computeFactor(ACRF.UnrolledVarSet) - Method in class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
computeFactor(ACRF.UnrolledVarSet) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
computeLogLikelihood() - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
computeMarginals(JunctionTree) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
computeMarginals(FactorGraph) - Method in interface cc.mallet.grmm.inference.Inferencer
Computes marginal distributions for a factor graph.
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
computeMarginals(JunctionTree) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.LoopyBP
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.ResidualBP
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.SamplingInferencer
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.TreeBP
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.TRP
 
computeMarginals(FactorGraph) - Method in class cc.mallet.grmm.inference.VariableElimination
 
computeNormalizationFactor(FactorGraph) - Method in class cc.mallet.grmm.inference.VariableElimination
Computes the normalization constant for a model.
computeSizes(Factor) - Static method in class cc.mallet.grmm.types.Factors
 
computeTestResults(InstanceList, List) - Static method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.LogEvaluator
 
computeValue() - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
computeValue() - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
computeValue() - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
computeValue() - Method in class cc.mallet.grmm.util.CachingOptimizable.ByGradient
 
computeValueAndGradient(int) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
computeValueGradient(double[]) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
Computes the gradient of the penalized log likelihood of the ACRF, and places it in cachedGradient[].
computeValueGradient(double[]) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
Computes the gradient of the penalized log likelihood of the ACRF, and places it in cachedGradient[].
computeValueGradient(double[]) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
Computes the gradient of the penalized log likelihood of the ACRF, and places it in cachedGradient[].
computeValueGradient(double[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByGradient
 
computeVars(Factor) - Static method in class cc.mallet.grmm.types.Factors
 
ConcatenatedInstanceIterator - Class in cc.mallet.pipe.iterator
 
ConcatenatedInstanceIterator(Iterator<Instance>[]) - Constructor for class cc.mallet.pipe.iterator.ConcatenatedInstanceIterator
 
concatenatePipes(Pipe, Pipe) - Static method in class cc.mallet.pipe.PipeUtils
 
CONDITION_WW - Static variable in class cc.mallet.grmm.learning.PwplACRFTrainer
 
confidence() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
 
ConfidenceCorrectorEvaluator - Class in cc.mallet.fst.confidence
Calculates the effectiveness of "constrained viterbi" in propagating corrections in one segment of a sequence to other segments.
ConfidenceCorrectorEvaluator(Object[], Object[]) - Constructor for class cc.mallet.fst.confidence.ConfidenceCorrectorEvaluator
 
ConfidenceEvaluator - Class in cc.mallet.fst.confidence
 
ConfidenceEvaluator(Vector, int) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
 
ConfidenceEvaluator(Vector) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
 
ConfidenceEvaluator(Segment[], boolean) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
 
ConfidenceEvaluator(InstanceWithConfidence[], boolean) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
 
ConfidenceEvaluator(PipedInstanceWithConfidence[], boolean) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
 
ConfidenceEvaluator.EntityConfidence - Class in cc.mallet.fst.confidence
a simple class to store a confidence score and whether or not this labeling is correct
ConfidenceEvaluator.EntityConfidence(double, boolean, String) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
 
ConfidenceEvaluator.EntityConfidence(double, boolean, Sequence, int, int) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
 
ConfidencePredictingClassifier - Class in cc.mallet.classify
 
ConfidencePredictingClassifier(Classifier, Classifier) - Constructor for class cc.mallet.classify.ConfidencePredictingClassifier
 
ConfidencePredictingClassifierTrainer - Class in cc.mallet.classify
 
ConfidencePredictingClassifierTrainer(ClassifierTrainer, InstanceList, Pipe) - Constructor for class cc.mallet.classify.ConfidencePredictingClassifierTrainer
 
ConfidencePredictingClassifierTrainer(ClassifierTrainer, InstanceList) - Constructor for class cc.mallet.classify.ConfidencePredictingClassifierTrainer
 
ConfidenceTokenizationFilter - Class in cc.mallet.extract
Created: Oct 26, 2005
ConfidenceTokenizationFilter(ExtractionConfidenceEstimator, TokenizationFilter) - Constructor for class cc.mallet.extract.ConfidenceTokenizationFilter
 
confusion - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
ConfusionMatrix - Class in cc.mallet.classify.evaluate
Calculates and prints confusion matrix, accuracy, and precision for a given clasification trial.
ConfusionMatrix(Trial) - Constructor for class cc.mallet.classify.evaluate.ConfusionMatrix
Constructs matrix and calculates values
ConjugateGradient - Class in cc.mallet.optimize
 
ConjugateGradient(Optimizable.ByGradientValue, double) - Constructor for class cc.mallet.optimize.ConjugateGradient
 
ConjugateGradient(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.ConjugateGradient
 
ConllNer2003Sentence2TokenSequence - Class in cc.mallet.share.casutton.ner
Reads a data file in CoNLL 2003 format, and makes some simple transformations.
ConllNer2003Sentence2TokenSequence() - Constructor for class cc.mallet.share.casutton.ner.ConllNer2003Sentence2TokenSequence
 
ConllNer2003Sentence2TokenSequence(boolean, boolean) - Constructor for class cc.mallet.share.casutton.ner.ConllNer2003Sentence2TokenSequence
 
ConllNer2003Sentence2TokenSequence - Class in cc.mallet.share.mccallum.ner
 
ConllNer2003Sentence2TokenSequence() - Constructor for class cc.mallet.share.mccallum.ner.ConllNer2003Sentence2TokenSequence
 
ConllNer2003Sentence2TokenSequence(boolean) - Constructor for class cc.mallet.share.mccallum.ner.ConllNer2003Sentence2TokenSequence
 
constant(int[], double) - Static method in class cc.mallet.grmm.util.Matrices
 
ConstantFactor - Class in cc.mallet.grmm.types
$Id: ConstantFactor.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $
ConstantFactor(double) - Constructor for class cc.mallet.grmm.types.ConstantFactor
 
ConstantMatrix - Interface in cc.mallet.types
 
ConstrainedForwardBackwardConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of a Segment extracted by a Transducer by performing a "constrained lattice" calculation.
ConstrainedForwardBackwardConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.ConstrainedForwardBackwardConfidenceEstimator
 
ConstrainedViterbiTransducerCorrector - Class in cc.mallet.fst.confidence
Corrects a subset of the Segments produced by a Transducer.
ConstrainedViterbiTransducerCorrector(TransducerConfidenceEstimator, Transducer) - Constructor for class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
 
ConstrainedViterbiTransducerCorrector(Transducer) - Constructor for class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
 
constraintIndices - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
constraints - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
constraints - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
constraints - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
constraints - Variable in class cc.mallet.classify.MaxEntGERangeTrainer
 
constraints - Variable in class cc.mallet.classify.MaxEntGETrainer
 
constraints - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
constraints - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
constraints - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
constraints - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
constraints - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
constraints - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
constraints - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
constraints - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
constraints - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
constraintsFile - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
constraintsList - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
constraintsMap - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
ConstraintsOptimizableByPR - Class in cc.mallet.fst.semi_supervised.pr
Optimizable for E-step/I-projection in Posterior Regularization (PR).
ConstraintsOptimizableByPR(CRF, InstanceList, PRAuxiliaryModel) - Constructor for class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
ConstraintsOptimizableByPR(CRF, InstanceList, PRAuxiliaryModel, int) - Constructor for class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
constructLabeledSpans(LabelAlphabet, Object, Label, Tokenization, Sequence) - Method in class cc.mallet.extract.BIOTokenizationFilter
 
constructLabeledSpans(LabelAlphabet, Object, Label, Tokenization, Sequence) - Method in class cc.mallet.extract.ConfidenceTokenizationFilter
 
constructLabeledSpans(LabelAlphabet, Object, Label, Tokenization, Sequence) - Method in class cc.mallet.extract.DefaultTokenizationFilter
 
constructLabeledSpans(LabelAlphabet, Object, Label, Tokenization, Sequence) - Method in class cc.mallet.extract.HierarchicalTokenizationFilter
 
constructLabeledSpans(LabelAlphabet, Object, Label, Tokenization, Sequence) - Method in interface cc.mallet.extract.TokenizationFilter
Converts a the sequence of labels into a set of labeled spans.
constructRegionGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.gbp.BPRegionGenerator
 
constructRegionGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator
 
constructRegionGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.gbp.Kikuchi4SquareRegionGenerator
 
constructRegionGraph(FactorGraph) - Method in interface cc.mallet.grmm.inference.gbp.RegionGraphGenerator
Construct a region graph from an artbitrary model.
contains(Object) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
contains(Object) - Method in class cc.mallet.grmm.types.BitVarSet
 
contains(Object) - Method in class cc.mallet.grmm.types.HashVarSet
 
contains(Object) - Method in class cc.mallet.grmm.types.ListVarSet
 
contains(Object) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
contains(Object) - Method in class cc.mallet.types.Alphabet
 
contains(Object) - Method in class cc.mallet.types.FeatureSelection
 
contains(int) - Method in class cc.mallet.types.FeatureSelection
 
contains(Object) - Method in class cc.mallet.types.FeatureVector
 
contains(Object) - Method in class cc.mallet.types.MultiInstanceList
 
contains(QueueElement) - Method in class cc.mallet.util.search.MinHeap
 
contains(QueueElement) - Method in interface cc.mallet.util.search.PriorityQueue
Does the queue contain an element?
containsAll(Collection) - Method in class cc.mallet.grmm.types.BitVarSet
 
containsAll(BitVarSet) - Method in class cc.mallet.grmm.types.BitVarSet
Efficient version of containsAll() for BitSetCliques.
containsAll(Collection) - Method in class cc.mallet.grmm.types.HashVarSet
 
containsAll(Collection) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
containsObject(Object) - Method in class cc.mallet.grmm.types.Tree
 
containsVar(Variable) - Method in class cc.mallet.grmm.types.AbstractFactor
 
containsVar(Variable) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Returns true iff this potential is over the given variable
containsVar(Variable) - Method in class cc.mallet.grmm.types.Assignment
Returns true if this assignment specifies a value for var
containsVar(Variable) - Method in class cc.mallet.grmm.types.CPT
 
containsVar(Variable) - Method in interface cc.mallet.grmm.types.Factor
Returns whether the potential is over the given variable.
containsVar(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns whether this variable is part of the model.
contentsAsCharSequence(Reader) - Static method in class cc.mallet.util.IoUtils
 
contentsAsString(File) - Static method in class cc.mallet.util.IoUtils
 
CONTINUOUS - Static variable in class cc.mallet.grmm.types.Variable
Number of outcomes for a continous variable.
continuousVarsOf(Factor) - Static method in class cc.mallet.grmm.types.Factors
 
converged - Variable in class cc.mallet.cluster.GreedyAgglomerative
True if should stop clustering.
converged(Clustering) - Method in class cc.mallet.cluster.GreedyAgglomerative
 
converged(Clustering) - Method in class cc.mallet.cluster.GreedyAgglomerativeByDensity
 
converged(Clustering) - Method in class cc.mallet.cluster.HillClimbingClusterer
 
converged - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
convert(InstanceList, Noop) - Static method in class cc.mallet.pipe.AddClassifierTokenPredictions
Converts each instance containing a FeatureVectorSequence to multiple instances, each containing an AugmentableFeatureVector as data.
convert(Instance, Noop) - Static method in class cc.mallet.pipe.AddClassifierTokenPredictions
 
copy() - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
This is used in multi-threading.
copy() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
copy() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
copy() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
copy() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
 
copy() - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
This is used in multi-threading.
copy() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
copyAndMergeClusters(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
copyAndMergeInstances(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
copyAndMergeInstances(Clustering, int[]) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
copyOldMessages() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
copyWithNewLabels(Clustering) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
corr(Factor) - Static method in class cc.mallet.grmm.types.Factors
 
corr(Univariate, Univariate) - Static method in class cc.mallet.util.StatFunctions
 
correct() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
 
correct() - Method in class cc.mallet.fst.confidence.InstanceWithConfidence
 
correct() - Method in class cc.mallet.fst.confidence.PipedInstanceWithConfidence
 
correct() - Method in class cc.mallet.fst.Segment
 
correctLeastConfidentSegments(InstanceList, Object[], Object[]) - Method in class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
 
correctLeastConfidentSegments(InstanceList, Object[], Object[], boolean) - Method in class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
Returns an ArrayList of corrected Sequences.
correctLeastConfidentSegments(InstanceList, Object[], Object[]) - Method in class cc.mallet.fst.confidence.IsolatedSegmentTransducerCorrector
 
correctLeastConfidentSegments(InstanceList, Object[], Object[]) - Method in interface cc.mallet.fst.confidence.TransducerCorrector
 
correctT - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
correlation() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
Calculate pearson's R for the corellation between confidence and correct, where 1 = correct and -1 = incorrect
cosh(double) - Static method in class cc.mallet.util.Maths
 
cost() - Method in class cc.mallet.util.search.SearchNode.NextNodeIterator
The cost associated to the transition from the previous state to this state.
cost() - Method in class cc.mallet.util.search.SearchState.NextStateIterator
The cost of the transition to the current state.
count - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
count - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
count - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
count - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
count - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
count - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
 
count - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
count - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
 
count(int[], int) - Static method in class cc.mallet.util.ArrayUtils
Returns the number of times a value occurs in a given array.
count() - Method in class cc.mallet.util.FeatureCounter
 
count(String, char) - Static method in class cc.mallet.util.Strings
 
CountMatches - Class in cc.mallet.pipe.tsf
 
CountMatches(String, Pattern, int) - Constructor for class cc.mallet.pipe.tsf.CountMatches
 
CountMatches(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.CountMatches
 
CountMatchesAlignedWithOffsets - Class in cc.mallet.pipe.tsf
 
CountMatchesAlignedWithOffsets(String, Pattern, int[], boolean) - Constructor for class cc.mallet.pipe.tsf.CountMatchesAlignedWithOffsets
 
CountMatchesAlignedWithOffsets(String, Pattern, int[]) - Constructor for class cc.mallet.pipe.tsf.CountMatchesAlignedWithOffsets
 
CountMatchesMatching - Class in cc.mallet.pipe.tsf
 
CountMatchesMatching(String, Pattern, Pattern, boolean) - Constructor for class cc.mallet.pipe.tsf.CountMatchesMatching
 
CountMatchesMatching(String, Pattern, Pattern) - Constructor for class cc.mallet.pipe.tsf.CountMatchesMatching
 
cov(Univariate, Univariate) - Static method in class cc.mallet.util.StatFunctions
 
CPT - Class in cc.mallet.grmm.types
$Id: CPT.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $
CPT(DiscreteFactor, Variable) - Constructor for class cc.mallet.grmm.types.CPT
 
createAccuracyArray() - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
Creates array of accuracy values for coverage at each step as defined by numBuckets.
createArrayList(Object[]) - Static method in class cc.mallet.util.ArrayListUtils
 
createBlankSubset(Variable[]) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
createBlankSubset(Variable[]) - Method in class cc.mallet.grmm.types.LogTableFactor
 
createBlankSubset(Variable[]) - Method in class cc.mallet.grmm.types.TableFactor
 
createBoltzmannMachine(double[][], double[]) - Static method in class cc.mallet.grmm.types.UndirectedModel
Creates an undirected model that corresponds to a Boltzmann machine with the given weights and biases.
createEvaluator(String) - Static method in class cc.mallet.grmm.learning.extract.AcrfExtractorTui
 
createEvaluator(String) - Static method in class cc.mallet.grmm.learning.GenericAcrfTui
 
createFactorMatrix(ACRF.UnrolledVarSet) - Method in class cc.mallet.grmm.learning.ACRF.Template
Creates an empty matrix for use in storing factor values when this template is unrolled.
createForMaxProduct() - Static method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
createForMaxProduct() - Static method in class cc.mallet.grmm.inference.LoopyBP
 
createForMaxProduct() - Static method in class cc.mallet.grmm.inference.ResidualBP
 
createForMaxProduct() - Static method in class cc.mallet.grmm.inference.TreeBP
 
createForMaxProduct() - Static method in class cc.mallet.grmm.inference.TRP
 
createFromRegex(Alphabet, Pattern) - Static method in class cc.mallet.types.FeatureSelection
Creates a FeatureSelection that includes only those features whose names match a given regex.
createGainRatio(InstanceList) - Static method in class cc.mallet.types.GainRatio
Constructs a GainRatio object.
createGainRatio(InstanceList, int[], int) - Static method in class cc.mallet.types.GainRatio
Constructs a GainRatio object
createGrid(RandomGraphs.FactorGenerator, int) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
createGridWithObs(RandomGraphs.FactorGenerator, RandomGraphs.FactorGenerator, int) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
createOptimizable(ACRF, InstanceList) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
createOptimizable(ACRF, InstanceList) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer
 
createOptimizable(ACRF, InstanceList) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer
 
createOptimizable(ACRF, InstanceList) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
createPipe() - Method in class cc.mallet.pipe.tests.TestInstancePipe
 
createRandomChain(Randoms, int) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
createRandomClustering(InstanceList, Randoms) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
createRandomGrid(int, int, int, Random) - Static method in class cc.mallet.grmm.test.TestInference
 
createReverseTransitionMatrices(CRF) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
Initializes data structures for mapping between a destination state and its source states / transition indices.
createSingletonClustering(InstanceList) - Static method in class cc.mallet.cluster.util.ClusterUtils
Initializes Clustering to one Instance per cluster.
createSpan(Tokenization, int, int) - Method in class cc.mallet.extract.BIOTokenizationFilter
 
createSpan(Tokenization, int, int) - Method in class cc.mallet.extract.BIOTokenizationFilterWithTokenIndices
 
createTasks() - Method in class cc.mallet.fst.ThreadedOptimizable
Creates tasks to be executed in parallel, each task looks at a batch of data.
createTestModels() - Static method in class cc.mallet.grmm.test.TestInference
 
createUniformChain(int) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
createUniformGrid(int) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
CRF - Class in cc.mallet.fst
Represents a CRF model.
CRF(Pipe, Pipe) - Constructor for class cc.mallet.fst.CRF
 
CRF(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.CRF
 
CRF(CRF) - Constructor for class cc.mallet.fst.CRF
Create a CRF whose states and weights are a copy of those from another CRF.
crf - Variable in class cc.mallet.fst.CRFCacheStaleIndicator
 
crf - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
crf - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
crf - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
crf - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
crf - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
crf - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
CRF.Factors - Class in cc.mallet.fst
A simple, transparent container to hold the parameters or sufficient statistics for the CRF.
CRF.Factors() - Constructor for class cc.mallet.fst.CRF.Factors
Construct a new empty Factors with a new empty weightsAlphabet, 0-length initialWeights and finalWeights, and the other arrays null.
CRF.Factors(CRF.Factors) - Constructor for class cc.mallet.fst.CRF.Factors
Construct new Factors by mimicking the structure of the other one, but with zero values.
CRF.Factors(CRF.Factors, boolean) - Constructor for class cc.mallet.fst.CRF.Factors
Construct new Factors by copying the other one.
CRF.Factors(CRF) - Constructor for class cc.mallet.fst.CRF.Factors
Construct a new Factors with the same structure as the parameters of 'crf', but with values initialized to zero.
CRF.Factors.Incrementor - Class in cc.mallet.fst
Instances of this inner class can be passed to various inference methods, which can then gather/increment sufficient statistics counts into the containing Factor instance.
CRF.Factors.Incrementor() - Constructor for class cc.mallet.fst.CRF.Factors.Incrementor
 
CRF.Factors.WeightedIncrementor - Class in cc.mallet.fst
 
CRF.Factors.WeightedIncrementor(double) - Constructor for class cc.mallet.fst.CRF.Factors.WeightedIncrementor
 
CRF.State - Class in cc.mallet.fst
 
CRF.State() - Constructor for class cc.mallet.fst.CRF.State
 
CRF.State(String, int, double, double, String[], String[], String[][], CRF) - Constructor for class cc.mallet.fst.CRF.State
 
CRF.TransitionIterator - Class in cc.mallet.fst
 
CRF.TransitionIterator(CRF.State, FeatureVectorSequence, int, String, CRF) - Constructor for class cc.mallet.fst.CRF.TransitionIterator
 
CRF.TransitionIterator(CRF.State, FeatureVector, String, CRF) - Constructor for class cc.mallet.fst.CRF.TransitionIterator
 
CRFCacheStaleIndicator - Class in cc.mallet.fst
Indicates when the value/gradient becomes stale based on updates to CRF's parameters.
CRFCacheStaleIndicator(CRF) - Constructor for class cc.mallet.fst.CRFCacheStaleIndicator
 
CRFExtractor - Class in cc.mallet.extract
Created: Oct 12, 2004
CRFExtractor(CRF) - Constructor for class cc.mallet.extract.CRFExtractor
 
CRFExtractor(File) - Constructor for class cc.mallet.extract.CRFExtractor
 
CRFExtractor(CRF, Pipe) - Constructor for class cc.mallet.extract.CRFExtractor
 
CRFExtractor(CRF, Pipe, TokenizationFilter) - Constructor for class cc.mallet.extract.CRFExtractor
 
CRFExtractor(CRF, Pipe, TokenizationFilter, String) - Constructor for class cc.mallet.extract.CRFExtractor
 
CRFOptimizableByBatchLabelLikelihood - Class in cc.mallet.fst
Implements label likelihood gradient computations for batches of data, can be easily parallelized.
CRFOptimizableByBatchLabelLikelihood(CRF, InstanceList, int) - Constructor for class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
CRFOptimizableByBatchLabelLikelihood.Factory - Class in cc.mallet.fst
 
CRFOptimizableByBatchLabelLikelihood.Factory() - Constructor for class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood.Factory
 
CRFOptimizableByEntropyRegularization - Class in cc.mallet.fst.semi_supervised
A CRF objective function that is the entropy of the CRF's predictions on unlabeled data.
CRFOptimizableByEntropyRegularization(CRF, InstanceList, double) - Constructor for class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
Initializes the structures.
CRFOptimizableByEntropyRegularization(CRF, InstanceList) - Constructor for class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
Initializes the structures (sets the scaling factor to 1.0).
CRFOptimizableByGE - Class in cc.mallet.fst.semi_supervised
Optimizable for CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF.
CRFOptimizableByGE(CRF, ArrayList<GEConstraint>, InstanceList, StateLabelMap, int) - Constructor for class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
CRFOptimizableByGE(CRF, ArrayList<GEConstraint>, InstanceList, StateLabelMap, int, double) - Constructor for class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
CRFOptimizableByGradientValues - Class in cc.mallet.fst
A CRF objective function that is the sum of multiple objective functions that implement Optimizable.ByGradientValue.
CRFOptimizableByGradientValues(CRF, Optimizable.ByGradientValue[]) - Constructor for class cc.mallet.fst.CRFOptimizableByGradientValues
 
