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.TransitionIterator
 
hasNext() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
hasNext() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
hasNext() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
hasNext() - Method in class cc.mallet.fst.Transducer.TransitionIterator
 
hasNext() - Method in class cc.mallet.grmm.inference.MessageArray.Iterator
 
hasNext() - Method in class cc.mallet.grmm.inference.MessageArray.ToMsgsIterator
 
hasNext() - Method in class cc.mallet.grmm.util.PipedIterator
Deprecated.  
hasNext() - Method in class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.ArrayIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.ConcatenatedInstanceIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.CsvIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.EmptyInstanceIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.FileIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.FileListIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.LineGroupIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.LineIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.ParenGroupIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.PatternMatchIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.PipeExtendedIterator
Deprecated.  
hasNext() - Method in class cc.mallet.pipe.iterator.PipeInputIterator
Deprecated.  
hasNext() - Method in class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.SegmentIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.SelectiveFileLineIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.SimpleFileLineIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.StringArrayIterator
 
hasNext() - Method in class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
hasNext() - Method in class cc.mallet.types.ChainedInstanceIterator
Deprecated.  
hasNext() - Method in class cc.mallet.types.CrossValidationIterator
 
hasNext() - Method in class cc.mallet.types.FeatureVectorSequence.Iterator
 
hasNext() - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
 
hasNext() - Method in class cc.mallet.types.LabelSequence.Iterator
 
hasNext() - Method in class cc.mallet.types.SingleInstanceIterator
 
hasNext() - Method in class cc.mallet.util.CharSequenceLexer
 
hasNext() - Method in interface cc.mallet.util.Lexer
 
hasNext() - Method in class cc.mallet.util.PropertyList.Iterator
 
hasNext() - Method in class cc.mallet.util.search.AStar
 
hasNext() - Method in class cc.mallet.util.search.SearchNode.NextNodeIterator
 
hasNext() - Method in class cc.mallet.util.search.SearchState.NextStateIterator
 
hasProperty(String) - Method in class cc.mallet.types.Instance
 
hasProperty(String) - Method in interface cc.mallet.types.PropertyHolder
 
hasProperty(String) - Method in class cc.mallet.types.Token
 
hasProperty(String) - Method in class cc.mallet.types.TokenSequence
 
hasProperty(String) - Method in class cc.mallet.util.PropertyList
 
hideSomeLabels(double, Randoms) - Method in class cc.mallet.types.InstanceList
 
hideSomeLabels(BitSet) - Method in class cc.mallet.types.InstanceList
 
HierarchicalLDA - Class in cc.mallet.topics
 
HierarchicalLDA() - Constructor for class cc.mallet.topics.HierarchicalLDA
 
HierarchicalLDATUI - Class in cc.mallet.topics.tui
 
HierarchicalLDATUI() - Constructor for class cc.mallet.topics.tui.HierarchicalLDATUI
 
HierarchicalPAM - Class in cc.mallet.topics
Hierarchical PAM, where each node in the DAG has a distribution over all topics on the next level and one additional "node-specific" topic.
HierarchicalPAM(int, int, double, double) - Constructor for class cc.mallet.topics.HierarchicalPAM
 
HierarchicalTokenizationFilter - Class in cc.mallet.extract
Tokenization filter that will create nested spans based on a hierarchical labeling of the data.
HierarchicalTokenizationFilter() - Constructor for class cc.mallet.extract.HierarchicalTokenizationFilter
 
HierarchicalTokenizationFilter(Pattern) - Constructor for class cc.mallet.extract.HierarchicalTokenizationFilter
 
HillClimbingClusterer - Class in cc.mallet.cluster
A Clusterer that iteratively improves a predicted Clustering using a NeighborEvaluator.
HillClimbingClusterer(Pipe, NeighborEvaluator) - Constructor for class cc.mallet.cluster.HillClimbingClusterer
 
HMM - Class in cc.mallet.fst
A Hidden Markov Model.
HMM(Pipe, Pipe) - Constructor for class cc.mallet.fst.HMM
 
HMM(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.HMM
 
HMM.Incrementor - Class in cc.mallet.fst
 
HMM.Incrementor() - Constructor for class cc.mallet.fst.HMM.Incrementor
 
HMM.State - Class in cc.mallet.fst
 
HMM.State() - Constructor for class cc.mallet.fst.HMM.State
 
HMM.State(String, int, double, double, String[], String[], HMM) - Constructor for class cc.mallet.fst.HMM.State
 
HMM.TransitionIterator - Class in cc.mallet.fst
 
HMM.TransitionIterator(HMM.State, FeatureSequence, int, String, HMM) - Constructor for class cc.mallet.fst.HMM.TransitionIterator
 
HMM.WeightedIncrementor - Class in cc.mallet.fst
 
HMM.WeightedIncrementor(double) - Constructor for class cc.mallet.fst.HMM.WeightedIncrementor
 
HMMTrainerByLikelihood - Class in cc.mallet.fst
 
HMMTrainerByLikelihood(HMM) - Constructor for class cc.mallet.fst.HMMTrainerByLikelihood
 
hyberbolicPrior(double, double) - Method in class cc.mallet.fst.CRF.Factors
Return the log(p(parameters)) according to a a hyperbolic curve that is a smooth approximation to an L1 prior.

I

IDSorter - Class in cc.mallet.types
This class is contains a comparator for use in sorting integers that have associated floating point values.
IDSorter(int, double) - Constructor for class cc.mallet.types.IDSorter
 
IDSorter(int, int) - Constructor for class cc.mallet.types.IDSorter
 
idx2obj(int) - Method in class cc.mallet.grmm.inference.MessageArray
 
ignoreTestNumMessages() - Method in class cc.mallet.grmm.test.TestInference
 
ignoreTestSerialization() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
ignoreTestSerialization() - Method in class cc.mallet.grmm.test.TestTableFactor
 
IMPOSSIBLE_WEIGHT - Static variable in class cc.mallet.fst.Transducer
 
improveClustering(Clustering) - Method in class cc.mallet.cluster.GreedyAgglomerative
For each pair of clusters, calculate the score of the Neighbor that would result from merging the two clusters.
improveClustering(Clustering) - Method in class cc.mallet.cluster.GreedyAgglomerativeByDensity
 
improveClustering(Clustering) - Method in class cc.mallet.cluster.HillClimbingClusterer
 
incIter() - Method in class cc.mallet.fst.SumLatticeBeam
 
increment(int) - Static method in class cc.mallet.grmm.util.Flops
 
increment(Object) - Method in class cc.mallet.types.FeatureCounter
 
increment(Object, int) - Method in class cc.mallet.types.FeatureCounter
 
increment(int) - Method in class cc.mallet.types.FeatureCounter
 
increment(int, int) - Method in class cc.mallet.types.FeatureCounter
 
increment(int, double) - Method in class cc.mallet.types.Multinomial.Estimator
 
increment(String, double) - Method in class cc.mallet.types.Multinomial.Estimator
 
increment(FeatureSequence, double) - Method in class cc.mallet.types.Multinomial.Estimator
 
increment(FeatureSequence) - Method in class cc.mallet.types.Multinomial.Estimator
 
increment(FeatureVector, double) - Method in class cc.mallet.types.Multinomial.Estimator
 
increment(FeatureVector) - Method in class cc.mallet.types.Multinomial.Estimator
 
incrementalTrain(ACRF, InstanceList, InstanceList, InstanceList, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
incrementalTrain(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
incrementCount(double) - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
incrementCounts(Sequence, Sequence) - Method in class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF.TestResults
 
incrementExpectation(int, double) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
incrementExpectation(int, double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
incrementExpectation(int, double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
incrementExpectations(FeatureVector, double[], double) - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
incrementExpectations(FeatureVector, double[], double) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
incrementExpectations(FeatureVector, int, int, int, double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
incrementExpectations(FeatureVector, int, int, int, double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
incrementExpectations(FeatureVector, int, int, int, double) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
incrementFinalCount(double) - Method in class cc.mallet.fst.FeatureTransducer.State
 
incrementFinalCount(double) - Method in class cc.mallet.fst.HMM.State
 
incrementFinalState(Transducer.State, double) - Method in class cc.mallet.fst.CRF.Factors.Incrementor
 
incrementFinalState(Transducer.State, double) - Method in class cc.mallet.fst.CRF.Factors.WeightedIncrementor
 
incrementFinalState(Transducer.State, double) - Method in class cc.mallet.fst.HMM.Incrementor
 
incrementFinalState(Transducer.State, double) - Method in class cc.mallet.fst.HMM.WeightedIncrementor
 
incrementFinalState(Transducer.State, double) - Method in interface cc.mallet.fst.Transducer.Incrementor
 
incrementInitialCount(double) - Method in class cc.mallet.fst.FeatureTransducer.State
 
incrementInitialCount(double) - Method in class cc.mallet.fst.HMM.State
 
incrementInitialState(Transducer.State, double) - Method in class cc.mallet.fst.CRF.Factors.Incrementor
 
incrementInitialState(Transducer.State, double) - Method in class cc.mallet.fst.CRF.Factors.WeightedIncrementor
 
incrementInitialState(Transducer.State, double) - Method in class cc.mallet.fst.HMM.Incrementor
 
incrementInitialState(Transducer.State, double) - Method in class cc.mallet.fst.HMM.WeightedIncrementor
 
incrementInitialState(Transducer.State, double) - Method in interface cc.mallet.fst.Transducer.Incrementor
 
incrementor - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
incrementSingleValue(int, double) - Method in class cc.mallet.types.DenseMatrix
 
incrementSingleValue(int, double) - Method in interface cc.mallet.types.Matrix
 
incrementSingleValue(int, double) - Method in class cc.mallet.types.SparseMatrixn
 
incrementTransducer(Transducer.Incrementor) - Method in class cc.mallet.fst.MaxLatticeDefault
Increment states and transitions with a count of 1.0 along the best state sequence.
incrementTransition(Transducer.TransitionIterator, double) - Method in class cc.mallet.fst.CRF.Factors.Incrementor
 
incrementTransition(Transducer.TransitionIterator, double) - Method in class cc.mallet.fst.CRF.Factors.WeightedIncrementor
 
incrementTransition(Transducer.TransitionIterator, double) - Method in class cc.mallet.fst.HMM.Incrementor
 
incrementTransition(Transducer.TransitionIterator, double) - Method in class cc.mallet.fst.HMM.WeightedIncrementor
 
incrementTransition(int, int, Sequence, Transducer.TransitionIterator, double) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
incrementTransition(Transducer.TransitionIterator, double) - Method in interface cc.mallet.fst.Transducer.Incrementor
 
incrementValue(int, double) - Method in class cc.mallet.types.SparseVector
Increments this[index] by value.
index - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
index - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
index - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
index - Variable in class cc.mallet.grmm.learning.ACRF.Template
 
indexAtLocation(int) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
indexAtLocation(int) - Method in class cc.mallet.grmm.types.CPT
 
indexAtLocation(int) - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
indexAtLocation(int) - Method in class cc.mallet.types.AugmentableFeatureVector
 
indexAtLocation(int) - Method in interface cc.mallet.types.ConstantMatrix
 
indexAtLocation(int) - Method in class cc.mallet.types.DenseMatrix
 
indexAtLocation(int) - Method in class cc.mallet.types.Label
 
indexAtLocation(int) - Method in interface cc.mallet.types.Labeling
 
indexAtLocation(int) - Method in class cc.mallet.types.SparseMatrixn
 
indexAtLocation(int) - Method in class cc.mallet.types.SparseVector
 
indexCache - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
indexCache - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
indexCache - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
IndexedSparseVector - Class in cc.mallet.types
 
IndexedSparseVector(int[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.IndexedSparseVector
 
IndexedSparseVector() - Constructor for class cc.mallet.types.IndexedSparseVector
Create an empty vector
IndexedSparseVector(int[], double[]) - Constructor for class cc.mallet.types.IndexedSparseVector
Create non-binary vector, possibly dense if "featureIndices" or possibly sparse, if not
IndexedSparseVector(int[]) - Constructor for class cc.mallet.types.IndexedSparseVector
Create binary vector
indexInSegment(int) - Method in class cc.mallet.fst.Segment
 
indexOf(Object) - Method in class cc.mallet.types.MultiInstanceList
 
indexOf(Object[], Object) - Static method in class cc.mallet.util.ArrayUtils
 
indexOf(int[], int) - Static method in class cc.mallet.util.ArrayUtils
 
indexOf(double) - Method in class cc.mallet.util.Univariate
 
indexOfCurrentAssn() - Method in interface cc.mallet.grmm.types.AssignmentIterator
 
indexVector() - Method in class cc.mallet.types.HashedSparseVector
 
indexVector() - Method in class cc.mallet.types.IndexedSparseVector
 
indices - Variable in class cc.mallet.types.SparseVector
If the vector is sparse, then both indices and values are sparse.
induceFeatures(InstanceList, boolean, boolean) - Method in class cc.mallet.classify.DecisionTree
 
induceFeatures(AugmentableFeatureVector, FeatureSelection, FeatureSelection[], FeatureSelection, FeatureSelection[], boolean, boolean, double) - Method in class cc.mallet.classify.DecisionTree.Node
 
induceFeaturesFor(InstanceList) - Method in class cc.mallet.fst.CRF
When the CRF has done feature induction, these new feature conjunctions must be created in the test or validation data in order for them to take effect.
induceFeaturesFor(InstanceList, boolean, boolean) - Method in class cc.mallet.types.FeatureInducer
 
inference(int) - Method in class cc.mallet.topics.LDAStream
 
inferenceAll(int) - Method in class cc.mallet.topics.LDAStream
 
inferenceOneByOne(int) - Method in class cc.mallet.topics.LDAStream
 
Inferencer - Interface in cc.mallet.grmm.inference
Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.
inferencer - Variable in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
inferenceWithTheta(int, InstanceList) - Method in class cc.mallet.topics.LDAStream
 
InferTopics - Class in cc.mallet.topics.tui
 
InferTopics() - Constructor for class cc.mallet.topics.tui.InferTopics
 
infiniteValues - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
infiniteValues - Variable in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
infiniteValues - Variable in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
infiniteValues - Variable in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
infiniteValues - Variable in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
infinityNorm() - Method in class cc.mallet.types.AugmentableFeatureVector
 
infinityNorm() - Method in interface cc.mallet.types.ConstantMatrix
 
infinityNorm() - Method in class cc.mallet.types.DenseMatrix
 
infinityNorm(double[]) - Static method in class cc.mallet.types.DenseMatrix
 
infinityNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
 
infinityNorm() - Method in class cc.mallet.types.SparseMatrixn
 
infinityNorm() - Method in class cc.mallet.types.SparseVector
 
infinityNormalize() - Method in class cc.mallet.types.DenseMatrix
 
infinityNormalize() - Method in interface cc.mallet.types.Matrix
 
infinityNormalize() - Method in class cc.mallet.types.SparseMatrixn
 
InfoGain - Class in cc.mallet.types
 
InfoGain(InstanceList) - Constructor for class cc.mallet.types.InfoGain
 
InfoGain(Alphabet, double[]) - Constructor for class cc.mallet.types.InfoGain
 
InfoGain.Factory - Class in cc.mallet.types
 
InfoGain.Factory() - Constructor for class cc.mallet.types.InfoGain.Factory
 
INFORMATION_GAIN - Static variable in class cc.mallet.classify.MCMaxEntTrainer
 
initEmissions(Random, double) - Method in class cc.mallet.fst.HMM
 
initForGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
initForGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.TreeBP
 
initForGraph(FactorGraph) - Method in class cc.mallet.grmm.inference.TRP
 
initialize(InstanceList, InstanceList, int, Randoms) - Method in class cc.mallet.topics.HierarchicalLDA
 
initialize() - Method in class cc.mallet.topics.MultinomialHMM
 
initializeAlphaStatistics(int) - Method in class cc.mallet.topics.WorkerRunnable
 
initializeClustering(InstanceList) - Method in class cc.mallet.cluster.GreedyAgglomerative
 
initializeClustering(InstanceList) - Method in class cc.mallet.cluster.HillClimbingClusterer
 
initializeFromState(File) - Method in class cc.mallet.topics.ParallelTopicModel
 
initializeHistogramsAndCachedValues() - Method in class cc.mallet.topics.LDAHyper
Deprecated. Gather statistics on the size of documents and create histograms for use in Dirichlet hyperparameter optimization.
initialProbList - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
initialStateIterator() - Method in class cc.mallet.fst.CRF
 
initialStateIterator() - Method in class cc.mallet.fst.FeatureTransducer
 
initialStateIterator() - Method in class cc.mallet.fst.HMM
 
initialStateIterator() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
initialStateIterator() - Method in class cc.mallet.fst.Transducer
 
initialStates - Variable in class cc.mallet.fst.CRF
 
initialWeights - Variable in class cc.mallet.fst.CRF.Factors
 
initTransitions(Random, double) - Method in class cc.mallet.fst.HMM
Separate initialization of initial/transitions and emissions.
initWeights(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
initWeights(InstanceList) - Method in class cc.mallet.grmm.learning.ACRF.Template
Initializes the weight vectors to the appropriate size for a set of training data.
input - Variable in class cc.mallet.types.SequencePair
 
input() - Method in class cc.mallet.types.SequencePair
 
Input2CharSequence - Class in cc.mallet.pipe
Pipe that can read from various kinds of text sources (either URI, File, or Reader) into a CharSequence
Input2CharSequence() - Constructor for class cc.mallet.pipe.Input2CharSequence
 
Input2CharSequence(String) - Constructor for class cc.mallet.pipe.Input2CharSequence
 
inputAlphabet - Variable in class cc.mallet.fst.CRF
 
inputLength - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
 
inputPipe - Variable in class cc.mallet.fst.Transducer
A pipe that should produce a Sequence in the "data" slot, (and possibly one in the "target" slot also
insert(QueueElement) - Method in class cc.mallet.util.search.MinHeap
 
insert(QueueElement) - Method in interface cc.mallet.util.search.PriorityQueue
Insert element e into the queue.
instance - Variable in class cc.mallet.topics.LDAHyper.Topication
Deprecated.  
instance - Variable in class cc.mallet.topics.TopicAssignment
 
Instance - Class in cc.mallet.types
A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.
Instance(Object, Object, Object, Object) - Constructor for class cc.mallet.types.Instance
In certain unusual circumstances, you might want to create an Instance without sending it through a pipe.
InstanceAccuracyEvaluator - Class in cc.mallet.fst
Reports the percentage of instances for which the entire predicted sequence was correct.
InstanceAccuracyEvaluator() - Constructor for class cc.mallet.fst.InstanceAccuracyEvaluator
 
instanceFrom(Instance) - Method in class cc.mallet.pipe.Pipe
 
instanceLength(Instance) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
InstanceList - Class in cc.mallet.types
A list of machine learning instances, typically used for training or testing of a machine learning algorithm.
InstanceList(Pipe, int) - Constructor for class cc.mallet.types.InstanceList
Construct an InstanceList having given capacity, with given default pipe.
InstanceList(Pipe) - Constructor for class cc.mallet.types.InstanceList
Construct an InstanceList with initial capacity of 10, with given default pipe.
InstanceList(Alphabet, Alphabet) - Constructor for class cc.mallet.types.InstanceList
Construct an InstanceList with initial capacity of 10, with a Noop default pipe.
InstanceList() - Constructor for class cc.mallet.types.InstanceList
Deprecated. 
InstanceList(Randoms, Dirichlet, double, double, double, double, String[]) - Constructor for class cc.mallet.types.InstanceList
Creates a list consisting of randomly-generated FeatureVectors.
InstanceList(Randoms, Alphabet, String[], int) - Constructor for class cc.mallet.types.InstanceList
 
InstanceList(Randoms, int, int) - Constructor for class cc.mallet.types.InstanceList
 
InstanceList.CrossValidationIterator - Class in cc.mallet.types
CrossValidationIterator allows iterating over pairs of InstanceList, where each pair is split into training/testing based on nfolds.
InstanceList.CrossValidationIterator(int, int) - Constructor for class cc.mallet.types.InstanceList.CrossValidationIterator
 
InstanceList.CrossValidationIterator(int) - Constructor for class cc.mallet.types.InstanceList.CrossValidationIterator
 
instanceListDescriptions - Variable in class cc.mallet.fst.TransducerEvaluator
 
instanceLists - Variable in class cc.mallet.fst.TransducerEvaluator
 
InstanceListTrimFeaturesByCount - Class in cc.mallet.pipe
Unimplemented.
InstanceListTrimFeaturesByCount(int) - Constructor for class cc.mallet.pipe.InstanceListTrimFeaturesByCount
 
InstanceListTUI - Class in cc.mallet.types
 
InstanceListTUI() - Constructor for class cc.mallet.types.InstanceListTUI
 
instancePipe - Variable in class cc.mallet.classify.Classifier
 
instances - Variable in class cc.mallet.cluster.Clustering
 
instances - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
instances - Variable in class cc.mallet.topics.PolylingualTopicModel.TopicAssignment
 
instancesFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.Pipe
A convenience method that will pull all instances from source through this pipe, and return the results as an array.
instancesFrom(Instance) - Method in class cc.mallet.pipe.Pipe
 
InstanceWithConfidence - Class in cc.mallet.fst.confidence
Helper class to store confidence of an Instance.
InstanceWithConfidence(Instance, double, Sequence) - Constructor for class cc.mallet.fst.confidence.InstanceWithConfidence
 
InstanceWithConfidence(Instance, double, boolean) - Constructor for class cc.mallet.fst.confidence.InstanceWithConfidence
 
INTEGER_COUNT - Static variable in class cc.mallet.pipe.tsf.CountMatches
 
intersection(Span) - Method in class cc.mallet.extract.LabeledSpan
 
intersection(Span) - Method in interface cc.mallet.extract.Span
Returns a new span that is the intersection of this span and another.
intersection(Span) - Method in class cc.mallet.extract.StringSpan
 
intersection(VarSet) - Method in class cc.mallet.grmm.types.BitVarSet
 
intersection(VarSet) - Method in class cc.mallet.grmm.types.HashVarSet
Returns the intersection of two cliques.
intersection(VarSet) - Method in class cc.mallet.grmm.types.ListVarSet
 
intersection(VarSet) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
intersection(VarSet) - Method in interface cc.mallet.grmm.types.VarSet
Returns the intersection of two cliques.
intersection(Collection, Collection) - Static method in class cc.mallet.util.CollectionUtils
Computes a nondestructive intersection of two collections.
intersectionSize(BitVarSet) - Method in class cc.mallet.grmm.types.BitVarSet
Returns the number of variables in the intersection between this clique and other.
intersects(Span) - Method in class cc.mallet.extract.LabeledSpan
 
intersects(Span) - Method in interface cc.mallet.extract.Span
 
intersects(Span) - Method in class cc.mallet.extract.StringSpan
 
InvalidOptimizableException - Exception in cc.mallet.optimize
Exception thrown by optimization algorithms, when the problem is usually due to a problem with the given Maximizable instance.
InvalidOptimizableException() - Constructor for exception cc.mallet.optimize.InvalidOptimizableException
 