CRFOptimizableByKL - Class in cc.mallet.fst.semi_supervised.pr
M-step/M-projection for PR.
CRFOptimizableByKL(CRF, InstanceList, PRAuxiliaryModel, double[][][][], int, double) - Constructor for class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
CRFOptimizableByLabelLikelihood - Class in cc.mallet.fst
An objective function for CRFs that is the label likelihood plus a Gaussian or hyperbolic prior on parameters.
CRFOptimizableByLabelLikelihood(CRF, InstanceList) - Constructor for class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
CRFOptimizableByLabelLikelihood.Factory - Class in cc.mallet.fst
 
CRFOptimizableByLabelLikelihood.Factory() - Constructor for class cc.mallet.fst.CRFOptimizableByLabelLikelihood.Factory
 
CRFTrainerByEntropyRegularization - Class in cc.mallet.fst.semi_supervised
A CRF trainer that maximizes the log-likelihood plus a weighted entropy regularization term on unlabeled data.
CRFTrainerByEntropyRegularization(CRF) - Constructor for class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
CRFTrainerByGE - Class in cc.mallet.fst.semi_supervised
Trains a CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF.
CRFTrainerByGE(CRF, ArrayList<GEConstraint>) - Constructor for class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
CRFTrainerByGE(CRF, ArrayList<GEConstraint>, int) - Constructor for class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
CRFTrainerByL1LabelLikelihood - Class in cc.mallet.fst
CRF trainer that implements L1-regularization.
CRFTrainerByL1LabelLikelihood(CRF) - Constructor for class cc.mallet.fst.CRFTrainerByL1LabelLikelihood
 
CRFTrainerByL1LabelLikelihood(CRF, double) - Constructor for class cc.mallet.fst.CRFTrainerByL1LabelLikelihood
Constructor for CRF trainer.
CRFTrainerByLabelLikelihood - Class in cc.mallet.fst
Unlike ClassifierTrainer, TransducerTrainer is not "stateless" between calls to train.
CRFTrainerByLabelLikelihood(CRF) - Constructor for class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
CRFTrainerByLikelihoodAndGE - Class in cc.mallet.fst.semi_supervised
 
CRFTrainerByLikelihoodAndGE(CRF, ArrayList<GEConstraint>, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
CRFTrainerByPR - Class in cc.mallet.fst.semi_supervised.pr
Posterior regularization trainer.
CRFTrainerByPR(CRF, ArrayList<PRConstraint>) - Constructor for class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
CRFTrainerByPR(CRF, ArrayList<PRConstraint>, int) - Constructor for class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
CRFTrainerByStochasticGradient - Class in cc.mallet.fst
Trains CRF by stochastic gradient.
CRFTrainerByStochasticGradient(CRF, InstanceList) - Constructor for class cc.mallet.fst.CRFTrainerByStochasticGradient
 
CRFTrainerByStochasticGradient(CRF, double) - Constructor for class cc.mallet.fst.CRFTrainerByStochasticGradient
 
CRFTrainerByThreadedLabelLikelihood - Class in cc.mallet.fst
 
CRFTrainerByThreadedLabelLikelihood(CRF, int) - Constructor for class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
CRFTrainerByValueGradients - Class in cc.mallet.fst
A CRF trainer that can combine multiple objective functions, each represented by a Optmizable.ByValueGradient.
CRFTrainerByValueGradients(CRF, Optimizable.ByGradientValue[]) - Constructor for class cc.mallet.fst.CRFTrainerByValueGradients
 
CRFTrainerByValueGradients.OptimizableCRF - Class in cc.mallet.fst
An optimizable CRF that contains a collection of objective functions.
CRFTrainerByValueGradients.OptimizableCRF(CRF, InstanceList) - Constructor for class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
CRFWriter - Class in cc.mallet.fst
Saves a trained model to specified filename.
CRFWriter(String) - Constructor for class cc.mallet.fst.CRFWriter
 
CrossTemplate1 - Class in cc.mallet.grmm.examples
$Id: CrossTemplate1.java,v 1.1 2007/10/22 21:38:02 mccallum Exp $
CrossTemplate1(int, int) - Constructor for class cc.mallet.grmm.examples.CrossTemplate1
 
CrossValidationIterator - Class in cc.mallet.types
An iterator which splits an InstanceList into n-folds and iterates over the folds for use in n-fold cross-validation.
CrossValidationIterator(InstanceList, int, Random) - Constructor for class cc.mallet.types.CrossValidationIterator
Constructs a new n-fold cross-validation iterator
CrossValidationIterator(InstanceList, int) - Constructor for class cc.mallet.types.CrossValidationIterator
Constructs a new n-fold cross-validation iterator
crossValidationIterator(int, int) - Method in class cc.mallet.types.InstanceList
 
crossValidationIterator(int) - Method in class cc.mallet.types.InstanceList
 
crossValidationIterator(int, int) - Method in class cc.mallet.types.MultiInstanceList
 
crossValidationIterator(int) - Method in class cc.mallet.types.MultiInstanceList
 
CSIntInt2ObjectMultiMap - Class in cc.mallet.grmm.util
A map that maps (int, int) --> object, where each (int,int) key is allowed to map to multiple objects.
CSIntInt2ObjectMultiMap() - Constructor for class cc.mallet.grmm.util.CSIntInt2ObjectMultiMap
 
Csv2Array - Class in cc.mallet.pipe
Converts a string of comma separated values to an array.
Csv2Array() - Constructor for class cc.mallet.pipe.Csv2Array
 
Csv2Array(String) - Constructor for class cc.mallet.pipe.Csv2Array
 
Csv2Array(CharSequenceLexer) - Constructor for class cc.mallet.pipe.Csv2Array
 
Csv2Classify - Class in cc.mallet.classify.tui
Command line tool for classifying a sequence of instances directly from text input, without creating an instance list.
Csv2Classify() - Constructor for class cc.mallet.classify.tui.Csv2Classify
 
Csv2FeatureVector - Class in cc.mallet.pipe
Converts a string of the form feature_1:val_1 feature_2:val_2 ...
Csv2FeatureVector(int) - Constructor for class cc.mallet.pipe.Csv2FeatureVector
 
Csv2FeatureVector() - Constructor for class cc.mallet.pipe.Csv2FeatureVector
 
Csv2Vectors - Class in cc.mallet.classify.tui
Command line import tool for loading a sequence of instances from a single file, with one instance per line of the input file.
Csv2Vectors() - Constructor for class cc.mallet.classify.tui.Csv2Vectors
 
CsvIterator - Class in cc.mallet.pipe.iterator
This iterator, perhaps more properly called a Line Pattern Iterator, reads through a file and returns one instance per line, based on a regular expression.
CsvIterator(Reader, Pattern, int, int, int) - Constructor for class cc.mallet.pipe.iterator.CsvIterator
 
CsvIterator(Reader, String, int, int, int) - Constructor for class cc.mallet.pipe.iterator.CsvIterator
 
CsvIterator(String, String, int, int, int) - Constructor for class cc.mallet.pipe.iterator.CsvIterator
 
cumulativeAccuracy() - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
Finds the "area under the acc/cov curve" steps by one percentage point and calcs area of trapezoid
currentMessage() - Method in class cc.mallet.grmm.inference.MessageArray.ToMsgsIterator
 
currentToIdx() - Method in class cc.mallet.grmm.inference.MessageArray.ToMsgsIterator
 
curry(int) - Method in class cc.mallet.grmm.util.MIntInt2ObjectMap
Returns an iterator over the set of (key2, value) pairs that match (key1).

D

data - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
data - Static variable in class cc.mallet.fst.tests.TestCRF
 
data - Static variable in class cc.mallet.fst.tests.TestMEMM
 
data - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
data - Variable in class cc.mallet.topics.NPTopicModel
 
data - Variable in class cc.mallet.topics.ParallelTopicModel
 
data - Variable in class cc.mallet.topics.PolylingualTopicModel
 
data - Variable in class cc.mallet.topics.SimpleLDA
 
data - Variable in class cc.mallet.types.Instance
 
dataLogLikelihood(InstanceList) - Method in class cc.mallet.classify.NaiveBayes
 
DecisionTree - Class in cc.mallet.classify
Decision Tree classifier.
DecisionTree(Pipe, DecisionTree.Node) - Constructor for class cc.mallet.classify.DecisionTree
 
DecisionTree.Node - Class in cc.mallet.classify
 
DecisionTree.Node(InstanceList, DecisionTree.Node, FeatureSelection) - Constructor for class cc.mallet.classify.DecisionTree.Node
 
DecisionTreeTrainer - Class in cc.mallet.classify
A decision tree learner, roughly ID3, but only to a fixed given depth in all branches.
DecisionTreeTrainer(int) - Constructor for class cc.mallet.classify.DecisionTreeTrainer
 
DecisionTreeTrainer() - Constructor for class cc.mallet.classify.DecisionTreeTrainer
 
DecisionTreeTrainer.Factory - Class in cc.mallet.classify
 
DecisionTreeTrainer.Factory() - Constructor for class cc.mallet.classify.DecisionTreeTrainer.Factory
 
decompact() - Method in class cc.mallet.grmm.inference.JunctionTree
 
deepClone() - Method in class cc.mallet.pipe.SimpleTokenizer
 
deepCopy(MIntInt2ObjectMap) - Method in class cc.mallet.grmm.inference.MessageArray
 
DEFAULT - Static variable in class cc.mallet.grmm.types.Universe
 
DEFAULT_BETA - Static variable in class cc.mallet.topics.LDAHyper
Deprecated.  
DEFAULT_BETA - Static variable in class cc.mallet.topics.NPTopicModel
 
DEFAULT_BETA - Static variable in class cc.mallet.topics.ParallelTopicModel
 
DEFAULT_BETA - Static variable in class cc.mallet.topics.PolylingualTopicModel
 
DEFAULT_BETA - Static variable in class cc.mallet.topics.SimpleLDA
 
DEFAULT_BETA - Static variable in class cc.mallet.topics.WorkerRunnable
 
DEFAULT_COOLING_RATE - Static variable in class cc.mallet.classify.BalancedWinnowTrainer
0.5
DEFAULT_DELTA - Static variable in class cc.mallet.classify.BalancedWinnowTrainer
0.1
DEFAULT_DOC_PROPORTIONS - Static variable in class cc.mallet.topics.TopicModelDiagnostics
 
DEFAULT_EPSILON - Static variable in class cc.mallet.classify.BalancedWinnowTrainer
0.5
DEFAULT_MAX_DEPTH - Static variable in class cc.mallet.classify.DecisionTreeTrainer
 
DEFAULT_MAX_ITER - Static variable in class cc.mallet.grmm.inference.LoopyBP
 
DEFAULT_MAX_ITER - Static variable in class cc.mallet.grmm.inference.ResidualBP
 
DEFAULT_MAX_ITERATIONS - Static variable in class cc.mallet.classify.BalancedWinnowTrainer
30
DEFAULT_MAX_RESETS - Static variable in class cc.mallet.fst.CRFTrainerByValueGradients
 
DEFAULT_MIN_INFO_GAIN_SPLIT - Static variable in class cc.mallet.classify.DecisionTreeTrainer
 
DefaultAcrfTrainer - Class in cc.mallet.grmm.learning
Class for training ACRFs.
DefaultAcrfTrainer() - Constructor for class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
DefaultAcrfTrainer.FileEvaluator - Class in cc.mallet.grmm.learning
 
DefaultAcrfTrainer.FileEvaluator(File) - Constructor for class cc.mallet.grmm.learning.DefaultAcrfTrainer.FileEvaluator
 
DefaultAcrfTrainer.LogEvaluator - Class in cc.mallet.grmm.learning
 
DefaultAcrfTrainer.LogEvaluator() - Constructor for class cc.mallet.grmm.learning.DefaultAcrfTrainer.LogEvaluator
 
DefaultAcrfTrainer.TestResults - Class in cc.mallet.grmm.learning
 
defaultFeatureIndex - Variable in class cc.mallet.classify.MaxEnt
 
defaultFeatureIndex - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
defaultIntersection(VarSet, VarSet) - Static method in class cc.mallet.grmm.inference.Utils
 
DefaultTokenizationFilter - Class in cc.mallet.extract
Created: Nov 12, 2004
DefaultTokenizationFilter() - Constructor for class cc.mallet.extract.DefaultTokenizationFilter
 
defaultValue - Variable in class cc.mallet.util.CommandOption.Boolean
 
defaultValue - Variable in class cc.mallet.util.CommandOption.Double
 
defaultValue - Variable in class cc.mallet.util.CommandOption.DoubleArray
 
defaultValue - Variable in class cc.mallet.util.CommandOption.File
 
defaultValue - Variable in class cc.mallet.util.CommandOption.Integer
 
defaultValue - Variable in class cc.mallet.util.CommandOption.IntegerArray
 
defaultValue - Variable in class cc.mallet.util.CommandOption.Object
 
defaultValue - Variable in class cc.mallet.util.CommandOption.Set
 
defaultValue - Variable in class cc.mallet.util.CommandOption.SpacedStrings
 
defaultValue - Variable in class cc.mallet.util.CommandOption.String
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.Boolean
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.Double
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.DoubleArray
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.File
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.Integer
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.IntegerArray
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.Object
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.ObjectFromBean
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.Set
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.SpacedStrings
 
defaultValueToString() - Method in class cc.mallet.util.CommandOption.String
 
defaultWeights - Variable in class cc.mallet.fst.CRF.Factors
 
deletionMark - Static variable in class cc.mallet.types.FeatureSequenceWithBigrams
 
delogify() - Method in class cc.mallet.grmm.types.AbstractFactor
 
DenseMatrix - Class in cc.mallet.types
 
DenseMatrix() - Constructor for class cc.mallet.types.DenseMatrix
 
DenseVector - Class in cc.mallet.types
 
DenseVector(double[], boolean) - Constructor for class cc.mallet.types.DenseVector
 
DenseVector(double[]) - Constructor for class cc.mallet.types.DenseVector
 
DenseVector(int) - Constructor for class cc.mallet.types.DenseVector
 
depth() - Method in class cc.mallet.classify.C45.Node
The root has depth zero.
depth() - Method in class cc.mallet.classify.DecisionTree.Node
The root has depth zero.
describeTransition(double) - Method in class cc.mallet.fst.CRF.TransitionIterator
 
describeTransition(double) - Method in class cc.mallet.fst.MEMM.TransitionIterator
 
describeTransition(double) - Method in class cc.mallet.fst.Transducer.TransitionIterator
 
diag(int[], double) - Static method in class cc.mallet.grmm.util.Matrices
 
diagonalToString(double[], int) - Static method in class cc.mallet.util.MVNormal
 
digamma(double) - Static method in class cc.mallet.types.Dirichlet
Calculate digamma using an asymptotic expansion involving Bernoulli numbers.
DIGAMMA_COEF_1 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_10 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_2 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_3 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_4 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_5 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_6 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_7 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_8 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_COEF_9 - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_LARGE - Static variable in class cc.mallet.types.Dirichlet
 
DIGAMMA_SMALL - Static variable in class cc.mallet.types.Dirichlet
 
digammaDifference(double, int) - Static method in class cc.mallet.types.Dirichlet
 
DirectedModel - Class in cc.mallet.grmm.types
Class for directed graphical models.
DirectedModel() - Constructor for class cc.mallet.grmm.types.DirectedModel
 
DirectedModel(Variable[]) - Constructor for class cc.mallet.grmm.types.DirectedModel
 
DirectedModel(int) - Constructor for class cc.mallet.grmm.types.DirectedModel
 
Directory2FileIterator - Class in cc.mallet.pipe
Convert a File object representing a directory into a FileIterator which iterates over files in the directory matching a pattern and which extracts a label from each file path to become the target field of the instance.
Directory2FileIterator(FileFilter, Pattern) - Constructor for class cc.mallet.pipe.Directory2FileIterator
 
Directory2FileIterator(Pattern, Pattern, Pattern) - Constructor for class cc.mallet.pipe.Directory2FileIterator
 
Directory2FileIterator(String) - Constructor for class cc.mallet.pipe.Directory2FileIterator
 
Directory2FileIterator() - Constructor for class cc.mallet.pipe.Directory2FileIterator
 
DirectoryFilter - Class in cc.mallet.util
 
DirectoryFilter() - Constructor for class cc.mallet.util.DirectoryFilter
 
Dirichlet - Class in cc.mallet.types
Various useful functions related to Dirichlet distributions.
Dirichlet(double, double[]) - Constructor for class cc.mallet.types.Dirichlet
A dirichlet parameterized by a distribution and a magnitude
Dirichlet(double[]) - Constructor for class cc.mallet.types.Dirichlet
A dirichlet parameterized with a single vector of positive reals
Dirichlet(double[], Alphabet) - Constructor for class cc.mallet.types.Dirichlet
Constructor that takes an alphabet representing the meaning of each dimension
Dirichlet(Alphabet) - Constructor for class cc.mallet.types.Dirichlet
A symmetric Dirichlet with alpha_i = 1.0 and the number of dimensions of the given alphabet.
Dirichlet(Alphabet, double) - Constructor for class cc.mallet.types.Dirichlet
A symmetric Dirichlet with alpha_i = alpha and the number of dimensions of the given alphabet.
Dirichlet(int) - Constructor for class cc.mallet.types.Dirichlet
A symmetric Dirichlet with alpha_i = 1.0 and size dimensions
Dirichlet(int, double) - Constructor for class cc.mallet.types.Dirichlet
A symmetric dirichlet: E(X_i) = E(X_j) for all i, j
Dirichlet.Estimator - Class in cc.mallet.types
 
Dirichlet.Estimator() - Constructor for class cc.mallet.types.Dirichlet.Estimator
 
Dirichlet.Estimator(Collection<Multinomial>) - Constructor for class cc.mallet.types.Dirichlet.Estimator
 
Dirichlet.MethodOfMomentsEstimator - Class in cc.mallet.types
 
Dirichlet.MethodOfMomentsEstimator() - Constructor for class cc.mallet.types.Dirichlet.MethodOfMomentsEstimator
 
dirichletMultinomialLikelihoodRatio(TIntIntHashMap, TIntIntHashMap, double, double) - Static method in class cc.mallet.types.Dirichlet
What is the probability that these two observations were drawn from the same multinomial with symmetric Dirichlet prior alpha, relative to the probability that they were drawn from different multinomials both drawn from this Dirichlet?
dirichletMultinomialLikelihoodRatio(int[], int[], double, double) - Static method in class cc.mallet.types.Dirichlet
What is the probability that these two observations were drawn from the same multinomial with symmetric Dirichlet prior alpha, relative to the probability that they were drawn from different multinomials both drawn from this Dirichlet?
dirichletMultinomialLikelihoodRatio(int[], int[]) - Method in class cc.mallet.types.Dirichlet
This version uses a non-symmetric Dirichlet prior
disableDoubleBuffering(Component) - Static method in class cc.mallet.util.PrintUtilities
The speed and quality of printing suffers dramatically if any of the containers have double buffering turned on.
disabledtestAddOrderNStates() - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestCost(int) - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestDenseSerialization() - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestDenseTrain() - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestPrint() - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestSerialization() - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestTrain() - Method in class cc.mallet.fst.tests.TestMEMM
 
disabledtestValueGradient() - Method in class cc.mallet.fst.tests.TestMEMM
 
DiscreteFactor - Interface in cc.mallet.grmm.types
$Id: DiscreteFactor.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $
discreteVarsOf(Factor) - Static method in class cc.mallet.grmm.types.Factors
 
displayGraph() - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
Displays the accuracy v.
displayTopWords(int, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
 
distance(SparseVector, int, SparseVector, int) - Method in interface cc.mallet.types.CachedMetric
 
distance(SparseVector, SparseVector) - Method in interface cc.mallet.types.Metric
 
distance(SparseVector, SparseVector) - Method in class cc.mallet.types.Minkowski
Gives the Minkowski distance between two vectors.
distance(SparseVector, SparseVector) - Method in class cc.mallet.types.NormalizedDotProductMetric
 
distance(SparseVector, int, SparseVector, int) - Method in class cc.mallet.types.NormalizedDotProductMetric
 
distLinf(AbstractTableFactor, AbstractTableFactor) - Static method in class cc.mallet.grmm.types.Factors
 
distributionToString(double, double[]) - Static method in class cc.mallet.types.Dirichlet
Create a printable list of alpha_i parameters
distValueLinf(AbstractTableFactor, AbstractTableFactor) - Static method in class cc.mallet.grmm.types.Factors
 
div() - Static method in class cc.mallet.grmm.util.Flops
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.AbstractFactor
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Does the conceptual equivalent of this /= pot.
divideBy(double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.BetaFactor
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.CPT
 
divideBy(Factor) - Method in interface cc.mallet.grmm.types.Factor
Computes this /= pot
divideBy(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.NormalFactor
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.UniformFactor
 
divideBy(Factor) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
divideByInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
divideByInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.LogTableFactor
 
divideByInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.TableFactor
 
divideEquals(double) - Method in class cc.mallet.types.DenseMatrix
 
divideEquals(double) - Method in interface cc.mallet.types.Matrix
 
divideEquals(double) - Method in class cc.mallet.types.SparseMatrixn
 
DMRLoader - Class in cc.mallet.topics.tui
This class loads data into the format for the MALLET Dirichlet-multinomial regression (DMR).
DMRLoader() - Constructor for class cc.mallet.topics.tui.DMRLoader
 
DMROptimizable - Class in cc.mallet.topics
 
DMROptimizable() - Constructor for class cc.mallet.topics.DMROptimizable
 
DMROptimizable(InstanceList, MaxEnt) - Constructor for class cc.mallet.topics.DMROptimizable
 
DMRTopicModel - Class in cc.mallet.topics
 
DMRTopicModel(int) - Constructor for class cc.mallet.topics.DMRTopicModel
 
docLengthCounts - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
docLengthCounts - Variable in class cc.mallet.topics.ParallelTopicModel
 
docLengthCounts - Variable in class cc.mallet.topics.PolylingualTopicModel
 
docLengthCounts - Variable in class cc.mallet.topics.WorkerRunnable
 
docsPerTopic - Variable in class cc.mallet.topics.NPTopicModel
 
DocumentClassifier - Class in cc.mallet.classify.examples
 
DocumentClassifier() - Constructor for class cc.mallet.classify.examples.DocumentClassifier
 
DocumentExtraction - Class in cc.mallet.extract
Created: Oct 12, 2004
DocumentExtraction(String, LabelAlphabet, Tokenization, Sequence, String) - Constructor for class cc.mallet.extract.DocumentExtraction
 
DocumentExtraction(String, LabelAlphabet, Tokenization, Sequence, Sequence, String) - Constructor for class cc.mallet.extract.DocumentExtraction
 
DocumentExtraction(String, LabelAlphabet, Tokenization, Sequence, Sequence, String, TokenizationFilter) - Constructor for class cc.mallet.extract.DocumentExtraction
 
DocumentExtraction(String, LabelAlphabet, Tokenization, LabeledSpans, LabeledSpans, String) - Constructor for class cc.mallet.extract.DocumentExtraction
 
DocumentLengths - Class in cc.mallet.util
 
DocumentLengths() - Constructor for class cc.mallet.util.DocumentLengths
 
DocumentViewer - Class in cc.mallet.extract
Diagnosis class that outputs HTML pages that allows you to view errors on a more global per-instance basis.
DocumentViewer() - Constructor for class cc.mallet.extract.DocumentViewer
 
doneWithGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
doProcessOptions(Class, String[]) - Static method in class cc.mallet.grmm.learning.extract.AcrfExtractorTui
 
doProcessOptions(Class, String[]) - Static method in class cc.mallet.grmm.learning.GenericAcrfTui
 
dot(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
Deprecated. Use dotProduct()
dotCache - Variable in class cc.mallet.fst.semi_supervised.GELattice
 
doTestCost(boolean) - Method in class cc.mallet.fst.tests.TestCRF
 
doTestSpacePrediction(boolean) - Method in class cc.mallet.fst.tests.TestCRF
 
doTestSpacePrediction(boolean, boolean, boolean) - Method in class cc.mallet.fst.tests.TestCRF
 
doTestSpacePrediction(boolean) - Method in class cc.mallet.fst.tests.TestMEMM
 
doTestSpacePrediction(boolean, boolean, boolean) - Method in class cc.mallet.fst.tests.TestMEMM
 
dotProduct(DenseVector) - Method in class cc.mallet.types.AugmentableFeatureVector
 
dotProduct(SparseVector) - Method in class cc.mallet.types.AugmentableFeatureVector
 
dotProduct(AugmentableFeatureVector) - Method in class cc.mallet.types.AugmentableFeatureVector
 
dotProduct(ConstantMatrix) - Method in interface cc.mallet.types.ConstantMatrix
 
dotProduct(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
dotProduct(int, Matrix2, int) - Method in class cc.mallet.types.FeatureVectorSequence
 
dotProduct(int, Vector) - Method in class cc.mallet.types.FeatureVectorSequence
 
dotProduct(DenseVector) - Method in class cc.mallet.types.HashedSparseVector
 
dotProduct(SparseVector) - Method in class cc.mallet.types.HashedSparseVector
 
dotProduct(DenseVector) - Method in class cc.mallet.types.IndexedSparseVector
 
dotProduct(SparseVector) - Method in class cc.mallet.types.IndexedSparseVector
 
dotProduct(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
 
dotProduct(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
 
dotProduct(double[]) - Method in class cc.mallet.types.SparseVector
VECTOR OPERATIONS
dotProduct(ConstantMatrix) - Method in class cc.mallet.types.SparseVector
 
dotProduct(DenseVector) - Method in class cc.mallet.types.SparseVector
 
dotProduct(SparseVector) - Method in class cc.mallet.types.SparseVector
 
doubleArrayToString(double[], int) - Static method in class cc.mallet.util.MVNormal
Create a string representation of a square matrix in one-dimensional array format
DoubleList - Class in cc.mallet.util
 
DoubleList() - Constructor for class cc.mallet.util.DoubleList
 
DoubleList(int) - Constructor for class cc.mallet.util.DoubleList
 
DoubleList(int, double) - Constructor for class cc.mallet.util.DoubleList
 
DoubleList(double[], int) - Constructor for class cc.mallet.util.DoubleList
 
DoubleList(double[]) - Constructor for class cc.mallet.util.DoubleList
 
drawObservation(int) - Method in class cc.mallet.types.Dirichlet
Dirichlet-multinomial: draw a distribution from the dirichlet, then draw n samples from that multinomial.
drawObservation(int, double[]) - Method in class cc.mallet.types.Dirichlet
Draw a count vector from the probability distribution provided.
drawObservations(int, int) - Method in class cc.mallet.types.Dirichlet
Create a set of d draws from a dirichlet-multinomial, each with an average of n observations.
dualLattice2html(PrintWriter, String, LatticeViewer.ExtorInfo, LatticeViewer.ExtorInfo) - Static method in class cc.mallet.extract.LatticeViewer
 
dump() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
dump(PrintWriter) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
dump() - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
dump() - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
dump() - Method in interface cc.mallet.grmm.inference.Inferencer
 
dump() - Method in class cc.mallet.grmm.inference.JunctionTree
 
dump() - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
dump() - Method in class cc.mallet.grmm.inference.MessageArray
 
dump(PrintWriter) - Method in class cc.mallet.grmm.inference.MessageArray
 
dump() - Method in class cc.mallet.grmm.types.Assignment
 
dump(PrintWriter) - Method in class cc.mallet.grmm.types.Assignment
 
dump() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
dump(PrintStream) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
dump(PrintWriter) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
dump() - Method in class cc.mallet.grmm.types.FactorGraph
Dumps all the variables and factors of the model to System.out in human-readable text.
dump(PrintWriter) - Method in class cc.mallet.grmm.types.FactorGraph
 
dump() - Method in class cc.mallet.types.Alphabet
 
dump(PrintStream) - Method in class cc.mallet.types.Alphabet
 
dump(PrintWriter) - Method in class cc.mallet.types.Alphabet
 
dumpLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.JunctionTree
 
dumpLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
dumpNumeric() - Method in class cc.mallet.grmm.types.Assignment
 
dumpToString() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.Assignment
 
dumpToString() - Method in class cc.mallet.grmm.types.BetaFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.ConstantFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.CPT
 
dumpToString() - Method in interface cc.mallet.grmm.types.Factor
 
dumpToString() - Method in class cc.mallet.grmm.types.FactorGraph
 
dumpToString() - Method in class cc.mallet.grmm.types.NormalFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.PottsTableFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.SkeletonFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.Tree
 
dumpToString() - Method in class cc.mallet.grmm.types.UniformFactor
 
dumpToString() - Method in class cc.mallet.grmm.types.UniNormalFactor
 
dumpToString(Collection, String) - Static method in class cc.mallet.util.CollectionUtils
 
dumpToString(Collection) - Static method in class cc.mallet.util.CollectionUtils
 
dumpUnrolledGraphs(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF
 
duplicate() - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
duplicate() - Method in interface cc.mallet.grmm.inference.Inferencer
 
duplicate() - Method in class cc.mallet.grmm.inference.MessageArray
 
duplicate() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
duplicate() - Method in class cc.mallet.grmm.types.Assignment
 
duplicate() - Method in class cc.mallet.grmm.types.BetaFactor
 
duplicate() - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
duplicate() - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
duplicate() - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
duplicate() - Method in class cc.mallet.grmm.types.ConstantFactor
 
duplicate() - Method in class cc.mallet.grmm.types.CPT
 
duplicate() - Method in interface cc.mallet.grmm.types.Factor
 
duplicate() - Method in class cc.mallet.grmm.types.FactorGraph
Returns a copy of this model.
duplicate() - Method in class cc.mallet.grmm.types.LogTableFactor
 
duplicate() - Method in class cc.mallet.grmm.types.NormalFactor
 
duplicate() - Method in class cc.mallet.grmm.types.PottsTableFactor
 
duplicate() - Method in class cc.mallet.grmm.types.SkeletonFactor
 
duplicate() - Method in class cc.mallet.grmm.types.TableFactor
 
duplicate() - Method in class cc.mallet.grmm.types.UniformFactor
 
duplicate() - Method in class cc.mallet.grmm.types.UniNormalFactor
 

E

elapsedTime() - Method in class cc.mallet.util.Timing
Returns how much time as passed since Object creation, or the most recent call to tick().
elementAt(int) - Method in class cc.mallet.util.Univariate
 
elementwiseAccuracy(Sequence) - Method in interface cc.mallet.fst.MaxLattice
 
elementwiseAccuracy(Sequence) - Method in class cc.mallet.fst.MaxLatticeDefault
 
elementwiseAccuracy(Sequence, Sequence) - Static method in class cc.mallet.util.Sequences
 
elementwiseDivideEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
elementwiseDivideEquals(ConstantMatrix, double) - Method in class cc.mallet.types.DenseMatrix
 
elementwiseDivideEquals(ConstantMatrix) - Method in interface cc.mallet.types.Matrix
 
elementwiseDivideEquals(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
 
elementwiseDivideEquals(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
 
elementwiseDivideEquals(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
 
elementwiseTimesEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
elementwiseTimesEquals(ConstantMatrix, double) - Method in class cc.mallet.types.DenseMatrix
 
elementwiseTimesEquals(ConstantMatrix) - Method in interface cc.mallet.types.Matrix
 
elementwiseTimesEquals(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
 
elementwiseTimesEquals(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
 
elementwiseTimesEquals(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
 
empiricalLikelihood(int, InstanceList) - Method in class cc.mallet.topics.HierarchicalLDA
For use with empirical likelihood evaluation: sample a path through the tree, then sample a multinomial over topics in that path, then return a weighted sum of words.
empiricalLikelihood(int, InstanceList) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
EMPTY_DROP - Static variable in class cc.mallet.cluster.KMeans
Drop an empty cluster
EMPTY_ERROR - Static variable in class cc.mallet.cluster.KMeans
Treat an empty cluster as an error condition.
EMPTY_SINGLE - Static variable in class cc.mallet.cluster.KMeans
Place the single instance furthest from the previous cluster mean
EmptyInstanceIterator - Class in cc.mallet.pipe.iterator
 
EmptyInstanceIterator() - Constructor for class cc.mallet.pipe.iterator.EmptyInstanceIterator
 
enableDoubleBuffering(Component) - Static method in class cc.mallet.util.PrintUtilities
Re-enables double buffering globally.
endsPrematurely() - Method in class cc.mallet.fst.Segment
 
EnronMessage2TokenSequence - Class in cc.mallet.share.weili.ner.enron
 
EnronMessage2TokenSequence() - Constructor for class cc.mallet.share.weili.ner.enron.EnronMessage2TokenSequence
 
ensureCapacity(int) - Method in class cc.mallet.types.MultiInstanceList
 
ensureCapacity(int) - Method in class cc.mallet.types.Multinomial.Estimator
 
ensureOperandCompatible(DiscreteFactor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Ensures that this.inLogSpace == ptl.inLogSpace.
entropy - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
 
entropy() - Method in class cc.mallet.grmm.inference.JunctionTree
 
entropy() - Method in class cc.mallet.grmm.types.AbstractFactor
 
entropy() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
entropy() - Method in class cc.mallet.grmm.types.CPT
 
entropy() - Method in interface cc.mallet.grmm.types.Factor
Returns the expected log factor value, i.e., sum_x factor.value(x) * Math.log (factor.value (x)) where the summation is taken over all passible assignments.
entropy() - Method in class cc.mallet.grmm.types.FactorGraph
 
entropy(FactorGraph) - Static method in class cc.mallet.grmm.util.Models
Computes the exact entropy of a factor graph distribution using the junction tree algorithm.
EntropyLattice - Class in cc.mallet.fst.semi_supervised
Runs subsequence constrained forward-backward to compute the entropy of label sequences.
EntropyLattice(FeatureVectorSequence, double[][], double[][][], Transducer, Transducer.Incrementor, double) - Constructor for class cc.mallet.fst.semi_supervised.EntropyLattice
Runs constrained forward-backward.
EntropyLattice.LatticeNode - Class in cc.mallet.fst.semi_supervised
Contains alpha, beta values at a particular input position and state pair.
entryClass() - Method in class cc.mallet.types.Alphabet
 
entrySet() - Method in class cc.mallet.grmm.util.THashMultiMap
 
EPSILON - Static variable in class cc.mallet.util.Maths
Numbers that are closer than this are considered equal by almostEquals.
equals(Object) - Method in class cc.mallet.cluster.Clustering
 
equals(Object) - Method in class cc.mallet.fst.Segment
 
equals(Object) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
equals(Object) - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
equals(Object) - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
equals(Object) - Method in class cc.mallet.grmm.types.HashVarSet
 
equals(Object) - Method in class cc.mallet.grmm.types.ListVarSet
 
equals(Object) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
equals(Object) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
equals(Object) - Method in class cc.mallet.types.Label
 
equals(Object) - Method in class cc.mallet.types.Matrixn
 
equals(Object) - Method in class cc.mallet.types.MultiInstanceList
 
equals(Object) - Method in class cc.mallet.types.SparseMatrixn
 
equals(boolean[][], boolean[][]) - Static method in class cc.mallet.util.ArrayUtils
 
equalsPlus(double, ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
equalsPlus(double, ConstantMatrix) - Method in interface cc.mallet.types.Matrix
 
equalsPlus(double, ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
 
estimate() - Method in class cc.mallet.fst.FeatureTransducer
 
estimate() - Method in class cc.mallet.fst.HMM
 
estimate(int) - Method in class cc.mallet.topics.DMRTopicModel
 
estimate(int) - Method in class cc.mallet.topics.HierarchicalLDA
 
estimate(InstanceList, InstanceList, int, int, int, int, String, Randoms) - Method in class cc.mallet.topics.HierarchicalPAM
 
estimate(InstanceList, int, int, int, String, Randoms) - Method in class cc.mallet.topics.LDA
Deprecated.  
estimate(int, int, int, int, int, String, Randoms) - Method in class cc.mallet.topics.LDA
Deprecated.  
estimate() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
estimate(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
estimate(InstanceList, int, int, int, int, String, Randoms) - Method in class cc.mallet.topics.PAM4L
 
estimate() - Method in class cc.mallet.topics.ParallelTopicModel
 
estimate() - Method in class cc.mallet.topics.PolylingualTopicModel
 
estimate(int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
estimate(InstanceList, int, int, int, String, Randoms) - Method in class cc.mallet.topics.TopicalNGrams
 
estimate() - Method in class cc.mallet.types.Dirichlet.Estimator
 
estimate() - Method in class cc.mallet.types.Dirichlet.MethodOfMomentsEstimator
 
estimate() - Method in class cc.mallet.types.Multinomial.Estimator
 
estimate() - Method in class cc.mallet.types.Multinomial.MAPEstimator
 
estimate() - Method in class cc.mallet.types.Multinomial.MEstimator
 
estimateAll(int) - Method in class cc.mallet.topics.LDAStream
 
estimateConfidence(Extraction) - Method in class cc.mallet.extract.ExtractionConfidenceEstimator
 
estimateConfidence(DocumentExtraction) - Method in class cc.mallet.extract.ExtractionConfidenceEstimator
 
estimateConfidence(DocumentExtraction) - Method in class cc.mallet.extract.TransducerExtractionConfidenceEstimator
 
estimateConfidenceFor(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.ConstrainedForwardBackwardConfidenceEstimator
Calculates the confidence in the tagging of a Segment.
estimateConfidenceFor(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.GammaAverageConfidenceEstimator
Calculates the confidence in the tagging of a Segment.
estimateConfidenceFor(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.GammaProductConfidenceEstimator
Calculates the confidence in the tagging of a Segment.
estimateConfidenceFor(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.MaxEntConfidenceEstimator
Calculates the confidence in the tagging of a Segment.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
Calculates the confidence in the tagging of an Instance.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.MinSegmentConfidenceEstimator
Calculates the confidence in the tagging of a Instance.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.NBestViterbiConfidenceEstimator
Calculates the confidence in the tagging of a Instance.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.QBCSequenceConfidenceEstimator
Calculates the confidence in the tagging of a Instance.
estimateConfidenceFor(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.RandomConfidenceEstimator
Randomly generate the confidence in the tagging of a Segment.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.RandomSequenceConfidenceEstimator
Calculates the confidence in the tagging of an Instance.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.SegmentProductConfidenceEstimator
Calculates the confidence in the tagging of a Instance.
estimateConfidenceFor(Segment) - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
Calculates the confidence in the tagging of a Segment.
estimateConfidenceFor(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
 
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator
Calculates the confidence in the tagging of a Sequence.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.ViterbiConfidenceEstimator
Calculates the confidence in the tagging of a Instance.
estimateConfidenceFor(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.ViterbiRatioConfidenceEstimator
Calculates the confidence in the tagging of an Instance.
euclideanDistance(AbstractTableFactor, AbstractTableFactor) - Static method in class cc.mallet.grmm.types.Factors
 
euclideanDistance(SparseVector, SparseVector) - Method in class cc.mallet.types.Minkowski
 
EULER_MASCHERONI - Static variable in class cc.mallet.types.Dirichlet
Actually the negative Euler-Mascheroni constant
evaluate(ClassifierTrainer) - Method in class cc.mallet.classify.ClassifierEvaluator
Evaluates a ClassifierTrainer and its Classifier on the instance lists specified in the constructor.
evaluate(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.AccuracyEvaluator
 
evaluate(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.BCubedEvaluator
 
evaluate(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
 
evaluate(Clustering[], Clustering[]) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
 
evaluate(Clustering[], Clusterer) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
 
evaluate(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluators
 
evaluate(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.MUCEvaluator
 
evaluate(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.PairF1Evaluator
 
evaluate(Neighbor) - Method in class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
 
evaluate(Neighbor[]) - Method in class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
 
evaluate(Neighbor[]) - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator
 
evaluate(Neighbor) - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator
 
evaluate(Neighbor) - Method in interface cc.mallet.cluster.neighbor_evaluator.NeighborEvaluator
 
evaluate(Neighbor[]) - Method in interface cc.mallet.cluster.neighbor_evaluator.NeighborEvaluator
 
evaluate(Neighbor[]) - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator
 
evaluate(Neighbor) - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator
 
evaluate(Neighbor) - Method in class cc.mallet.cluster.neighbor_evaluator.RandomEvaluator
 
evaluate(Neighbor[]) - Method in class cc.mallet.cluster.neighbor_evaluator.RandomEvaluator
 
evaluate(Neighbor) - Method in class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
 
evaluate(Neighbor[]) - Method in class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
 
evaluate(Extraction) - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
 
evaluate(String, Extraction, PrintStream) - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
 
evaluate(Extraction) - Method in interface cc.mallet.extract.ExtractionEvaluator
 
evaluate(Extraction) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
evaluate(Extraction, PrintStream) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
evaluate(Extraction, PrintWriter) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
evaluate(String, Extraction, PrintWriter) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
evaluate(Extraction) - Method in class cc.mallet.extract.PerFieldF1Evaluator
 
evaluate(String, Extraction, PrintStream) - Method in class cc.mallet.extract.PerFieldF1Evaluator
 
evaluate(Transducer, ArrayList, InstanceList, ArrayList, String, PrintStream, boolean) - Method in class cc.mallet.fst.confidence.ConfidenceCorrectorEvaluator
Only evaluates over sequences which contain errors.
evaluate(TransducerEvaluator, InstanceList) - Method in class cc.mallet.fst.CRF
Deprecated. 
evaluate(TransducerTrainer) - Method in class cc.mallet.fst.TransducerEvaluator
Evaluates a TransducerTrainer and its Transducer on the instance lists specified in the constructor.
evaluate(ACRF, int, InstanceList, InstanceList, InstanceList) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
Evalutes the model in the middle of training.
evaluate(ACRF, int, InstanceList, InstanceList, InstanceList) - Method in class cc.mallet.grmm.learning.AcrfSerialEvaluator
 
evaluate(ACRF, int, InstanceList, InstanceList, InstanceList) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.FileEvaluator
 
evaluate(ACRF, int, InstanceList, InstanceList, InstanceList) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.LogEvaluator
 
evaluate(ACRF, int, InstanceList, InstanceList, InstanceList) - Method in class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF
 
evaluate(Optimizable.ByBatchGradient, int, int, int, int[]) - Method in interface cc.mallet.optimize.OptimizerEvaluator.ByBatchGradient
Performs some operation at the end of every batch.
evaluate(Optimizable.ByGradientValue, int) - Method in interface cc.mallet.optimize.OptimizerEvaluator.ByGradient
Performs some operation at the end of each iteration of a maximizer.
evaluateInstanceList(ClassifierTrainer, InstanceList, String) - Method in class cc.mallet.classify.ClassifierAccuracyEvaluator
 
evaluateInstanceList(ClassifierTrainer, InstanceList, String) - Method in class cc.mallet.classify.ClassifierEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.CRFWriter
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.InstanceAccuracyEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.LabelDistributionEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.MultiSegmentationEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.PerClassAccuracyEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.SegmentationEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.TokenAccuracyEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.TransducerEvaluator
 
evaluateInstanceList(TransducerTrainer, InstanceList, String) - Method in class cc.mallet.fst.ViterbiWriter
 
evaluateLeftToRight(InstanceList, int, boolean, PrintStream) - Method in class cc.mallet.topics.MarginalProbEstimator
 
EvaluateTopics - Class in cc.mallet.topics.tui
 
EvaluateTopics() - Constructor for class cc.mallet.topics.tui.EvaluateTopics
 
evaluateTotals() - Method in class cc.mallet.cluster.evaluate.AccuracyEvaluator
 
evaluateTotals() - Method in class cc.mallet.cluster.evaluate.BCubedEvaluator
 
evaluateTotals() - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
 
evaluateTotals() - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluators
 
evaluateTotals() - Method in class cc.mallet.cluster.evaluate.MUCEvaluator
 
evaluateTotals() - Method in class cc.mallet.cluster.evaluate.PairF1Evaluator
 
evaluator - Variable in class cc.mallet.cluster.HillClimbingClusterer
 
evaluator - Variable in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
ewensLikelihoodRatio(int[], int[], double) - Static method in class cc.mallet.types.Dirichlet
Similar to the Dirichlet-multinomial test,s this is a likelihood ratio based on the Ewens Sampling Formula, which can be considered the distribution of partitions of integers generated by the Chinese restaurant process.
ExactMatchComparator - Class in cc.mallet.extract
Created: Nov 23, 2004
ExactMatchComparator() - Constructor for class cc.mallet.extract.ExactMatchComparator
 
ExactSampler - Class in cc.mallet.grmm.inference
Computes an exact sample from the distribution of a given factor graph by forming a junction tree.
ExactSampler() - Constructor for class cc.mallet.grmm.inference.ExactSampler
 
ExactSampler(Randoms) - Constructor for class cc.mallet.grmm.inference.ExactSampler
 