InvalidOptimizableException(String) - Constructor for exception cc.mallet.optimize.InvalidOptimizableException
 
InvalidOptimizableException(String, Throwable) - Constructor for exception cc.mallet.optimize.InvalidOptimizableException
 
InvalidOptimizableException(Throwable) - Constructor for exception cc.mallet.optimize.InvalidOptimizableException
 
InvertedIndex - Class in cc.mallet.types
 
InvertedIndex(InstanceList) - Constructor for class cc.mallet.types.InvertedIndex
 
invertLowerTriangular(double[], int) - Static method in class cc.mallet.util.MVNormal
This method returns the (lower-triangular) inverse of a lower triangular matrix.
invertSPD(double[], int) - Static method in class cc.mallet.util.MVNormal
 
IoUtils - Class in cc.mallet.util
 
IoUtils() - Constructor for class cc.mallet.util.IoUtils
 
ip - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice.LatticeNode
 
isAdjacent(Variable, Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Returns whether two variables are adjacent in the model's graph.
isBackground() - Method in class cc.mallet.extract.LabeledSpan
 
isBinary() - Method in class cc.mallet.types.SparseVector
 
isCacheUnrolledGraphs() - Method in class cc.mallet.grmm.learning.ACRF
 
isConnected(Variable, Variable) - Method in class cc.mallet.grmm.types.UndirectedModel
 
isContinuous() - Method in class cc.mallet.grmm.types.Variable
 
isConverged() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
isConverged() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
isConverged() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Returns true if training converged, false otherwise.
isConverged() - Method in class cc.mallet.grmm.inference.TRP
 
isConverged() - Method in class cc.mallet.optimize.AGIS
 
isConverged() - Method in class cc.mallet.optimize.ConjugateGradient
 
isConverged() - Method in class cc.mallet.optimize.GradientAscent
 
isConverged() - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
isConverged() - Method in interface cc.mallet.optimize.Optimizer
 
isConverged() - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
isDataAlphabetSet() - Method in class cc.mallet.pipe.Pipe
 
isDistinguishEndpts() - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
isDoSizeScale() - Method in class cc.mallet.grmm.learning.ACRF
 
isEmpty() - Method in class cc.mallet.grmm.types.BitVarSet
 
isEmpty() - Method in class cc.mallet.grmm.types.HashVarSet
 
isEmpty() - Method in class cc.mallet.grmm.types.ListVarSet
 
isEmpty() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
isEmpty() - Method in class cc.mallet.types.MultiInstanceList
 
isExcludeAdjacent() - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
isFinal() - Method in class cc.mallet.util.search.SearchNode
Is the node's state final?
isFinal() - Method in interface cc.mallet.util.search.SearchState
Is this state final?
isFinishedTraining() - Method in class cc.mallet.classify.ClassifierTrainer
 
isFinishedTraining() - Method in class cc.mallet.classify.DecisionTreeTrainer
 
isFinishedTraining() - Method in class cc.mallet.classify.MaxEntPRTrainer
 
isFinishedTraining() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
isFinishedTraining() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
isFinishedTraining() - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
isFinishedTraining() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
isFinishedTraining() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Returns true if training converged, false otherwise.
isFinishedTraining() - Method in class cc.mallet.fst.HMMTrainerByLikelihood
 
isFinishedTraining() - Method in class cc.mallet.fst.MEMMTrainer
 
isFinishedTraining() - Method in class cc.mallet.fst.NoopTransducerTrainer
 
isFinishedTraining() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
isFinishedTraining() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
isFinishedTraining() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
isFinishedTraining() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
isFinishedTraining() - Method in class cc.mallet.fst.ShallowTransducerTrainer
Deprecated.  
isFinishedTraining() - Method in class cc.mallet.fst.TransducerTrainer
 
isGenerative() - Method in class cc.mallet.fst.Transducer
If true, this is a "generative transducer".
isGradientStale() - Method in interface cc.mallet.fst.CacheStaleIndicator
 
isGradientStale() - Method in class cc.mallet.fst.CRFCacheStaleIndicator
Returns true if the gradient is stale, also updates the cacheGradientStamp.
isInfinite(double[]) - Static method in class cc.mallet.types.MatrixOps
 
isInfinite() - Method in class cc.mallet.types.SparseVector
 
isInLexicon(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
isInLogSpace() - Method in class cc.mallet.grmm.inference.MessageArray
 
isInLogSpace() - Method in class cc.mallet.grmm.types.AbstractFactor
 
isLabelsAtEnd() - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
isLeaf() - Method in class cc.mallet.classify.C45.Node
 
isLeaf() - Method in class cc.mallet.classify.DecisionTree.Node
 
isLeaf(Object) - Method in class cc.mallet.grmm.types.Tree
 
isLocked() - Method in class cc.mallet.types.Instance
 
isNaN() - Method in class cc.mallet.grmm.inference.JunctionTree
 
isNaN() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
isNaN() - Method in class cc.mallet.grmm.types.Assignment
 
isNaN() - Method in class cc.mallet.grmm.types.BetaFactor
 
isNaN() - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
isNaN() - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
isNaN() - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
isNaN() - Method in class cc.mallet.grmm.types.ConstantFactor
 
isNaN() - Method in class cc.mallet.grmm.types.CPT
 
isNaN() - Method in interface cc.mallet.grmm.types.Factor
 
isNaN() - Method in class cc.mallet.grmm.types.FactorGraph
 
isNaN() - Method in class cc.mallet.grmm.types.NormalFactor
 
isNaN() - Method in class cc.mallet.grmm.types.PottsTableFactor
 
isNaN() - Method in class cc.mallet.grmm.types.SkeletonFactor
 
isNaN() - Method in class cc.mallet.grmm.types.UniformFactor
 
isNaN() - Method in class cc.mallet.grmm.types.UniNormalFactor
 
isNaN() - Method in interface cc.mallet.types.ConstantMatrix
 
isNaN() - Method in class cc.mallet.types.DenseMatrix
 
isNaN(double[]) - Static method in class cc.mallet.types.MatrixOps
 
isNaN() - Method in class cc.mallet.types.SparseMatrixn
 
isNaN() - Method in class cc.mallet.types.SparseVector
 
isNaNOrInfinite(double[]) - Static method in class cc.mallet.types.MatrixOps
 
isNaNOrInfinite() - Method in class cc.mallet.types.SparseVector
 
isNonZero(double[]) - Static method in class cc.mallet.types.MatrixOps
 
isNumeric() - Method in class cc.mallet.util.PropertyList.Iterator
 
IsolatedSegmentTransducerCorrector - Class in cc.mallet.fst.confidence
Corrects a subset of the Segments produced by a Transducer.
IsolatedSegmentTransducerCorrector(TransducerConfidenceEstimator, Transducer) - Constructor for class cc.mallet.fst.confidence.IsolatedSegmentTransducerCorrector
 
IsolatedSegmentTransducerCorrector(Transducer) - Constructor for class cc.mallet.fst.confidence.IsolatedSegmentTransducerCorrector
 
isOneStateConstraint() - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
 
isOneStateConstraint() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
isOneStateConstraint() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
isOneStateConstraint() - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
isOneStateConstraint() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
isOneStateConstraint() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
isOneToOneMapping() - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
Returns true if there is a one-to-one mapping between the states and labels and false otherwise.
isPresent1(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
isPresent2(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
isPresentInString1(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
isPresentInString2(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
isRethrowExceptions() - Static method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
isRoot() - Method in class cc.mallet.classify.C45.Node
 
isRoot() - Method in class cc.mallet.classify.DecisionTree.Node
 
isRoot(Object) - Method in class cc.mallet.grmm.types.Tree
 
isSubspan(Span) - Method in class cc.mallet.extract.LabeledSpan
 
isSubspan(Span) - Method in interface cc.mallet.extract.Span
 
isSubspan(Span) - Method in class cc.mallet.extract.StringSpan
 
isSupportedOnly() - Method in class cc.mallet.grmm.learning.ACRF.Template
 
isTagAllTimesteps() - Method in class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
isTargetProcessing() - Method in class cc.mallet.pipe.Pipe
Return true iff this pipe expects and processes information in the target slot.
isTrainable() - Method in class cc.mallet.fst.CRF
 
isTrainable() - Method in class cc.mallet.fst.FeatureTransducer
 
isTrainable() - Method in class cc.mallet.fst.HMM
 
isTrainable() - Method in class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
isTrainable() - Method in class cc.mallet.grmm.learning.ACRF.Template
 
isUnsupportedWeightsAdded() - Method in class cc.mallet.grmm.learning.ACRF.Template
 
isValidConjunction(int[]) - Static method in class cc.mallet.types.FeatureConjunction
 
isValue(String) - Method in class cc.mallet.extract.Field
Returns true if filler is an exact match to one of the values of this field.
isValue(String, FieldComparator) - Method in class cc.mallet.extract.Field
 
isValueStale() - Method in interface cc.mallet.fst.CacheStaleIndicator
 
isValueStale() - Method in class cc.mallet.fst.CRFCacheStaleIndicator
Returns true if the value is stale, also updates the cacheValueStamp.
isWeightsFrozen(int) - Method in class cc.mallet.fst.CRF
 
isZero(double[]) - Static method in class cc.mallet.types.MatrixOps
 
iterationCount - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
iterationsSoFar - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
iterationsSoFar - Variable in class cc.mallet.topics.PolylingualTopicModel
 
iterationsUsed() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
iterationsUsed() - Method in class cc.mallet.grmm.inference.ResidualBP
 
iterator() - Method in class cc.mallet.grmm.inference.MessageArray
 
iterator() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
iterator() - Method in class cc.mallet.grmm.types.BitVarSet
 
iterator() - Method in class cc.mallet.grmm.types.HashVarSet
 
iterator() - Method in class cc.mallet.grmm.types.ListVarSet
 
iterator() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
iterator() - Method in class cc.mallet.types.Alphabet
 
iterator() - Method in class cc.mallet.types.FeatureVectorSequence
 
iterator() - Method in class cc.mallet.types.LabelSequence
 
iterator() - Method in class cc.mallet.types.MultiInstanceList
 
iterator() - Method in class cc.mallet.util.PropertyList
 
iterUsed - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 

J

jensenShannonDivergence(double[], double[]) - Static method in class cc.mallet.util.Maths
Returns the Jensen-Shannon divergence.
joint(FactorGraph) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
joint(JunctionTree) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
jtCurrent - Variable in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
JunctionTree - Class in cc.mallet.grmm.inference
Datastructure for a junction tree.
JunctionTree(int) - Constructor for class cc.mallet.grmm.inference.JunctionTree
 
JunctionTreeInferencer - Class in cc.mallet.grmm.inference
Does inference in general graphical models using the Hugin junction tree algorithm.
JunctionTreeInferencer() - Constructor for class cc.mallet.grmm.inference.JunctionTreeInferencer
 
JunctionTreeInferencer(JunctionTreePropagation) - Constructor for class cc.mallet.grmm.inference.JunctionTreeInferencer
 

K

K(String, String) - Method in class cc.mallet.types.StringKernel
Computes the normalized string kernel between two strings.
KBestClusterer - Class in cc.mallet.cluster
Return the K best predicted Clusterings
KBestClusterer(Pipe) - Constructor for class cc.mallet.cluster.KBestClusterer
 
key - Variable in class cc.mallet.util.PropertyList
 
keys1() - Method in class cc.mallet.grmm.util.MIntInt2ObjectMap
Returns an array of first-level keys.
keys2(int) - Method in class cc.mallet.grmm.util.MIntInt2ObjectMap
 
Kikuchi4SquareRegionGenerator - Class in cc.mallet.grmm.inference.gbp
Created: May 31, 2005
Kikuchi4SquareRegionGenerator() - Constructor for class cc.mallet.grmm.inference.gbp.Kikuchi4SquareRegionGenerator
 
KL(AbstractTableFactor, AbstractTableFactor) - Static method in class cc.mallet.grmm.types.Factors
 
KL(FactorGraph, FactorGraph) - Static method in class cc.mallet.grmm.util.Models
Computes the KL divergence KL(mdl1||mdl2).
klDivergence(double[], double[]) - Static method in class cc.mallet.util.Maths
Returns the KL divergence, K(p1 || p2).
KLGain - Class in cc.mallet.types
 
KLGain(InstanceList, LabelVector[]) - Constructor for class cc.mallet.types.KLGain
 
KLGain(InstanceList, Classification[]) - Constructor for class cc.mallet.types.KLGain
 
KMeans - Class in cc.mallet.cluster
KMeans Clusterer Clusters the points into k clusters by minimizing the total intra-cluster variance.
KMeans(Pipe, int, Metric, int) - Constructor for class cc.mallet.cluster.KMeans
Construct a KMeans object
KMeans(Pipe, int, Metric) - Constructor for class cc.mallet.cluster.KMeans
Construct a KMeans object

L

l1Distance(AbstractTableFactor, AbstractTableFactor) - Static method in class cc.mallet.grmm.types.Factors
 
label(Instance) - Method in class cc.mallet.fst.Transducer
Take input sequence from instance.data and put the output sequence in instance.target.
Label - Class in cc.mallet.types
 
Label() - Constructor for class cc.mallet.types.Label
 
label(Instance) - Method in interface cc.mallet.types.Labeler
Given the (presumably unlabeled) instanceToLabel, set its target field to the true label.
LabelAlphabet - Class in cc.mallet.types
A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.
LabelAlphabet() - Constructor for class cc.mallet.types.LabelAlphabet
 
labelAlphabetOfSize(int) - Static method in class cc.mallet.types.AlphabetFactory
Create a dummy label alphabet with n dimensions
labelAtLocation(int) - Method in class cc.mallet.types.Label
 
labelAtLocation(int) - Method in interface cc.mallet.types.Labeling
 
labelAtLocation(int) - Method in class cc.mallet.types.LabelVector
 
LabelDistributionEvaluator - Class in cc.mallet.fst
Prints predicted and true label distribution.
LabelDistributionEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.fst.LabelDistributionEvaluator
 
LabeledSpan - Class in cc.mallet.extract
Created: Oct 12, 2004
LabeledSpan(Span, Label, boolean) - Constructor for class cc.mallet.extract.LabeledSpan
 
LabeledSpan(Span, Label, boolean, double) - Constructor for class cc.mallet.extract.LabeledSpan
 
LabeledSpans - Class in cc.mallet.extract
Created: Oct 31, 2004
LabeledSpans(Object) - Constructor for class cc.mallet.extract.LabeledSpans
 
Labeler - Interface in cc.mallet.types
 
labelFeatures(InstanceList, ArrayList<Integer>, boolean) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Label features using heuristic described in "Learning from Labeled Features using Generalized Expectation Criteria" Gregory Druck, Gideon Mann, Andrew McCallum.
labelFeatures(InstanceList, ArrayList<Integer>) - Static method in class cc.mallet.classify.FeatureConstraintUtil
 
Labeling - Interface in cc.mallet.types
A distribution over possible labels for an instance.
labelings - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
Labelings - Class in cc.mallet.types
A collection of labelings, either for a multi-label problem (all labels are part of the same label dictionary), or a factorized labeling, (each label is part of a different dictionary).
Labelings(Labeling[]) - Constructor for class cc.mallet.types.Labelings
 
labelLogLikelihood(InstanceList) - Method in class cc.mallet.classify.NaiveBayes
 
labelMap - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
labelMap - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
labelMap - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
labelOfVar(Variable) - Method in class cc.mallet.grmm.util.LabelsAssignment
 
labels - Variable in class cc.mallet.cluster.Clustering
 
labels - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
labels - Static variable in class cc.mallet.share.weili.ner.enron.EnronMessage2TokenSequence
 
Labels - Class in cc.mallet.types
Usually some distribution over possible labels for an instance.
Labels(Label[]) - Constructor for class cc.mallet.types.Labels
 
LabelsAssignment - Class in cc.mallet.grmm.util
A special kind of assignment for Variables that can be arranged in a LabelsSequence.
LabelsAssignment(LabelsSequence) - Constructor for class cc.mallet.grmm.util.LabelsAssignment
 
LabelSequence - Class in cc.mallet.types
 
LabelSequence(LabelAlphabet, int[]) - Constructor for class cc.mallet.types.LabelSequence
 
LabelSequence(LabelAlphabet, int) - Constructor for class cc.mallet.types.LabelSequence
 
LabelSequence(Label[]) - Constructor for class cc.mallet.types.LabelSequence
 
LabelSequence(Alphabet) - Constructor for class cc.mallet.types.LabelSequence
 
LabelSequence.Iterator - Class in cc.mallet.types
 
LabelSequence.Iterator() - Constructor for class cc.mallet.types.LabelSequence.Iterator
 
LabelsSequence - Class in cc.mallet.types
A simple Sequence implementation where all of the elements must be Labels.
LabelsSequence(Labels[]) - Constructor for class cc.mallet.types.LabelsSequence
Create a LabelsSequence from an array.
LabelsSequence(LabelSequence) - Constructor for class cc.mallet.types.LabelsSequence
 
LabelsSequence2Assignment - Class in cc.mallet.grmm.util
$Id: LabelsSequence2Assignment.java,v 1.1 2007/10/22 21:37:58 mccallum Exp $
LabelsSequence2Assignment() - Constructor for class cc.mallet.grmm.util.LabelsSequence2Assignment
 
LabelVector - Class in cc.mallet.types
 
LabelVector(LabelAlphabet, int[], double[]) - Constructor for class cc.mallet.types.LabelVector
 
LabelVector(Label[], double[]) - Constructor for class cc.mallet.types.LabelVector
 
LabelVector(LabelAlphabet, double[]) - Constructor for class cc.mallet.types.LabelVector
 
lambda - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
languageCachedCoefficients - Variable in class cc.mallet.topics.PolylingualTopicModel
 
languageMaxTypeCounts - Variable in class cc.mallet.topics.PolylingualTopicModel
 
languageSmoothingOnlyMasses - Variable in class cc.mallet.topics.PolylingualTopicModel
 
languageTokensPerTopic - Variable in class cc.mallet.topics.PolylingualTopicModel
 
languageTypeTopicCounts - Variable in class cc.mallet.topics.PolylingualTopicModel
 
last() - Method in class cc.mallet.util.PropertyList
 
LAST_DIRECTORY - Static variable in class cc.mallet.pipe.iterator.FileIterator
Use as label name the last directory in the filename.
LAST_DIRECTORY - Static variable in class cc.mallet.pipe.iterator.FileListIterator
Use as label name the last directory in the filename.
LAST_DIRECTORY - Static variable in class cc.mallet.pipe.iterator.UnlabeledFileIterator
Use as label name the last directory in the filename.
lastIndexOf(Object) - Method in class cc.mallet.types.MultiInstanceList
 
lattice - Variable in class cc.mallet.fst.semi_supervised.GELattice
 
latticeLength - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
 
latticeLength - Variable in class cc.mallet.fst.semi_supervised.GELattice
 
latticeLength - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
LatticeViewer - Class in cc.mallet.extract
Created: Oct 31, 2004
LatticeViewer() - Constructor for class cc.mallet.extract.LatticeViewer
 
LDA - Class in cc.mallet.topics
Deprecated. Use ParallelTopicModel instead.
LDA(int) - Constructor for class cc.mallet.topics.LDA
Deprecated.  
LDA(int, double, double) - Constructor for class cc.mallet.topics.LDA
Deprecated.  
ldaFile - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
LDAHyper - Class in cc.mallet.topics
Deprecated. Use ParallelTopicModel instead, which uses substantially faster data structures even for non-parallel operation.
LDAHyper(int) - Constructor for class cc.mallet.topics.LDAHyper
Deprecated.  
LDAHyper(int, double, double) - Constructor for class cc.mallet.topics.LDAHyper
Deprecated.  
LDAHyper(int, double, double, Randoms) - Constructor for class cc.mallet.topics.LDAHyper
Deprecated.  
LDAHyper(LabelAlphabet, double, double, Randoms) - Constructor for class cc.mallet.topics.LDAHyper
Deprecated.  
LDAHyper.Topication - Class in cc.mallet.topics
Deprecated.  
LDAHyper.Topication(Instance, LDAHyper, LabelSequence) - Constructor for class cc.mallet.topics.LDAHyper.Topication
Deprecated.  
LDAStream - Class in cc.mallet.topics
 
LDAStream(int) - Constructor for class cc.mallet.topics.LDAStream
 
LDAStream(int, double, double) - Constructor for class cc.mallet.topics.LDAStream
 
LDAStream(int, double, double, Randoms) - Constructor for class cc.mallet.topics.LDAStream
 
LDAStream(LabelAlphabet, double, double, Randoms) - Constructor for class cc.mallet.topics.LDAStream
 
learningRate - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
learnParameters() - Method in class cc.mallet.topics.DMRTopicModel
 
learnParameters(double[], int[][], int[]) - Method in class cc.mallet.topics.PAM4L
Use the fixed point iteration described by Tom Minka.
learnParameters(double[], int[][], int[]) - Static method in class cc.mallet.types.Dirichlet
Learn Dirichlet parameters using frequency histograms
learnParameters(double[], int[][], int[], double, double, int) - Static method in class cc.mallet.types.Dirichlet
Learn Dirichlet parameters using frequency histograms
learnParametersWithDigamma(Object[]) - Method in class cc.mallet.types.Dirichlet
Use the fixed point iteration described by Tom Minka.
learnParametersWithDigamma(int[][], int[]) - Method in class cc.mallet.types.Dirichlet
 
learnParametersWithHistogram(Object[]) - Method in class cc.mallet.types.Dirichlet
Use the fixed point iteration described by Tom Minka.
learnParametersWithHistogram(int[][], int[]) - Method in class cc.mallet.types.Dirichlet
 
learnParametersWithLeaveOneOut(Object[]) - Method in class cc.mallet.types.Dirichlet
 
learnParametersWithLeaveOneOut(int[][], int[]) - Method in class cc.mallet.types.Dirichlet
Learn parameters using Minka's Leave-One-Out (LOO) likelihood
learnParametersWithMoments(Object[]) - Method in class cc.mallet.types.Dirichlet
Estimate a dirichlet with the moment matching method described by Ronning.
learnSymmetricConcentration(int[], int[], int, double) - Static method in class cc.mallet.types.Dirichlet
Learn the concentration parameter of a symmetric Dirichlet using frequency histograms.
leftToRight(FeatureSequence, boolean) - Method in class cc.mallet.topics.MarginalProbEstimator
 
length(int) - Method in class cc.mallet.cluster.util.PairwiseMatrix
 
length() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
length() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
length() - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
length() - Method in interface cc.mallet.fst.SumLattice
 
length() - Method in class cc.mallet.fst.SumLatticeBeam
 
length() - Method in class cc.mallet.fst.SumLatticeDefault
 
length() - Method in class cc.mallet.fst.SumLatticeScaling
 
LengthBins - Class in cc.mallet.share.upenn.ner
A feature approximating string length.
LengthBins(String, int[]) - Constructor for class cc.mallet.share.upenn.ner.LengthBins
bins contains the maximum sizes of elements in each bin.
less_efficient_sumLogProb(double, double) - Static method in class cc.mallet.fst.Transducer
 
levenshteinDistance(String, String) - Static method in class cc.mallet.util.Strings
 