Examples - Class in cc.mallet.util.resources.wn
A class to demonstrate the functionality of the JWNL package.
Examples() - Constructor for class cc.mallet.util.resources.wn.Examples
 
executor - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
executor - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
exp() - Static method in class cc.mallet.grmm.util.Flops
 
exp(int) - Static method in class cc.mallet.grmm.util.Flops
 
exp() - Method in class cc.mallet.types.LogNumber
 
EXP_GAIN - Static variable in class cc.mallet.classify.MCMaxEntTrainer
 
expectation - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
expectation - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
expectation - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
expectation - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
expectation - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
expectation - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
 
expectation - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
expectation - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
 
expectations - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
expectations - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
expectations - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
expectations - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
expectations - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
ExpGain - Class in cc.mallet.types
 
ExpGain(InstanceList, LabelVector[], double) - Constructor for class cc.mallet.types.ExpGain
 
ExpGain(InstanceList, Classification[], double) - Constructor for class cc.mallet.types.ExpGain
 
ExpGain.Factory - Class in cc.mallet.types
 
ExpGain.Factory(LabelVector[]) - Constructor for class cc.mallet.types.ExpGain.Factory
 
ExpGain.Factory(LabelVector[], double) - Constructor for class cc.mallet.types.ExpGain.Factory
 
expNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
 
exponentiate(double) - Method in class cc.mallet.grmm.types.AbstractFactor
 
exponentiate(double) - Method in class cc.mallet.grmm.types.CPT
 
exponentiate(double) - Method in interface cc.mallet.grmm.types.Factor
 
exponentiate(double) - Method in class cc.mallet.grmm.types.FactorGraph
 
exponentiate(double) - Method in class cc.mallet.grmm.types.LogTableFactor
 
exponentiate(double) - Method in class cc.mallet.grmm.types.TableFactor
 
extend(int[], int) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array containing all of a, with additional extra space added (zero initialized).
extend(double[], int) - Static method in class cc.mallet.util.ArrayUtils
Returns a new array containing all of a, with additional extra space added (zero initialized).
extendedDotProduct(DenseVector) - Method in class cc.mallet.types.SparseVector
 
extendedDotProduct(SparseVector) - Method in class cc.mallet.types.SparseVector
 
extract(Object) - Method in class cc.mallet.extract.CRFExtractor
 
extract(Tokenization) - Method in class cc.mallet.extract.CRFExtractor
 
extract(InstanceList) - Method in class cc.mallet.extract.CRFExtractor
Assumes Instance.source contains the Tokenization object.
extract(Iterator<Instance>) - Method in class cc.mallet.extract.CRFExtractor
 
extract(Object) - Method in interface cc.mallet.extract.Extractor
Performs extraction given a raw object.
extract(Tokenization) - Method in interface cc.mallet.extract.Extractor
Performs extraction from an object that has been already been tokenized.
extract(Iterator<Instance>) - Method in interface cc.mallet.extract.Extractor
Performs extraction on a a set of raw documents.
extract(Object) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
extract(Tokenization) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
extract(Iterator<Instance>) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
extract(InstanceList) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
Extraction - Class in cc.mallet.extract
The results of doing information extraction.
Extraction(Extractor, LabelAlphabet) - Constructor for class cc.mallet.extract.Extraction
Creates an empty Extraction option.
Extraction(Extractor, LabelAlphabet, String, Tokenization, Sequence, String) - Constructor for class cc.mallet.extract.Extraction
Creates an extration given a sequence output by some kind of per-sequece labeler, like an HMM or a CRF.
extraction2html(Extraction, CRFExtractor, PrintStream) - Static method in class cc.mallet.extract.LatticeViewer
 
extraction2html(Extraction, CRFExtractor, PrintWriter) - Static method in class cc.mallet.extract.LatticeViewer
 
extraction2html(Extraction, CRFExtractor, PrintStream, boolean) - Static method in class cc.mallet.extract.LatticeViewer
 
extraction2html(Extraction, CRFExtractor, PrintWriter, boolean) - Static method in class cc.mallet.extract.LatticeViewer
 
ExtractionConfidenceEstimator - Class in cc.mallet.extract
Estimates the confidence in the labeling of a LabeledSpan.
ExtractionConfidenceEstimator() - Constructor for class cc.mallet.extract.ExtractionConfidenceEstimator
 
ExtractionEvaluator - Interface in cc.mallet.extract
Created: Oct 8, 2004
extractMax(Variable[]) - Method in class cc.mallet.grmm.types.AbstractFactor
 
extractMax(Collection) - Method in class cc.mallet.grmm.types.AbstractFactor
 
extractMax(Variable) - Method in class cc.mallet.grmm.types.AbstractFactor
 
extractMax(Variable) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
extractMax(Variable[]) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
extractMax(Collection) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
extractMax(Collection) - Method in class cc.mallet.grmm.types.CPT
 
extractMax(Variable) - Method in class cc.mallet.grmm.types.CPT
 
extractMax(Variable[]) - Method in class cc.mallet.grmm.types.CPT
 
extractMax(Collection) - Method in interface cc.mallet.grmm.types.Factor
Returns a potential phi over the given variables obtained by taking phi (x) = max_[all v that contain x] this.prob (x)
extractMax(Variable) - Method in interface cc.mallet.grmm.types.Factor
Returns a potential phi over the given variables obtained by taking phi (x) = max_[all v that contain x] this.prob (x)
extractMax(Variable[]) - Method in interface cc.mallet.grmm.types.Factor
Returns a potential phi over the given variables obtained by taking phi (x) = max_[all v that contain x] this.prob (x)
extractMax(Collection) - Method in class cc.mallet.grmm.types.FactorGraph
 
extractMax(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
 
extractMax(Variable[]) - Method in class cc.mallet.grmm.types.FactorGraph
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.AbstractFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.Assignment
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.BetaFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.ConstantFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.NormalFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.SkeletonFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.UniformFactor
 
extractMaxInternal(VarSet) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
extractMin() - Method in class cc.mallet.util.search.MinHeap
 
extractMin() - Method in interface cc.mallet.util.search.PriorityQueue
Remove the top element of the queue.
extractOnTestData(ACRFExtractor) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
Extractor - Interface in cc.mallet.extract
Generic interface for objects that do information extraction.

F

f(Object) - Method in interface cc.mallet.util.CollectionUtils.Fn
 
f1 - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
Factor - Interface in cc.mallet.grmm.types
Interface for multivariate discrete probability distributions.
FactorGraph - Class in cc.mallet.grmm.types
Class for undirected graphical models.
FactorGraph() - Constructor for class cc.mallet.grmm.types.FactorGraph
 
FactorGraph(Variable[]) - Constructor for class cc.mallet.grmm.types.FactorGraph
Create a model with the variables given.
FactorGraph(Factor[]) - Constructor for class cc.mallet.grmm.types.FactorGraph
 
FactorGraph(Collection) - Constructor for class cc.mallet.grmm.types.FactorGraph
 
FactorGraph(int) - Constructor for class cc.mallet.grmm.types.FactorGraph
Create a model with the given capacity (i.e., capacityin terms of number of variable nodes).
factorial(int) - Static method in class cc.mallet.util.Maths
 
FactorizedRegion - Class in cc.mallet.grmm.inference.gbp
A more space-efficient Region class that doesn't maintain a global factor over all assignments to the region.
FactorizedRegion(List) - Constructor for class cc.mallet.grmm.inference.gbp.FactorizedRegion
 
factorOf(VarSet) - Method in class cc.mallet.grmm.types.FactorGraph
Returns the factor in this graph, if any, whose domain is a given clique.
factorOf(Variable, Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns the factor defined over a given pair of variables.
factorOf(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns the factor for a given node.
factorOf(Collection) - Method in class cc.mallet.grmm.types.FactorGraph
Searches the graphical model for a factor over the given collection of variables.
factorProduct(Assignment) - Method in class cc.mallet.grmm.types.FactorGraph
Returns the unnormalized probability for an assignment to the model.
factors - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
factors() - Method in class cc.mallet.grmm.types.FactorGraph
Returns collection that contains factors in this model.
Factors - Class in cc.mallet.grmm.types
A static utility class containing utility methods for dealing with factors, especially TableFactor objects.
Factors() - Constructor for class cc.mallet.grmm.types.Factors
 
factorsIterator() - Method in class cc.mallet.grmm.types.FactorGraph
Returns an iterator of all the factors in the graph.
FALSE_NEGATIVE - Static variable in class cc.mallet.types.ROCData
 
FALSE_POSITIVE - Static variable in class cc.mallet.types.ROCData
 
FeatureConjunction - Class in cc.mallet.types
 
FeatureConjunction(String, Alphabet, int[], boolean[], boolean, boolean, boolean) - Constructor for class cc.mallet.types.FeatureConjunction
If negations[i] is true, insist that the feature has non-zero value; if false, insist that it has zero value.
FeatureConjunction(String, Alphabet, int[], boolean[], boolean) - Constructor for class cc.mallet.types.FeatureConjunction
 
FeatureConjunction(String, Alphabet, int[], boolean[]) - Constructor for class cc.mallet.types.FeatureConjunction
 
FeatureConjunction(Alphabet, int[], boolean[]) - Constructor for class cc.mallet.types.FeatureConjunction
 
FeatureConjunction(Alphabet, int[]) - Constructor for class cc.mallet.types.FeatureConjunction
 
FeatureConjunction.List - Class in cc.mallet.types
 
FeatureConjunction.List() - Constructor for class cc.mallet.types.FeatureConjunction.List
 
FeatureConstraintUtil - Class in cc.mallet.classify
Utility functions for creating feature constraints that can be used with GE training.
FeatureConstraintUtil() - Constructor for class cc.mallet.classify.FeatureConstraintUtil
 
FeatureCounter - Class in cc.mallet.types
Efficient, compact, incremental counting of features in an alphabet.
FeatureCounter(Alphabet) - Constructor for class cc.mallet.types.FeatureCounter
 
FeatureCounter - Class in cc.mallet.util
 
FeatureCounter(InstanceList) - Constructor for class cc.mallet.util.FeatureCounter
 
FeatureCountPipe - Class in cc.mallet.pipe
Pruning low-count features can be a good way to save memory and computation.
FeatureCountPipe() - Constructor for class cc.mallet.pipe.FeatureCountPipe
 
FeatureCountPipe(Alphabet, Alphabet) - Constructor for class cc.mallet.pipe.FeatureCountPipe
 
FeatureCounts - Class in cc.mallet.types
 
FeatureCounts(InstanceList) - Constructor for class cc.mallet.types.FeatureCounts
 
FeatureCounts(Alphabet, double[]) - Constructor for class cc.mallet.types.FeatureCounts
 
FeatureCounts.Factory - Class in cc.mallet.types
 
FeatureCounts.Factory() - Constructor for class cc.mallet.types.FeatureCounts.Factory
 
FeatureDocFreqPipe - Class in cc.mallet.pipe
Pruning low-count features can be a good way to save memory and computation.
FeatureDocFreqPipe() - Constructor for class cc.mallet.pipe.FeatureDocFreqPipe
 
FeatureDocFreqPipe(Alphabet, Alphabet) - Constructor for class cc.mallet.pipe.FeatureDocFreqPipe
 
FeatureInducer - Class in cc.mallet.types
 
FeatureInducer(RankedFeatureVector.Factory, InstanceList, int, int, int) - Constructor for class cc.mallet.types.FeatureInducer
 
FeatureInducer(RankedFeatureVector.Factory, InstanceList, int) - Constructor for class cc.mallet.types.FeatureInducer
 
featureInducers - Variable in class cc.mallet.fst.CRF
 
featurePipe - Variable in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
FeatureSelectingClassifierTrainer - Class in cc.mallet.classify
Adaptor for adding feature selection to a classifier trainer.
FeatureSelectingClassifierTrainer(ClassifierTrainer, FeatureSelector) - Constructor for class cc.mallet.classify.FeatureSelectingClassifierTrainer
 
featureSelection - Variable in class cc.mallet.classify.MaxEnt
 
featureSelection - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
FeatureSelection - Class in cc.mallet.types
 
FeatureSelection(Alphabet, BitSet) - Constructor for class cc.mallet.types.FeatureSelection
 
FeatureSelection(Alphabet) - Constructor for class cc.mallet.types.FeatureSelection
 
FeatureSelection(RankedFeatureVector, int) - Constructor for class cc.mallet.types.FeatureSelection
 
featureSelections - Variable in class cc.mallet.fst.CRF
 
FeatureSelector - Class in cc.mallet.types
 
FeatureSelector(RankedFeatureVector.Factory, int) - Constructor for class cc.mallet.types.FeatureSelector
 
FeatureSelector(RankedFeatureVector.Factory, double) - Constructor for class cc.mallet.types.FeatureSelector
 
FeatureSelector(RankedFeatureVector.PerLabelFactory, int) - Constructor for class cc.mallet.types.FeatureSelector
 
FeatureSelector(RankedFeatureVector.PerLabelFactory, double) - Constructor for class cc.mallet.types.FeatureSelector
 
FeatureSequence - Class in cc.mallet.types
An implementation of Sequence that ensures that every Object in the sequence has the same class.
FeatureSequence(Alphabet, int[]) - Constructor for class cc.mallet.types.FeatureSequence
Creates a FeatureSequence given all of the objects in the sequence.
FeatureSequence(Alphabet, int[], int) - Constructor for class cc.mallet.types.FeatureSequence
 
FeatureSequence(Alphabet, int) - Constructor for class cc.mallet.types.FeatureSequence
 
FeatureSequence(Alphabet) - Constructor for class cc.mallet.types.FeatureSequence
 
FeatureSequence2AugmentableFeatureVector - Class in cc.mallet.pipe
Convert the data field from a feature sequence to an augmentable feature vector.
FeatureSequence2AugmentableFeatureVector(boolean) - Constructor for class cc.mallet.pipe.FeatureSequence2AugmentableFeatureVector
 
FeatureSequence2AugmentableFeatureVector() - Constructor for class cc.mallet.pipe.FeatureSequence2AugmentableFeatureVector
 
FeatureSequence2FeatureVector - Class in cc.mallet.pipe
Convert the data field from a feature sequence to a feature vector.
FeatureSequence2FeatureVector(boolean) - Constructor for class cc.mallet.pipe.FeatureSequence2FeatureVector
 
FeatureSequence2FeatureVector() - Constructor for class cc.mallet.pipe.FeatureSequence2FeatureVector
 
FeatureSequenceConvolution - Class in cc.mallet.pipe
 
FeatureSequenceConvolution() - Constructor for class cc.mallet.pipe.FeatureSequenceConvolution
 
FeatureSequenceWithBigrams - Class in cc.mallet.types
A FeatureSequence with a parallel record of bigrams, kept in a separate dictionary
FeatureSequenceWithBigrams(Alphabet, Alphabet, TokenSequence) - Constructor for class cc.mallet.types.FeatureSequenceWithBigrams
 
featuresFile - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
FeaturesInWindow - Class in cc.mallet.pipe.tsf
 
FeaturesInWindow(String, int, int, Pattern, boolean) - Constructor for class cc.mallet.pipe.tsf.FeaturesInWindow
 
FeaturesInWindow(String, int, int) - Constructor for class cc.mallet.pipe.tsf.FeaturesInWindow
equivalent to
FeaturesInWindow((namePrefix, leftBoundaryOffset, rightBoundaryOffset, null, true);
FeaturesOfFirstMention - Class in cc.mallet.pipe.tsf
 
FeaturesOfFirstMention(String, String, Pattern) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
 
FeaturesOfFirstMention(String, Pattern, Pattern, boolean) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
 
FeaturesOfFirstMention(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
 
FeaturesOfFirstMention(String) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
 
featuresOverlap(Alphabet, int, int) - Static method in class cc.mallet.types.FeatureConjunction
 
FeatureTransducer - Class in cc.mallet.fst
 
FeatureTransducer(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.FeatureTransducer
 
FeatureTransducer(Alphabet) - Constructor for class cc.mallet.fst.FeatureTransducer
 
FeatureTransducer() - Constructor for class cc.mallet.fst.FeatureTransducer
 
FeatureTransducer.State - Class in cc.mallet.fst
 
FeatureTransducer.State(String, int, double, double, int[], int[], double[], String[], FeatureTransducer) - Constructor for class cc.mallet.fst.FeatureTransducer.State
 
FeatureTransducer.Transition - Class in cc.mallet.fst
 
FeatureTransducer.Transition(int, int, double, FeatureTransducer.State, String) - Constructor for class cc.mallet.fst.FeatureTransducer.Transition
 
FeatureTransducer.TransitionIterator - Class in cc.mallet.fst
 
FeatureTransducer.TransitionIterator(FeatureTransducer.State) - Constructor for class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
FeatureTransducer.TransitionIterator(FeatureTransducer.State, int) - Constructor for class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
FeatureValueString2FeatureVector - Class in cc.mallet.pipe
 
FeatureValueString2FeatureVector(Alphabet) - Constructor for class cc.mallet.pipe.FeatureValueString2FeatureVector
 
FeatureValueString2FeatureVector() - Constructor for class cc.mallet.pipe.FeatureValueString2FeatureVector
 
FeatureVector - Class in cc.mallet.types
A subset of an Alphabet in which each element of the subset has an associated value.
FeatureVector(Alphabet, int[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.FeatureVector
Create a dense vector
FeatureVector(Alphabet, int[], double[]) - Constructor for class cc.mallet.types.FeatureVector
Create non-binary vector, possibly dense if "featureIndices" or possibly sparse, if not
FeatureVector(Alphabet, int[]) - Constructor for class cc.mallet.types.FeatureVector
Create binary vector
FeatureVector(Alphabet, Object[], double[]) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVector(FeatureSequence, boolean) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVector(FeatureSequence) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVector(Alphabet, PropertyList, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVector(Alphabet, PropertyList, boolean) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVector(FeatureVector, Alphabet, int[]) - Constructor for class cc.mallet.types.FeatureVector
New feature vector containing all the features of "fv", plus new features created by making conjunctions between the features in "conjunctions" and all the other features.
FeatureVector(FeatureVector, Alphabet, FeatureSelection, FeatureSelection) - Constructor for class cc.mallet.types.FeatureVector
 
FeatureVectorConjunctions - Class in cc.mallet.pipe
Include in the FeatureVector conjunctions of all its features.
FeatureVectorConjunctions() - Constructor for class cc.mallet.pipe.FeatureVectorConjunctions
 
FeatureVectorSequence - Class in cc.mallet.types
 
FeatureVectorSequence(FeatureVector[]) - Constructor for class cc.mallet.types.FeatureVectorSequence
 
FeatureVectorSequence(Alphabet, TokenSequence, boolean, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVectorSequence
 
FeatureVectorSequence(Alphabet, TokenSequence, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVectorSequence
 
FeatureVectorSequence(Alphabet, TokenSequence) - Constructor for class cc.mallet.types.FeatureVectorSequence
 
FeatureVectorSequence.Iterator - Class in cc.mallet.types
An iterator over the FeatureVectors in the sequence.
FeatureVectorSequence.Iterator() - Constructor for class cc.mallet.types.FeatureVectorSequence.Iterator
 
FeatureVectorSequence2FeatureVectors - Class in cc.mallet.pipe
Given instances with a FeatureVectorSequence in the data field, break up the sequence into the individual FeatureVectors, producing one FeatureVector per Instance.
FeatureVectorSequence2FeatureVectors() - Constructor for class cc.mallet.pipe.FeatureVectorSequence2FeatureVectors
 
FeatureWindow - Class in cc.mallet.share.upenn.ner
Adds all features of tokens in the window to the center token.
FeatureWindow(int, int) - Constructor for class cc.mallet.share.upenn.ner.FeatureWindow
 
Field - Class in cc.mallet.extract
Created: Oct 12, 2004
Field(LabeledSpan) - Constructor for class cc.mallet.extract.Field
 
fieldAlphabet() - Method in class cc.mallet.cluster.Record
 
FieldCleaner - Interface in cc.mallet.extract
Interface for functions that are used to clean up field values after extraction has been performed.
FieldComparator - Interface in cc.mallet.extract
Interface for functions that compares extracted values of a field to see if they match.
fields() - Method in class cc.mallet.cluster.Record
 
fieldsIterator() - Method in class cc.mallet.extract.Record
 
FIFTY_PERCENT_INDEX - Static variable in class cc.mallet.topics.TopicModelDiagnostics
 
FileIterator - Class in cc.mallet.pipe.iterator
An iterator that generates instances from an initial directory or set of directories.
FileIterator(File[], FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileIterator
Construct a FileIterator that will supply filenames within initial directories as instances
FileIterator(File[], FileFilter, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File[], Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
Iterate over Files that pass the fileFilter test, setting...
FileIterator(File[], Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String[], FileFilter) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String[], String) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String[], Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String[], Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File, FileFilter, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File, FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File, FileFilter) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(File) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileIterator(String, FileFilter) - Constructor for class cc.mallet.pipe.iterator.FileIterator
 
FileListIterator - Class in cc.mallet.pipe.iterator
An iterator that generates instances for a pipe from a list of filenames.
FileListIterator(File[], FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileListIterator
Construct an iterator over the given arry of Files The instances constructed from the files are returned in the same order as they appear in the given array
FileListIterator(String[], FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileListIterator
 
FileListIterator(File, FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileListIterator
Construct a FileListIterator with the file containing the list of files, which contains one filename per line.
FileListIterator(File, File, FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileListIterator
Construct a FileListIterator with the file containing the list of files of RELATIVE pathnames, one filename per line.
FileListIterator(String, FileFilter, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.FileListIterator
 
FileListIterator(String, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileListIterator
 
Filename2CharSequence - Class in cc.mallet.pipe
Given a filename contained in a string, read in contents of file into a CharSequence.
Filename2CharSequence() - Constructor for class cc.mallet.pipe.Filename2CharSequence
 
filenameToUriString(String) - Static method in class cc.mallet.util.UriUtils
 
FileUriIterator - Class in cc.mallet.pipe.iterator
 
FileUriIterator(File[], FileFilter, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileUriIterator
 
FileUriIterator(File, FileFilter, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileUriIterator
 
FileUriIterator(File[], Pattern) - Constructor for class cc.mallet.pipe.iterator.FileUriIterator
 
FileUriIterator(File, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileUriIterator
 
FileUtils - Class in cc.mallet.util
Contains static utilities for manipulating files.
FilterEmptyFeatureVectors - Class in cc.mallet.pipe
 
FilterEmptyFeatureVectors() - Constructor for class cc.mallet.pipe.FilterEmptyFeatureVectors
 
finalProbList - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
finalWeights - Variable in class cc.mallet.fst.CRF.Factors
 
findCluster(Variable[]) - Method in class cc.mallet.grmm.inference.JunctionTree
Returns a cluster in the tree that contains exactly the given variables, or null if no such cluster exists.
findParentCluster(Variable) - Method in class cc.mallet.grmm.inference.JunctionTree
Returns a cluster in the tree that contains var.
findParentCluster(Collection) - Method in class cc.mallet.grmm.inference.JunctionTree
Returns a cluster in the tree that contains all the vars in a collection.
findVariable(String) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
findVariable(String) - Method in class cc.mallet.grmm.types.FactorGraph
Searches this model for a variable with a given name.
finishedTraining - Variable in class cc.mallet.classify.ClassifierTrainer
 
FIRST_DIRECTORY - Static variable in class cc.mallet.pipe.iterator.FileIterator
Use as label names the first directory in the filename.
FIRST_DIRECTORY - Static variable in class cc.mallet.pipe.iterator.FileListIterator
Use as label names the first directory in the filename.
FIRST_DIRECTORY - Static variable in class cc.mallet.pipe.iterator.UnlabeledFileIterator
Use as label names the first directory in the filename.
FirstOrderClusterExample - Class in cc.mallet.cluster.examples
Illustrates use of a supervised clustering method that uses features over clusters.
FirstOrderClusterExample() - Constructor for class cc.mallet.cluster.examples.FirstOrderClusterExample
 
five - Variable in class cc.mallet.util.Univariate
 
Flops - Class in cc.mallet.grmm.util
Utilities for flop (floating-point operation) counting.
Flops() - Constructor for class cc.mallet.grmm.util.Flops
 
Flops.Watch - Class in cc.mallet.grmm.util
 
Flops.Watch() - Constructor for class cc.mallet.grmm.util.Flops.Watch
 
forceStale() - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
forEach(TObjectProcedure, Object[]) - Static method in class cc.mallet.util.ArrayUtils
 
forEach(TObjectProcedure, Object[][]) - Static method in class cc.mallet.util.ArrayUtils
 
format(LogRecord) - Method in class cc.mallet.util.PlainLogFormatter
 
format(LogRecord) - Method in class cc.mallet.util.ProgressMessageLogFormatter
 
formatString() - Method in class cc.mallet.types.StringEditVector
 
formatter - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
formatter - Variable in class cc.mallet.topics.NPTopicModel
 
formatter - Variable in class cc.mallet.topics.ParallelTopicModel
 
formatter - Variable in class cc.mallet.topics.PolylingualTopicModel
 
formatter - Variable in class cc.mallet.topics.SimpleLDA
 
forwardLattice(double[][], double[][][]) - Method in class cc.mallet.fst.semi_supervised.EntropyLattice
Computes the forward entropies (H^alpha).
freezeWeights(int) - Method in class cc.mallet.fst.CRF
Freezes a set of weights to their current values.
freezeWeights(String) - Method in class cc.mallet.fst.CRF
Freezes a set of weights to their current values.
from() - Method in class cc.mallet.grmm.inference.MessageArray.Iterator
 
FSTConstraintUtil - Class in cc.mallet.fst.semi_supervised
Expectation constraint utilities for fst package.
FSTConstraintUtil() - Constructor for class cc.mallet.fst.semi_supervised.FSTConstraintUtil
 
FullMessageStrategy - Class in cc.mallet.grmm.inference.gbp
A first implementation of MessageStrategy that assumes that a BP region graph is being used.
FullMessageStrategy() - Constructor for class cc.mallet.grmm.inference.gbp.FullMessageStrategy
 

G

GainRatio - Class in cc.mallet.types
List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information.
GainRatio(Alphabet, double[], double[], double, LabelVector, int, int) - Constructor for class cc.mallet.types.GainRatio
 
gamma - Static variable in class cc.mallet.classify.tests.TestStaticParameters.Factory
 
gamma - Variable in class cc.mallet.topics.NPTopicModel
 
gamma(double) - Static method in class cc.mallet.util.Maths
 
GammaAverageConfidenceEstimator - Class in cc.mallet.fst.confidence
Calculates the confidence in an extracted segment by taking the average of P(s_i|o) for each state in the segment.
GammaAverageConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.GammaAverageConfidenceEstimator
 
GammaProductConfidenceEstimator - Class in cc.mallet.fst.confidence
Calculates the confidence in an extracted segment by taking the product of eP(s_i|o) for each state in the segment.
GammaProductConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.GammaProductConfidenceEstimator
 
gammas - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
gatherConstraints(InstanceList) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
Set the constraints by running forward-backward with the output label sequence provided, thus restricting it to only those paths that agree with the label sequence.
gatherConstraints(InstanceList) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
gatherConstraints(PRAuxiliaryModel, double[][][][]) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
gatherExpectationsOrConstraints(boolean) - Method in class cc.mallet.fst.MEMMTrainer.MEMMOptimizableByLabelLikelihood
 
gaussianPrior(double) - Method in class cc.mallet.fst.CRF.Factors
Return the log(p(parameters)) according to a zero-mean Gaussian with given variance.
gaussianPriorVariance - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
gaussianPriorVariance - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
GEConstraint - Interface in cc.mallet.fst.semi_supervised.constraints
Interface for GE constraint that considers either one or two states.
GELattice - Class in cc.mallet.fst.semi_supervised
Runs the dynamic programming algorithm of [Mann and McCallum 08] for computing the gradient of a Generalized Expectation constraint that considers a single label of a linear chain CRF.
GELattice(FeatureVectorSequence, double[][], double[][][], Transducer, int[][], int[][], CRF.Factors, ArrayList<GEConstraint>, boolean) - Constructor for class cc.mallet.fst.semi_supervised.GELattice
 
GELattice.LatticeNode - Class in cc.mallet.fst.semi_supervised
Contains forward-backward vectors correspoding to an input position and a state index.
GELattice.LatticeNode() - Constructor for class cc.mallet.fst.semi_supervised.GELattice.LatticeNode
 
GeneralUtils - Class in cc.mallet.grmm.util
Static utility methods that didn't seem to belong anywhere else.
generateAttractivePotentialValues(Random, double) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
generateMixedPotentialValues(Random, double) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
generatePath() - Method in class cc.mallet.fst.Transducer
 
generateStoplist(SimpleTokenizer) - Static method in class cc.mallet.util.BulkLoader
Read the data from inputFile, then write all the words that do not occur pruneCount.value times or more to the pruned word file.
GenericAcrfData2TokenSequence - Class in cc.mallet.grmm.learning
Generic pipe that takes a linegroup of the form:
GenericAcrfData2TokenSequence() - Constructor for class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
GenericAcrfData2TokenSequence(int) - Constructor for class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
GenericAcrfTui - Class in cc.mallet.grmm.learning
 
GenericAcrfTui() - Constructor for class cc.mallet.grmm.learning.GenericAcrfTui
 
get(int) - Method in class cc.mallet.cluster.Clusterings
 
get(int, int) - Method in class cc.mallet.cluster.util.PairwiseMatrix
 
get(Object, Object) - Method in class cc.mallet.grmm.inference.MessageArray
 
get(Variable, Factor) - Method in class cc.mallet.grmm.inference.MessageArray
 
get(Factor, Variable) - Method in class cc.mallet.grmm.inference.MessageArray
 
get(int) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
get(Variable) - Method in class cc.mallet.grmm.types.Assignment
 
get(int, Variable) - Method in class cc.mallet.grmm.types.Assignment
Returns the value of var in this assigment.
get(int) - Method in class cc.mallet.grmm.types.BitVarSet
 
get(int) - Method in class cc.mallet.grmm.types.FactorGraph
Returns a variable from this model with a given index.
get(int) - Method in class cc.mallet.grmm.types.HashVarSet
 
get(int) - Method in class cc.mallet.grmm.types.ListVarSet
 
get(int, int) - Method in class cc.mallet.grmm.types.UndirectedGrid
 
get(int) - Method in class cc.mallet.grmm.types.Universe
 
get(int) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
get(int) - Method in interface cc.mallet.grmm.types.VarSet
Returns the variable in this clique at index idx.
get(int, int) - Method in class cc.mallet.grmm.util.CSIntInt2ObjectMultiMap
 
get(int, int) - Method in class cc.mallet.grmm.util.MIntInt2ObjectMap
 
get(Object) - Method in class cc.mallet.grmm.util.THashMultiMap
 
get(int) - Method in class cc.mallet.types.ArraySequence
 
get(int) - Method in class cc.mallet.types.FeatureConjunction.List
 
get(int) - Method in class cc.mallet.types.FeatureCounter
 
get(Object) - Method in class cc.mallet.types.FeatureCounter
Unlike increment(Object), this method does not add the entry to the Alphabet if it is not there already.
get(int) - Method in class cc.mallet.types.FeatureSequence
 
get(int) - Method in class cc.mallet.types.FeatureVectorSequence
 
get(int) - Method in class cc.mallet.types.Labels
 
get(int) - Method in class cc.mallet.types.LabelsSequence
 
get(int) - Method in class cc.mallet.types.MultiInstanceList
 
get(int) - Method in class cc.mallet.types.PagedInstanceList
Returns the Instance at the specified index.
get(int) - Method in interface cc.mallet.types.Sequence
 
get(int) - Method in class cc.mallet.util.DoubleList
 
getAccuracy(InstanceList) - Method in class cc.mallet.classify.Classifier
 
getAccuracy() - Method in class cc.mallet.classify.Trial
Return the fraction of instances that have the correct label as their best predicted label.
getAccuracy(String) - Method in class cc.mallet.fst.InstanceAccuracyEvaluator
 
getAccuracy(String) - Method in class cc.mallet.fst.TokenAccuracyEvaluator
Returns the accuracy from the last time test() or evaluate() was called
getAccuracyCoverageValues() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
get accuracy at coverage for each bin of values
getAccuracyRecallValues(int) - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
get accuracy at recall for each bin of values
getAcrf() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
getAdjacentVertices(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns all variables that are adjacent to a given variable in this graph---that is, the set of all variables that share a factor with this one.
getAlpha(int, int, int) - Method in class cc.mallet.fst.semi_supervised.GELattice
 
getAlpha(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getAlpha(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getAlpha(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getAlpha(int, Transducer.State) - Method in interface cc.mallet.fst.SumLattice
 
getAlpha(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeBeam
 
getAlpha(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeDefault
 
getAlpha(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeScaling
 
getAlphabet() - Method in class cc.mallet.classify.Classifier
 
getAlphabet() - Method in class cc.mallet.classify.NaiveBayesTrainer
 
getAlphabet() - Method in class cc.mallet.grmm.util.LabelsAssignment
 
getAlphabet() - Method in class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
getAlphabet() - Method in class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
getAlphabet() - Method in class cc.mallet.pipe.Pipe
 
getAlphabet() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getAlphabet() - Method in class cc.mallet.topics.ParallelTopicModel
 
getAlphabet() - Method in class cc.mallet.topics.SimpleLDA
 
getAlphabet() - Method in interface cc.mallet.types.AlphabetCarrying
 
getAlphabet() - Method in class cc.mallet.types.Dirichlet
 
getAlphabet() - Method in class cc.mallet.types.FeatureSelection
 
getAlphabet() - Method in class cc.mallet.types.FeatureSequence
 
getAlphabet() - Method in class cc.mallet.types.FeatureVector
 
getAlphabet() - Method in class cc.mallet.types.FeatureVectorSequence
 
getAlphabet() - Method in class cc.mallet.types.Instance
 
getAlphabet() - Method in class cc.mallet.types.InstanceList
 
getAlphabet() - Method in class cc.mallet.types.Label
 
getAlphabet() - Method in class cc.mallet.types.Labelings
 
getAlphabet() - Method in class cc.mallet.types.Labels
 
getAlphabet() - Method in class cc.mallet.types.LabelsSequence
 
getAlphabet() - Method in class cc.mallet.types.Multinomial
 
getAlphabet() - Method in class cc.mallet.types.NullLabel
 
getAlphabet() - Method in class cc.mallet.types.ROCData
 
getAlphabets() - Method in class cc.mallet.classify.Classifier
 
getAlphabets() - Method in class cc.mallet.classify.NaiveBayesTrainer
 
getAlphabets() - Method in class cc.mallet.grmm.util.LabelsAssignment
 
getAlphabets() - Method in class cc.mallet.pipe.Pipe
 
getAlphabets() - Method in interface cc.mallet.types.AlphabetCarrying
 
getAlphabets() - Method in class cc.mallet.types.FeatureSelection
 
getAlphabets() - Method in class cc.mallet.types.FeatureSequence
 
getAlphabets() - Method in class cc.mallet.types.FeatureVector
 
getAlphabets() - Method in class cc.mallet.types.FeatureVectorSequence
 
getAlphabets() - Method in class cc.mallet.types.Instance
 
getAlphabets() - Method in class cc.mallet.types.InstanceList
 
getAlphabets() - Method in class cc.mallet.types.Label
 
getAlphabets() - Method in class cc.mallet.types.Labelings
 
getAlphabets() - Method in class cc.mallet.types.Labels
 
getAlphabets() - Method in class cc.mallet.types.LabelsSequence
 
getAlphabets() - Method in class cc.mallet.types.NullLabel
 
getAlphabets() - Method in class cc.mallet.types.ROCData
 
getAssignment() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
Returns an Assignment object that corresponds to the LabelSequence for which this graph was unrolled.
getAssignmentsPresent() - Method in class cc.mallet.grmm.learning.ACRF.Template
 
getAuxiliaryValueContribution(double[]) - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
getAuxiliaryValueContribution(double[]) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
getAuxiliaryValueContribution(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
getAuxiliaryValueContribution(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
getAuxiliaryValueContribution(double[]) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
getAuxModel() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getAverageAccuracy() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
getAverageCorrectConfidence() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
Average confidence score for the incorrect entities
getAverageIncorrectConfidence() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
Average confidence score for the incorrect entities
getAveragePrecision() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
IR Average precision measure.
getAverageRank(InstanceList) - Method in class cc.mallet.classify.Classifier
 
getAverageRank() - Method in class cc.mallet.classify.Trial
Return the average rank of the correct class label as returned by Labeling.getRank(correctLabel) on the predicted Labeling.
getBackgroundTag() - Method in class cc.mallet.extract.CRFExtractor
 
getBackgroundTag() - Method in class cc.mallet.extract.DocumentExtraction
 
getBaseEntropy() - Method in class cc.mallet.types.GainRatio
 
getBaseEntropy() - Method in class cc.mallet.types.InfoGain
 
getBaseLabelDistribution() - Method in class cc.mallet.types.GainRatio
 
getBaseLabelDistribution() - Method in class cc.mallet.types.InfoGain
 
getBaseModel() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getBatchValue(int, int[]) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
Returns the log probability of a batch of training sequence labels and the prior over parameters, if last batch then incorporate the prior on parameters as well.
getBatchValue(int, int[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByBatchGradient
 
getBatchValue(int, int[]) - Method in interface cc.mallet.optimize.Optimizable.ByBatchGradient
 
getBatchValue(int, int[]) - Method in interface cc.mallet.optimize.Optimizable.ByCombiningBatchGradient
 
getBatchValueGradient(double[], int, int[]) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getBatchValueGradient(double[], int, int[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByBatchGradient
 
getBatchValueGradient(double[], int, int[]) - Method in interface cc.mallet.optimize.Optimizable.ByBatchGradient
 
getBatchValueGradient(double[], int, int[]) - Method in interface cc.mallet.optimize.Optimizable.ByCombiningBatchGradient
 
getBeamWidth() - Method in class cc.mallet.fst.SumLatticeBeam
 
getBestIndex() - Method in class cc.mallet.types.Label
 
getBestIndex() - Method in interface cc.mallet.types.Labeling
 
getBestIndex() - Method in class cc.mallet.types.LabelVector
 
getBestLabel() - Method in class cc.mallet.types.Label
 
getBestLabel() - Method in interface cc.mallet.types.Labeling
 
getBestLabel() - Method in class cc.mallet.types.LabelVector
 
getBestLabels(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF
 
getBestLabels(Instance) - Method in class cc.mallet.grmm.learning.ACRF
 
getBestValue() - Method in class cc.mallet.types.Label
 
getBestValue() - Method in interface cc.mallet.types.Labeling
 
getBestValue() - Method in class cc.mallet.types.LabelVector
 
getBeta(int, int, int) - Method in class cc.mallet.fst.semi_supervised.GELattice
 
getBeta(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getBeta(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getBeta(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getBeta(int, Transducer.State) - Method in interface cc.mallet.fst.SumLattice
 
getBeta(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeBeam
 
getBeta(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeDefault
 
getBeta(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeScaling
 
getBiAlphabet() - Method in class cc.mallet.types.FeatureSequenceWithBigrams
 
getBigramAlphabet() - Method in class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
 
getBiIndexAtPosition(int) - Method in class cc.mallet.types.FeatureSequenceWithBigrams
 
getBitSet() - Method in class cc.mallet.types.FeatureSelection
 
getCachedDots() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getCachedGradient(double[]) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getCharSequence() - Method in class cc.mallet.util.CharSequenceLexer
 
getChild() - Method in class cc.mallet.grmm.types.CPT
 
getChildren(Object) - Method in class cc.mallet.grmm.types.Tree
 
getClassificationProbs(Instance, double[]) - Method in class cc.mallet.classify.PRAuxClassifier
 
getClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.MaxEnt
 
getClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.MCMaxEnt
 
getClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.PRAuxClassifier
 
getClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.RankMaxEnt
 
getClassificationScoresForTies(Instance, double[], int[]) - Method in class cc.mallet.classify.RankMaxEnt
Used by RankMaxEntTrainer to calculate the value when the labeling contains ties.
getClassificationScoresWithTemperature(Instance, double, double[]) - Method in class cc.mallet.classify.MaxEnt
 
getClassifier() - Method in class cc.mallet.classify.AdaBoostM2Trainer
 
getClassifier() - Method in class cc.mallet.classify.AdaBoostTrainer
 
getClassifier() - Method in class cc.mallet.classify.BaggingTrainer
 
getClassifier() - Method in class cc.mallet.classify.BalancedWinnowTrainer
 
getClassifier() - Method in class cc.mallet.classify.C45Trainer
 
getClassifier() - Method in class cc.mallet.classify.Classification
 
getClassifier() - Method in class cc.mallet.classify.ClassifierEnsembleTrainer
 
getClassifier() - Method in class cc.mallet.classify.ClassifierTrainer
 
getClassifier() - Method in class cc.mallet.classify.ConfidencePredictingClassifierTrainer
 
getClassifier() - Method in class cc.mallet.classify.DecisionTreeTrainer
 
getClassifier() - Method in class cc.mallet.classify.FeatureSelectingClassifierTrainer
 
getClassifier() - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
getClassifier() - Method in class cc.mallet.classify.MaxEntGETrainer
 
getClassifier() - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getClassifier() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
getClassifier() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
getClassifier() - Method in class cc.mallet.classify.MaxEntPRTrainer
 
getClassifier() - Method in class cc.mallet.classify.MaxEntTrainer
 
getClassifier() - Method in class cc.mallet.classify.MCMaxEntTrainer
 
getClassifier() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
getClassifier() - Method in class cc.mallet.classify.NaiveBayesTrainer
 
getClassifier() - Method in class cc.mallet.classify.Trial
 
getClassifier() - Method in class cc.mallet.classify.WinnowTrainer
 
getClassifier() - Method in class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
 
getClassifier() - Method in class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
 
getClassifier() - Method in class cc.mallet.topics.DMROptimizable
 
getClassPrior(int) - Method in class cc.mallet.classify.evaluate.ConfusionMatrix
Returns the percentage of instances with true label = classIndex
getCluster(int) - Method in class cc.mallet.cluster.Clustering
Return an list of instances with a particular label.
getClustering() - Method in class cc.mallet.cluster.iterator.NeighborIterator
 
getClusterMeans() - Method in class cc.mallet.cluster.KMeans
Return the ArrayList of cluster means after a run of the algorithm.
getClusters() - Method in class cc.mallet.cluster.Clustering
Returns an array of instance lists corresponding to clusters.
getCodocumentMatrix(int) - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getCoherence() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getCollectGarbage() - Method in class cc.mallet.types.PagedInstanceList
 
getColumnInt(Variable) - Method in class cc.mallet.grmm.types.Assignment
 
getCombinedInstances(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
getCommandOption(int) - Method in class cc.mallet.util.CommandOption.List
 
getCommandOptionList() - Static method in class cc.mallet.classify.MCMaxEntTrainer
 
getCommandOptionList() - Method in interface cc.mallet.util.CommandOption.ListProviding
 
getComparator() - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
 
getComparator() - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
getComparator() - Method in class cc.mallet.extract.PerFieldF1Evaluator
 
getCompleteValueContrib() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
getCompleteValueContribution() - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
getCompleteValueContribution() - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
getCompleteValueContribution(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
getCompleteValueContribution(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
getCompleteValueContribution(double[]) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
getCompleteValueContribution() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getCompleteValueContribution() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getCompositeConstraintFeatureValue(FeatureVector, int) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
getCompositeConstraintFeatureValue(FeatureVector, int) - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
Computes the composite constraint feature value (over all constraint features) for FeatureVector fv and label label.
getCompositeConstraintFeatureValue(FeatureVector, int) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
getCompositeConstraintFeatureValue(FeatureVector, int, int, int) - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
Computes the composite constraint feature value (over all constraint features) for FeatureVector fv and a transition from state li1 to li2.
getCompositeConstraintFeatureValue(FeatureVector, int, int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
getCompositeConstraintFeatureValue(FeatureVector, int, int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
getCompositeConstraintFeatureValue(FeatureVector, int, int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
getCompositeConstraintFeatureValue(FeatureVector, int, int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
getConfidence() - Method in class cc.mallet.extract.LabeledSpan
 
getConfidence() - Method in class cc.mallet.fst.confidence.InstanceWithConfidence
 
getConfidence() - Method in class cc.mallet.fst.confidence.PipedInstanceWithConfidence
 
getConfidence() - Method in class cc.mallet.fst.Segment
 
getConfidenceMean() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
getConfidenceStandardDeviation() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
Standard deviation of confidence scores
getConfidenceSum() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
getConfusionBetween(int, int) - Method in class cc.mallet.classify.evaluate.ConfusionMatrix
Returns percent of time that class2 is true class when class1 is predicted class
getConstraint(int) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getConstraintFeatures() - Method in class cc.mallet.classify.PRAuxClassifier
 
getConstraints(int) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
getConstraints(int) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getConstraints(int) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
getConstraints(int) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
getCost() - Method in class cc.mallet.util.search.SearchNode
Get the cost for this node.
getCount() - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
getCount() - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
getCount() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
getCount(int) - Method in class cc.mallet.types.Multinomial.Estimator
 