LEX_ALPHA - Static variable in class cc.mallet.util.CharSequenceLexer
 
LEX_NONWHITESPACE_CLASSES - Static variable in class cc.mallet.util.CharSequenceLexer
 
LEX_NONWHITESPACE_TOGETHER - Static variable in class cc.mallet.util.CharSequenceLexer
 
LEX_WORD_CLASSES - Static variable in class cc.mallet.util.CharSequenceLexer
 
LEX_WORDS - Static variable in class cc.mallet.util.CharSequenceLexer
 
Lexer - Interface in cc.mallet.util
 
LexiconMembership - Class in cc.mallet.pipe.tsf
 
LexiconMembership(String, Reader, boolean) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
 
LexiconMembership(String, File, boolean) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
 
LexiconMembership(File, boolean) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
 
LexiconMembership(File) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
 
LimitedMemoryBFGS - Class in cc.mallet.optimize
 
LimitedMemoryBFGS(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.LimitedMemoryBFGS
 
LineGroupIterator - Class in cc.mallet.pipe.iterator
Iterate over groups of lines of text, separated by lines that match a regular expression.
LineGroupIterator(Reader, Pattern, boolean) - Constructor for class cc.mallet.pipe.iterator.LineGroupIterator
 
LineGroupString2TokenSequence - Class in cc.mallet.pipe
 
LineGroupString2TokenSequence() - Constructor for class cc.mallet.pipe.LineGroupString2TokenSequence
 
LineIterator - Class in cc.mallet.pipe.iterator
 
LineIterator(Reader, Pattern, int, int, int) - Constructor for class cc.mallet.pipe.iterator.LineIterator
 
LineIterator(Reader, String, int, int, int) - Constructor for class cc.mallet.pipe.iterator.LineIterator
 
LineIterator(String, String, int, int, int) - Constructor for class cc.mallet.pipe.iterator.LineIterator
 
LineOptimizer - Interface in cc.mallet.optimize
Optimize, constrained to move parameters along the direction of a specified line.
LineOptimizer.ByGradient - Interface in cc.mallet.optimize
 
listIterator() - Method in class cc.mallet.types.MultiInstanceList
 
listIterator(int) - Method in class cc.mallet.types.MultiInstanceList
 
ListMember - Class in cc.mallet.share.upenn.ner
Checks membership in a lexicon in a text file.
ListMember(String, File, boolean) - Constructor for class cc.mallet.share.upenn.ner.ListMember
 
ListVarSet - Class in cc.mallet.grmm.types
A clique that uses very little time and memory based on the flyweight pattern, in the same way as BitVarSet.
ListVarSet(Universe, Collection) - Constructor for class cc.mallet.grmm.types.ListVarSet
 
ListVarSet(VarSet) - Constructor for class cc.mallet.grmm.types.ListVarSet
 
load(File) - Static method in class cc.mallet.share.upenn.MaxEntShell
Load a classifier from a file.
load(File, File, File) - Method in class cc.mallet.topics.tui.DMRLoader
 
load(File) - Static method in class cc.mallet.types.InstanceList
Constructs a new InstanceList, deserialized from file.
load(File) - Static method in class cc.mallet.types.PagedInstanceList
Constructs a new InstanceList, deserialized from file.
loadAlphaFromFile(String) - Method in class cc.mallet.topics.MultinomialHMM
 
loadFromFile(File) - Static method in class cc.mallet.types.AlphabetFactory
Load an alphabet from a file, one item per line
loadGEConstraints(Reader, InstanceList) - Static method in class cc.mallet.fst.semi_supervised.FSTConstraintUtil
 
loadSequenceIDsFromFile(String) - Method in class cc.mallet.topics.MultinomialHMM
 
loadTestingIDs(File) - Method in class cc.mallet.topics.PolylingualTopicModel
 
loadTopicsFromFile(String) - Method in class cc.mallet.topics.MultinomialHMM
 
localMagnetization(Inferencer, Variable) - Static method in class cc.mallet.grmm.inference.Utils
 
location(int) - Method in class cc.mallet.types.AugmentableFeatureVector
 
location(int) - Method in interface cc.mallet.types.ConstantMatrix
 
location(int) - Method in class cc.mallet.types.DenseMatrix
 
location(Object) - Method in class cc.mallet.types.FeatureVector
 
location(int) - Method in class cc.mallet.types.IndexedSparseVector
 
location(int) - Method in class cc.mallet.types.SparseMatrixn
 
location(int) - Method in class cc.mallet.types.SparseVector
 
lock() - Method in class cc.mallet.types.Instance
 
log() - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
log(String) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
log() - Method in class cc.mallet.grmm.types.AbstractFactor
 
log() - Static method in class cc.mallet.grmm.util.Flops
 
log(int) - Static method in class cc.mallet.grmm.util.Flops
 
log(double[]) - Static method in class cc.mallet.types.MatrixOps
 
log(LogRecord) - Method in class cc.mallet.util.MalletProgressMessageLogger
 
log2 - Static variable in class cc.mallet.types.GainRatio
 
log2 - Static variable in class cc.mallet.util.Maths
 
logBeta(double, double) - Static method in class cc.mallet.util.Maths
 
logBinom(int, int, double) - Static method in class cc.mallet.util.Maths
Computes p(x;n,p) where x~B(n,p)
logErrorRange(AbstractTableFactor, AbstractTableFactor) - Static method in class cc.mallet.grmm.types.Factors
Implements the error range measure from Ihler et al.
logFactorial(int) - Static method in class cc.mallet.util.Maths
 
logGamma(double) - Static method in class cc.mallet.types.Dirichlet
Currently aliased to logGammaStirling
logGamma(double) - Static method in class cc.mallet.util.Maths
 
logGammaDefinition(double) - Static method in class cc.mallet.types.Dirichlet
This calculates a log gamma function exactly.
logGammaDifference(double, int) - Static method in class cc.mallet.types.Dirichlet
This directly calculates the difference between two log gamma functions using a recursive formula.
logGammaNemes(double) - Static method in class cc.mallet.types.Dirichlet
Gergo Nemes' approximation
logGammaStirling(double) - Static method in class cc.mallet.types.Dirichlet
Use a fifth order Stirling's approximation.
logger - Static variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
logger - Static variable in class cc.mallet.topics.HierarchicalPAM
 
logger - Static variable in class cc.mallet.topics.ParallelTopicModel
 
logger - Static variable in class cc.mallet.util.DocumentLengths
 
LoggingLevels - Static variable in class cc.mallet.util.MalletLogger
 
logify() - Method in class cc.mallet.grmm.types.AbstractFactor
 
logify() - Method in class cc.mallet.grmm.types.FactorGraph
 
logit(double) - Static method in class cc.mallet.util.Maths
 
LogNumber - Class in cc.mallet.types
 
LogNumber(double, boolean) - Constructor for class cc.mallet.types.LogNumber
 
logOptions(Logger) - Method in class cc.mallet.util.CommandOption.List
 
logProbability(int) - Method in class cc.mallet.types.Multinomial.Logged
 
logProbability(int) - Method in class cc.mallet.types.Multinomial
 
logProbability(Object) - Method in class cc.mallet.types.Multinomial
 
logResults(String) - Method in class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF.TestResults
 
logsum() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
logsum() - Method in class cc.mallet.grmm.types.LogTableFactor
 
LogTableFactor - Class in cc.mallet.grmm.types
Created: Jan 4, 2006
LogTableFactor(AbstractTableFactor) - Constructor for class cc.mallet.grmm.types.LogTableFactor
 
LogTableFactor(Variable) - Constructor for class cc.mallet.grmm.types.LogTableFactor
 
LogTableFactor(Variable[]) - Constructor for class cc.mallet.grmm.types.LogTableFactor
 
LogTableFactor(Collection) - Constructor for class cc.mallet.grmm.types.LogTableFactor
 
logVal - Variable in class cc.mallet.types.LogNumber
 
logValue(Assignment) - Method in class cc.mallet.grmm.types.AbstractFactor
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.AbstractFactor
 
logValue(int) - Method in class cc.mallet.grmm.types.AbstractFactor
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.CPT
 
logValue(Assignment) - Method in class cc.mallet.grmm.types.CPT
 
logValue(int) - Method in class cc.mallet.grmm.types.CPT
 
logValue(AssignmentIterator) - Method in interface cc.mallet.grmm.types.Factor
 
logValue(Assignment) - Method in interface cc.mallet.grmm.types.Factor
 
logValue(int) - Method in interface cc.mallet.grmm.types.Factor
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.FactorGraph
 
logValue(int) - Method in class cc.mallet.grmm.types.FactorGraph
 
logValue(Assignment) - Method in class cc.mallet.grmm.types.FactorGraph
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.LogTableFactor
 
logValue(int) - Method in class cc.mallet.grmm.types.LogTableFactor
 
logValue(Assignment) - Method in class cc.mallet.grmm.types.LogTableFactor
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
logValue(AssignmentIterator) - Method in class cc.mallet.grmm.types.TableFactor
 
logValue(Assignment) - Method in class cc.mallet.grmm.types.TableFactor
 
logValue(int) - Method in class cc.mallet.grmm.types.TableFactor
 
longestString() - Method in class cc.mallet.classify.evaluate.Graph.Legend
 
LongRegexMatches - Class in cc.mallet.share.upenn.ner
Matches a regular expression which spans several tokens.
LongRegexMatches(String, Pattern, int, int) - Constructor for class cc.mallet.share.upenn.ner.LongRegexMatches
 
lookupAssignment() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
lookupAssignmentNumber() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
lookupIndex(Object, boolean) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
Return -1 if entry isn't present.
lookupIndex(Object) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
lookupIndex(Object) - Method in class cc.mallet.grmm.types.Tree
 
lookupIndex(Object, boolean) - Method in class cc.mallet.types.Alphabet
Return -1 if entry isn't present.
lookupIndex(Object) - Method in class cc.mallet.types.Alphabet
 
lookupIndex(Object, boolean) - Method in class cc.mallet.types.LabelAlphabet
 
lookupIndices(Object[], boolean) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
lookupIndices(Object[], boolean) - Method in class cc.mallet.types.Alphabet
 
lookupJoint(Assignment) - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
lookupJoint(Assignment) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
lookupJoint(Assignment) - Method in interface cc.mallet.grmm.inference.Inferencer
Returns the joint probability of a given assignment, computed in some factorized fashion.
lookupJunctionTree() - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
Returns the JunctionTree computed from the last call to JunctionTreeInferencer.computeMarginals(cc.mallet.grmm.types.FactorGraph).
lookupLabel(Object, boolean) - Method in class cc.mallet.types.LabelAlphabet
 
lookupLabel(Object) - Method in class cc.mallet.types.LabelAlphabet
 
lookupLabel(int) - Method in class cc.mallet.types.LabelAlphabet
 
lookupLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
lookupLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
lookupLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
lookupLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
lookupLogJoint(Assignment) - Method in interface cc.mallet.grmm.inference.Inferencer
Returns the natural logarithm of the joint probability of a given assignment, computed in some factorized fashion.
lookupLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.JunctionTree
 
lookupLogJoint(Assignment) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
lookupMarginal(VarSet) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
lookupMarginal(VarSet) - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
lookupMarginal(VarSet) - Method in class cc.mallet.grmm.inference.BruteForceInferencer
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
lookupMarginal(VarSet) - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
lookupMarginal(Variable) - Method in interface cc.mallet.grmm.inference.Inferencer
Returns the computed marginal of a given variable.
lookupMarginal(VarSet) - Method in interface cc.mallet.grmm.inference.Inferencer
Returns the computed marginal of a given clique in a graph.
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.JunctionTree
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
lookupMarginal(VarSet) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.SamplingInferencer
 
lookupMarginal(VarSet) - Method in class cc.mallet.grmm.inference.SamplingInferencer
 
lookupMarginal(Variable) - Method in class cc.mallet.grmm.inference.VariableElimination
 
lookupMinusLogZ(FactorGraph, Inferencer) - Static method in class cc.mallet.grmm.inference.Utils
Returns ths value of -log Z in mdl according to the given inferencer.
lookupNumber(String) - Method in class cc.mallet.util.PropertyList
 
lookupNumberOfAssignment(Assignment) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
lookupObject(int) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
lookupObject(int) - Method in class cc.mallet.types.Alphabet
 
lookupObject(String) - Method in class cc.mallet.util.PropertyList
 
lookupObjects(int[]) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
lookupObjects(int[], Object[]) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
Returns an array of the objects corresponding to
lookupObjects(int[]) - Method in class cc.mallet.types.Alphabet
 
lookupObjects(int[], Object[]) - Method in class cc.mallet.types.Alphabet
Returns an array of the objects corresponding to
lookupOutcome(int) - Method in class cc.mallet.grmm.types.Variable
 
lookupProjectionCache(VarSet) - Method in class cc.mallet.grmm.types.Universe
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.AbstractFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.Assignment
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.BetaFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.ConstantFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.NormalFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.SkeletonFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.UniformFactor
 
lookupValueInternal(int) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
lookupVertex(int) - Method in class cc.mallet.grmm.types.Tree
 
LoopyBP - Class in cc.mallet.grmm.inference
The loopy belief propagation algorithm for approximate inference in general graphical models.
LoopyBP() - Constructor for class cc.mallet.grmm.inference.LoopyBP
 
LoopyBP(int) - Constructor for class cc.mallet.grmm.inference.LoopyBP
 
LoopyBP(AbstractBeliefPropagation.MessageStrategy, int) - Constructor for class cc.mallet.grmm.inference.LoopyBP
 
lower - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
lower - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
lowerTriangularCrossproduct(double[], int) - Static method in class cc.mallet.util.MVNormal
Returns L'L for lower triangular matrix L.
lowerTriangularProduct(double[], double[], int) - Static method in class cc.mallet.util.MVNormal
Returns (lower-triangular) X = AB for square lower-triangular matrices A and B

M

main(String[]) - Static method in class cc.mallet.classify.examples.DocumentClassifier
 
main(String[]) - Static method in class cc.mallet.classify.tests.TestClassifiers
 
main(String[]) - Static method in class cc.mallet.classify.tests.TestMaxEntTrainer
 
main(String[]) - Static method in class cc.mallet.classify.tests.TestNaiveBayes
 
main(String[]) - Static method in class cc.mallet.classify.tests.TestStaticParameters
 
main(String[]) - Static method in class cc.mallet.classify.tui.Calo2Classify
 
main(String[]) - Static method in class cc.mallet.classify.tui.Classifier2Info
 
main(String[]) - Static method in class cc.mallet.classify.tui.Csv2Classify
 
main(String[]) - Static method in class cc.mallet.classify.tui.Csv2Vectors
 
main(String[]) - Static method in class cc.mallet.classify.tui.SvmLight2Classify
 
main(String[]) - Static method in class cc.mallet.classify.tui.SvmLight2Vectors
 
main(String[]) - Static method in class cc.mallet.classify.tui.Text2Classify
 
main(String[]) - Static method in class cc.mallet.classify.tui.Text2Vectors
 
main(String[]) - Static method in class cc.mallet.classify.tui.Vectors2Classify
 
main(String[]) - Static method in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
main(String[]) - Static method in class cc.mallet.classify.tui.Vectors2Info
 
main(String[]) - Static method in class cc.mallet.classify.tui.Vectors2Vectors
 
main(String[]) - Static method in class cc.mallet.cluster.evaluate.tests.TestClusteringEvaluators
 
main(String[]) - Static method in class cc.mallet.cluster.examples.FirstOrderClusterExample
 
main(String[]) - Static method in class cc.mallet.cluster.iterator.tests.TestIterators
 
main(String[]) - Static method in class cc.mallet.cluster.Record
 
main(String[]) - Static method in class cc.mallet.cluster.tui.Clusterings2Clusterer
 
main(String[]) - Static method in class cc.mallet.cluster.tui.Clusterings2Clusterings
 
main(String[]) - Static method in class cc.mallet.cluster.tui.Clusterings2Info
 
main(String[]) - Static method in class cc.mallet.cluster.tui.Text2Clusterings
 
main(String[]) - Static method in class cc.mallet.cluster.util.PairwiseMatrix
 
main(String[]) - Static method in class cc.mallet.examples.TestCRFPipe
 
main(String[]) - Static method in class cc.mallet.examples.TopicModel
 
main(String[]) - Static method in class cc.mallet.examples.TrainCRF
 
main(String[]) - Static method in class cc.mallet.examples.TrainHMM
 
main(String[]) - Static method in class cc.mallet.extract.test.TestDocumentExtraction
 
main(String[]) - Static method in class cc.mallet.extract.test.TestDocumentViewer
 
main(String[]) - Static method in class cc.mallet.extract.test.TestLatticeViewer
 
main(String[]) - Static method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
main(String[]) - Static method in class cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints
Command-line wrapper to train, test, or run a generic CRF-based tagger.
main(String[]) - Static method in class cc.mallet.fst.SimpleTagger
Command-line wrapper to train, test, or run a generic CRF-based tagger.
main(String[]) - Static method in class cc.mallet.fst.tests.TestCRF
 
main(String[]) - Static method in class cc.mallet.fst.tests.TestFeatureTransducer
 
main(String[]) - Static method in class cc.mallet.fst.tests.TestMEMM
 
main(String[]) - Static method in class cc.mallet.fst.tests.TestSumNegLogProb2
 
main(String[]) - Static method in class cc.mallet.grmm.examples.ModelReaderExample
 
main(String[]) - Static method in class cc.mallet.grmm.examples.SimpleCrfExample
 
main(String[]) - Static method in class cc.mallet.grmm.examples.SimpleFactorExample
 
main(String[]) - Static method in class cc.mallet.grmm.examples.SimpleGraphExample
 
main(String[]) - Static method in class cc.mallet.grmm.learning.extract.AcrfExtractorTui
 
main(String[]) - Static method in class cc.mallet.grmm.learning.GenericAcrfTui
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestAbstractBeliefPropagation
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestAssignment
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestAssignmentIterator
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestBetaFactor
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestBitVarSet
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestDirectedModel
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestFactorGraph
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestFactors
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestGibbsSampler
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestHashClique
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestInference
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestListVarSet
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestLogTableFactor
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestMIntInt2ObjectMap
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestNormalFactor
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestPottsFactor
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestRandomGraphs
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestTableFactor
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestTRP
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestUndirectedModel
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestUniformFactor
 
main(String[]) - Static method in class cc.mallet.grmm.test.TestUniNormalFactor
 
main(String[]) - Static method in class cc.mallet.optimize.tests.TestOptimizable
 
main(String[]) - Static method in class cc.mallet.optimize.tests.TestOptimizer
 
main(String[]) - Static method in class cc.mallet.pipe.CharSequence2TokenSequence
 
main(String[]) - Static method in class cc.mallet.pipe.CharSequenceRemoveHTML
 
main(String[]) - Static method in class cc.mallet.pipe.iterator.tests.TestPatternMatchIterator
 
main(String[]) - Static method in class cc.mallet.pipe.SGML2TokenSequence
 
main(String[]) - Static method in class cc.mallet.pipe.tests.TestInstancePipe
 
main(String[]) - Static method in class cc.mallet.pipe.tests.TestIterators
 
main(String[]) - Static method in class cc.mallet.pipe.tests.TestPipeUtils
 
main(String[]) - Static method in class cc.mallet.pipe.tests.TestRainbowStyle
 
main(String[]) - Static method in class cc.mallet.pipe.tests.TestSGML2TokenSequence
 
main(String[]) - Static method in class cc.mallet.pipe.tests.TestSpacePipe
 
main(String[]) - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetConjunctions
 
main(String[]) - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
 
main(String[]) - Static method in class cc.mallet.pipe.tsf.tests.TestSequencePrintingPipe
 
main(String[]) - Static method in class cc.mallet.share.mccallum.ner.TUI
 
main(String[]) - Static method in class cc.mallet.share.upenn.MaxEntShell
Command-line wrapper to train, test, or run a maxent classifier.
main(String[]) - Static method in class cc.mallet.share.weili.ner.enron.TUI
 
main(String[]) - Static method in class cc.mallet.topics.DMRTopicModel
 
main(String[]) - Static method in class cc.mallet.topics.HierarchicalLDA
This method is primarily for testing purposes.
main(String[]) - Static method in class cc.mallet.topics.HierarchicalPAM
 
main(String[]) - Static method in class cc.mallet.topics.LDA
Deprecated.  
main(String[]) - Static method in class cc.mallet.topics.LDAHyper
Deprecated.  
main(String[]) - Static method in class cc.mallet.topics.MultinomialHMM
 
main(String[]) - Static method in class cc.mallet.topics.NPTopicModel
 
main(String[]) - Static method in class cc.mallet.topics.PAM4L
 
main(String[]) - Static method in class cc.mallet.topics.ParallelTopicModel
 
main(String[]) - Static method in class cc.mallet.topics.PolylingualTopicModel
 
main(String[]) - Static method in class cc.mallet.topics.SimpleLDA
 
main(String[]) - Static method in class cc.mallet.topics.TopicalNGrams
 
main(String[]) - Static method in class cc.mallet.topics.TopicModelDiagnostics
 
main(String[]) - Static method in class cc.mallet.topics.tui.DMRLoader
 
main(String[]) - Static method in class cc.mallet.topics.tui.EvaluateTopics
 
main(String[]) - Static method in class cc.mallet.topics.tui.HierarchicalLDATUI
 
main(String[]) - Static method in class cc.mallet.topics.tui.InferTopics
 
main(String[]) - Static method in class cc.mallet.topics.tui.TopicTrainer
 
main(String[]) - Static method in class cc.mallet.topics.tui.Vectors2Topics
 
main(String[]) - Static method in class cc.mallet.types.Dirichlet
 
main(String[]) - Static method in class cc.mallet.types.InstanceListTUI
 
main(String[]) - Static method in class cc.mallet.types.Matrixn
 
main(String[]) - Static method in class cc.mallet.types.StringKernel
Return string kernel between two strings
main(String[]) - Static method in class cc.mallet.types.tests.TestAlphabet
 