getCountFeatureTopic(int, int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getCounts(Label) - Method in class cc.mallet.types.ROCData
Gets the raw counts for a specified label.
getCounts(Label, double) - Method in class cc.mallet.types.ROCData
Gets the raw counts for a specified label and threshold.
getCountTokensPerTopic(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getCountWithFeature(int) - Method in class cc.mallet.types.InvertedIndex
 
getCountWithFeature(Object) - Method in class cc.mallet.types.InvertedIndex
 
getCPF(VarSet) - Method in class cc.mallet.grmm.inference.JunctionTree
 
getCptofVar(Variable) - Method in class cc.mallet.grmm.types.DirectedModel
Returns the conditional distribution P ( node | Parents (node) )
getCrf() - Method in class cc.mallet.extract.CRFExtractor
 
getCRF() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getCRF() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getCRF() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
 
getCRF(InstanceList, int[], String, String, String, boolean) - Static method in class cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints
 
getData() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getData() - Method in class cc.mallet.topics.ParallelTopicModel
 
getData() - Method in class cc.mallet.topics.PolylingualTopicModel
 
getData() - Method in class cc.mallet.topics.SimpleLDA
 
getData() - Method in class cc.mallet.types.Instance
 
getData() - Method in class cc.mallet.util.Univariate
 
getDataAlphabet() - Method in class cc.mallet.pipe.AddClassifierTokenPredictions
 
getDataAlphabet() - Method in class cc.mallet.pipe.Pipe
 
getDataAlphabet() - Method in class cc.mallet.types.Instance
 
getDataAlphabet() - Method in class cc.mallet.types.InstanceList
Returns the Alphabet mapping features of the data to integers.
getDataClass() - Method in class cc.mallet.types.InstanceList
Returns the Java Class 'data' field of Instances in this list.
getDefaultFeatureIndex() - Method in class cc.mallet.classify.MaxEnt
 
getDefaultFeatureIndex() - Method in class cc.mallet.grmm.learning.ACRF
 
getDefaultWeight(int) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
getDefaultWeights() - Method in class cc.mallet.fst.CRF
 
getDefaultWeights() - Method in class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
getDefaultWeights() - Method in class cc.mallet.grmm.learning.ACRF.Template
 
getDegree(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns the degree of a given variable in this factor graph, that is, the number of factors in which the variable is an argument.
getDelta(int, int) - Method in interface cc.mallet.fst.MaxLattice
 
getDelta(int, int) - Method in class cc.mallet.fst.MaxLatticeDefault
 
getDepthLimited() - Method in class cc.mallet.classify.C45Trainer
 
getDestinationState(int) - Method in class cc.mallet.fst.CRF.State
 
getDestinationState() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
getDestinationState() - Method in class cc.mallet.fst.FeatureTransducer.Transition
 
getDestinationState() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
getDestinationState(int) - Method in class cc.mallet.fst.HMM.State
 
getDestinationState() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
getDestinationState() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
getDestinationState() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The state we are in after taking this transition.
getDimensions(int[]) - Method in interface cc.mallet.types.ConstantMatrix
 
getDimensions(int[]) - Method in class cc.mallet.types.DenseMatrix
 
getDimensions(int[]) - Method in class cc.mallet.types.DenseVector
 
getDimensions(int[]) - Method in class cc.mallet.types.Matrix2
Deprecated.  
getDimensions(int[]) - Method in class cc.mallet.types.Matrixn
 
getDimensions(int[]) - Method in class cc.mallet.types.SparseMatrixn
 
getDimensions(int[]) - Method in class cc.mallet.types.SparseVector
 
getDistanceFromCorpus() - Method in class cc.mallet.topics.TopicModelDiagnostics
Low-quality topics may be very similar to the global distribution.
getDistanceFromUniform() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getDocLengthCounts() - Method in class cc.mallet.topics.WorkerRunnable
 
getDocLengthNormalization() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
getDocLengthNormalization() - Method in class cc.mallet.classify.NaiveBayesTrainer
 
getDocTopicCounts() - Method in class cc.mallet.topics.LDA
Deprecated.  
getDocument() - Method in class cc.mallet.extract.DocumentExtraction
 
getDocument() - Method in class cc.mallet.extract.LabeledSpan
 
getDocument() - Method in class cc.mallet.extract.LabeledSpans
 
getDocument() - Method in interface cc.mallet.extract.Span
 
getDocument() - Method in class cc.mallet.extract.StringSpan
 
getDocument() - Method in class cc.mallet.extract.StringTokenization
 
getDocument() - Method in interface cc.mallet.extract.Tokenization
Returns the document of which this is a tokenization.
getDocumentEntropy(int[]) - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getDocumentExtraction(int) - Method in class cc.mallet.extract.Extraction
 
getDocumentPercent(int) - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getDocumentPercentRatio(int, int) - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getDoPruning() - Method in class cc.mallet.classify.C45Trainer
 
getDouble(Variable) - Method in class cc.mallet.grmm.types.Assignment
 
getDouble(int, Variable) - Method in class cc.mallet.grmm.types.Assignment
Returns the value of var in this assigment.
getEdgeSet() - Method in class cc.mallet.grmm.types.UndirectedModel
 
getEffectiveNumberOfWords() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getEnd() - Method in class cc.mallet.fst.Segment
 
getEndIdx() - Method in class cc.mallet.extract.LabeledSpan
 
getEndIdx() - Method in interface cc.mallet.extract.Span
Returns an integer index identifying the end of this span.
getEndIdx() - Method in class cc.mallet.extract.StringSpan
 
getEndOffset() - Method in class cc.mallet.util.CharSequenceLexer
 
getEndOffset() - Method in interface cc.mallet.util.Lexer
 
getEntropy() - Method in class cc.mallet.fst.semi_supervised.EntropyLattice
 
getEntropy(double[]) - Static method in class cc.mallet.util.Maths
 
getEntry() - Method in class cc.mallet.types.Label
 
getErrorOutputStream() - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
 
getErrorOutputStream() - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
getErrorOutputStream() - Method in class cc.mallet.extract.PerFieldF1Evaluator
 
getEvaluationScores(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.AccuracyEvaluator
 
getEvaluationScores(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.BCubedEvaluator
 
getEvaluationScores(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
 
getEvaluationScores(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluators
 
getEvaluationScores(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.MUCEvaluator
 
getEvaluationScores(Clustering, Clustering) - Method in class cc.mallet.cluster.evaluate.PairF1Evaluator
 
getEvaluator() - Method in class cc.mallet.cluster.HillClimbingClusterer
 
getExpectation() - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
getExpectation() - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
getExpectation() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
getExpectations(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
getExpectations(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
getExpectations(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
getExpectations(double[]) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
getExpectations(int) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
getExpectations(int) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getExpectations(int) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
getExpectations(int) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
getExpectationValue(int, int[]) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
Computes log probability of a batch of training data, fill in corresponding expectations as well
getExpectationValue() - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getExpectationValue() - Method in class cc.mallet.fst.MEMMTrainer.MEMMOptimizableByLabelLikelihood
 
getExpectationValue() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getExpectationValue() - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
getExtractedSpans() - Method in class cc.mallet.extract.DocumentExtraction
 
getExtractor() - Method in class cc.mallet.extract.Extraction
 
getF1(InstanceList, int) - Method in class cc.mallet.classify.Classifier
 
getF1(InstanceList, Labeling) - Method in class cc.mallet.classify.Classifier
 
getF1(InstanceList, Object) - Method in class cc.mallet.classify.Classifier
 
getF1(Object) - Method in class cc.mallet.classify.Trial
Calculate the F1-measure of the classifier on an instance list for a particular target entry
getF1(Labeling) - Method in class cc.mallet.classify.Trial
 
getF1(int) - Method in class cc.mallet.classify.Trial
Calculate the F1-measure for a particular target index from an array list of classifications
getFactor() - Method in class cc.mallet.grmm.learning.ACRF.BigramTemplate
 
getFactor() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
getFactor(int) - Method in class cc.mallet.grmm.types.FactorGraph
 
getFeatureAbsentChild() - Method in class cc.mallet.classify.DecisionTree.Node
 
getFeatureIndices(Alphabet, String) - Static method in class cc.mallet.types.FeatureConjunction
 
getFeatureLabelCounts(InstanceList, boolean) - Static method in class cc.mallet.classify.FeatureConstraintUtil
 
getFeatureMultinomialEstimator() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
getFeatureMultinomialEstimator() - Method in class cc.mallet.classify.NaiveBayesTrainer
Get the MultinomialEstimator instance used to specify the type of estimator for features.
getFeatureName() - Method in class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
getFeaturePatterns() - Method in class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
getFeaturePipe() - Method in class cc.mallet.extract.CRFExtractor
 
getFeaturePipe() - Method in interface cc.mallet.extract.Extractor
Returns the pipe used by this extractor for.
getFeaturePipe() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
getFeaturePresentChild() - Method in class cc.mallet.classify.DecisionTree.Node
 
getFeatures() - Method in class cc.mallet.fst.confidence.SequenceConfidenceInstance
 
getFeatures() - Method in class cc.mallet.types.FeatureSequence
 
getFeatures() - Method in interface cc.mallet.types.PropertyHolder
 
getFeatures() - Method in class cc.mallet.types.Token
 
getFeatureSelection() - Method in class cc.mallet.classify.Classifier
 
getFeatureSelection() - Method in class cc.mallet.classify.MaxEnt
 
getFeatureSelection() - Method in class cc.mallet.types.InstanceList
 
getFeaturesIncludeToken() - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
getFeatureValue(String) - Method in class cc.mallet.fst.confidence.SequenceConfidenceInstance
 
getFeatureValue(String) - Method in interface cc.mallet.types.PropertyHolder
 
getFeatureValue(String) - Method in class cc.mallet.types.Token
 
getFeatureVector(int) - Method in class cc.mallet.types.FeatureVectorSequence
 
getField(Label) - Method in class cc.mallet.extract.Record
 
getFileArray() - Method in class cc.mallet.pipe.iterator.FileIterator
 
getFileArray() - Method in class cc.mallet.pipe.iterator.FileListIterator
 
getFileArray() - Method in class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
getFilter() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
getFinalWeight() - Method in class cc.mallet.fst.CRF.State
 
getFinalWeight() - Method in class cc.mallet.fst.FeatureTransducer.State
 
getFinalWeight() - Method in class cc.mallet.fst.HMM.State
 
getFinalWeight() - Method in class cc.mallet.fst.Transducer.State
 
getFirstString() - Method in class cc.mallet.types.StringEditVector
 
getFirstStringChar(int) - Method in class cc.mallet.types.StringEditVector
 
getFixedTemplates() - Method in class cc.mallet.grmm.learning.ACRF
 
getFlops() - Static method in class cc.mallet.grmm.util.Flops
 
getFullName() - Method in class cc.mallet.util.CommandOption
 
getFv() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
getGainRatio() - Method in class cc.mallet.classify.C45.Node
 
getGammaProbability(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getGammaProbability(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getGammaProbability(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getGammaProbability(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getGammaProbability(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getGammaProbability(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getGammaProbability(int, Transducer.State) - Method in interface cc.mallet.fst.SumLattice
 
getGammaProbability(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeBeam
 
getGammaProbability(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeDefault
 
getGammaProbability(int, int) - Method in class cc.mallet.fst.SumLatticeDefault
 
getGammaProbability(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeScaling
 
getGammaProbability(int, int) - Method in class cc.mallet.fst.SumLatticeScaling
 
getGammas() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getGammas() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getGammas() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getGammas() - Method in interface cc.mallet.fst.SumLattice
 
getGammas() - Method in class cc.mallet.fst.SumLatticeBeam
 
getGammas() - Method in class cc.mallet.fst.SumLatticeDefault
 
getGammas() - Method in class cc.mallet.fst.SumLatticeScaling
 
getGammaWeight(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getGammaWeight(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getGammaWeight(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getGammaWeight(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getGammaWeight(int, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getGammaWeight(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getGammaWeight(int, Transducer.State) - Method in interface cc.mallet.fst.SumLattice
 
getGammaWeight(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeBeam
 
getGammaWeight(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeDefault
 
getGammaWeight(int, int) - Method in class cc.mallet.fst.SumLatticeDefault
 
getGammaWeight(int, Transducer.State) - Method in class cc.mallet.fst.SumLatticeScaling
 
getGammaWeight(int, int) - Method in class cc.mallet.fst.SumLatticeScaling
 
getGaussianPriorVariance() - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getGaussianPriorVariance() - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getGaussianPriorVariance() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getGaussianPriorVariance() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getGaussianPriorVariance() - Method in class cc.mallet.grmm.learning.ACRF
 
getGaussianPriorVariance() - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getGaussianPriorVariance() - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
getGaussianPriorVariance() - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
getGISUpdate(double[]) - Method in interface cc.mallet.optimize.Optimizable.ByGISUpdate
 
getGradient(double[], double[]) - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
getGradient(double[], double[]) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
getGradient(double[], double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
getGradient(double[], double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
getGradient(double[], double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
getGradient(double[], double[]) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
getGradientContribution(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
getGradientContribution(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
getHeight() - Method in class cc.mallet.grmm.types.UndirectedGrid
 
getID() - Method in class cc.mallet.types.IDSorter
 
getIndex() - Method in class cc.mallet.fst.CRF.State
 
getIndex() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
getIndex() - Method in class cc.mallet.fst.FeatureTransducer.State
 
getIndex() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
getIndex() - Method in class cc.mallet.fst.HMM.State
 
getIndex() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
getIndex() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
getIndex() - Method in class cc.mallet.fst.Transducer.State
 
getIndex() - Method in class cc.mallet.fst.Transducer.TransitionIterator
An implementation-specific index for this transition object, can be used to index into arrays of per-transition parameters.
getIndex(Factor) - Method in class cc.mallet.grmm.inference.MessageArray
 
getIndex(Variable) - Method in class cc.mallet.grmm.inference.MessageArray
 
getIndex(VarSet) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
getIndex(Variable) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
getIndex(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns a unique numeric index for a variable in this model.
getIndex(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
 
getIndex(Variable) - Method in class cc.mallet.grmm.types.Universe
 
getIndex() - Method in class cc.mallet.grmm.types.Variable
Returns the index of this variable in its universe
getIndex() - Method in class cc.mallet.types.FeatureConjunction
 
getIndex() - Method in class cc.mallet.types.FeatureVectorSequence.Iterator
 
getIndex() - Method in class cc.mallet.types.Label
 
getIndex() - Method in class cc.mallet.types.LabelSequence.Iterator
 
getIndexAtPosition(int) - Method in class cc.mallet.types.FeatureSequence
 
getIndexAtRank(int) - Method in class cc.mallet.types.RankedFeatureVector
 
getIndices() - Method in class cc.mallet.types.SparseMatrixn
Returns an array of all the present indices.
getIndices() - Method in class cc.mallet.types.SparseVector
 
getIndicesWithLabel(int) - Method in class cc.mallet.cluster.Clustering
 
getInertiaWeight() - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
getInferenceCache(Class) - Method in class cc.mallet.grmm.types.FactorGraph
Caches some information about this graph that is specific to a given type of inferencer (e.g., a junction tree).
getInferencer() - Method in class cc.mallet.grmm.learning.ACRF
 
getInferencer() - Method in class cc.mallet.topics.ParallelTopicModel
Return a tool for estimating topic distributions for new documents
getInferencer(int) - Method in class cc.mallet.topics.PolylingualTopicModel
Return a tool for estimating topic distributions for new documents
getInfoGain(int) - Method in class cc.mallet.types.PerLabelInfoGain
 
getInitialStepSize() - Method in class cc.mallet.optimize.ConjugateGradient
 
getInitialStepSize() - Method in class cc.mallet.optimize.GradientAscent
 
getInitialWeight() - Method in class cc.mallet.fst.CRF.State
 
getInitialWeight() - Method in class cc.mallet.fst.FeatureTransducer.State
 
getInitialWeight() - Method in class cc.mallet.fst.HMM.State
 
getInitialWeight() - Method in class cc.mallet.fst.Transducer.State
 
getInProduction() - Method in class cc.mallet.pipe.AddClassifierTokenPredictions
 
getInput() - Method in class cc.mallet.extract.DocumentExtraction
 
getInput() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
getInput() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
getInput() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
getInput() - Method in class cc.mallet.fst.MaxLatticeDefault
 
getInput() - Method in class cc.mallet.fst.Segment
 
getInput() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
getInput() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getInput() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getInput() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getInput() - Method in interface cc.mallet.fst.SumLattice
 
getInput() - Method in class cc.mallet.fst.SumLatticeBeam
 
getInput() - Method in class cc.mallet.fst.SumLatticeDefault
 
getInput() - Method in class cc.mallet.fst.SumLatticeScaling
 
getInput() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The input symbol or object appearing on this transition.
getInputAlphabet() - Method in class cc.mallet.extract.CRFExtractor
 
getInputAlphabet() - Method in interface cc.mallet.extract.Extractor
Returns an alphabet of the features used by the extractor.
getInputAlphabet() - Method in class cc.mallet.fst.CRF
 
getInputAlphabet() - Method in class cc.mallet.fst.FeatureTransducer
 
getInputAlphabet() - Method in class cc.mallet.fst.HMM
 
getInputAlphabet() - Method in class cc.mallet.grmm.learning.ACRF
 
getInputAlphabet() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
getInputPipe() - Method in class cc.mallet.fst.Transducer
 
getInputPipe() - Method in class cc.mallet.grmm.learning.ACRF
 
getInputPositionIncrement() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The number of input positions that this transition consumes.
getInstance() - Method in class cc.mallet.classify.Classification
 
getInstance() - Method in class cc.mallet.fst.confidence.InstanceWithConfidence
 
getInstance() - Method in class cc.mallet.fst.confidence.PipedInstanceWithConfidence
 
getInstance() - Method in class cc.mallet.fst.confidence.SequenceConfidenceInstance
 
getInstanceId() - Method in class cc.mallet.pipe.Pipe
 
getInstanceId() - Method in class cc.mallet.types.Alphabet
 
getInstanceList() - Method in class cc.mallet.topics.LDA
Deprecated.  
getInstanceList() - Method in class cc.mallet.types.InvertedIndex
 
getInstancePipe() - Method in class cc.mallet.classify.Classifier
 
getInstances() - Method in class cc.mallet.classify.C45.Node
 
getInstances() - Method in class cc.mallet.cluster.Clustering
 
getInstancesWithFeature(int) - Method in class cc.mallet.types.InvertedIndex
 
getInstancesWithFeature(Object) - Method in class cc.mallet.types.InvertedIndex
 
getInstanceWeight(Instance) - Method in class cc.mallet.types.InstanceList
 
getInstanceWeight(int) - Method in class cc.mallet.types.InstanceList
 
getInTag() - Method in class cc.mallet.fst.Segment
 
getInterpreter() - Static method in class cc.mallet.util.CommandOption
 
getIteration() - Method in interface cc.mallet.classify.ClassifierTrainer.ByOptimization
 
getIteration() - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
getIteration() - Method in class cc.mallet.classify.MaxEntGETrainer
 
getIteration() - Method in class cc.mallet.classify.MaxEntPRTrainer
 
getIteration() - Method in class cc.mallet.classify.MaxEntTrainer
 
getIteration() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
getIteration() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getIteration() - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
getIteration() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getIteration() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
 
getIteration() - Method in class cc.mallet.fst.HMMTrainerByLikelihood
 
getIteration() - Method in class cc.mallet.fst.MEMMTrainer
 
getIteration() - Method in class cc.mallet.fst.NoopTransducerTrainer
 
getIteration() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
getIteration() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
getIteration() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
getIteration() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
getIteration() - Method in class cc.mallet.fst.ShallowTransducerTrainer
Deprecated.  
getIteration() - Method in class cc.mallet.fst.TransducerTrainer
 
getIteration() - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
getIteration() - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
getJointAccuracy() - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.LogEvaluator
 
getJointAccuracy() - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
getKey() - Method in class cc.mallet.util.PropertyList.Iterator
 
getLabel(int) - Method in class cc.mallet.cluster.Clustering
Get the cluster label for a particular instance.
getLabel() - Method in class cc.mallet.extract.LabeledSpan
 
getLabel(int) - Method in class cc.mallet.extract.LabeledSpans
 
getLabel() - Method in class cc.mallet.grmm.types.BitVarSet
 
getLabel() - Method in class cc.mallet.grmm.types.HashVarSet
 
getLabel() - Method in class cc.mallet.grmm.types.Variable
 
getLabelAlphabet() - Method in class cc.mallet.classify.Classifier
 
getLabelAlphabet() - Method in class cc.mallet.extract.Extraction
 
getLabelAlphabet() - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns the label (target) alphabet.
getLabelAlphabet(int) - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
getLabelAlphabet() - Method in class cc.mallet.grmm.types.Variable
 
getLabelAlphabet() - Method in class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
getLabelAlphabet() - Method in class cc.mallet.types.Label
 
getLabelAlphabet() - Method in interface cc.mallet.types.Labeling
 
getLabelAlphabet() - Method in class cc.mallet.types.LabelSequence
 
getLabelAlphabet() - Method in class cc.mallet.types.LabelVector
 
getLabelAlphabet() - Method in class cc.mallet.types.ROCData
Gets the label alphabet
getLabelAtPosition(int) - Method in class cc.mallet.types.LabelSequence
 
getLabelAtRank(int) - Method in class cc.mallet.types.Label
 
getLabelAtRank(int) - Method in interface cc.mallet.types.Labeling
 
getLabelAtRank(int) - Method in class cc.mallet.types.LabelVector
 
getLabeledSpan(int) - Method in class cc.mallet.extract.LabeledSpans
 
getLabelIndex(int) - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns the label index mapped to the state index.
getLabeling() - Method in class cc.mallet.classify.Classification
 
getLabeling() - Method in class cc.mallet.types.Instance
 
getLabelingAtPosition(int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getLabelingAtPosition(int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getLabelingAtPosition(int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getLabelingAtPosition(int) - Method in interface cc.mallet.fst.SumLattice
 
getLabelingAtPosition(int) - Method in class cc.mallet.fst.SumLatticeBeam
 
getLabelingAtPosition(int) - Method in class cc.mallet.fst.SumLatticeDefault
 
getLabelingAtPosition(int) - Method in class cc.mallet.fst.SumLatticeScaling
 
getLabelName(int) - Method in class cc.mallet.fst.CRF.State
 
getLabels() - Method in class cc.mallet.cluster.Clustering
 
getLabels(int) - Method in class cc.mallet.types.LabelsSequence
 
getLabelsSequence() - Method in class cc.mallet.grmm.util.LabelsAssignment
 
getLabelVector() - Method in class cc.mallet.classify.Classification
 
getLastChange() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
getLastResids() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
getLatticeNode(int, int) - Method in class cc.mallet.fst.semi_supervised.EntropyLattice
 