main(String[]) - Static method in class cc.mallet.types.tests.TestAugmentableFeatureVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestFeatureSequence
 
main(String[]) - Static method in class cc.mallet.types.tests.TestFeatureVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestHashedSparseVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestIndexedSparseVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestLabelAlphabet
 
main(String[]) - Static method in class cc.mallet.types.tests.TestLabelsSequence
 
main(String[]) - Static method in class cc.mallet.types.tests.TestLabelVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestMatrix
 
main(String[]) - Static method in class cc.mallet.types.tests.TestMatrixn
 
main(String[]) - Static method in class cc.mallet.types.tests.TestMultinomial
 
main(String[]) - Static method in class cc.mallet.types.tests.TestPagedInstanceList
 
main(String[]) - Static method in class cc.mallet.types.tests.TestRankedFeatureVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestSerializable
 
main(String[]) - Static method in class cc.mallet.types.tests.TestSparseMatrixn
 
main(String[]) - Static method in class cc.mallet.types.tests.TestSparseVector
 
main(String[]) - Static method in class cc.mallet.types.tests.TestToken
 
main(String[]) - Static method in class cc.mallet.util.BulkLoader
 
main(String[]) - Static method in class cc.mallet.util.CharSequenceLexer
 
main(String[]) - Static method in class cc.mallet.util.DocumentLengths
 
main(String[]) - Static method in class cc.mallet.util.FeatureCounter
 
main(String[]) - Static method in class cc.mallet.util.MVNormal
 
main(String[]) - Static method in class cc.mallet.util.Randoms
 
main(String[]) - Static method in class cc.mallet.util.resources.wn.Examples
 
main(String[]) - Static method in class cc.mallet.util.tests.TestAStar
 
main(String[]) - Static method in class cc.mallet.util.tests.TestMaths
 
main(String[]) - Static method in class cc.mallet.util.tests.TestPriorityQueue
 
main(String[]) - Static method in class cc.mallet.util.tests.TestPropertyList
 
main(String[]) - Static method in class cc.mallet.util.tests.TestRandom
 
main(String[]) - Static method in class cc.mallet.util.tests.TestStrings
 
majorityProb - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
MakeAmpersandXMLFriendly - Class in cc.mallet.pipe
convert & to &amp in tokens of a token sequence
MakeAmpersandXMLFriendly() - Constructor for class cc.mallet.pipe.MakeAmpersandXMLFriendly
 
makeBinary() - Method in class cc.mallet.types.SparseVector
 
makeBPInferencer() - Static method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
makeFactorial(Pipe, int) - Static method in class cc.mallet.grmm.learning.ACRF
 
makeFromLogMatrix(Variable[], Matrix) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
makeFromLogValues(Variable[], double[]) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
makeFromLogValues(Variable, double[]) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
makeFromLogValues(VarSet, double[]) - Static method in class cc.mallet.grmm.types.TableFactor
 
makeFromMatrix(Variable[], SparseMatrixn) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
makeFromReaders(FactorGraph, List) - Static method in class cc.mallet.grmm.inference.TRP.TreeListFactory
 
makeFromSingleIndex(VarSet, int) - Static method in class cc.mallet.grmm.types.Assignment
 
makeFromSubtree(Object, List) - Static method in class cc.mallet.grmm.types.Tree
 
makeFromValues(Variable[], double[]) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
makeFromValues(Variable, double[]) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
makeIdentityFactor(AbstractTableFactor) - Static method in class cc.mallet.grmm.types.AbstractTableFactor
STATIC FACTORY METHODS
makeIdentityFactor() - Static method in class cc.mallet.grmm.types.ConstantFactor
 
makeKikuchiInferencer() - Static method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
makeList(Instance, Instance) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
makeNonBinary() - Method in class cc.mallet.types.SparseVector
 
makeOnlyThread() - Method in class cc.mallet.topics.WorkerRunnable
If there is only one thread, we don't need to go through communication overhead.
makeOutputFile() - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
makeSpacePredictionPipe() - Static method in class cc.mallet.fst.tests.TestMEMM
 
makeText(String[]) - Method in class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
returns the first String in the array or "" if the array has length 0.
MalletLogger - Class in cc.mallet.util
 
MalletLogger(String, String) - Constructor for class cc.mallet.util.MalletLogger
 
MalletProgressMessageLogger - Class in cc.mallet.util
Created by IntelliJ IDEA.
MalletProgressMessageLogger(String, String) - Constructor for class cc.mallet.util.MalletProgressMessageLogger
 
map - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
map - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
map - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
map - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
map - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
map(Method) - Method in class cc.mallet.types.SparseVector
Applies the method argument to each value in a non-binary vector.
map(Collection, CollectionUtils.Fn) - Static method in class cc.mallet.util.CollectionUtils
Returns a new collection whose elements consist of the function fn.f applied to all of the elements of the given collection.
marginalize(Variable[]) - Method in class cc.mallet.grmm.types.AbstractFactor
 
marginalize(Collection) - Method in class cc.mallet.grmm.types.AbstractFactor
 
marginalize(Variable) - Method in class cc.mallet.grmm.types.AbstractFactor
 
marginalize(Variable[]) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Returns the marginal of this distribution over the given variables.
marginalize(Collection) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
marginalize(Variable) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
marginalize(Variable[]) - Method in class cc.mallet.grmm.types.CPT
 
marginalize(Collection) - Method in class cc.mallet.grmm.types.CPT
 
marginalize(Variable) - Method in class cc.mallet.grmm.types.CPT
 
marginalize(Variable[]) - Method in interface cc.mallet.grmm.types.Factor
Returns the marginal of this distribution over the given variables.
marginalize(Collection) - Method in interface cc.mallet.grmm.types.Factor
Returns the marginal of this distribution over the given variables.
marginalize(Variable) - Method in interface cc.mallet.grmm.types.Factor
Returns the marginal of this distribution over one variable.
marginalize(Variable[]) - Method in class cc.mallet.grmm.types.FactorGraph
 
marginalize(Collection) - Method in class cc.mallet.grmm.types.FactorGraph
 
marginalize(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.AbstractFactor
 
marginalizeInternal(AbstractTableFactor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.Assignment
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.BetaFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.ConstantFactor
 
marginalizeInternal(AbstractTableFactor) - Method in class cc.mallet.grmm.types.LogTableFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.NormalFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.SkeletonFactor
 
marginalizeInternal(AbstractTableFactor) - Method in class cc.mallet.grmm.types.TableFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.UniformFactor
 
marginalizeInternal(VarSet) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
marginalizeOut(Variable) - Method in class cc.mallet.grmm.types.AbstractFactor
 
marginalizeOut(VarSet) - Method in class cc.mallet.grmm.types.AbstractFactor
 
marginalizeOut(Variable) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
marginalizeOut(VarSet) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
marginalizeOut(Variable) - Method in class cc.mallet.grmm.types.CPT
 
marginalizeOut(VarSet) - Method in class cc.mallet.grmm.types.CPT
 
marginalizeOut(Variable) - Method in interface cc.mallet.grmm.types.Factor
Returns the marginal distribution attained by summing out the given variable.
marginalizeOut(VarSet) - Method in interface cc.mallet.grmm.types.Factor
Returns the marginal distribution attained by summing out the given set of variables.
marginalizeOut(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
 
marginalizeOut(VarSet) - Method in class cc.mallet.grmm.types.FactorGraph
 
MarginalProbEstimator - Class in cc.mallet.topics
An implementation of topic model marginal probability estimators presented in Wallach et al., "Evaluation Methods for Topic Models", ICML (2009)
MarginalProbEstimator(int, double[], double, double, int[][], int[]) - Constructor for class cc.mallet.topics.MarginalProbEstimator
 
MATCH - Static variable in class cc.mallet.types.StringEditVector
 
matches(String, String) - Method in class cc.mallet.extract.ExactMatchComparator
 
matches(String, String) - Method in interface cc.mallet.extract.FieldComparator
Returns true if the given two slot fillers match.
matches(String, String) - Method in class cc.mallet.extract.PunctuationIgnoringComparator
 
Maths - Class in cc.mallet.util
 
Maths() - Constructor for class cc.mallet.util.Maths
 
Matrices - Class in cc.mallet.grmm.util
Static Matrix constructors.
Matrices() - Constructor for class cc.mallet.grmm.util.Matrices
 
Matrix - Interface in cc.mallet.types
 
Matrix2 - Class in cc.mallet.types
Deprecated. 
Matrix2(double[], int, int) - Constructor for class cc.mallet.types.Matrix2
Deprecated.  
Matrix2(int, int) - Constructor for class cc.mallet.types.Matrix2
Deprecated.  
Matrix2(double[][]) - Constructor for class cc.mallet.types.Matrix2
Deprecated.  
Matrix2(double, int, int) - Constructor for class cc.mallet.types.Matrix2
Deprecated.  
Matrixn - Class in cc.mallet.types
Implementation of Matrix that allows arbitrary number of dimensions.
Matrixn(double[]) - Constructor for class cc.mallet.types.Matrixn
Create a 1-d matrix with the given values.
Matrixn(int[]) - Constructor for class cc.mallet.types.Matrixn
Create a matrix with the given dimensions.
Matrixn(int[], double[]) - Constructor for class cc.mallet.types.Matrixn
Create a matrix with the given dimensions and the given values.
MatrixOps - Class in cc.mallet.types
A class of static utility functions for manipulating arrays of double.
MatrixOps() - Constructor for class cc.mallet.types.MatrixOps
 
max(double[]) - Static method in class cc.mallet.types.DenseVector
 
max(int[][]) - Static method in class cc.mallet.types.MatrixOps
 
max(int[]) - Static method in class cc.mallet.types.MatrixOps
 
max(double[]) - Static method in class cc.mallet.types.MatrixOps
 
max(double[][]) - Static method in class cc.mallet.types.MatrixOps
 
max() - Method in class cc.mallet.util.Univariate
 
maxAbsdiff(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
Returns the maximum elementwise absolute difference between two vectors.
maxDepth - Static variable in class cc.mallet.classify.DecisionTreeTrainer.Factory
 
MaxEnt - Class in cc.mallet.classify
Maximum Entropy (AKA Multivariate Logistic Regression) classifier.
MaxEnt(Pipe, double[], FeatureSelection, FeatureSelection[]) - Constructor for class cc.mallet.classify.MaxEnt
 
MaxEnt(Pipe, double[], FeatureSelection) - Constructor for class cc.mallet.classify.MaxEnt
 
MaxEnt(Pipe, double[], FeatureSelection[]) - Constructor for class cc.mallet.classify.MaxEnt
 
MaxEnt(Pipe, double[]) - Constructor for class cc.mallet.classify.MaxEnt
 
MaxEntConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of a Segment extracted by a Transducer using a MaxEnt classifier to classify segments as "correct" or "incorrect." xxx needs some interface work
MaxEntConfidenceEstimator(Transducer, double) - Constructor for class cc.mallet.fst.confidence.MaxEntConfidenceEstimator
 
MaxEntConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.MaxEntConfidenceEstimator
 
MaxEntFLGEConstraints - Class in cc.mallet.classify.constraints.ge
Abstract expectation constraint for use with Generalized Expectation (GE).
MaxEntFLGEConstraints(int, int, boolean) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
MaxEntFLGEConstraints.MaxEntFLGEConstraint - Class in cc.mallet.classify.constraints.ge
 
MaxEntFLGEConstraints.MaxEntFLGEConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
MaxEntFLPRConstraints - Class in cc.mallet.classify.constraints.pr
Abstract expectation constraint for use with Posterior Regularization (PR).
MaxEntFLPRConstraints(int, int, boolean) - Constructor for class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
MaxEntFLPRConstraints.MaxEntFLPRConstraint - Class in cc.mallet.classify.constraints.pr
 
MaxEntFLPRConstraints.MaxEntFLPRConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
MaxEntGEConstraint - Interface in cc.mallet.classify.constraints.ge
Interface for expectation constraints for use with Generalized Expectation (GE).
MaxEntGERangeTrainer - Class in cc.mallet.classify
Training of MaxEnt models with labeled features using Generalized Expectation Criteria.
MaxEntGERangeTrainer() - Constructor for class cc.mallet.classify.MaxEntGERangeTrainer
 
MaxEntGERangeTrainer(ArrayList<MaxEntGEConstraint>) - Constructor for class cc.mallet.classify.MaxEntGERangeTrainer
 
MaxEntGERangeTrainer(ArrayList<MaxEntGEConstraint>, MaxEnt) - Constructor for class cc.mallet.classify.MaxEntGERangeTrainer
 
MaxEntGETrainer - Class in cc.mallet.classify
Training of MaxEnt models with labeled features using Generalized Expectation Criteria.
MaxEntGETrainer() - Constructor for class cc.mallet.classify.MaxEntGETrainer
 
MaxEntGETrainer(ArrayList<MaxEntGEConstraint>) - Constructor for class cc.mallet.classify.MaxEntGETrainer
 
MaxEntGETrainer(ArrayList<MaxEntGEConstraint>, MaxEnt) - Constructor for class cc.mallet.classify.MaxEntGETrainer
 
MaxEntKLFLGEConstraints - Class in cc.mallet.classify.constraints.ge
Expectation constraint for use with GE.
MaxEntKLFLGEConstraints(int, int, boolean) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints
 
MaxEntKLFLGEConstraints.MaxEntKLFLGEConstraint - Class in cc.mallet.classify.constraints.ge
 
MaxEntKLFLGEConstraints.MaxEntKLFLGEConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints.MaxEntKLFLGEConstraint
 
MaxEntL1Trainer - Class in cc.mallet.classify
 
MaxEntL1Trainer() - Constructor for class cc.mallet.classify.MaxEntL1Trainer
 
MaxEntL1Trainer(double) - Constructor for class cc.mallet.classify.MaxEntL1Trainer
 
MaxEntL1Trainer(MaxEnt) - Constructor for class cc.mallet.classify.MaxEntL1Trainer
 
MaxEntL2FLGEConstraints - Class in cc.mallet.classify.constraints.ge
Expectation constraint for use with GE.
MaxEntL2FLGEConstraints(int, int, boolean, boolean) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints
 
MaxEntL2FLGEConstraints.MaxEntL2FLGEConstraint - Class in cc.mallet.classify.constraints.ge
 
MaxEntL2FLGEConstraints.MaxEntL2FLGEConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints.MaxEntL2FLGEConstraint
 
MaxEntL2FLPRConstraints - Class in cc.mallet.classify.constraints.pr
Expectation constraint for use with Posterior Regularization (PR).
MaxEntL2FLPRConstraints(int, int, boolean, boolean) - Constructor for class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
MaxEntL2FLPRConstraints.MaxEntL2FLPRConstraint - Class in cc.mallet.classify.constraints.pr
 
MaxEntL2FLPRConstraints.MaxEntL2FLPRConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints.MaxEntL2FLPRConstraint
 
MaxEntOptimizableByGE - Class in cc.mallet.classify
 
MaxEntOptimizableByGE(InstanceList, ArrayList<MaxEntGEConstraint>, MaxEnt) - Constructor for class cc.mallet.classify.MaxEntOptimizableByGE
 
MaxEntOptimizableByLabelDistribution - Class in cc.mallet.classify
 
MaxEntOptimizableByLabelDistribution() - Constructor for class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
MaxEntOptimizableByLabelDistribution(InstanceList, MaxEnt) - Constructor for class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
MaxEntOptimizableByLabelLikelihood - Class in cc.mallet.classify
 
MaxEntOptimizableByLabelLikelihood() - Constructor for class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
MaxEntOptimizableByLabelLikelihood(InstanceList, MaxEnt) - Constructor for class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
MaxEntPRConstraint - Interface in cc.mallet.classify.constraints.pr
Interface for expectation constraints for use with Posterior Regularization (PR).
MaxEntPRTrainer - Class in cc.mallet.classify
Penalty (soft) version of Posterior Regularization (PR) for training MaxEnt.
MaxEntPRTrainer() - Constructor for class cc.mallet.classify.MaxEntPRTrainer
 
MaxEntPRTrainer(ArrayList<MaxEntPRConstraint>) - Constructor for class cc.mallet.classify.MaxEntPRTrainer
 
MaxEntRangeL2FLGEConstraints - Class in cc.mallet.classify.constraints.ge
Expectation constraint for use with GE.
MaxEntRangeL2FLGEConstraints(int, int, boolean, boolean) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint - Class in cc.mallet.classify.constraints.ge
 
MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint() - Constructor for class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
MaxEntSequenceConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of a Sequence extracted by a Transducer using a MaxEnt classifier to classify Sequences as "correct" or "incorrect." xxx needs some interface work.
MaxEntSequenceConfidenceEstimator(Transducer, double) - Constructor for class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
 
MaxEntSequenceConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
 
MaxEntShell - Class in cc.mallet.share.upenn
Simple wrapper for training a MALLET maxent classifier.
MaxEntTrainer - Class in cc.mallet.classify
The trainer for a Maximum Entropy classifier.
MaxEntTrainer() - Constructor for class cc.mallet.classify.MaxEntTrainer
 
MaxEntTrainer(MaxEnt) - Constructor for class cc.mallet.classify.MaxEntTrainer
Construct a MaxEnt trainer using a trained classifier as initial values.
MaxEntTrainer(double) - Constructor for class cc.mallet.classify.MaxEntTrainer
Constructs a trainer with a parameter to avoid overtraining.
maxIndex(double[]) - Static method in class cc.mallet.types.MatrixOps
 
maxIndex(double[][]) - Static method in class cc.mallet.types.MatrixOps
 
maxL1MarginalDistance(FactorGraph, Inferencer, Inferencer) - Static method in class cc.mallet.grmm.inference.Utils
 
MaxLattice - Interface in cc.mallet.fst
The interface to classes implementing the Viterbi algorithm, finding the best sequence of states for a given input sequence.
MaxLatticeDefault - Class in cc.mallet.fst
Default, full dynamic programming version of the Viterbi "Max-(Product)-Lattice" algorithm.
MaxLatticeDefault(Transducer, Sequence) - Constructor for class cc.mallet.fst.MaxLatticeDefault
 
MaxLatticeDefault(Transducer, Sequence, Sequence) - Constructor for class cc.mallet.fst.MaxLatticeDefault
 
MaxLatticeDefault(Transducer, Sequence, Sequence, int) - Constructor for class cc.mallet.fst.MaxLatticeDefault
Initiate Viterbi decoding of the inputSequence, contrained to match non-null parts of the outputSequence.
MaxLatticeDefault.Factory - Class in cc.mallet.fst
 
MaxLatticeDefault.Factory() - Constructor for class cc.mallet.fst.MaxLatticeDefault.Factory
 
MaxLatticeFactory - Class in cc.mallet.fst
 
MaxLatticeFactory() - Constructor for class cc.mallet.fst.MaxLatticeFactory
 
maxT - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
maxTime() - Method in class cc.mallet.grmm.util.LabelsAssignment
 
maxTopic - Variable in class cc.mallet.topics.NPTopicModel
 
MCMaxEnt - Class in cc.mallet.classify
Maximum Entropy classifier.
MCMaxEnt(Pipe, double[], FeatureSelection, FeatureSelection[]) - Constructor for class cc.mallet.classify.MCMaxEnt
 
MCMaxEnt(Pipe, double[], FeatureSelection) - Constructor for class cc.mallet.classify.MCMaxEnt
 
MCMaxEnt(Pipe, double[], FeatureSelection[]) - Constructor for class cc.mallet.classify.MCMaxEnt
 
MCMaxEnt(Pipe, double[]) - Constructor for class cc.mallet.classify.MCMaxEnt
 
MCMaxEntTrainer - Class in cc.mallet.classify
The trainer for a Maximum Entropy classifier.
MCMaxEntTrainer(CommandOption.List) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
 
MCMaxEntTrainer(MCMaxEnt) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
 
MCMaxEntTrainer() - Constructor for class cc.mallet.classify.MCMaxEntTrainer
 
MCMaxEntTrainer(boolean) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
 
MCMaxEntTrainer(double) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
Constructs a trainer with a parameter to avoid overtraining.
MCMaxEntTrainer(double, boolean) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
 
MCMaxEntTrainer(double, double) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
 
mdlCurrent - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
mdlExample - Static variable in class cc.mallet.grmm.examples.ModelReaderExample
 
mdlToGraph(FactorGraph) - Static method in class cc.mallet.grmm.util.Graphs
Converts a FactorGraph into a plain graph where each Variable is a vertex, and two Variables are connected by an edge if they are arguments to the same factor.
mean(double[]) - Static method in class cc.mallet.types.MatrixOps
 
mean() - Method in class cc.mallet.util.Univariate
 
mean(InstanceList) - Static method in class cc.mallet.util.VectorStats
Returns a SparseVector whose entries (taken from the union of those in the instances) are the expected values of those in the InstanceList.
mean(InstanceList, int) - Static method in class cc.mallet.util.VectorStats
Returns a SparseVector whose entries (dense with the given number of indices) are the expected values of those in the InstanceList.
mean(InstanceList, int[]) - Static method in class cc.mallet.util.VectorStats
Returns a SparseVector whose entries (the given indices) are the expected values of those in the InstanceList.
meanCorrect() - Method in class cc.mallet.classify.ConfidencePredictingClassifier
 
meanIncorrect() - Method in class cc.mallet.classify.ConfidencePredictingClassifier
 
median() - Method in class cc.mallet.util.Univariate
 
MedoidEvaluator - Class in cc.mallet.cluster.neighbor_evaluator
Uses a Classifier over pairs of Instances to score Neighbor.
MedoidEvaluator(Classifier, String) - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator
 
MedoidEvaluator(Classifier, String, boolean, boolean) - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator
 
MedoidEvaluator.Average - Class in cc.mallet.cluster.neighbor_evaluator
 
MedoidEvaluator.Average() - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Average
 
MedoidEvaluator.CombiningStrategy - Interface in cc.mallet.cluster.neighbor_evaluator
Specifies how to combine a set of pairwise scores into a cluster-wise score.
MedoidEvaluator.Maximum - Class in cc.mallet.cluster.neighbor_evaluator
 
MedoidEvaluator.Maximum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Maximum
 
MedoidEvaluator.Minimum - Class in cc.mallet.cluster.neighbor_evaluator
 
MedoidEvaluator.Minimum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Minimum
 
MEMM - Class in cc.mallet.fst
A Maximum Entropy Markov Model.
MEMM(Pipe, Pipe) - Constructor for class cc.mallet.fst.MEMM
 