getLatticeNode(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getLatticeNode(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getLatticeNode(int, int) - Method in class cc.mallet.fst.SumLatticeDefault
 
getLatticeNode(int, int) - Method in class cc.mallet.fst.SumLatticeScaling
 
getLearningRate() - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
getLeastConfidentSegments() - Method in class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
Returns the least confident segments from each sequence in the previous call to correctLeastConfidentSegments
getLeastConfidentSegments(InstanceList, Object[], Object[]) - Method in class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
Returns the least confident segments in ilist
getLeftChild() - Method in class cc.mallet.classify.C45.Node
 
getLength() - Method in class cc.mallet.types.FeatureSequence
 
getLengthFirstString() - Method in class cc.mallet.types.StringEditVector
 
getLengthSecondString() - Method in class cc.mallet.types.StringEditVector
 
getLineMaximizer() - Method in class cc.mallet.optimize.GradientAscent
 
getList(Class) - Static method in class cc.mallet.util.CommandOption
 
getLogger(String) - Static method in class cc.mallet.util.MalletLogger
 
getLogger(String) - Static method in class cc.mallet.util.MalletProgressMessageLogger
 
getLogNumAssignments() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
getLogValueMatrix() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
getLogValueMatrix() - Method in class cc.mallet.grmm.types.LogTableFactor
 
getLogValueMatrix() - Method in class cc.mallet.grmm.types.TableFactor
 
getMatch() - Method in class cc.mallet.types.StringEditVector
 
getMaxDepth() - Method in class cc.mallet.classify.C45Trainer
 
getMaxer() - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
getMaximizable(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF
 
getMaximizableTrainer(InstanceList) - Method in class cc.mallet.classify.MCMaxEntTrainer
 
getMaximizableTrainer(InstanceList) - Method in class cc.mallet.classify.RankMaxEntTrainer
 
getMaxLatticeFactory() - Method in class cc.mallet.fst.Transducer
 
getMaxValue() - Method in class cc.mallet.types.RankedFeatureVector
 
getMaxValuedIndex() - Method in class cc.mallet.types.RankedFeatureVector
 
getMaxValuedIndexIn(FeatureSelection) - Method in class cc.mallet.types.RankedFeatureVector
 
getMaxValuedObject() - Method in class cc.mallet.types.RankedFeatureVector
 
getMaxValuedObjectIn(FeatureSelection) - Method in class cc.mallet.types.RankedFeatureVector
 
getMaxValuedThreshold() - Method in class cc.mallet.types.GainRatio
 
getMaxValueIn(FeatureSelection) - Method in class cc.mallet.types.RankedFeatureVector
 
getMDL() - Method in class cc.mallet.classify.C45.Node
Calculates the minimum description length of this node, i.e., the length of the binary encoding that describes the feature and the split value used at this node
getMessager() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
getMessagesSent() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
Returns the total number of messages this inferencer has sent since its creation.
getMessagesUsedLastTime() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
Returns the number of messages sent during the last call to computeMarginals.
getMinNumInsts() - Method in class cc.mallet.classify.C45Trainer
 
getModified() - Method in class cc.mallet.cluster.neighbor_evaluator.Neighbor
 
getMultinomials() - Method in class cc.mallet.classify.NaiveBayes
 
getName() - Method in class cc.mallet.classify.C45.Node
 
getName() - Method in class cc.mallet.classify.DecisionTree.Node
 
getName() - Method in class cc.mallet.extract.DocumentExtraction
 
getName() - Method in class cc.mallet.extract.Field
 
getName() - Method in class cc.mallet.extract.Record
 
getName() - Method in class cc.mallet.fst.CRF.State
 
getName() - Method in class cc.mallet.fst.FeatureTransducer.State
 
getName() - Method in class cc.mallet.fst.HMM.State
 
getName() - Method in class cc.mallet.fst.Transducer.State
 
getName(Alphabet, int[], boolean[]) - Static method in class cc.mallet.types.FeatureConjunction
 
getName(Alphabet, int[]) - Static method in class cc.mallet.types.FeatureConjunction
 
getName(Alphabet, int, int) - Static method in class cc.mallet.types.FeatureConjunction
 
getName() - Method in class cc.mallet.types.Instance
 
getName() - Method in class cc.mallet.util.CommandOption
 
getNewCluster() - Method in class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
 
getNewMessages() - Method in class cc.mallet.grmm.inference.gbp.AbstractMessageStrategy
 
getNewMessages() - Method in interface cc.mallet.grmm.inference.gbp.MessageStrategy
 
getNextElement() - Method in class cc.mallet.pipe.iterator.PatternMatchIterator
 
getNextNodes() - Method in class cc.mallet.util.search.AStarNode
 
getNextNodes() - Method in class cc.mallet.util.search.SearchNode
Get an iterator over the new search nodes reachable from this node by state transitions.
getNextStates() - Method in interface cc.mallet.util.search.SearchState
Get an iterator over the states with transitions from this state.
getNonNegated() - Method in class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
getNstatesExpl() - Method in class cc.mallet.fst.SumLatticeBeam
 
getNumBatches() - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getNumBatches() - Method in interface cc.mallet.optimize.Optimizable.ByCombiningBatchGradient
 
getNumClasses() - Method in class cc.mallet.types.PerLabelInfoGain
 
getNumClusters() - Method in class cc.mallet.cluster.Clustering
 
getNumCols() - Method in class cc.mallet.types.Matrix2
Deprecated.  
getNumConstrainedLabels() - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
getNumConstrainedLabels() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
getNumConstrainedLabels() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
getNumDescendants() - Method in class cc.mallet.classify.C45.Node
Count the number of non-leaf descendant nodes
getNumDimensions() - Method in interface cc.mallet.types.ConstantMatrix
 
getNumDimensions() - Method in class cc.mallet.types.DenseMatrix
 
getNumDimensions() - Method in class cc.mallet.types.DenseVector
 
getNumDimensions() - Method in class cc.mallet.types.Matrix2
Deprecated.  
getNumDimensions() - Method in class cc.mallet.types.Matrixn
 
getNumDimensions() - Method in class cc.mallet.types.SparseMatrixn
 
getNumDimensions() - Method in class cc.mallet.types.SparseVector
ACCESSORS
getNumDocuments() - Method in class cc.mallet.extract.Extraction
 
getNumericProperty(String) - Method in class cc.mallet.grmm.types.Variable
 
getNumericProperty(String) - Method in class cc.mallet.types.Instance
 
getNumericProperty(String) - Method in interface cc.mallet.types.PropertyHolder
 
getNumericProperty(String) - Method in class cc.mallet.types.Token
 
getNumericProperty(String) - Method in class cc.mallet.types.TokenSequence
 
getNumericValue() - Method in class cc.mallet.util.PropertyList.Iterator
 
getNumFactors() - Method in class cc.mallet.fst.CRF.Factors
 
getNumFeaturesToDisplay() - Static method in class cc.mallet.extract.LatticeViewer
 
getNumInstances() - Method in class cc.mallet.cluster.Clustering
 
getNumInstances() - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getNumInstances() - Method in interface cc.mallet.optimize.Optimizable.ByVotedPerceptron
 
getNumIter() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
getNumLabels() - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns the number of labels in the map.
getNumOutcomes() - Method in class cc.mallet.grmm.types.Variable
 
getNumParameters() - Method in class cc.mallet.classify.MaxEnt
 
getNumParameters(Pipe) - Static method in class cc.mallet.classify.MaxEnt
 
getNumParameters() - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getNumParameters() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
getNumParameters() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
getNumParameters() - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
getNumParameters() - Method in class cc.mallet.fst.CRF
 
getNumParameters() - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getNumParameters() - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
 
getNumParameters() - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getNumParameters() - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
getNumParameters() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
getNumParameters() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
getNumParameters() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getNumParameters() - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
getNumParameters() - Method in class cc.mallet.fst.ThreadedOptimizable
 
getNumParameters() - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
getNumParameters() - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getNumParameters() - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
getNumParameters() - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
getNumParameters() - Method in interface cc.mallet.optimize.Optimizable
 
getNumParameters() - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
getNumParameters() - Method in class cc.mallet.topics.DMROptimizable
 
getNumRecords() - Method in class cc.mallet.extract.Extraction
 
getNumRows() - Method in class cc.mallet.types.Matrix2
Deprecated.  
getNumSplitPointsForBestFeature() - Method in class cc.mallet.types.GainRatio
 
getNumStates() - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns the number of states in the map.
getNumTopics() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getNumTopics() - Method in class cc.mallet.topics.ParallelTopicModel
 
getNumTopics() - Method in class cc.mallet.topics.PolylingualTopicModel
 
getNumTopics() - Method in class cc.mallet.topics.SimpleLDA
 
getNumVars() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
getNumWeakClassifiers() - Method in class cc.mallet.classify.AdaBoost
Get the number of weak classifiers in this ensemble classifier
getNumWeakClassifiers() - Method in class cc.mallet.classify.AdaBoostM2
Get the number of weak classifiers in this ensemble classifier
getObject(Variable) - Method in class cc.mallet.grmm.types.Assignment
 
getObject(int, Variable) - Method in class cc.mallet.grmm.types.Assignment
 
getObjectAtPosition(int) - Method in class cc.mallet.types.FeatureSequence
 
getObjectAtPosition(int) - Method in class cc.mallet.types.FeatureSequenceWithBigrams
 
getObjectAtRank(int) - Method in class cc.mallet.types.RankedFeatureVector
 
getObjectIndices(Object[], Alphabet, boolean) - Static method in class cc.mallet.types.FeatureVector
 
getObjectValue() - Method in class cc.mallet.util.PropertyList.Iterator
 
getOffsets() - Method in class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
getOldClusters() - Method in class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
 
getOldMessages() - Method in class cc.mallet.grmm.inference.gbp.AbstractMessageStrategy
 
getOldMessages() - Method in interface cc.mallet.grmm.inference.gbp.MessageStrategy
 
getOptimizable(InstanceList) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
getOptimizable(InstanceList) - Method in class cc.mallet.classify.MaxEntGETrainer
 
getOptimizable() - Method in class cc.mallet.classify.MaxEntTrainer
 
getOptimizable(InstanceList) - Method in class cc.mallet.classify.MaxEntTrainer
 
getOptimizable(InstanceList, MaxEnt) - Method in class cc.mallet.classify.MaxEntTrainer
 
getOptimizable(InstanceList) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
getOptimizable() - Method in class cc.mallet.fst.ThreadedOptimizable
 
getOptimizable() - Method in class cc.mallet.optimize.AGIS
 
getOptimizable() - Method in class cc.mallet.optimize.ConjugateGradient
 
getOptimizable() - Method in class cc.mallet.optimize.GradientAscent
 
getOptimizable() - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
getOptimizable() - Method in interface cc.mallet.optimize.Optimizer
 
getOptimizable() - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
getOptimizableByGradientValueObjects() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
 
getOptimizableCRF(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getOptimizableCRF(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getOptimizableCRF(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Returns an optimizable CRF that contains a collection of objective functions.
getOptimizableMEMM(InstanceList) - Method in class cc.mallet.fst.MEMMTrainer
 
getOptimizer() - Method in interface cc.mallet.classify.ClassifierTrainer.ByOptimization
 
getOptimizer() - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
getOptimizer() - Method in class cc.mallet.classify.MaxEntGETrainer
 
getOptimizer() - Method in class cc.mallet.classify.MaxEntL1Trainer
 
getOptimizer(InstanceList) - Method in class cc.mallet.classify.MaxEntL1Trainer
 
getOptimizer() - Method in class cc.mallet.classify.MaxEntPRTrainer
 
getOptimizer() - Method in class cc.mallet.classify.MaxEntTrainer
 
getOptimizer(InstanceList) - Method in class cc.mallet.classify.MaxEntTrainer
This method is called by the train method.
getOptimizer(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByL1LabelLikelihood
 
getOptimizer() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getOptimizer(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getOptimizer() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getOptimizer(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getOptimizer() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
 
getOptimizer(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Returns a L-BFGS optimizer, creating if one doesn't exist.
getOptimizer() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
getOptimizer(Optimizable.ByGradientValue) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
getOptimizer() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
getOptimizer() - Method in interface cc.mallet.fst.TransducerTrainer.ByOptimization
 
getOriginal() - Method in class cc.mallet.cluster.neighbor_evaluator.Neighbor
 
getOutput() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
getOutput() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
getOutput() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
getOutput() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
getOutput() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The output symbol or object appearing on this transition.
getOutputAlphabet() - Method in class cc.mallet.fst.CRF
 
getOutputAlphabet() - Method in class cc.mallet.fst.FeatureTransducer
 
getOutputAlphabet() - Method in class cc.mallet.fst.HMM
 
getOutputAlphabet(int) - Method in class cc.mallet.grmm.util.LabelsAssignment
 
getOutputPipe() - Method in class cc.mallet.fst.Transducer
 
getOutputPositionIncrement() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The number of output positions that this transition produces.
getParameter(int) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getParameter(int) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
getParameter(int) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
getParameter(int) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
getParameter(int) - Method in class cc.mallet.fst.CRF.Factors
 
getParameter(int, int, int) - Method in class cc.mallet.fst.CRF
Only gets the parameter from the first group of parameters.
getParameter(int, int, int, int) - Method in class cc.mallet.fst.CRF
 
getParameter(int) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getParameter(int) - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
 
getParameter(int) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getParameter(int) - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
getParameter(int) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
getParameter(int) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
getParameter(int) - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getParameter(int) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
getParameter(int) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getParameter(int) - Method in class cc.mallet.fst.ThreadedOptimizable
 
getParameter(int) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
getParameter(int) - Method in interface cc.mallet.optimize.Optimizable
 
getParameter(int) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
getParameter(int) - Method in class cc.mallet.topics.DMROptimizable
 
getParameters() - Method in class cc.mallet.classify.MaxEnt
 
getParameters(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getParameters(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
getParameters(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
getParameters() - Method in class cc.mallet.classify.MCMaxEnt
 
getParameters() - Method in class cc.mallet.classify.PRAuxClassifier
 
getParameters(double[]) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
getParameters(double[]) - Method in class cc.mallet.fst.CRF.Factors
 
getParameters() - Method in class cc.mallet.fst.CRF
 
getParameters(double[]) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getParameters(double[]) - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
 
getParameters(double[]) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getParameters(double[]) - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
getParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
getParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
getParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
getParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getParameters(double[]) - Method in class cc.mallet.fst.ThreadedOptimizable
 
getParameters(double[]) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
getParameters(double[]) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
getParameters(double[]) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
getParameters(double[]) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
getParameters(double[]) - Method in interface cc.mallet.optimize.Optimizable
 
getParameters(double[]) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
getParameters(double[]) - Method in class cc.mallet.topics.DMROptimizable
 
getParametersAbsNorm() - Method in class cc.mallet.fst.CRF.Factors
 
getParametersAbsNorm() - Method in class cc.mallet.fst.CRF
 
getParent() - Method in class cc.mallet.classify.C45.Node
 
getParent(Object) - Method in class cc.mallet.grmm.types.Tree
 
getParent() - Method in class cc.mallet.util.search.SearchNode
The node that generated this node.
getParents() - Method in class cc.mallet.grmm.types.CPT
 
getPattern() - Method in class cc.mallet.util.CharSequenceLexer
 
getPerClassFeatureSelection() - Method in class cc.mallet.classify.Classifier
 
getPerClassFeatureSelection() - Method in class cc.mallet.classify.MaxEnt
 
getPerLabelFeatureSelection() - Method in class cc.mallet.types.InstanceList
 
getPipe() - Method in class cc.mallet.cluster.Clusterer
 
getPipe(int) - Method in class cc.mallet.pipe.SerialPipes
 
getPipe() - Method in class cc.mallet.types.InstanceList
Returns the pipe through which each added Instance is passed, which may be null.
getPosition() - Method in interface cc.mallet.util.search.QueueElement
Get the queue position of this element.
getPosition() - Method in class cc.mallet.util.search.SearchNode
 
getPositivePercent(Label, double) - Method in class cc.mallet.types.ROCData
Gets the estimated percentage of training events that exceed the threshold.
getPrecision(InstanceList, int) - Method in class cc.mallet.classify.Classifier
 
getPrecision(InstanceList, Labeling) - Method in class cc.mallet.classify.Classifier
 
getPrecision(InstanceList, Object) - Method in class cc.mallet.classify.Classifier
 
getPrecision(int) - Method in class cc.mallet.classify.evaluate.ConfusionMatrix
Returns the precision of this predicted class
getPrecision(Object) - Method in class cc.mallet.classify.Trial
Calculate the precision of the classifier on an instance list for a particular target entry
getPrecision(Labeling) - Method in class cc.mallet.classify.Trial
 
getPrecision(int) - Method in class cc.mallet.classify.Trial
Calculate the precision for a particular target index from an array list of classifications
getPrecision(Label, double) - Method in class cc.mallet.types.ROCData
Gets the precision for a specified label and threshold.
getPrecisionForScore(Label, double) - Method in class cc.mallet.types.ROCData
Gets the precision for a specified label and score.
getPredicted(int) - Method in class cc.mallet.fst.Segment
 
getPredicted() - Method in class cc.mallet.fst.Segment
 
getPredictedLabels() - Method in class cc.mallet.extract.DocumentExtraction
 
getPreferredSize() - Method in class cc.mallet.classify.evaluate.Graph
 
getPriority() - Method in interface cc.mallet.util.search.QueueElement
Get this element's priority.
getPriority() - Method in class cc.mallet.util.search.SearchNode
 
getPriorMultinomialEstimator() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
getPriorMultinomialEstimator() - Method in class cc.mallet.classify.NaiveBayesTrainer
Get the MultinomialEstimator instance used to specify the type of estimator for priors.
getPriors() - Method in class cc.mallet.classify.NaiveBayes
 
getProbEstimator() - Method in class cc.mallet.topics.ParallelTopicModel
Return a tool for evaluating the marginal probability of new documents under this model
getProjectionValueContrib(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
getProperties() - Method in class cc.mallet.types.Instance
Deprecated. 
getProperties() - Method in interface cc.mallet.types.PropertyHolder
 
getProperties() - Method in class cc.mallet.types.Token
 
getProperties() - Method in class cc.mallet.types.TokenSequence
 
getProperty(String) - Method in class cc.mallet.types.Instance
 
getProperty(String) - Method in interface cc.mallet.types.PropertyHolder
 
getProperty(String) - Method in class cc.mallet.types.Token
 
getProperty(String) - Method in class cc.mallet.types.TokenSequence
 
getProvidedOutput() - Method in class cc.mallet.fst.MaxLatticeDefault
 
getPrunedAlphabet(int) - Method in class cc.mallet.pipe.FeatureCountPipe
Returns a new alphabet that contains only features at or above the specified limit.
getQValue() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
getRandom() - Static method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
getRank(Label) - Method in class cc.mallet.types.Label
 
getRank(int) - Method in class cc.mallet.types.Label
 
getRank(Label) - Method in interface cc.mallet.types.Labeling
 
getRank(int) - Method in interface cc.mallet.types.Labeling
 
getRank(Label) - Method in class cc.mallet.types.LabelVector
 
getRank(int) - Method in class cc.mallet.types.LabelVector
 
getRank(Object) - Method in class cc.mallet.types.RankedFeatureVector
 
getRank(int) - Method in class cc.mallet.types.RankedFeatureVector
 
getRank1Percent() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getRecall(InstanceList, int) - Method in class cc.mallet.classify.Classifier
 
getRecall(InstanceList, Labeling) - Method in class cc.mallet.classify.Classifier
 
getRecall(InstanceList, Object) - Method in class cc.mallet.classify.Classifier
 
getRecall(Object) - Method in class cc.mallet.classify.Trial
Calculate the recall of the classifier on an instance list for a particular target entry
getRecall(Labeling) - Method in class cc.mallet.classify.Trial
 
getRecall(int) - Method in class cc.mallet.classify.Trial
Calculate the recall for a particular target index from an array list of classifications
getRecall(Label, double) - Method in class cc.mallet.types.ROCData
Gets the recall rate for a specified label and threshold.
getRecord(int) - Method in class cc.mallet.extract.Extraction
 
getRegularization() - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getRightChild() - Method in class cc.mallet.classify.C45.Node
 
getRoot() - Method in class cc.mallet.classify.C45
 
getRoot() - Method in class cc.mallet.classify.DecisionTree
 
getRoot() - Method in class cc.mallet.grmm.types.Tree
 
getRootLogger() - Method in class cc.mallet.util.MalletLogger
Convenience method for finding the root logger.
getRow(int) - Method in class cc.mallet.grmm.types.Assignment
 
getSampledDistribution(Instance, int, int, int) - Method in class cc.mallet.topics.TopicInferencer
Use Gibbs sampling to infer a topic distribution.
getScalingFactor() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
getScatterMatrix(double[][]) - Static method in class cc.mallet.util.MVNormal
 
getScore(FeatureVector, int, double[]) - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
getScore(FeatureVector, int, double[]) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
getScore(Clustering, int, int) - Method in class cc.mallet.cluster.GreedyAgglomerative
 
getScore(FeatureVector, int, int, int, double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
getScore(int, double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
getScore(FeatureVector, int, int, int, double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
getScore(FeatureVector, int, int, int, double[]) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
getSecondString() - Method in class cc.mallet.types.StringEditVector
 
getSecondStringChar(int) - Method in class cc.mallet.types.StringEditVector
 
getSegmentConfidences() - Method in class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
 
getSegmentConfidences() - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
 
getSegmentInputSequence() - Method in class cc.mallet.fst.Segment
 
getSepset(VarSet, VarSet) - Method in class cc.mallet.grmm.inference.JunctionTree
 
getSepsetPot(VarSet, VarSet) - Method in class cc.mallet.grmm.inference.JunctionTree
 
getSize() - Method in class cc.mallet.classify.C45
 
getSize() - Method in class cc.mallet.classify.C45.Node
 
getSortedTopicWords(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getSortedWords() - Method in class cc.mallet.topics.ParallelTopicModel
Return an array of sorted sets (one set per topic).
getSource() - Method in class cc.mallet.types.Instance
 
getSourceState() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
getSourceState() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
getSourceState() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
getSourceState() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
getSourceState() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The state we were in before taking this transition.
getSpan() - Method in class cc.mallet.extract.LabeledSpan
 
getSpan(int) - Method in class cc.mallet.extract.LabeledSpans
 
getSpan(int) - Method in class cc.mallet.extract.StringTokenization
 
getSpan(int) - Method in interface cc.mallet.extract.Tokenization
 
getSplitFeature() - Method in class cc.mallet.classify.C45.Node
 
getSplitFeature() - Method in class cc.mallet.classify.DecisionTree.Node
 
getSplitInfoGain() - Method in class cc.mallet.classify.DecisionTree.Node
 
getStart() - Method in class cc.mallet.fst.Segment
 
getStartIdx() - Method in class cc.mallet.extract.LabeledSpan
 
getStartIdx() - Method in interface cc.mallet.extract.Span
Returns an integer index identifying the start of this span.
getStartIdx() - Method in class cc.mallet.extract.StringSpan
 