MEMM(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.MEMM
 
MEMM(CRF) - Constructor for class cc.mallet.fst.MEMM
 
MEMM.State - Class in cc.mallet.fst
 
MEMM.State(String, int, double, double, String[], String[], String[][], CRF) - Constructor for class cc.mallet.fst.MEMM.State
 
MEMM.TransitionIterator - Class in cc.mallet.fst
 
MEMM.TransitionIterator(MEMM.State, FeatureVectorSequence, int, String, CRF) - Constructor for class cc.mallet.fst.MEMM.TransitionIterator
 
MEMM.TransitionIterator(MEMM.State, FeatureVector, String, CRF) - Constructor for class cc.mallet.fst.MEMM.TransitionIterator
 
MEMMTrainer - Class in cc.mallet.fst
Trains and evaluates a MEMM.
MEMMTrainer(MEMM) - Constructor for class cc.mallet.fst.MEMMTrainer
 
MEMMTrainer.MEMMOptimizableByLabelLikelihood - Class in cc.mallet.fst
Represents the terms in the objective function.
MEMMTrainer.MEMMOptimizableByLabelLikelihood(MEMM, InstanceList) - Constructor for class cc.mallet.fst.MEMMTrainer.MEMMOptimizableByLabelLikelihood
 
mergeClusters(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
Relabels the clustering to reflect merging clusters i and j.
mergeInstances(Clustering, int[]) - Static method in class cc.mallet.cluster.util.ClusterUtils
Merge clusters containing the specified instances.
mergeInstances(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
mergeInstancesWithSameLabel(Clustering) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
MessageArray - Class in cc.mallet.grmm.inference
Efficiently manages a array of messages in a factor graph from variables to factors and vice versa.
MessageArray(FactorGraph) - Constructor for class cc.mallet.grmm.inference.MessageArray
 
MessageArray.Iterator - Class in cc.mallet.grmm.inference
 
MessageArray.Iterator() - Constructor for class cc.mallet.grmm.inference.MessageArray.Iterator
 
MessageArray.ToMsgsIterator - Class in cc.mallet.grmm.inference
 
messages - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation.AbstractMessageStrategy
 
MessageStrategy - Interface in cc.mallet.grmm.inference.gbp
Created: May 29, 2005
Metric - Interface in cc.mallet.types
 
min(double[]) - Static method in class cc.mallet.types.MatrixOps
 
min() - Method in class cc.mallet.util.search.MinHeap
 
min() - Method in interface cc.mallet.util.search.PriorityQueue
Return the top element of the queue.
min() - Method in class cc.mallet.util.Univariate
 
MinHeap - Class in cc.mallet.util.search
Created by IntelliJ IDEA.
MinHeap(int) - Constructor for class cc.mallet.util.search.MinHeap
Create a binary heap with initial capacity capacity.
MinHeap() - Constructor for class cc.mallet.util.search.MinHeap
Create a binary heap with minimum initial capacity.
minIndex(double[]) - Static method in class cc.mallet.types.MatrixOps
 
minInfoGainSplit - Static variable in class cc.mallet.classify.DecisionTreeTrainer.Factory
 
Minkowski - Class in cc.mallet.types
 
Minkowski(double) - Constructor for class cc.mallet.types.Minkowski
Constructor for Minkowski metric.
MinSegmentConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence by the least confidence segment.
MinSegmentConfidenceEstimator(Transducer, TransducerConfidenceEstimator) - Constructor for class cc.mallet.fst.confidence.MinSegmentConfidenceEstimator
 
MIntInt2ObjectMap - Class in cc.mallet.grmm.util
Hash map that maps integer pairs to objects.
MIntInt2ObjectMap() - Constructor for class cc.mallet.grmm.util.MIntInt2ObjectMap
 
MIntInt2ObjectMap(int) - Constructor for class cc.mallet.grmm.util.MIntInt2ObjectMap
 
mix(AbstractTableFactor, AbstractTableFactor, double) - Static method in class cc.mallet.grmm.types.Factors
Returns a new Factor F = alpha * f1 + (1 - alpha) * f2.
model - Variable in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
 
model - Variable in class cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator
 
model - Variable in class cc.mallet.topics.LDAHyper.Topication
Deprecated.  
modelFilename - Variable in class cc.mallet.topics.ParallelTopicModel
 
modelFilename - Variable in class cc.mallet.topics.PolylingualTopicModel
 
modelLogLikelihood() - Method in class cc.mallet.topics.HierarchicalPAM
 
modelLogLikelihood() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
modelLogLikelihood() - Method in class cc.mallet.topics.ParallelTopicModel
 
modelLogLikelihood() - Method in class cc.mallet.topics.PolylingualTopicModel
 
modelLogLikelihood() - Method in class cc.mallet.topics.SimpleLDA
 
ModelReader - Class in cc.mallet.grmm.util
$Id: ModelReader.java,v 1.1 2007/10/22 21:37:58 mccallum Exp $
ModelReader() - Constructor for class cc.mallet.grmm.util.ModelReader
 
ModelReaderExample - Class in cc.mallet.grmm.examples
 
ModelReaderExample() - Constructor for class cc.mallet.grmm.examples.ModelReaderExample
 
Models - Class in cc.mallet.grmm.util
Static utilities that do useful things with factor graphs.
Models() - Constructor for class cc.mallet.grmm.util.Models
 
ModelWriter - Class in cc.mallet.grmm.util
$Id: ModelReader.java,v 1.1 2007/10/22 21:37:58 mccallum Exp $
ModelWriter() - Constructor for class cc.mallet.grmm.util.ModelWriter
 
modifyPotential(ACRF.UnrolledGraph, ACRF.UnrolledVarSet, AbstractTableFactor) - Method in class cc.mallet.grmm.learning.ACRF.Template
Modifies a factor computed from this template.
msgProduct(Factor, int, int) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation.AbstractMessageStrategy
 
msgProduct(Factor, int, int) - Method in interface cc.mallet.grmm.inference.AbstractBeliefPropagation.MessageStrategy
 
MUCEvaluator - Class in cc.mallet.cluster.evaluate
Evaluate a Clustering using the MUC evaluation metric.
MUCEvaluator() - Constructor for class cc.mallet.cluster.evaluate.MUCEvaluator
 
MultiInstanceList - Class in cc.mallet.types
An implementation of InstanceList that logically combines multiple instance lists so that they appear as one list without copying the original lists.
MultiInstanceList(InstanceList[]) - Constructor for class cc.mallet.types.MultiInstanceList
Constructs a MultiInstanceList with an array of InstanceList
MultiInstanceList(List<InstanceList>) - Constructor for class cc.mallet.types.MultiInstanceList
Constructs a MultiInstanceList with a List of InstanceList
Multinomial - Class in cc.mallet.types
A probability distribution over a set of features represented as a FeatureVector.
Multinomial(double[], Alphabet, int, boolean, boolean) - Constructor for class cc.mallet.types.Multinomial
 
Multinomial(double[], Alphabet) - Constructor for class cc.mallet.types.Multinomial
 
Multinomial(double[], int) - Constructor for class cc.mallet.types.Multinomial
 
Multinomial(double[]) - Constructor for class cc.mallet.types.Multinomial
 
Multinomial.Estimator - Class in cc.mallet.types
A hierarchy of classes used to produce estimates of probabilities, in the form of a Multinomial, from counts associated with the elements of an Alphabet.
Multinomial.Estimator(double[], int, Alphabet) - Constructor for class cc.mallet.types.Multinomial.Estimator
 
Multinomial.Estimator(double[], Alphabet) - Constructor for class cc.mallet.types.Multinomial.Estimator
 
Multinomial.Estimator() - Constructor for class cc.mallet.types.Multinomial.Estimator
 
Multinomial.Estimator(int) - Constructor for class cc.mallet.types.Multinomial.Estimator
 
Multinomial.Estimator(Alphabet) - Constructor for class cc.mallet.types.Multinomial.Estimator
 
Multinomial.LaplaceEstimator - Class in cc.mallet.types
An MEstimator with m set to 1.
Multinomial.LaplaceEstimator() - Constructor for class cc.mallet.types.Multinomial.LaplaceEstimator
 
Multinomial.LaplaceEstimator(int) - Constructor for class cc.mallet.types.Multinomial.LaplaceEstimator
 
Multinomial.LaplaceEstimator(Alphabet) - Constructor for class cc.mallet.types.Multinomial.LaplaceEstimator
 
Multinomial.Logged - Class in cc.mallet.types
A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi].
Multinomial.Logged(double[], Alphabet, int, boolean) - Constructor for class cc.mallet.types.Multinomial.Logged
 
Multinomial.Logged(double[], Alphabet, boolean) - Constructor for class cc.mallet.types.Multinomial.Logged
 
Multinomial.Logged(double[], Alphabet, int) - Constructor for class cc.mallet.types.Multinomial.Logged
 
Multinomial.Logged(double[], Alphabet) - Constructor for class cc.mallet.types.Multinomial.Logged
 
Multinomial.Logged(Multinomial) - Constructor for class cc.mallet.types.Multinomial.Logged
 
Multinomial.Logged(double[]) - Constructor for class cc.mallet.types.Multinomial.Logged
 
Multinomial.MAPEstimator - Class in cc.mallet.types
Unimplemented, but the MEstimators are.
Multinomial.MAPEstimator(Dirichlet) - Constructor for class cc.mallet.types.Multinomial.MAPEstimator
 
Multinomial.MEstimator - Class in cc.mallet.types
An Estimator in which probability estimates in a Multinomial are generated by adding a constant m (specified at construction time) to each count before dividing by the total of the m-biased counts.
Multinomial.MEstimator(Alphabet, double) - Constructor for class cc.mallet.types.Multinomial.MEstimator
 
Multinomial.MEstimator(int, double) - Constructor for class cc.mallet.types.Multinomial.MEstimator
 
Multinomial.MEstimator(double) - Constructor for class cc.mallet.types.Multinomial.MEstimator
 
Multinomial.MLEstimator - Class in cc.mallet.types
An MEstimator with m set to 0.
Multinomial.MLEstimator() - Constructor for class cc.mallet.types.Multinomial.MLEstimator
 
Multinomial.MLEstimator(int) - Constructor for class cc.mallet.types.Multinomial.MLEstimator
 
Multinomial.MLEstimator(Alphabet) - Constructor for class cc.mallet.types.Multinomial.MLEstimator
 
MultinomialHMM - Class in cc.mallet.topics
Latent Dirichlet Allocation.
MultinomialHMM(int, String, int) - Constructor for class cc.mallet.topics.MultinomialHMM
 
multiply(Factor) - Method in class cc.mallet.grmm.types.AbstractFactor
 
multiply(Factor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Returns the elementwise product of this potential and another one.
multiply(Factor) - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
multiply(Factor) - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
multiply(Factor) - Method in class cc.mallet.grmm.types.ConstantFactor
 
multiply(Factor) - Method in class cc.mallet.grmm.types.CPT
 
multiply(Factor) - Method in interface cc.mallet.grmm.types.Factor
Returns the elementwise product of this factor with another.
multiply(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
 
multiplyAll(Collection) - Static method in class cc.mallet.grmm.types.Factors
 
multiplyAll(Collection) - Static method in class cc.mallet.grmm.types.LogTableFactor
 
multiplyAll(Factor[]) - Static method in class cc.mallet.grmm.types.TableFactor
 
multiplyAll(Collection) - Static method in class cc.mallet.grmm.types.TableFactor
Returns the product of a collection of multinomial potentials.
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.AbstractFactor
 
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Does the conceptual equivalent of this *= pot.
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.BetaFactor
 
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.ConstantFactor
 
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.CPT
 
multiplyBy(Factor) - Method in interface cc.mallet.grmm.types.Factor
Does this *= pot.
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.FactorGraph
 
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.NormalFactor
 
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.UniformFactor
 
multiplyBy(Factor) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
multiplyByInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
multiplyByInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.LogTableFactor
Does the conceptual equivalent of this *= pot.
multiplyByInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.TableFactor
 
MultiSegmentationEvaluator - Class in cc.mallet.fst
Evaluates a transducer model, computes the precision, recall and F1 scores; considers segments that span across multiple tokens.
MultiSegmentationEvaluator(InstanceList[], String[], Object[], Object[]) - Constructor for class cc.mallet.fst.MultiSegmentationEvaluator
 
MultiSegmentationEvaluator(InstanceList, String, Object[], Object[]) - Constructor for class cc.mallet.fst.MultiSegmentationEvaluator
 
MultiSegmentationEvaluator(InstanceList, String, InstanceList, String, Object[], Object[]) - Constructor for class cc.mallet.fst.MultiSegmentationEvaluator
 
MultiSegmentationEvaluator(InstanceList, String, InstanceList, String, InstanceList, String, Object[], Object[]) - Constructor for class cc.mallet.fst.MultiSegmentationEvaluator
 
MultiSegmentationEvaluatorACRF - Class in cc.mallet.grmm.learning
 
MultiSegmentationEvaluatorACRF(Object[], Object[], boolean) - Constructor for class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF
This class WILL NOT WORK if segmentStartTags and segmentContinueTags are the same!!
MultiSegmentationEvaluatorACRF(Object[], Object[]) - Constructor for class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF
This class WILL NOT WORK if segmentStartTags and segmentContinueTags are the same!!
MultiSegmentationEvaluatorACRF(Object[], Object[], int) - Constructor for class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF
 
MultiSegmentationEvaluatorACRF.TestResults - Class in cc.mallet.grmm.learning
 
MultiSegmentationEvaluatorACRF.TestResults(Object[], Object[]) - Constructor for class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF.TestResults
 
mutualInformation(Factor) - Static method in class cc.mallet.grmm.types.Factors
Given a joint distribution over two variables, returns their mutual information.
MVNormal - Class in cc.mallet.util
Tools for working with multivariate normal distributions
MVNormal() - Constructor for class cc.mallet.util.MVNormal
 

N

NaiveBayes - Class in cc.mallet.classify
A classifier that classifies instances according to the NaiveBayes method.
NaiveBayes(Pipe, Multinomial.Logged, Multinomial.Logged[]) - Constructor for class cc.mallet.classify.NaiveBayes
Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.
NaiveBayes(Pipe, Multinomial, Multinomial[]) - Constructor for class cc.mallet.classify.NaiveBayes
Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.
NaiveBayesEMTrainer - Class in cc.mallet.classify
 
NaiveBayesEMTrainer() - Constructor for class cc.mallet.classify.NaiveBayesEMTrainer
 
NaiveBayesTrainer - Class in cc.mallet.classify
Class used to generate a NaiveBayes classifier from a set of training data.
NaiveBayesTrainer(NaiveBayes) - Constructor for class cc.mallet.classify.NaiveBayesTrainer
 
NaiveBayesTrainer(Pipe) - Constructor for class cc.mallet.classify.NaiveBayesTrainer
 
NaiveBayesTrainer() - Constructor for class cc.mallet.classify.NaiveBayesTrainer
 
NaiveBayesTrainer.Factory - Class in cc.mallet.classify
 
NaiveBayesTrainer.Factory() - Constructor for class cc.mallet.classify.NaiveBayesTrainer.Factory
 
name(int) - Method in class cc.mallet.classify.evaluate.Graph.Legend
 
name - Variable in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
name - Variable in class cc.mallet.types.Instance
 
name2state - Variable in class cc.mallet.fst.CRF
 
NBestViterbiConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence by the probability that one of the the Viterbi paths rank 2->N is correct.
NBestViterbiConfidenceEstimator(Transducer, int) - Constructor for class cc.mallet.fst.confidence.NBestViterbiConfidenceEstimator
 
Neighbor - Class in cc.mallet.cluster.neighbor_evaluator
A Clustering and a modified version of that Clustering.
Neighbor(Clustering, Clustering) - Constructor for class cc.mallet.cluster.neighbor_evaluator.Neighbor
 
NeighborEvaluator - Interface in cc.mallet.cluster.neighbor_evaluator
Scores the value of changing the current Clustering to the modified Clustering specified in a Neighbor object.
NeighborIterator - Class in cc.mallet.cluster.iterator
Sample Instances with data objects equal to Neighbors.
NeighborIterator(Clustering) - Constructor for class cc.mallet.cluster.iterator.NeighborIterator
 
NEPipes - Class in cc.mallet.share.upenn.ner
 
NEPipes(File) - Constructor for class cc.mallet.share.upenn.ner.NEPipes
 
newClassifierTrainer(Classifier) - Method in class cc.mallet.classify.ClassifierTrainer.Factory
 
newClassifierTrainer() - Method in class cc.mallet.classify.ClassifierTrainer.Factory
 
newClassifierTrainer(Classifier) - Method in class cc.mallet.classify.DecisionTreeTrainer.Factory
 
newClassifierTrainer(Classifier) - Method in class cc.mallet.classify.NaiveBayesTrainer.Factory
 
newCRFOptimizable(CRF, InstanceList, int) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood.Factory
 
newCRFOptimizable(CRF, InstanceList) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood.Factory
 
newFeatureVector(FeatureVector, Alphabet, FeatureSelection) - Static method in class cc.mallet.types.FeatureVector
Construct a new FeatureVector, selecting only those features in fs, and having new (presumably more compact, dense) Alphabet.
newIteratorFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.BranchingPipe
Deprecated.  
newIteratorFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.FeatureVectorSequence2FeatureVectors
 
newIteratorFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.FilterEmptyFeatureVectors
 
newIteratorFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.Pipe
Given an InstanceIterator, return a new InstanceIterator whose instances have also been processed by this pipe.
newIteratorFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.SerialPipes
 
newIteratorFrom(Iterator<Instance>) - Method in class cc.mallet.pipe.TokenSequence2TokenInstances
 
newMaxLattice(Transducer, Sequence, Sequence) - Method in class cc.mallet.fst.MaxLatticeDefault.Factory
 
newMaxLattice(Transducer, Sequence) - Method in class cc.mallet.fst.MaxLatticeFactory
 
newMaxLattice(Transducer, Sequence, Sequence) - Method in class cc.mallet.fst.MaxLatticeFactory
 
newMessages - Variable in class cc.mallet.grmm.inference.gbp.AbstractMessageStrategy
 
newPartiallyRankedFeatureVector(InstanceList, LabelVector[]) - Method in interface cc.mallet.types.PartiallyRankedFeatureVector.Factory
 
newPartiallyRankedFeatureVectors(InstanceList, LabelVector[]) - Method in interface cc.mallet.types.PartiallyRankedFeatureVector.PerLabelFactory
 
newRankedFeatureVector(InstanceList) - Method in class cc.mallet.types.ExpGain.Factory
 
newRankedFeatureVector(InstanceList) - Method in class cc.mallet.types.FeatureCounts.Factory
 
newRankedFeatureVector(InstanceList) - Method in class cc.mallet.types.GradientGain.Factory
 
newRankedFeatureVector(InstanceList) - Method in class cc.mallet.types.InfoGain.Factory
 
newRankedFeatureVector(InstanceList) - Method in interface cc.mallet.types.RankedFeatureVector.Factory
 
newRankedFeatureVectors(InstanceList) - Method in class cc.mallet.types.PerLabelFeatureCounts.Factory
 
newRankedFeatureVectors(InstanceList) - Method in class cc.mallet.types.PerLabelInfoGain.Factory
 
newRankedFeatureVectors(InstanceList) - Method in interface cc.mallet.types.RankedFeatureVector.PerLabelFactory
 
newSerialPipesFromRange(int, int) - Method in class cc.mallet.pipe.SerialPipes
 
newSerialPipesFromSuffix(SerialPipes.Predicate) - Method in class cc.mallet.pipe.SerialPipes
 
newState(String, int, double, double, String[], String[], String[][], CRF) - Method in class cc.mallet.fst.CRF
 
newState(String, int, double, double, String[], String[], String[][], CRF) - Method in class cc.mallet.fst.MEMM
 
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Method in class cc.mallet.fst.SumLatticeBeam.Factory
 
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Method in class cc.mallet.fst.SumLatticeDefault.Factory
 
newSumLattice(Transducer, Sequence) - Method in class cc.mallet.fst.SumLatticeFactory
 
newSumLattice(Transducer, Sequence, Transducer.Incrementor) - Method in class cc.mallet.fst.SumLatticeFactory
 
newSumLattice(Transducer, Sequence, Sequence) - Method in class cc.mallet.fst.SumLatticeFactory
 
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor) - Method in class cc.mallet.fst.SumLatticeFactory
 
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet) - Method in class cc.mallet.fst.SumLatticeFactory
 
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean) - Method in class cc.mallet.fst.SumLatticeFactory
 
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Method in class cc.mallet.fst.SumLatticeFactory
Returns a SumLattice object to run forward-backward.
newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Method in class cc.mallet.fst.SumLatticeScaling.Factory
 
newTSP() - Method in class cc.mallet.classify.tests.TestStaticParameters.Factory
 
next() - Method in class cc.mallet.cluster.iterator.AllPairsIterator
 
next() - Method in class cc.mallet.cluster.iterator.ClusterSampleIterator
 
next() - Method in class cc.mallet.cluster.iterator.NodeClusterSampleIterator
 
next() - Method in class cc.mallet.cluster.iterator.PairSampleIterator
 
next() - Method in class cc.mallet.fst.Transducer.TransitionIterator
 
next() - Method in class cc.mallet.grmm.inference.MessageArray.Iterator
 
next() - Method in class cc.mallet.grmm.inference.MessageArray.ToMsgsIterator
 
next() - Method in class cc.mallet.grmm.util.PipedIterator
Deprecated.  
next() - Method in class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
 
next() - Method in class cc.mallet.pipe.iterator.ArrayIterator
 
next() - Method in class cc.mallet.pipe.iterator.ConcatenatedInstanceIterator
 
next() - Method in class cc.mallet.pipe.iterator.CsvIterator
 
next() - Method in class cc.mallet.pipe.iterator.EmptyInstanceIterator
 
next() - Method in class cc.mallet.pipe.iterator.FileIterator
 
next() - Method in class cc.mallet.pipe.iterator.FileListIterator
 
next() - Method in class cc.mallet.pipe.iterator.FileUriIterator
 
next() - Method in class cc.mallet.pipe.iterator.LineGroupIterator
 
next() - Method in class cc.mallet.pipe.iterator.LineIterator
 
next() - Method in class cc.mallet.pipe.iterator.ParenGroupIterator
 
next() - Method in class cc.mallet.pipe.iterator.PatternMatchIterator
 
next() - Method in class cc.mallet.pipe.iterator.PipeExtendedIterator
Deprecated.  
next() - Method in class cc.mallet.pipe.iterator.PipeInputIterator
Deprecated.  
next() - Method in class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
next() - Method in class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
next() - Method in class cc.mallet.pipe.iterator.SegmentIterator
 
next() - Method in class cc.mallet.pipe.iterator.SelectiveFileLineIterator
 
next() - Method in class cc.mallet.pipe.iterator.SimpleFileLineIterator
 
next() - Method in class cc.mallet.pipe.iterator.StringArrayIterator
 
next() - Method in class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
next() - Method in class cc.mallet.types.ChainedInstanceIterator
Deprecated.  
next() - Method in class cc.mallet.types.CrossValidationIterator
Returns the next training/testing split.
next() - Method in class cc.mallet.types.FeatureVectorSequence.Iterator
 
next() - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
 
next() - Method in class cc.mallet.types.LabelSequence.Iterator
 
next() - Method in class cc.mallet.types.SingleInstanceIterator
 
next() - Method in class cc.mallet.util.CharSequenceLexer
 
next() - Method in interface cc.mallet.util.Lexer
 
next() - Method in class cc.mallet.util.PropertyList.Iterator
 
next - Variable in class cc.mallet.util.PropertyList
 
next() - Method in class cc.mallet.util.search.AStar
 
next() - Method in class cc.mallet.util.search.SearchNode.NextNodeIterator
 
next() - Method in class cc.mallet.util.search.SearchState.NextStateIterator
 
nextAnswer() - Method in class cc.mallet.util.search.AStar
Get the next search node for a final state.
nextBeta(double, double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Beta distribution with mean a/(a+b) and variance ab/((a+b+1)(a+b)^2).
nextBitSet(int, double) - Method in class cc.mallet.util.Randoms
Return a random BitSet with "size" bits, each having probability p of being true.
nextBoolean() - Method in class cc.mallet.util.Randoms
Return a random boolean, equally likely to be true or false.
nextBoolean(double) - Method in class cc.mallet.util.Randoms
Return a random boolean, with probability p of being true.
nextChiSq() - Method in class cc.mallet.util.Randoms
Return a random double drawn from an Chi-squarted distribution with mean 1 and variance 2.
nextChiSq(int) - Method in class cc.mallet.util.Randoms
Return a random double drawn from an Chi-squared distribution with mean df and variance 2*df.
nextChiSq(int, double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from an Chi-squared distribution with mean df+lambda and variance 2*df.
nextDeselectedIndex(int) - Method in class cc.mallet.types.FeatureSelection
 
nextDiscrete(double[]) - Method in class cc.mallet.util.Randoms
Draw a single sample from multinomial "a".
nextDiscrete(double[], double) - Method in class cc.mallet.util.Randoms
draw a single sample from (unnormalized) multinomial "a", with normalizing factor "sum".
nextDistribution() - Method in class cc.mallet.types.Dirichlet
 
nextExp() - Method in class cc.mallet.util.Randoms
Return a random double drawn from an Exponential distribution with mean 1 and variance 1.
nextExp(double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from an Exponential distribution with mean beta and variance beta^2.
nextExp(double, double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from an Exponential distribution with mean beta+lambda and variance beta^2.
nextFactor(VarSet) - Method in interface cc.mallet.grmm.inference.RandomGraphs.FactorGenerator
 
nextFactor(VarSet) - Method in class cc.mallet.grmm.inference.RandomGraphs.UniformFactorGenerator
 
nextFeatureVector(Alphabet, double[], double[], Randoms) - Static method in class cc.mallet.util.MVNormal
 
nextFile() - Method in class cc.mallet.pipe.iterator.FileIterator
 
nextFile() - Method in class cc.mallet.pipe.iterator.FileListIterator
 
nextFile() - Method in class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
nextGamma() - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Gamma distribution with mean 1.0 and variance 1.0.
nextGamma(double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Gamma distribution with mean alpha and variance 1.0.
nextGamma(double, double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Gamma distribution with mean alpha*beta and variance alpha*beta^2.
nextGamma(double, double, double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Gamma distribution with mean alpha*beta+lamba and variance alpha*beta^2.
nextGaussian() - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Gaussian distribution with mean 0 and variance 1.
nextGaussian(double, double) - Method in class cc.mallet.util.Randoms
Return a random double drawn from a Gaussian distribution with mean m and variance s2.
nextMVNormal(double[], double[], Randoms) - Static method in class cc.mallet.util.MVNormal
Sample a multivariate normal from a precision matrix (ie inverse covariance matrix)
nextMVNormal(int, double[], double[], Randoms) - Static method in class cc.mallet.util.MVNormal
 
nextMVNormalPosterior(double[], double[], double[], double[], int, Randoms) - Static method in class cc.mallet.util.MVNormal
 
nextMVNormalWithCholesky(double[], double[], Randoms) - Static method in class cc.mallet.util.MVNormal
 
nextNode() - Method in class cc.mallet.util.search.AStarNode.NextNodeIterator
 
nextNode() - Method in class cc.mallet.util.search.SearchNode.NextNodeIterator
The search tree node for the next state reached from the current state.
nextPoisson(double) - Method in class cc.mallet.util.Randoms
Return random integer from Poission with parameter lambda.
nextPoisson() - Method in class cc.mallet.util.Randoms
Return nextPoisson(1).
nextProperty() - Method in class cc.mallet.util.PropertyList.Iterator
 
nextSegment() - Method in class cc.mallet.pipe.iterator.SegmentIterator
 
nextSelectedIndex(int) - Method in class cc.mallet.types.FeatureSelection
 
nextSplit() - Method in class cc.mallet.types.CrossValidationIterator
Returns the next training/testing split.
nextSplit(int) - Method in class cc.mallet.types.CrossValidationIterator
Returns the next training/testing split.
nextSplit() - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
Returns the next training/testing split.
nextSplit(int) - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
Returns the next split, given the number of folds you want in the training data.
nextState() - Method in class cc.mallet.fst.CRF.TransitionIterator
 
nextState() - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
 
nextState() - Method in class cc.mallet.fst.HMM.TransitionIterator
 
nextState() - Method in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
nextState() - Method in class cc.mallet.fst.Transducer.TransitionIterator
Deprecated. 
nextState() - Method in class cc.mallet.util.search.SearchState.NextStateIterator
Get the next reachable state.
nextTree(FactorGraph) - Method in class cc.mallet.grmm.inference.TRP.AlmostRandomTreeFactory
 
nextTree(FactorGraph) - Method in interface cc.mallet.grmm.inference.TRP.TreeFactory
 
nextTree(FactorGraph) - Method in class cc.mallet.grmm.inference.TRP.TreeListFactory
 
nextUniform() - Method in class cc.mallet.util.Randoms
Return a random double in the range 0 to 1, inclusive, uniformly sampled from that range.
nextUniform(double, double) - Method in class cc.mallet.util.Randoms
Return a random double in the range a to b, inclusive, uniformly sampled from that range.
nextWishart(double[], int, int, Randoms) - Static method in class cc.mallet.util.MVNormal
A Wishart random variate, based on R code by Bill Venables.
nextWishartPosterior(double[], int, double[], int, int, Randoms) - Static method in class cc.mallet.util.MVNormal
 
nextZeroSumMVNormalWithCholesky(double[], double[], Randoms) - Static method in class cc.mallet.util.MVNormal
Sample a vector x from N(m, (LL')-1, such that sum_i x_i = 0.
ngramify(CharSequence) - Method in class cc.mallet.pipe.CharSequence2CharNGrams
 
no_longer_needed_sumNegLogProb(double, double) - Static method in class cc.mallet.fst.Transducer
 
NO_WRONG_WRONG - Static variable in class cc.mallet.grmm.learning.PwplACRFTrainer
 
NodeClusterSampleIterator - Class in cc.mallet.cluster.iterator
Samples merges of a singleton cluster with another (possibly non-singleton) cluster.
NodeClusterSampleIterator(Clustering, Randoms, double, int) - Constructor for class cc.mallet.cluster.iterator.NodeClusterSampleIterator
 
nodes - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
 
nodes - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
noisify(double) - Method in class cc.mallet.types.InstanceList
Deprecated. 
NONMATCH - Static variable in class cc.mallet.types.StringEditVector
 
nonsingletonClusters - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
Noop - Class in cc.mallet.pipe
A pipe that does nothing to the instance fields but which has side effects on the dictionary.
Noop() - Constructor for class cc.mallet.pipe.Noop
 
Noop(Alphabet, Alphabet) - Constructor for class cc.mallet.pipe.Noop
Pass through input without change, but force the creation of Alphabet's, so it can be shared by future DictionariedPipe's.
NoopTransducerTrainer - Class in cc.mallet.fst
A TransducerTrainer that does no training, but simply acts as a container for a Transducer; for use in situations that require a TransducerTrainer, such as the TransducerEvaluator methods.
NoopTransducerTrainer(Transducer) - Constructor for class cc.mallet.fst.NoopTransducerTrainer
 
NormalFactor - Class in cc.mallet.grmm.types
Multivariate Gaussian factor.
NormalFactor(VarSet, Vector, Matrix) - Constructor for class cc.mallet.grmm.types.NormalFactor
 
normalize() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
normalize() - Method in class cc.mallet.grmm.types.Assignment
 
normalize() - Method in class cc.mallet.grmm.types.BetaFactor
 
normalize() - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
normalize() - Method in class cc.mallet.grmm.types.ConstantFactor
 
normalize() - Method in class cc.mallet.grmm.types.CPT
 
normalize() - Method in interface cc.mallet.grmm.types.Factor
Multiplies this potential by a constant such that it sums to 1.
normalize() - Method in class cc.mallet.grmm.types.FactorGraph
 
normalize() - Method in class cc.mallet.grmm.types.LogTableFactor
 
normalize() - Method in class cc.mallet.grmm.types.NormalFactor
 
normalize() - Method in class cc.mallet.grmm.types.PottsTableFactor
 
normalize() - Method in class cc.mallet.grmm.types.SkeletonFactor
 
normalize() - Method in class cc.mallet.grmm.types.TableFactor
Multiplies every entry in the potential by a constant such that all the entries sum to 1.
normalize() - Method in class cc.mallet.grmm.types.UniformFactor
 
normalize() - Method in class cc.mallet.grmm.types.UniNormalFactor
 
normalize(double[]) - Static method in class cc.mallet.types.DenseVector
 
normalize(double[]) - Static method in class cc.mallet.types.MatrixOps
 
normalizeAll() - Method in class cc.mallet.grmm.inference.JunctionTree
Normalizes all potentials in the tree, both node and sepset.
normalizeAsCpt(AbstractTableFactor, Variable) - Static method in class cc.mallet.grmm.types.Factors
 
normalizeBeliefs - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
normalized - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
normalized - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
NORMALIZED_COUNT - Static variable in class cc.mallet.pipe.tsf.CountMatches
 
NormalizedDotProductMetric - Class in cc.mallet.types
Computes 1 - [ / sqrt (*)] aka 1 - cosine similarity
NormalizedDotProductMetric() - Constructor for class cc.mallet.types.NormalizedDotProductMetric
 
NPTopicModel - Class in cc.mallet.topics
A non-parametric topic model that uses the "minimal path" assumption to reduce bookkeeping.
NPTopicModel(double, double, double) - Constructor for class cc.mallet.topics.NPTopicModel
 
NullLabel - Class in cc.mallet.types
Object that carries a LabelAlphabet.
NullLabel(LabelAlphabet) - Constructor for class cc.mallet.types.NullLabel
 
NUM_LEVELS - Static variable in class cc.mallet.topics.HierarchicalPAM
 
numBatches - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
numberNext() - Method in class cc.mallet.fst.Transducer.TransitionIterator
Deprecated. 
numberSamples - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
numClasses - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
numCombinations(int, int) - Static method in class cc.mallet.util.Maths
 
numConstraints - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
numConstraints() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
numCorrect() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
numCorrectAtCoverage(double) - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
numDestinations() - Method in class cc.mallet.fst.CRF.State
 
numDimensions() - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
 
numDimensions() - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
numDimensions - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
numDimensions() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
numDimensions() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
numDimensions() - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
numericIterator() - Method in class cc.mallet.util.PropertyList
 
numFeatures - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
numFeatures - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
numIncorrectSegments(Sequence, Sequence) - Method in class cc.mallet.fst.MultiSegmentationEvaluator
Returns the number of incorrect segments in predOutput
numIterations - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
numIterations - Variable in class cc.mallet.topics.ParallelTopicModel
 
numIterations - Variable in class cc.mallet.topics.PolylingualTopicModel
 
numLabels - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
numLabels - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
numLabels - Variable in class cc.mallet.cluster.Clustering
 
numLevels() - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
numLocations() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
numLocations() - Method in class cc.mallet.grmm.types.CPT
 
numLocations() - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
numLocations() - Method in class cc.mallet.types.AugmentableFeatureVector
 
numLocations() - Method in interface cc.mallet.types.ConstantMatrix
 
numLocations() - Method in class cc.mallet.types.DenseMatrix
 
numLocations() - Method in class cc.mallet.types.Label
 
numLocations() - Method in interface cc.mallet.types.Labeling
 
numLocations() - Method in class cc.mallet.types.SparseMatrixn
 
numLocations() - Method in class cc.mallet.types.SparseVector
 
numMaxViterbi - Static variable in class cc.mallet.extract.LatticeViewer
 
numParameters - Variable in class cc.mallet.fst.CRF
 
numParameters - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
numParameters - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
numParameters() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
numPermutations(int, int) - Static method in class cc.mallet.util.Maths
 
numRanked() - Method in class cc.mallet.types.PartiallyRankedFeatureVector
 
numRows() - Method in class cc.mallet.grmm.types.Assignment
 
numSlices() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
numSlices() - Method in class cc.mallet.grmm.util.LabelsAssignment
 
numStates() - Method in class cc.mallet.fst.CRF
 
numStates() - Method in class cc.mallet.fst.FeatureTransducer
 
numStates() - Method in class cc.mallet.fst.HMM
 
numStates - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
 
numStates - Variable in class cc.mallet.fst.semi_supervised.GELattice
 
numStates() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
numStates() - Method in class cc.mallet.fst.Transducer
 
numStopwords - Variable in class cc.mallet.topics.PolylingualTopicModel
 
numThreads - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
numThreads - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
numTopics - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
numTopics - Variable in class cc.mallet.topics.MarginalProbEstimator
 
numTopics - Variable in class cc.mallet.topics.NPTopicModel
 
numTopics - Variable in class cc.mallet.topics.ParallelTopicModel
 
numTopics - Variable in class cc.mallet.topics.PolylingualTopicModel
 
numTopics - Variable in class cc.mallet.topics.SimpleLDA
 
numTopics - Variable in class cc.mallet.topics.TopicInferencer
 
numTopics - Variable in class cc.mallet.topics.WorkerRunnable
 
numTypes - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
numTypes - Variable in class cc.mallet.topics.NPTopicModel
 
numTypes - Variable in class cc.mallet.topics.ParallelTopicModel
 
numTypes - Variable in class cc.mallet.topics.SimpleLDA
 
numTypes - Variable in class cc.mallet.topics.TopicInferencer
 
numTypes - Variable in class cc.mallet.topics.WorkerRunnable
 
numValues() - Method in class cc.mallet.extract.Field
 
numVariables() - Method in class cc.mallet.grmm.types.Assignment
 
numVariables() - Method in class cc.mallet.grmm.types.FactorGraph
Returns the number of variable nodes in the graph.

O

objectIterator() - Method in class cc.mallet.util.PropertyList
 
objectToUri(Object) - Static method in class cc.mallet.util.UriUtils
 
objWeight - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
observedValue(Variable) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
OffsetConjunctions - Class in cc.mallet.pipe.tsf
 
OffsetConjunctions(boolean, Pattern, int[][]) - Constructor for class cc.mallet.pipe.tsf.OffsetConjunctions
 
OffsetConjunctions(boolean, int[][]) - Constructor for class cc.mallet.pipe.tsf.OffsetConjunctions
 
OffsetConjunctions(int[][]) - Constructor for class cc.mallet.pipe.tsf.OffsetConjunctions
 
OffsetFeatureConjunction - Class in cc.mallet.pipe.tsf
 
OffsetFeatureConjunction(String, String[], int[], boolean[], boolean) - Constructor for class cc.mallet.pipe.tsf.OffsetFeatureConjunction
Create a Pipe for adding conjunctions of specified features.
OffsetFeatureConjunction(String, String[], int[], boolean) - Constructor for class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
OffsetFeatureConjunction(String, String[], int[]) - Constructor for class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
OffsetPropertyConjunctions - Class in cc.mallet.pipe.tsf
 
OffsetPropertyConjunctions(boolean, int[][]) - Constructor for class cc.mallet.pipe.tsf.OffsetPropertyConjunctions
 
OffsetPropertyConjunctions(int[][]) - Constructor for class cc.mallet.pipe.tsf.OffsetPropertyConjunctions
 
oldLogGamma(double) - Static method in class cc.mallet.util.Maths
 
oldMessages - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation.AbstractMessageStrategy
 
oldMessages - Variable in class cc.mallet.grmm.inference.gbp.AbstractMessageStrategy
 
oldNextGamma(int) - Method in class cc.mallet.util.Randoms
 
ols(Univariate, Univariate) - Static method in class cc.mallet.util.StatFunctions
 
oneDistance(Factor, Factor) - Static method in class cc.mallet.grmm.types.Factors
 
oneDocTopicCounts - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
oneDocTopicCounts - Variable in class cc.mallet.topics.PolylingualTopicModel
 
oneDocTopicCounts - Variable in class cc.mallet.topics.SimpleLDA
 
OneLabelGEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on distributions over single labels conditioned on the presence of input features.
OneLabelGEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
OneLabelGEConstraints(TIntObjectHashMap<OneLabelGEConstraints.OneLabelGEConstraint>, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
OneLabelGEConstraints.OneLabelGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
 
OneLabelGEConstraints.OneLabelGEConstraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
OneLabelKLGEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on distributions over consecutive labels conditioned an input features.
OneLabelKLGEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints
 
OneLabelKLGEConstraints.OneLabelGEKLConstraint - Class in cc.mallet.fst.semi_supervised.constraints
 
OneLabelKLGEConstraints.OneLabelGEKLConstraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints.OneLabelGEKLConstraint
 
OneLabelL2GEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on distributions over consecutive labels conditioned an input features.
OneLabelL2GEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints
 
OneLabelL2GEConstraints.OneLabelGEL2Constraint - Class in cc.mallet.fst.semi_supervised.constraints
 
OneLabelL2GEConstraints.OneLabelGEL2Constraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints.OneLabelGEL2Constraint
 
OneLabelL2IndPRConstraints - Class in cc.mallet.fst.semi_supervised.pr.constraints
A set of constraints on individual input feature label pairs.
OneLabelL2IndPRConstraints(boolean) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
OneLabelL2IndPRConstraints(TIntObjectHashMap<OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint>, StateLabelMap, boolean) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint - Class in cc.mallet.fst.semi_supervised.pr.constraints
 
OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint() - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
OneLabelL2PRConstraints - Class in cc.mallet.fst.semi_supervised.pr.constraints
A set of constraints on distributions over single labels conditioned on the presence of input features.
OneLabelL2PRConstraints(boolean) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
OneLabelL2PRConstraints(TIntObjectHashMap<OneLabelL2PRConstraints.OneLabelPRConstraint>, TIntIntHashMap, StateLabelMap, boolean) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
OneLabelL2PRConstraints.OneLabelPRConstraint - Class in cc.mallet.fst.semi_supervised.pr.constraints
 
OneLabelL2PRConstraints.OneLabelPRConstraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
 
OneLabelL2RangeGEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on individual input feature label pairs.
OneLabelL2RangeGEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
OneLabelL2RangeGEConstraints(TIntObjectHashMap<OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint>, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
 
OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint() - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
oneNorm() - Method in class cc.mallet.types.AugmentableFeatureVector
 
oneNorm() - Method in interface cc.mallet.types.ConstantMatrix
 
oneNorm() - Method in class cc.mallet.types.DenseMatrix
 
oneNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
 
oneNorm() - Method in class cc.mallet.types.SparseMatrixn
 
oneNorm() - Method in class cc.mallet.types.SparseVector
 
oneNormalize() - Method in class cc.mallet.types.DenseMatrix
 
oneNormalize() - Method in interface cc.mallet.types.Matrix
 
oneNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
 
oneNormalize() - Method in class cc.mallet.types.SparseMatrixn
 
openReader(File) - Static method in class cc.mallet.topics.tui.DMRLoader
 
optimizable - Variable in class cc.mallet.fst.ThreadedOptimizable
optimizable to be parallelized
Optimizable - Interface in cc.mallet.optimize
 
Optimizable.ByBatchGradient - Interface in cc.mallet.optimize
 
Optimizable.ByCombiningBatchGradient - Interface in cc.mallet.optimize
 
Optimizable.ByGISUpdate - Interface in cc.mallet.optimize
 
Optimizable.ByGradient - Interface in cc.mallet.optimize
 
Optimizable.ByGradientValue - Interface in cc.mallet.optimize
 
Optimizable.ByHessian - Interface in cc.mallet.optimize
 
Optimizable.ByValue - Interface in cc.mallet.optimize
 
Optimizable.ByVotedPerceptron - Interface in cc.mallet.optimize
 
OptimizableCollection - Class in cc.mallet.optimize
 
OptimizableCollection() - Constructor for class cc.mallet.optimize.OptimizableCollection
 
OptimizableCollection.ByGradientValue - Class in cc.mallet.optimize
 
OptimizableCollection.ByGradientValue(Optimizable.ByGradientValue...) - Constructor for class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
OptimizationException - Exception in cc.mallet.optimize
General exception thrown by optimization algorithms when there is an optimization-specific problem.
OptimizationException() - Constructor for exception cc.mallet.optimize.OptimizationException
 
OptimizationException(String) - Constructor for exception cc.mallet.optimize.OptimizationException
 
OptimizationException(String, Throwable) - Constructor for exception cc.mallet.optimize.OptimizationException
 