getStartOffset() - Method in class cc.mallet.util.CharSequenceLexer
 
getStartOffset() - Method in interface cc.mallet.util.Lexer
 
getStartTag() - Method in class cc.mallet.fst.Segment
 
getState(String) - Method in class cc.mallet.fst.CRF
 
getState(int) - Method in class cc.mallet.fst.CRF
 
getState(int) - Method in class cc.mallet.fst.FeatureTransducer
 
getState(String) - Method in class cc.mallet.fst.HMM
 
getState(int) - Method in class cc.mallet.fst.HMM
 
getState(int) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getState(int) - Method in class cc.mallet.fst.Transducer
 
getState() - Method in class cc.mallet.util.search.SearchNode
The state for this search node.
getStateAlphabet() - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns the state alphabet.
getStateIndices(int) - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns the state indices that map to the label index.
getStateIter() - Method in class cc.mallet.util.search.SearchNode.NextNodeIterator
 
getStepSize() - Method in class cc.mallet.optimize.ConjugateGradient
 
getStpmax() - Method in class cc.mallet.optimize.GradientAscent
 
getString1() - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString1BlockAtIndex(int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString1Char(int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString1EOBIndex(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString1EOBIndex(String, int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString1IndexOf(String, int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString1Length() - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2() - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2BlockAtIndex(int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2Char(int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2EOBIndex(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2EOBIndex(String, int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2IndexOf(String, int) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getString2Length() - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
getStringBufferName() - Method in class cc.mallet.classify.C45.Node
 
getStructureType() - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer
 
getSubDirs(File) - Static method in class cc.mallet.cluster.tui.Text2Clusterings
 
getSumLatticeFactory() - Method in class cc.mallet.fst.Transducer
 
getSwapIns() - Method in class cc.mallet.types.PagedInstanceList
 
getSwapInTime() - Method in class cc.mallet.types.PagedInstanceList
 
getSwapOuts() - Method in class cc.mallet.types.PagedInstanceList
 
getSwapOutTime() - Method in class cc.mallet.types.PagedInstanceList
 
getTarget() - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
getTarget() - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
getTarget() - Method in class cc.mallet.extract.DocumentExtraction
 
getTarget() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
getTarget() - Method in class cc.mallet.types.Instance
 
getTargetAlphabet() - Method in class cc.mallet.extract.CRFExtractor
 
getTargetAlphabet() - Method in interface cc.mallet.extract.Extractor
Returns an alphabet of the labels used by the extractor.
getTargetAlphabet() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
getTargetAlphabet() - Method in class cc.mallet.pipe.Pipe
 
getTargetAlphabet() - Method in class cc.mallet.types.Instance
 
getTargetAlphabet() - Method in class cc.mallet.types.InstanceList
Returns the Alphabet mapping target output labels to integers.
getTargetClass() - Method in class cc.mallet.types.InstanceList
Returns the Java Class 'target' field of Instances in this list.
getTargetRecord(int) - Method in class cc.mallet.extract.Extraction
 
getTargetSpans() - Method in class cc.mallet.extract.DocumentExtraction
 
getTctIter() - Method in class cc.mallet.fst.SumLatticeBeam
 
getTemplate() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
getTemplates() - Method in class cc.mallet.grmm.learning.ACRF
 
getTest() - Method in class cc.mallet.topics.LDAStream
 
getTestingData() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
getText() - Method in class cc.mallet.extract.LabeledSpan
 
getText() - Method in interface cc.mallet.extract.Span
Returns a textual representatio of the span, suitable for XML output, e.g.
getText() - Method in class cc.mallet.types.Token
 
getThresholdAtRank(int) - Method in class cc.mallet.types.GainRatio
 
getThresholds() - Method in class cc.mallet.types.ROCData
Gets the thresholds being tracked
getTokenDocumentDiscrepancies() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getTokenizationFilter() - Method in class cc.mallet.extract.CRFExtractor
 
getTokenizationPipe() - Method in class cc.mallet.extract.CRFExtractor
 
getTokenizationPipe() - Method in interface cc.mallet.extract.Extractor
Returns the pipe used by this extractor to tokenize the input.
getTokenizationPipe() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
getTokensPerTopic() - Method in class cc.mallet.topics.LDA
Deprecated.  
getTokensPerTopic() - Method in class cc.mallet.topics.MarginalProbEstimator
 
getTokensPerTopic(int[]) - Method in class cc.mallet.topics.TopicModelDiagnostics
 
getTokensPerTopic() - Method in class cc.mallet.topics.WorkerRunnable
 
getTokenString() - Method in class cc.mallet.util.CharSequenceLexer
 
getTokenString() - Method in interface cc.mallet.util.Lexer
 
getTopicAlphabet() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
getTopicAlphabet() - Method in class cc.mallet.topics.ParallelTopicModel
 
getTopicAlphabet() - Method in class cc.mallet.topics.PolylingualTopicModel
 
getTopicAlphabet() - Method in class cc.mallet.topics.SimpleLDA
 
getTopicDocCounts() - Method in class cc.mallet.topics.WorkerRunnable
 
getTopicProbabilities(int) - Method in class cc.mallet.topics.ParallelTopicModel
Get the smoothed distribution over topics for a training instance.
getTopicProbabilities(LabelSequence) - Method in class cc.mallet.topics.ParallelTopicModel
Get the smoothed distribution over topics for a topic sequence, which may be from the training set or from a new instance with topics assigned by an inferencer.
getTopicTotals() - Method in class cc.mallet.topics.SimpleLDA
 
getTopWords(int) - Method in class cc.mallet.topics.ParallelTopicModel
Return an array (one element for each topic) of arrays of words, which are the most probable words for that topic in descending order.
getTotalMessagesSent() - Static method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
Returns the total number of messages all BP inferencers have sent in the current Java image.
getTotalMessagesSent() - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
Returns the total number of messages this inferencer has sent.
getTotalNodes() - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
getTotalValue() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
getTotalWeight() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getTotalWeight() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getTotalWeight() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getTotalWeight() - Method in interface cc.mallet.fst.SumLattice
 
getTotalWeight() - Method in class cc.mallet.fst.SumLatticeBeam
 
getTotalWeight() - Method in class cc.mallet.fst.SumLatticeDefault
 
getTotalWeight() - Method in class cc.mallet.fst.SumLatticeScaling
 
getTrainer() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
getTrainingData() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
getTransducer() - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
 
getTransducer() - Method in class cc.mallet.fst.CRF.State
 
getTransducer() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getTransducer() - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
getTransducer() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getTransducer() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
 
getTransducer() - Method in class cc.mallet.fst.FeatureTransducer.State
 
getTransducer() - Method in class cc.mallet.fst.HMM.State
 
getTransducer() - Method in class cc.mallet.fst.HMMTrainerByLikelihood
 
getTransducer() - Method in interface cc.mallet.fst.MaxLattice
 
getTransducer() - Method in class cc.mallet.fst.MaxLatticeDefault
 
getTransducer() - Method in class cc.mallet.fst.MEMMTrainer
 
getTransducer() - Method in class cc.mallet.fst.NoopTransducerTrainer
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getTransducer() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getTransducer() - Method in class cc.mallet.fst.ShallowTransducerTrainer
Deprecated.  
getTransducer() - Method in interface cc.mallet.fst.SumLattice
 
getTransducer() - Method in class cc.mallet.fst.SumLatticeBeam
 
getTransducer() - Method in class cc.mallet.fst.SumLatticeDefault
 
getTransducer() - Method in class cc.mallet.fst.SumLatticeScaling
 
getTransducer() - Method in class cc.mallet.fst.Transducer.State
 
getTransducer() - Method in class cc.mallet.fst.Transducer.TransitionIterator
 
getTransducer() - Method in class cc.mallet.fst.TransducerTrainer
 
getTransitionEstimator() - Method in class cc.mallet.fst.FeatureTransducer.State
 
getTrimmedClassifier(int) - Method in class cc.mallet.classify.AdaBoost
Return an AdaBoost classifier that uses only the first numWeakClassifiersToUse weak learners.
getTrimmedClassifier(int) - Method in class cc.mallet.classify.AdaBoostM2
Return an AdaBoostM2 classifier that uses only the first numWeakClassifiersToUse weak learners.
getTruth(int) - Method in class cc.mallet.fst.Segment
 
getTruth() - Method in class cc.mallet.fst.Segment
 
getTypeTopicCounts() - Method in class cc.mallet.topics.LDA
Deprecated.  
getTypeTopicCounts() - Method in class cc.mallet.topics.MarginalProbEstimator
 
getTypeTopicCounts() - Method in class cc.mallet.topics.SimpleLDA
 
getTypeTopicCounts() - Method in class cc.mallet.topics.WorkerRunnable
 
getUniverse() - Method in class cc.mallet.grmm.types.Variable
 
getUnlabeledDataWeight() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
getUnnormalizedClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.MaxEnt
 
getUnnormalizedClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.MCMaxEnt
 
getUnnormalizedClassificationScores(Instance, double[]) - Method in class cc.mallet.classify.RankMaxEnt
returns unnormalized scores, corresponding to the score an element of the InstanceList being the "top" instance
getUnrolledVarSet(int) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
getUnrolledVarSet(Factor) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
getUseForwardBackwardBeam() - Method in class cc.mallet.fst.SumLatticeBeam
 
getUseHyperbolicPriorSharpness() - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getUseHyperbolicPriorSharpness() - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getUseHyperbolicPriorSharpness() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getUseHyperbolicPriorSlope() - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
getUseHyperbolicPriorSlope() - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getUseHyperbolicPriorSlope() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getUseInertia() - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
getUseSparseWeights() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
getUseSparseWeights() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
getValidationInstances() - Method in class cc.mallet.classify.ClassifierTrainer
 
getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
getValue() - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
Returns the total constraint value.
getValue() - Method in class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints
 
getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints.MaxEntKLFLGEConstraint
 
getValue() - Method in class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints
 
getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints.MaxEntL2FLGEConstraint
 
getValue() - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
getValue() - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getValue() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
Return the log probability of the training label distributions
getValue() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
getValue() - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
getValue() - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
Returns the log probability of the training sequence labels and the prior over parameters.
getValue() - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
Returns the log probability of the training sequence labels and the prior over parameters.
getValue() - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
Returns the log probability of the training sequence labels and the prior over parameters.
getValue() - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
Returns the total constraint value.
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
getValue(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints
 
getValue(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints.OneLabelGEKLConstraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints
 
getValue(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints.OneLabelGEL2Constraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
getValue(int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints
 
getValue(int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints.TwoLabelKLGEConstraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints
 
getValue(int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints.TwoLabelL2GEConstraint
 
getValue() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
getValue() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
getValue() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
Returns the log probability of the training sequence labels and the prior over parameters.
getValue() - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
getValue() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getValue() - Method in class cc.mallet.fst.ThreadedOptimizable
 
getValue() - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
Returns the log probability of the training sequence labels
getValue() - Method in class cc.mallet.grmm.util.CachingOptimizable.ByGradient
 
getValue() - Method in interface cc.mallet.optimize.Optimizable.ByGISUpdate
 
getValue() - Method in interface cc.mallet.optimize.Optimizable.ByGradientValue
 
getValue() - Method in interface cc.mallet.optimize.Optimizable.ByValue
 
getValue() - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
getValue() - Method in class cc.mallet.topics.DMROptimizable
The log probability of the observed count vectors given the features.
getValueAndGradient(double[]) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
getValueAtRank(int) - Method in class cc.mallet.types.Label
 
getValueAtRank(int) - Method in interface cc.mallet.types.Labeling
 
getValueAtRank(int) - Method in class cc.mallet.types.LabelVector
 
getValueAtRank(int) - Method in class cc.mallet.types.RankedFeatureVector
 
getValueCalls() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
Counts how many times this trainer has computed the log probability of training labels.
getValueCalls() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
Counts how many times this trainer has computed the log probability of training labels.
getValueCalls() - Method in class cc.mallet.classify.MCMaxEntTrainer
Counts how many times this trainer has computed the log probability of training labels.
getValueContribution(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
getValueGradient(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
getValueGradient(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
getValueGradient(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
getValueGradient(double[]) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
getValueGradient(double[]) - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
 
getValueGradient(double[]) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
getValueGradient(double[]) - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
getValueGradient(double[]) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
getValueGradient(double[]) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
getValueGradient(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
getValueGradient(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
getValueGradient(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getValueGradient(double[]) - Method in class cc.mallet.fst.ThreadedOptimizable
Returns the gradient, re-computes if gradient is stale.
getValueGradient(double[]) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
Computes the graident of the penalized log likelihood of the ACRF, and returns it in buf[].
getValueGradient(double[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByGradient
 
getValueGradient(double[]) - Method in interface cc.mallet.optimize.Optimizable.ByGradient
 
getValueGradient(double[]) - Method in interface cc.mallet.optimize.Optimizable.ByGradientValue
 
getValueGradient(double[]) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
getValueGradient(double[]) - Method in class cc.mallet.topics.DMROptimizable
 
getValueGradientCalls() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
Counts how many times this trainer has computed the gradient of the log probability of training labels.
getValueGradientCalls() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
Counts how many times this trainer has computed the gradient of the log probability of training labels.
getValueGradientCalls() - Method in class cc.mallet.classify.MCMaxEntTrainer
Counts how many times this trainer has computed the gradient of the log probability of training labels.
getValueGradientForInstance(int, double[]) - Method in interface cc.mallet.optimize.Optimizable.ByVotedPerceptron
 
getValueHessian(double[][]) - Method in interface cc.mallet.optimize.Optimizable.ByHessian
 
getValueMatrix() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
getValueMatrix() - Method in class cc.mallet.grmm.types.LogTableFactor
 
getValueMatrix() - Method in class cc.mallet.grmm.types.TableFactor
 
getValues() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
getValues() - Method in class cc.mallet.types.SparseVector
 
getVariable(int) - Method in class cc.mallet.grmm.types.AbstractFactor
 
getVariable(int) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
getVariable(int) - Method in class cc.mallet.grmm.types.Assignment
 
getVariable(int) - Method in class cc.mallet.grmm.types.CPT
 
getVariable(int) - Method in interface cc.mallet.grmm.types.Factor
 
getVariable(int) - Method in class cc.mallet.grmm.types.FactorGraph
 
getVars() - Method in class cc.mallet.grmm.types.Assignment
Returns all variables which are assigned to.
getVerticesIterator() - Method in class cc.mallet.grmm.types.Tree
 
getViterbiInferencer() - Method in class cc.mallet.grmm.learning.ACRF
 
getViterbiNode(int, int) - Method in class cc.mallet.fst.MaxLatticeDefault
 
getWeight() - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
getWeight() - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
getWeight() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
getWeight() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
getWeight() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
getWeight() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
getWeight() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
getWeight(int, int, Sequence, Transducer.TransitionIterator) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
getWeight() - Method in class cc.mallet.fst.Transducer.TransitionIterator
The weight (between infinity and -infinity) associated with taking this transition with this input/output.
getWeight() - Method in class cc.mallet.pipe.iterator.PipeInputIterator
Deprecated.  
getWeight() - Method in class cc.mallet.types.IDSorter
 
getWeight() - Method in class cc.mallet.types.SequencePairAlignment
 
getWeightNames(int) - Method in class cc.mallet.fst.CRF.State
 
getWeights() - Method in class cc.mallet.classify.BalancedWinnow
 
getWeights(String) - Method in class cc.mallet.fst.CRF
 
getWeights(int) - Method in class cc.mallet.fst.CRF
 
getWeights() - Method in class cc.mallet.fst.CRF
 
getWeights() - Method in class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
getWeights() - Method in class cc.mallet.grmm.learning.ACRF.Template
Returns the weights for this clique template.
getWeightsIndex(String) - Method in class cc.mallet.fst.CRF
 
getWeightsName(int) - Method in class cc.mallet.fst.CRF
 
getWeightsStructureChangeStamp() - Method in class cc.mallet.fst.CRF
 
getWeightsValueChangeStamp() - Method in class cc.mallet.fst.CRF
 
getWidth() - Method in class cc.mallet.grmm.types.UndirectedGrid
 
getWordLengthScores() - Method in class cc.mallet.topics.TopicModelDiagnostics
Low-quality topics often have lots of unusually short words.
getWordLengthStandardDeviation() - Method in class cc.mallet.topics.TopicModelDiagnostics
Low-quality topics often have lots of unusually short words.
getWorstAveragePrecision() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
For comparison, rank segments as badly as possible (all "incorrect" before "correct").
getWrongWrongThreshold() - Method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in interface cc.mallet.fst.SumLattice
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.SumLatticeBeam
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.SumLatticeDefault
 
getXiProbability(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.SumLatticeScaling
 
getXis() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getXis() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getXis() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getXis() - Method in interface cc.mallet.fst.SumLattice
 
getXis() - Method in class cc.mallet.fst.SumLatticeBeam
 
getXis() - Method in class cc.mallet.fst.SumLatticeDefault
 
getXis() - Method in class cc.mallet.fst.SumLatticeScaling
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in interface cc.mallet.fst.SumLattice
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.SumLatticeBeam
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.SumLatticeDefault
 
getXiWeight(int, Transducer.State, Transducer.State) - Method in class cc.mallet.fst.SumLatticeScaling
 
GibbsSampler - Class in cc.mallet.grmm.inference
Created: Mar 28, 2005
GibbsSampler() - Constructor for class cc.mallet.grmm.inference.GibbsSampler
 
GibbsSampler(int) - Constructor for class cc.mallet.grmm.inference.GibbsSampler
 
GibbsSampler(Randoms, int) - Constructor for class cc.mallet.grmm.inference.GibbsSampler
 
globalFeatureSelection - Variable in class cc.mallet.fst.CRF
 
go() - Method in class cc.mallet.util.resources.wn.Examples
 
GRADIENT_GAIN - Static variable in class cc.mallet.classify.MCMaxEntTrainer
 
GradientAscent - Class in cc.mallet.optimize
 
GradientAscent(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.GradientAscent
 
GradientBracketLineOptimizer - Class in cc.mallet.optimize
 
GradientBracketLineOptimizer(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.GradientBracketLineOptimizer
 
GradientGain - Class in cc.mallet.types
 
GradientGain(InstanceList, LabelVector[]) - Constructor for class cc.mallet.types.GradientGain
 
GradientGain(InstanceList, Classification[]) - Constructor for class cc.mallet.types.GradientGain
 
GradientGain.Factory - Class in cc.mallet.types
 
GradientGain.Factory(LabelVector[]) - Constructor for class cc.mallet.types.GradientGain.Factory
 
Graph - Class in cc.mallet.classify.evaluate
Framework for standard graph.
Graph(String, int, int, String, String) - Constructor for class cc.mallet.classify.evaluate.Graph
Creates a Graph object
Graph.Legend - Class in cc.mallet.classify.evaluate
 
Graph.Legend() - Constructor for class cc.mallet.classify.evaluate.Graph.Legend
 
Graph2 - Class in cc.mallet.classify.evaluate
Methods for a 2-D graph
Graph2(String, int, int, String, String) - Constructor for class cc.mallet.classify.evaluate.Graph2
 
GraphItem - Class in cc.mallet.classify.evaluate
Holds data for a point on a graph
GraphItem(String, int, Color) - Constructor for class cc.mallet.classify.evaluate.GraphItem
 
Graphs - Class in cc.mallet.grmm.util
Created: Dec 21, 2005
Graphs() - Constructor for class cc.mallet.grmm.util.Graphs
 
GreedyAgglomerative - Class in cc.mallet.cluster
Greedily merges Instances until convergence.
GreedyAgglomerative(Pipe, NeighborEvaluator, double) - Constructor for class cc.mallet.cluster.GreedyAgglomerative
 
GreedyAgglomerativeByDensity - Class in cc.mallet.cluster
Greedily merges Instances until convergence.
GreedyAgglomerativeByDensity(Pipe, NeighborEvaluator, double, boolean, Random) - Constructor for class cc.mallet.cluster.GreedyAgglomerativeByDensity
 
growIfNecessary() - Method in class cc.mallet.types.FeatureSequence
 
growthStopped() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
growthStopped() - Method in class cc.mallet.types.Alphabet
 

H

HALF_LOG_TWO_PI - Static variable in class cc.mallet.types.Dirichlet
 
hasConverged() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
hasConverged(double) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
hasFeature(String) - Method in class cc.mallet.fst.confidence.SequenceConfidenceInstance
 
hashCode() - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
hashCode() - Method in class cc.mallet.grmm.types.BitVarSet
 
hashCode() - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
hashCode() - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
hashCode() - Method in class cc.mallet.grmm.types.HashVarSet
 
hashCode() - Method in class cc.mallet.grmm.types.ListVarSet
 
hashCode() - Method in class cc.mallet.grmm.types.PottsTableFactor
 
hashCode() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
hashCode() - Method in class cc.mallet.types.MultiInstanceList
 
HashedSparseVector - Class in cc.mallet.types
 
HashedSparseVector(int[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.HashedSparseVector
 
HashedSparseVector() - Constructor for class cc.mallet.types.HashedSparseVector
Create an empty vector
HashedSparseVector(int[], double[]) - Constructor for class cc.mallet.types.HashedSparseVector
Create non-binary vector, possibly dense if "featureIndices" or possibly sparse, if not
HashedSparseVector(int[]) - Constructor for class cc.mallet.types.HashedSparseVector
Create binary vector
HashVarSet - Class in cc.mallet.grmm.types
A clique is a collection of nodes in a graph that are all adjacent.
HashVarSet() - Constructor for class cc.mallet.grmm.types.HashVarSet
Create an empty clique.
HashVarSet(Collection) - Constructor for class cc.mallet.grmm.types.HashVarSet
Create a Clique given a Collection of nodes.
HashVarSet(Variable[]) - Constructor for class cc.mallet.grmm.types.HashVarSet
 
hasInfinite - Variable in class cc.mallet.types.DenseMatrix
 
hasInfinite - Variable in class cc.mallet.types.SparseVector
 
hasLabel() - Method in class cc.mallet.grmm.types.BitVarSet
 
hasNext() - Method in class cc.mallet.cluster.iterator.AllPairsIterator
 
hasNext() - Method in class cc.mallet.cluster.iterator.PairSampleIterator
 
hasNext() - Method in class cc.mallet.fst.CRF.Transit