OptimizationException(Throwable) - Constructor for exception cc.mallet.optimize.OptimizationException
 
optimize() - Method in class cc.mallet.optimize.AGIS
 
optimize(int) - Method in class cc.mallet.optimize.AGIS
 
optimize(double[], double) - Method in class cc.mallet.optimize.BackTrackLineSearch
 
optimize() - Method in class cc.mallet.optimize.ConjugateGradient
 
optimize(int) - Method in class cc.mallet.optimize.ConjugateGradient
 
optimize() - Method in class cc.mallet.optimize.GradientAscent
 
optimize(int) - Method in class cc.mallet.optimize.GradientAscent
 
optimize(double[], double) - Method in class cc.mallet.optimize.GradientBracketLineOptimizer
 
optimize() - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
optimize(int) - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
optimize(double[], double) - Method in interface cc.mallet.optimize.LineOptimizer.ByGradient
Returns the last step size used.
optimize(double[], double) - Method in interface cc.mallet.optimize.LineOptimizer
Returns the last step size used.
optimize(int, int[]) - Method in interface cc.mallet.optimize.Optimizer.ByBatches
Deprecated.  
optimize(int, int, int[]) - Method in interface cc.mallet.optimize.Optimizer.ByBatches
Deprecated.  
optimize() - Method in interface cc.mallet.optimize.Optimizer
 
optimize(int) - Method in interface cc.mallet.optimize.Optimizer
 
optimize() - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
optimize(int) - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
optimize(int, int[]) - Method in class cc.mallet.optimize.StochasticMetaAscent
 
optimize(int, int, int[]) - Method in class cc.mallet.optimize.StochasticMetaAscent
 
optimizeAlpha(WorkerRunnable[]) - Method in class cc.mallet.topics.ParallelTopicModel
 
optimizeBeta(WorkerRunnable[]) - Method in class cc.mallet.topics.ParallelTopicModel
 
optimizeBetas() - Method in class cc.mallet.topics.PolylingualTopicModel
 
optimizeInterval - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
optimizeInterval - Variable in class cc.mallet.topics.ParallelTopicModel
 
optimizeInterval - Variable in class cc.mallet.topics.PolylingualTopicModel
 
Optimizer - Interface in cc.mallet.optimize
 
Optimizer.ByBatches - Interface in cc.mallet.optimize
Deprecated. 
OptimizerEvaluator - Interface in cc.mallet.optimize
Callback interface that allows optimizer clients to perform some operation after every iteration.
OptimizerEvaluator.ByBatchGradient - Interface in cc.mallet.optimize
 
OptimizerEvaluator.ByGradient - Interface in cc.mallet.optimize
 
or(FeatureSelection) - Method in class cc.mallet.types.FeatureSelection
 
OrthantWiseLimitedMemoryBFGS - Class in cc.mallet.optimize
Implementation of orthant-wise limited memory quasi Newton method for optimizing convex L1-regularized objectives.
OrthantWiseLimitedMemoryBFGS(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
OrthantWiseLimitedMemoryBFGS(Optimizable.ByGradientValue, double) - Constructor for class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
 
output - Variable in class cc.mallet.types.SequencePair
 
output() - Method in class cc.mallet.types.SequencePair
 
outputAlphabet - Variable in class cc.mallet.fst.CRF
 
outputModelFilename - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
outputModelInterval - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
outputPipe - Variable in class cc.mallet.fst.Transducer
A pipe that should expect the Transducer's output sequence in the "target" slot, and should produce something printable in the "source" slot that indicates the results of transduction.
OVER_MAX - Static variable in class cc.mallet.pipe.tsf.CountMatches
 

P

PagedInstanceList - Class in cc.mallet.types
An InstanceList which avoids OutOfMemoryErrors by saving Instances to disk when there is not enough memory to create a new Instance.
PagedInstanceList(Pipe, int, int, File) - Constructor for class cc.mallet.types.PagedInstanceList
Creates a PagedInstanceList where "instancesPerPage" instances are swapped to disk in directory "swapDir" if the amount of free system memory drops below "minFreeMemory" bytes
PagedInstanceList(Pipe, int, int) - Constructor for class cc.mallet.types.PagedInstanceList
 
paint(Graphics) - Method in class cc.mallet.classify.evaluate.Graph
Paint the graph outline
paint(Graphics) - Method in class cc.mallet.classify.evaluate.Graph2
 
PairF1Evaluator - Class in cc.mallet.cluster.evaluate
Evaluates two clustering using pairwise comparisons.
PairF1Evaluator() - Constructor for class cc.mallet.cluster.evaluate.PairF1Evaluator
 
PairSampleIterator - Class in cc.mallet.cluster.iterator
Sample pairs of Instances.
PairSampleIterator(Clustering, Randoms, double, int) - Constructor for class cc.mallet.cluster.iterator.PairSampleIterator
 
PairwiseEvaluator - Class in cc.mallet.cluster.neighbor_evaluator
Uses a Classifier over pairs of Instances to score Neighbor.
PairwiseEvaluator(Classifier, String, PairwiseEvaluator.CombiningStrategy, boolean) - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator
 
PairwiseEvaluator.Average - Class in cc.mallet.cluster.neighbor_evaluator
 
PairwiseEvaluator.Average() - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Average
 
PairwiseEvaluator.CombiningStrategy - Interface in cc.mallet.cluster.neighbor_evaluator
Specifies how to combine a set of pairwise scores into a cluster-wise score.
PairwiseEvaluator.Maximum - Class in cc.mallet.cluster.neighbor_evaluator
 
PairwiseEvaluator.Maximum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Maximum
 
PairwiseEvaluator.Minimum - Class in cc.mallet.cluster.neighbor_evaluator
 
PairwiseEvaluator.Minimum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Minimum
 
PairwiseMatrix - Class in cc.mallet.cluster.util
2-D upper-triangular matrix.
PairwiseMatrix(int) - Constructor for class cc.mallet.cluster.util.PairwiseMatrix
 
PairwiseScorer - Class in cc.mallet.cluster.clustering_scorer
For each pair of Instances, if the pair is predicted to be in the same cluster, increment the total by the evaluator's score for merging the two.
PairwiseScorer(NeighborEvaluator) - Constructor for class cc.mallet.cluster.clustering_scorer.PairwiseScorer
 
PAM4L - Class in cc.mallet.topics
Four Level Pachinko Allocation with MLE learning, based on Andrew's Latent Dirichlet Allocation.
PAM4L(int, int) - Constructor for class cc.mallet.topics.PAM4L
 
PAM4L(int, int, double, double) - Constructor for class cc.mallet.topics.PAM4L
 
ParallelTopicModel - Class in cc.mallet.topics
Simple parallel threaded implementation of LDA, following Newman, Asuncion, Smyth and Welling, Distributed Algorithms for Topic Models JMLR (2009), with SparseLDA sampling scheme and data structure from Yao, Mimno and McCallum, Efficient Methods for Topic Model Inference on Streaming Document Collections, KDD (2009).
ParallelTopicModel(int) - Constructor for class cc.mallet.topics.ParallelTopicModel
 
ParallelTopicModel(int, double, double) - Constructor for class cc.mallet.topics.ParallelTopicModel
 
ParallelTopicModel(LabelAlphabet, double, double) - Constructor for class cc.mallet.topics.ParallelTopicModel
 
ParameterizedFactor - Interface in cc.mallet.grmm.types
A factor that supports taking derivatives with respect to its continuous variables.
parameters - Variable in class cc.mallet.classify.MaxEnt
 
parameters - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
parameters - Variable in class cc.mallet.fst.CRF
 
paramIndices - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
ParenGroupIterator - Class in cc.mallet.pipe.iterator
Iterator that takes a Reader, breaks up the input into top-level parenthesized expressions.
ParenGroupIterator(Reader) - Constructor for class cc.mallet.pipe.iterator.ParenGroupIterator
 
ParenGroupIterator(Reader, char, char) - Constructor for class cc.mallet.pipe.iterator.ParenGroupIterator
 
ParentChildGBP - Class in cc.mallet.grmm.inference.gbp
Created: May 27, 2005
ParentChildGBP(RegionGraphGenerator) - Constructor for class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
ParentChildGBP(RegionGraphGenerator, MessageStrategy) - Constructor for class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.Boolean
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.Double
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.DoubleArray
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.File
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.Integer
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.IntegerArray
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.Object
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.ObjectFromBean
 
parseArg(String[], int) - Method in class cc.mallet.util.CommandOption
Called after this CommandOption matches an argument.
parseArg(String) - Method in class cc.mallet.util.CommandOption
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.Set
 
parseArg(String[], int) - Method in class cc.mallet.util.CommandOption.SpacedStrings
 
parseArg(String) - Method in class cc.mallet.util.CommandOption.String
 
parseFile(File) - Static method in class cc.mallet.cluster.tui.Text2Clusterings
 
parseSentence(String) - Method in class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
Parses a string representing a sequence of rows of tokens into an array of arrays of tokens.
parseString(String) - Method in class cc.mallet.types.StringEditVector
 
PartiallyRankedFeatureVector - Class in cc.mallet.types
 
PartiallyRankedFeatureVector(Alphabet, int[], double[]) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
 
PartiallyRankedFeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
 
PartiallyRankedFeatureVector(Alphabet, DenseVector) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
 
PartiallyRankedFeatureVector(Alphabet, AugmentableFeatureVector) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
 
PartiallyRankedFeatureVector(Alphabet, SparseVector) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
 
PartiallyRankedFeatureVector.Factory - Interface in cc.mallet.types
 
PartiallyRankedFeatureVector.PerLabelFactory - Interface in cc.mallet.types
 
PatternMatchIterator - Class in cc.mallet.pipe.iterator
Iterates over matching regular expresions.
PatternMatchIterator(CharSequence, Pattern) - Constructor for class cc.mallet.pipe.iterator.PatternMatchIterator
 
pbinom(int, int, double) - Static method in class cc.mallet.util.Maths
Vastly inefficient O(x) method to compute cdf of B(n,p)
pchisq(double, double) - Method in class cc.mallet.util.StatFunctions
 
peekLineGroup() - Method in class cc.mallet.pipe.iterator.LineGroupIterator
 
PerClassAccuracyEvaluator - Class in cc.mallet.fst
Determines the precision, recall and F1 on a per-class basis.
PerClassAccuracyEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.fst.PerClassAccuracyEvaluator
 
PerClassAccuracyEvaluator(InstanceList, String) - Constructor for class cc.mallet.fst.PerClassAccuracyEvaluator
 
PerClassAccuracyEvaluator(InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.PerClassAccuracyEvaluator
 
perClassFeatureSelection - Variable in class cc.mallet.classify.MaxEnt
 
PerDocumentF1Evaluator - Class in cc.mallet.extract
Created: Oct 8, 2004
PerDocumentF1Evaluator() - Constructor for class cc.mallet.extract.PerDocumentF1Evaluator
 
PerFieldF1Evaluator - Class in cc.mallet.extract
Created: Oct 8, 2004
PerFieldF1Evaluator() - Constructor for class cc.mallet.extract.PerFieldF1Evaluator
 
PerLabelFeatureCounts - Class in cc.mallet.types
 
PerLabelFeatureCounts(InstanceList) - Constructor for class cc.mallet.types.PerLabelFeatureCounts
 
PerLabelFeatureCounts.Factory - Class in cc.mallet.types
 
PerLabelFeatureCounts.Factory() - Constructor for class cc.mallet.types.PerLabelFeatureCounts.Factory
 
PerLabelInfoGain - Class in cc.mallet.types
 
PerLabelInfoGain(InstanceList) - Constructor for class cc.mallet.types.PerLabelInfoGain
 
PerLabelInfoGain.Factory - Class in cc.mallet.types
 
PerLabelInfoGain.Factory() - Constructor for class cc.mallet.types.PerLabelInfoGain.Factory
 
pf(double, double, double) - Static method in class cc.mallet.util.StatFunctions
 
phi(DenseAssignmentIterator) - Method in class cc.mallet.grmm.types.AbstractFactor
 
PI_SQUARED_OVER_SIX - Static variable in class cc.mallet.types.Dirichlet
 
pickVertexToRemove(UndirectedGraph, ArrayList) - Method in class cc.mallet.grmm.inference.JunctionTreeInferencer
 
PiecewiseACRFTrainer - Class in cc.mallet.grmm.learning
Created: Mar 15, 2005
PiecewiseACRFTrainer() - Constructor for class cc.mallet.grmm.learning.PiecewiseACRFTrainer
 
PiecewiseACRFTrainer.Maxable - Class in cc.mallet.grmm.learning
 
PiecewiseACRFTrainer.Maxable(ACRF, InstanceList) - Constructor for class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
pipe(Instance) - Method in class cc.mallet.cluster.tui.Clusterings2Clusterer.ClusteringPipe
 
pipe(Instance) - Method in class cc.mallet.extract.pipe.TokenSequence2Tokenization
 
pipe(Instance) - Method in class cc.mallet.fst.SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence
 
pipe(Instance) - Method in class cc.mallet.fst.tests.TestCRF.TestCRF2String
 
pipe(Instance) - Method in class cc.mallet.fst.tests.TestCRF.TestCRFTokenSequenceRemoveSpaces
 
pipe(Instance) - Method in class cc.mallet.fst.tests.TestMEMM.TestMEMM2String
 
pipe(Instance) - Method in class cc.mallet.fst.tests.TestMEMM.TestMEMMTokenSequenceRemoveSpaces
 
pipe(Instance) - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.grmm.util.LabelsSequence2Assignment
 
pipe(Instance) - Method in class cc.mallet.grmm.util.RememberTokenizationPipe
 
pipe(Instance) - Method in class cc.mallet.grmm.util.SliceLabelsSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.AddClassifierTokenPredictions
Add the token classifier's predictions as features to the instance.
pipe(Instance) - Method in class cc.mallet.pipe.Array2FeatureVector
Convert the data in an Instance from an array to a FeatureVector leaving other fields unchanged.
pipe(Instance) - Method in class cc.mallet.pipe.AugmentableFeatureVectorAddConjunctions
 
pipe(Instance) - Method in class cc.mallet.pipe.AugmentableFeatureVectorLogScale
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequence2CharNGrams
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequence2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequenceArray2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequenceLowercase
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequenceRemoveHTML
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequenceRemoveUUEncodedBlocks
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSequenceReplace
 
pipe(Instance) - Method in class cc.mallet.pipe.CharSubsequence
 
pipe(Instance) - Method in class cc.mallet.pipe.Classification2ConfidencePredictingFeatureVector
 
pipe(Instance) - Method in class cc.mallet.pipe.Csv2Array
Convert the data in an Instance from a CharSequence of comma-separated-values to an array, where each index is the feature name.
pipe(Instance) - Method in class cc.mallet.pipe.Csv2FeatureVector
Convert the data in the given Instance from a CharSequence of sparse feature-value pairs to a FeatureVector
pipe(Instance) - Method in class cc.mallet.pipe.Directory2FileIterator
 
pipe(File) - Method in class cc.mallet.pipe.Directory2FileIterator
 
pipe(URI) - Method in class cc.mallet.pipe.Directory2FileIterator
 
pipe(String) - Method in class cc.mallet.pipe.Directory2FileIterator
 
pipe(Instance) - Method in class cc.mallet.pipe.FeatureCountPipe
 
pipe(Instance) - Method in class cc.mallet.pipe.FeatureDocFreqPipe
 
pipe(Instance) - Method in class cc.mallet.pipe.FeatureSequence2AugmentableFeatureVector
 
pipe(Instance) - Method in class cc.mallet.pipe.FeatureSequence2FeatureVector
 
pipe(Instance) - Method in class cc.mallet.pipe.FeatureSequenceConvolution
construct word co-occurrence features from the original sequence do combinatoric, n choose 2, can be extended to n choose 3 public void convolution() { int fi = -1; int pre = -1; int i,j; int curLen = length; for(i = 0; i < curLen-1; i++) { for(j = i + 1; j < curLen; j++) { pre = features[i]; fi = features[j]; Object preO = dictionary.lookupObject(pre); Object curO = dictionary.lookupObject(fi); Object coO = preO.toString() + "_" + curO.toString(); add(coO); } } }
pipe(Instance) - Method in class cc.mallet.pipe.FeatureValueString2FeatureVector
 
pipe(Instance) - Method in class cc.mallet.pipe.FeatureVectorConjunctions
 
pipe(Instance) - Method in class cc.mallet.pipe.Filename2CharSequence
 
pipe(Reader) - Method in class cc.mallet.pipe.Filename2CharSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.Input2CharSequence
 
pipe(URI) - Method in class cc.mallet.pipe.Input2CharSequence
 
pipe(File) - Method in class cc.mallet.pipe.Input2CharSequence
 
pipe(Reader) - Method in class cc.mallet.pipe.Input2CharSequence
 
pipe(CharSequence) - Method in class cc.mallet.pipe.Input2CharSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.InstanceListTrimFeaturesByCount
 
pipe(Instance) - Method in class cc.mallet.pipe.LineGroupString2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.MakeAmpersandXMLFriendly
 
pipe(Instance) - Method in class cc.mallet.pipe.Noop
 
Pipe - Class in cc.mallet.pipe
The abstract superclass of all Pipes, which transform one data type to another.
Pipe() - Constructor for class cc.mallet.pipe.Pipe
Construct a pipe with no data and target dictionaries
Pipe(Alphabet, Alphabet) - Constructor for class cc.mallet.pipe.Pipe
Construct pipe with data and target dictionaries.
pipe(Instance) - Method in class cc.mallet.pipe.Pipe
Really this should be 'protected', but isn't for historical reasons.
pipe(Instance) - Method in class cc.mallet.pipe.PrintInput
 
pipe(Instance) - Method in class cc.mallet.pipe.PrintInputAndTarget
 
pipe(Instance) - Method in class cc.mallet.pipe.PrintTokenSequenceFeatures
 
pipe(Instance) - Method in class cc.mallet.pipe.SaveDataInSource
 
pipe(Instance) - Method in class cc.mallet.pipe.SelectiveSGML2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.SGML2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.SimpleTaggerSentence2StringTokenization
Takes an instance with data of type String or String[][] and creates an Instance of type StringTokenization.
pipe(Instance) - Method in class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
Takes an instance with data of type String or String[][] and creates an Instance of type TokenSequence.
pipe(Instance) - Method in class cc.mallet.pipe.SimpleTokenizer
 
pipe(Instance) - Method in class cc.mallet.pipe.SourceLocation2TokenSequence
 
pipe(File) - Method in class cc.mallet.pipe.SourceLocation2TokenSequence
 
pipe(BufferedReader) - Method in class cc.mallet.pipe.SourceLocation2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.StringAddNewLineDelimiter
 
pipe(Instance) - Method in class cc.mallet.pipe.StringList2FeatureSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.SvmLight2FeatureVectorAndLabel
 
pipe(Instance) - Method in class cc.mallet.pipe.Target2FeatureSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.Target2Label
 
pipe(Instance) - Method in class cc.mallet.pipe.Target2LabelSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.TargetRememberLastLabel
 
pipe(Instance) - Method in class cc.mallet.pipe.TargetStringToFeatures
 
pipe(Instance) - Method in class cc.mallet.pipe.tests.TestInstancePipe.Array2ArrayIterator
 
pipe(Instance) - Method in class cc.mallet.pipe.tests.TestSGML2TokenSequence.Array2ArrayIterator
 
pipe(Instance) - Method in class cc.mallet.pipe.Token2FeatureVector
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequence2FeatureSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequenceLowercase
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequenceMatchDataAndTarget
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequenceNGrams
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequenceParseFeatureString
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequenceRemoveNonAlpha
 
pipe(Instance) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.CountMatches
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.CountMatchesAlignedWithOffsets
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.CountMatchesMatching
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.FeaturesInWindow
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.FeaturesOfFirstMention
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.LexiconMembership
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.OffsetConjunctions
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.OffsetFeatureConjunction
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.OffsetPropertyConjunctions
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.RegexMatches
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.SequencePrintingPipe
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.Target2BIOFormat
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TokenFirstPosition
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TokenText
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TokenTextCharNGrams
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TokenTextCharPrefix
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TokenTextCharSuffix
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TokenTextNGrams
 
pipe(Instance) - Method in class cc.mallet.pipe.tsf.TrieLexiconMembership
 
pipe(Instance) - Method in class cc.mallet.share.casutton.ner.ConllNer2003Sentence2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.share.mccallum.ner.ConllNer2003Sentence2TokenSequence
 
pipe(Instance) - Method in class cc.mallet.share.mccallum.ner.TokenSequenceDocHeader
 
pipe(Instance) - Method in class cc.mallet.share.upenn.ner.FeatureWindow
 
pipe(Instance) - Method in class cc.mallet.share.upenn.ner.LengthBins
 
pipe(Instance) - Method in class cc.mallet.share.upenn.ner.ListMember
 
pipe(Instance) - Method in class cc.mallet.share.upenn.ner.LongRegexMatches
 
pipe(Instance) - Method in class cc.mallet.share.weili.ner.enron.EnronMessage2TokenSequence
 
PipedInstanceWithConfidence - Class in cc.mallet.fst.confidence
Helper class to store confidence of an Instance.
PipedInstanceWithConfidence(Instance, double, boolean) - Constructor for class cc.mallet.fst.confidence.PipedInstanceWithConfidence
 
PipedIterator - Class in cc.mallet.grmm.util
Deprecated. 
PipedIterator(Iterator<Instance>, Pipe) - Constructor for class cc.mallet.grmm.util.PipedIterator
Deprecated.  
PipeException - Exception in cc.mallet.pipe
 
PipeException() - Constructor for exception cc.mallet.pipe.PipeException
 
PipeExtendedIterator - Class in cc.mallet.pipe.iterator
Deprecated. 
PipeExtendedIterator(Iterator<Instance>, Pipe) - Constructor for class cc.mallet.pipe.iterator.PipeExtendedIterator
Deprecated. Creates a new PipeExtendedIterator instance.
pipeInput(Object) - Method in class cc.mallet.extract.CRFExtractor
 
PipeInputIterator - Class in cc.mallet.pipe.iterator
Deprecated. 
PipeInputIterator() - Constructor for class cc.mallet.pipe.iterator.PipeInputIterator
Deprecated.  
pipeInstances(Iterator<Instance>) - Method in class cc.mallet.extract.CRFExtractor
 
pipes() - Method in class cc.mallet.pipe.SerialPipes
Allows access to the underlying collection of Pipes.
PipeUtils - Class in cc.mallet.pipe
Created: Aug 28, 2005
PlainLogFormatter - Class in cc.mallet.util
 
PlainLogFormatter() - Constructor for class cc.mallet.util.PlainLogFormatter
 
plusEquals(CRF.Factors, double) - Method in class cc.mallet.fst.CRF.Factors
 
plusEquals(CRF.Factors, double, boolean) - Method in class cc.mallet.fst.CRF.Factors
 
plusEquals(double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Adds a constant to all values in the table.
plusEquals(Factor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
plusEquals(AugmentableFeatureVector, double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
plusEquals(SparseVector, double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
plusEquals(SparseVector) - Method in class cc.mallet.types.AugmentableFeatureVector
 
plusEquals(double) - Method in class cc.mallet.types.DenseMatrix
 
plusEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
plusEquals(ConstantMatrix, double) - Method in class cc.mallet.types.DenseMatrix
 
plusEquals(double[], double[]) - Static method in class cc.mallet.types.DenseMatrix
 
plusEquals(double[], double[], double) - Static method in class cc.mallet.types.DenseMatrix
 
plusEquals(LogNumber) - Method in class cc.mallet.types.LogNumber
 
plusEquals(ConstantMatrix) - Method in interface cc.mallet.types.Matrix
 
plusEquals(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
 
plusEquals(int, int, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
plusEquals(double[], double) - Static method in class cc.mallet.types.MatrixOps
Adds a scalar to every element in an array.
plusEquals(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
 
plusEquals(double[], double[], double) - Static method in class cc.mallet.types.MatrixOps
 
plusEquals(double[][], double[][], double) - Static method in class cc.mallet.types.MatrixOps
 
plusEquals(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
 
plusEquals(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
 
plusEqualsAtLocation(int, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
plusEqualsAtLocation(int, double) - Method in class cc.mallet.grmm.types.LogTableFactor
 
plusEqualsAtLocation(int, double) - Method in class cc.mallet.grmm.types.TableFactor
 
plusEqualsGaussianPriorGradient(CRF.Factors, double) - Method in class cc.mallet.fst.CRF.Factors
 
plusEqualsHyperbolicPriorGradient(CRF.Factors, double, double) - Method in class cc.mallet.fst.CRF.Factors
 
plusEqualsInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
plusEqualsInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.LogTableFactor
Does the conceptual equivalent of this += pot.
plusEqualsInternal(DiscreteFactor) - Method in class cc.mallet.grmm.types.TableFactor
 
plusEqualsSparse(SparseVector, double) - Method in class cc.mallet.types.HashedSparseVector
 
plusEqualsSparse(SparseVector) - Method in class cc.mallet.types.HashedSparseVector
 
plusEqualsSparse(SparseVector, double) - Method in class cc.mallet.types.IndexedSparseVector
 
plusEqualsSparse(SparseVector) - Method in class cc.mallet.types.IndexedSparseVector
 
plusEqualsSparse(SparseVector) - Method in class cc.mallet.types.SparseVector
For each index i that is present in this vector, set this[i] += v[i].
plusEqualsSparse(SparseVector, double) - Method in class cc.mallet.types.SparseVector
For each index i that is present in this vector, set this[i] += factor * v[i].
pnorm(double, boolean) - Static method in class cc.mallet.util.StatFunctions
 
pnorm(double, boolean, double, double) - Static method in class cc.mallet.util.StatFunctions
 
pointBiserialCorrelation() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
Correlation when one variable (X) is binary: r = (bar(x1) - bar(x0)) * sqrt(p(1-p)) / sx , where bar(x1) = mean of X when Y is 1 bar(x0) = mean of X when Y is 0 sx = standard deviation of X p = proportion of values where Y=1
PolylingualTopicModel - Class in cc.mallet.topics
Latent Dirichlet Allocation for loosely parallel corpora in arbitrary languages
PolylingualTopicModel(int) - Constructor for class cc.mallet.topics.PolylingualTopicModel
 
PolylingualTopicModel(int, double) - Constructor for class cc.mallet.topics.PolylingualTopicModel
 
PolylingualTopicModel(int, double, Randoms) - Constructor for class cc.mallet.topics.PolylingualTopicModel
 
PolylingualTopicModel(LabelAlphabet, double, Randoms) - Constructor for class cc.mallet.topics.PolylingualTopicModel
 
PolylingualTopicModel.TopicAssignment - Class in cc.mallet.topics
 
PolylingualTopicModel.TopicAssignment(Instance[], LabelSequence[]) - Constructor for class cc.mallet.topics.PolylingualTopicModel.TopicAssignment
 
positiveCount - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
positiveProportion - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
positiveTarget - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
postParsing(CommandOption.List) - Method in class cc.mallet.util.CommandOption
To be overridden by subclasses; "list" is the the CommandOption.List that called this option
PottsTableFactor - Class in cc.mallet.grmm.types
A factor over a continuous variable alpha and discrete variables x such that phi(x|alpha) is Potts.
PottsTableFactor(VarSet, Variable) - Constructor for class cc.mallet.grmm.types.PottsTableFactor
 
PottsTableFactor(Variable, Variable, Variable) - Constructor for class cc.mallet.grmm.types.PottsTableFactor
 
pow(int) - Static method in class cc.mallet.grmm.util.Flops
 
PRAuxClassifier - Class in cc.mallet.classify
Auxiliary model (q) for E-step/I-projection in PR training.
PRAuxClassifier(Pipe, ArrayList<MaxEntPRConstraint>) - Constructor for class cc.mallet.classify.PRAuxClassifier
 
PRAuxClassifierOptimizable - Class in cc.mallet.classify
Optimizable for training auxiliary model (q) for E-step/I-projection in PR training.
PRAuxClassifierOptimizable(InstanceList, double[][], PRAuxClassifier) - Constructor for class cc.mallet.classify.PRAuxClassifierOptimizable
 
PRAuxiliaryModel - Class in cc.mallet.fst.semi_supervised.pr
Auxiliar model (q) for E-step/I-projection in Posterior Regularization (PR).
PRAuxiliaryModel(CRF, ArrayList<PRConstraint>) - Constructor for class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
PRConstraint - Interface in cc.mallet.fst.semi_supervised.pr.constraints
Interface for PR constraint that considers either one or two states.
preamble(ClassifierTrainer) - Method in class cc.mallet.classify.ClassifierEvaluator
 
preamble(TransducerTrainer) - Method in class cc.mallet.fst.CRFWriter
 
preamble(TransducerTrainer) - Method in class cc.mallet.fst.TransducerEvaluator
 
preamble(TransducerTrainer) - Method in class cc.mallet.fst.ViterbiWriter
 
preceedingPipeDataAlphabetNotification(Alphabet) - Method in class cc.mallet.pipe.Pipe
 
preceedingPipeTargetAlphabetNotification(Alphabet) - Method in class cc.mallet.pipe.Pipe
 
precision - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
precondition(TransducerTrainer) - Method in class cc.mallet.fst.TransducerEvaluator
If this returns false, then the body of the evaluate(TransducerTrainer) method will not run.
precondition(Instance) - Method in class cc.mallet.pipe.Pipe
Each instance processed is tested by this method.
predicate(Pipe) - Method in class cc.mallet.pipe.SerialPipes.Predicate
 
predict(InstanceList) - Method in class cc.mallet.fst.CRF
Deprecated. 
preProcess(InstanceList) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
preProcess(InstanceList) - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
 
preProcess(FeatureVector) - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
Gives the constraint the option to do some caching using only the FeatureVector.
preProcess(InstanceList) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
preProcess(InstanceList) - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
preProcess(InstanceList) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
 
preProcess(FeatureVector) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
Gives the constraint the option to do some caching using only the FeatureVector.
preProcess(InstanceList) - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
 
preProcess(FeatureVector) - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
Gives the constraint the option to do some caching using only the FeatureVector.
preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
preProcess(InstanceList) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
 
preProcess(FeatureVector) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
Gives the constraint the option to do some caching using only the FeatureVector.
preProcess(int, int, Sequence) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
prettyOutputString() - Method in class cc.mallet.grmm.types.AbstractFactor
 
prettyOutputString() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
prettyOutputString() - Method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
prettyOutputString() - Method in class cc.mallet.grmm.types.BoltzmannUnaryFactor
 
prettyOutputString() - Method in class cc.mallet.grmm.types.CPT
 
prettyOutputString() - Method in interface cc.mallet.grmm.types.Factor
 
prettyOutputString() - Method in class cc.mallet.grmm.types.FactorGraph
 
print() - Method in class cc.mallet.classify.C45.Node
Prints the tree rooted at this node
print(String) - Method in class cc.mallet.classify.C45.Node
 
print() - Method in class cc.mallet.classify.C45
Prints the tree
print() - Method in class cc.mallet.classify.Classification
 
print(PrintWriter) - Method in class cc.mallet.classify.Classification
 
print() - Method in class cc.mallet.classify.Classifier
Outputs human-readable description of classifier (e.g., list of weights, decision tree) to System.out
print(PrintWriter) - Method in class cc.mallet.classify.Classifier
 
print() - Method in class cc.mallet.classify.DecisionTree.Node
 
print() - Method in class cc.mallet.classify.MaxEnt
 
print(PrintStream) - Method in class cc.mallet.classify.MaxEnt
 
print() - Method in class cc.mallet.classify.MCMaxEnt
 
print() - Method in class cc.mallet.classify.RankMaxEnt
 
print(PrintWriter) - Method in class cc.mallet.extract.Extraction
 
print() - Method in class cc.mallet.fst.CRF
 
print(PrintWriter) - Method in class cc.mallet.fst.CRF
 
print() - Method in class cc.mallet.fst.CRF.State
 
print() - Method in class cc.mallet.fst.HMM
 
print() - Method in class cc.mallet.fst.HMM.State
 
print() - Method in class cc.mallet.fst.Transducer
 
print(OutputStream) - Method in class cc.mallet.grmm.learning.ACRF
 
print(String, PrintWriter) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
print() - Method in class cc.mallet.types.AugmentableFeatureVector
 
print() - Method in interface cc.mallet.types.ConstantMatrix
 
print() - Method in class cc.mallet.types.DenseMatrix
 
print(double[]) - Static method in class cc.mallet.types.DenseVector
 
print(int[]) - Static method in class cc.mallet.types.DenseVector
 
print() - Method in class cc.mallet.types.Dirichlet
 
print() - Method in class cc.mallet.types.Matrix2
Deprecated.  
print(double[]) - Static method in class cc.mallet.types.MatrixOps
Prints a double array to standard output
print(PrintWriter, double[]) - Static method in class cc.mallet.types.MatrixOps
Prints a double array to the given PrintWriter.
print(double[][]) - Static method in class cc.mallet.types.MatrixOps
 
print(int[][]) - Static method in class cc.mallet.types.MatrixOps
 
print(int[]) - Static method in class cc.mallet.types.MatrixOps
 
print() - Method in class cc.mallet.types.Multinomial.Estimator
 
print() - Method in class cc.mallet.types.SparseMatrixn
 
print() - Method in class cc.mallet.types.SparseVector
 
print(double[]) - Static method in class cc.mallet.util.ArrayUtils
 
print(int[]) - Static method in class cc.mallet.util.ArrayUtils
 
print(Collection) - Static method in class cc.mallet.util.CollectionUtils
 
print(Collection, String) - Static method in class cc.mallet.util.CollectionUtils
 
print() - Method in class cc.mallet.util.PrintUtilities
 
print(Graphics, PageFormat, int) - Method in class cc.mallet.util.PrintUtilities
 
print() - Method in class cc.mallet.util.PropertyList
 
printAsDot(PrintWriter) - Method in class cc.mallet.grmm.types.FactorGraph
 
printAsDot(PrintWriter, Assignment) - Method in class cc.mallet.grmm.types.FactorGraph
 
printAverageScores() - Method in class cc.mallet.classify.ConfidencePredictingClassifier
 
printByRank(OutputStream) - Method in class cc.mallet.types.RankedFeatureVector
Prints a human-readable version of this vector, with features listed in ranked order.
printByRank(PrintWriter) - Method in class cc.mallet.types.RankedFeatureVector
Prints a human-readable version of this vector, with features listed in ranked order.
printComponent(Component) - Static method in class cc.mallet.util.PrintUtilities
 
printConfidenceAccuracy() - Method in class cc.mallet.classify.ConfidencePredictingClassifier
 
printCounts() - Method in class cc.mallet.util.FeatureCounter
 
printDocumentTopics(File) - Method in class cc.mallet.topics.LDA
Deprecated.  
printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.LDA
Deprecated.  
printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.LDA
Deprecated.  
printDocumentTopics(File) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printDocumentTopics(ArrayList<LDAHyper.Topication>, File) - Method in class cc.mallet.topics.LDAStream
 
printDocumentTopics(ArrayList<LDAHyper.Topication>, PrintWriter) - Method in class cc.mallet.topics.LDAStream
 
printDocumentTopics(ArrayList<LDAHyper.Topication>, PrintWriter, double, int) - Method in class cc.mallet.topics.LDAStream
 
printDocumentTopics(File) - Method in class cc.mallet.topics.PAM4L
 
printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.PAM4L
 
printDocumentTopics(File) - Method in class cc.mallet.topics.ParallelTopicModel
 
printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.ParallelTopicModel
 
printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.ParallelTopicModel
 
printDocumentTopics(File) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printDocumentTopics(File, double, int) - Method in class cc.mallet.topics.SimpleLDA
 
printDocumentTopics(File) - Method in class cc.mallet.topics.TopicalNGrams
 
printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.TopicalNGrams
 
printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.TopicalNGrams
 
printExtremeFeatures(PrintWriter, int) - Method in class cc.mallet.classify.MaxEnt
 
printGradient - Variable in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
printGradient - Static variable in class cc.mallet.grmm.learning.PwplACRFTrainer
 
PrintInput - Class in cc.mallet.pipe
Print the data field of each instance.
PrintInput(String) - Constructor for class cc.mallet.pipe.PrintInput
 
PrintInput() - Constructor for class cc.mallet.pipe.PrintInput
 
PrintInput(PrintStream) - Constructor for class cc.mallet.pipe.PrintInput
 
PrintInput(String, PrintStream) - Constructor for class cc.mallet.pipe.PrintInput
 
PrintInputAndTarget - Class in cc.mallet.pipe
Print the data and target fields of each instance.
PrintInputAndTarget(String) - Constructor for class cc.mallet.pipe.PrintInputAndTarget
 
PrintInputAndTarget() - Constructor for class cc.mallet.pipe.PrintInputAndTarget
 
printInRows(double[]) - Static method in class cc.mallet.types.MatrixOps
 
printInstanceLists() - Method in class cc.mallet.fst.MEMMTrainer
 
printLogLikelihood - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
printLogLikelihood - Variable in class cc.mallet.topics.NPTopicModel
 
printLogLikelihood - Variable in class cc.mallet.topics.ParallelTopicModel
 
printLogLikelihood - Variable in class cc.mallet.topics.PolylingualTopicModel
 
printLogLikelihood - Variable in class cc.mallet.topics.SimpleLDA
 
printLowerK(PrintWriter, int) - Method in class cc.mallet.types.RankedFeatureVector
 
printNode(HierarchicalLDA.NCRPNode, int) - Method in class cc.mallet.topics.HierarchicalLDA
 
printNodes() - Method in class cc.mallet.topics.HierarchicalLDA
 
printOptionValues(Class) - Static method in class cc.mallet.util.CommandOption
 
printParameters() - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
print weights
printParameters() - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
print weights
printParameters() - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
print weights
printPhi(File, double) - Method in class cc.mallet.topics.LDAStream
 
printRank(PrintWriter) - Method in class cc.mallet.classify.Classification
 
printRank(PrintWriter) - Method in class cc.mallet.classify.MaxEnt
 
printSizes() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
printState() - Method in class cc.mallet.topics.HierarchicalLDA
Writes the current sampling state to the file specified in stateFile.
printState(PrintWriter) - Method in class cc.mallet.topics.HierarchicalLDA
Write a text file describing the current sampling state.
printState(File) - Method in class cc.mallet.topics.HierarchicalPAM
 
printState(PrintWriter) - Method in class cc.mallet.topics.HierarchicalPAM
 
printState(File) - Method in class cc.mallet.topics.LDA
Deprecated.  
printState(PrintWriter) - Method in class cc.mallet.topics.LDA
Deprecated.  
printState(File) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printState(PrintStream) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printState(ArrayList<LDAHyper.Topication>, File) - Method in class cc.mallet.topics.LDAStream
 
printState(ArrayList<LDAHyper.Topication>, PrintStream) - Method in class cc.mallet.topics.LDAStream
 
printState(File) - Method in class cc.mallet.topics.NPTopicModel
 
printState(PrintStream) - Method in class cc.mallet.topics.NPTopicModel
 
printState(File) - Method in class cc.mallet.topics.PAM4L
 
printState(PrintWriter) - Method in class cc.mallet.topics.PAM4L
 
printState(File) - Method in class cc.mallet.topics.ParallelTopicModel
 
printState(PrintStream) - Method in class cc.mallet.topics.ParallelTopicModel
 
printState(File) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printState(PrintStream) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printState(File) - Method in class cc.mallet.topics.SimpleLDA
 
printState(PrintStream) - Method in class cc.mallet.topics.SimpleLDA
 
printState(File) - Method in class cc.mallet.topics.TopicalNGrams
 
printState(PrintWriter) - Method in class cc.mallet.topics.TopicalNGrams
 
printStateTransitions() - Method in class cc.mallet.topics.MultinomialHMM
 
printTheta(ArrayList<LDAHyper.Topication>, File, double, int) - Method in class cc.mallet.topics.LDAStream
 
PrintTokenSequenceFeatures - Class in cc.mallet.pipe
Print properties of the token sequence in the data field and the corresponding value of any token in a token sequence or feature in a featur sequence in the target field.
PrintTokenSequenceFeatures(String) - Constructor for class cc.mallet.pipe.PrintTokenSequenceFeatures
 
PrintTokenSequenceFeatures() - Constructor for class cc.mallet.pipe.PrintTokenSequenceFeatures
 
printTopicWordWeights(File) - Method in class cc.mallet.topics.ParallelTopicModel
 
printTopicWordWeights(PrintWriter) - Method in class cc.mallet.topics.ParallelTopicModel
Print an unnormalized weight for every word in every topic.
printTopK(PrintWriter, int) - Method in class cc.mallet.types.RankedFeatureVector
 
printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.DMRTopicModel
 
printTopWords(int, boolean) - Method in class cc.mallet.topics.HierarchicalPAM
 
printTopWords(int, boolean) - Method in class cc.mallet.topics.LDA
Deprecated.  
printTopWords(File, int, boolean) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
printTopWords(int, boolean) - Method in class cc.mallet.topics.PAM4L
 
printTopWords(File, int, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
 
printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
 
printTopWords(File, int, boolean) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.PolylingualTopicModel
 
printTopWords(int, boolean) - Method in class cc.mallet.topics.TopicalNGrams
 
printTypeTopicCounts(File) - Method in class cc.mallet.topics.ParallelTopicModel
Write the internal representation of type-topic counts (count/topic pairs in descending order by count) to a file.
printUsage(boolean) - Method in class cc.mallet.util.CommandOption.List
 
PrintUtilities - Class in cc.mallet.util
A simple utility class that lets you very simply print an arbitrary component.
PrintUtilities(Component) - Constructor for class cc.mallet.util.PrintUtilities
 
printValues() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
printWordCounts() - Method in class cc.mallet.topics.PAM4L
 
printWords(int) - Method in class cc.mallet.classify.NaiveBayes
 
PriorityQueue - Interface in cc.mallet.util.search
Created by IntelliJ IDEA.
probability(int) - Method in class cc.mallet.types.Multinomial.Logged
 
probability(int) - Method in class cc.mallet.types.Multinomial
 
probability(Object) - Method in class cc.mallet.types.Multinomial
 
probs - Variable in class cc.mallet.grmm.types.AbstractTableFactor
 
process(ACRF.UnrolledGraph, Instance) - Method in interface cc.mallet.grmm.learning.ACRF.GraphPostProcessor
 
process(String[]) - Method in class cc.mallet.util.CommandOption.List
Parse and process command-line options in args.
process(String[], int) - Method in class cc.mallet.util.CommandOption
Give this CommandOption the opportunity to process the index'th argument in args.
process(Class, String[]) - Static method in class cc.mallet.util.CommandOption
 
processOptions(String[]) - Method in class cc.mallet.util.CommandOption.List
 
ProgressMessageLogFormatter - Class in cc.mallet.util
Format ProgressMessages destined for screen.
ProgressMessageLogFormatter() - Constructor for class cc.mallet.util.ProgressMessageLogFormatter
 
ProgressMessageLogRecord - Class in cc.mallet.util
A log message that is to be written in place (no newline) if the message is headed for the user's terminal.
ProgressMessageLogRecord(LogRecord) - Constructor for class cc.mallet.util.ProgressMessageLogRecord
 
propagateTopicWeight(TObjectDoubleHashMap<HierarchicalLDA.NCRPNode>, HierarchicalLDA.NCRPNode, double) - Method in class cc.mallet.topics.HierarchicalLDA
Propagate a topic weight to a node and all its children.
PropertyHolder - Interface in cc.mallet.types
Author: saunders Created Nov 15, 2005 Copyright (C) Univ.
PropertyList - Class in cc.mallet.util
 
PropertyList() - Constructor for class cc.mallet.util.PropertyList
 
PropertyList(String, PropertyList) - Constructor for class cc.mallet.util.PropertyList
 
PropertyList.Iterator - Class in cc.mallet.util
 
PropertyList.Iterator(PropertyList) - Constructor for class cc.mallet.util.PropertyList.Iterator
 
PropertyList.NumericIterator - Class in cc.mallet.util
 
PropertyList.NumericIterator(PropertyList) - Constructor for class cc.mallet.util.PropertyList.NumericIterator
 
PropertyList.ObjectIterator - Class in cc.mallet.util
 
PropertyList.ObjectIterator(PropertyList) - Constructor for class cc.mallet.util.PropertyList.ObjectIterator
 
prune() - Method in class cc.mallet.classify.C45
Prune the tree using minimum description length
prune(double[], Alphabet, int) - Method in class cc.mallet.types.FeatureSequence
Remove features from the sequence that occur fewer than cutoff times in the corpus, as indicated by the provided counts.
PseudolikelihoodACRFTrainer - Class in cc.mallet.grmm.learning
Created: Mar 15, 2005
PseudolikelihoodACRFTrainer() - Constructor for class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer
 
PseudolikelihoodACRFTrainer.Maxable - Class in cc.mallet.grmm.learning
 
PseudolikelihoodACRFTrainer.Maxable(ACRF, InstanceList) - Constructor for class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
pt(double, double) - Static method in class cc.mallet.util.StatFunctions
 
PunctuationIgnoringComparator - Class in cc.mallet.extract
Created: Nov 23, 2004
PunctuationIgnoringComparator() - Constructor for class cc.mallet.extract.PunctuationIgnoringComparator
 
put(Factor, Variable, Factor) - Method in class cc.mallet.grmm.inference.MessageArray
 
put(Variable, Factor, Factor) - Method in class cc.mallet.grmm.inference.MessageArray
 
put(int, int, Factor) - Method in class cc.mallet.grmm.inference.MessageArray
 
put(int, int, Object) - Method in class cc.mallet.grmm.util.MIntInt2ObjectMap
 
put(Object, Object) - Method in class cc.mallet.grmm.util.THashMultiMap
Adds value to the list of things mapped to by key.
put(int, int) - Method in class cc.mallet.types.FeatureCounter
 
put(Object, int) - Method in class cc.mallet.types.FeatureCounter
 
PwplACRFTrainer - Class in cc.mallet.grmm.learning
Implementation of piecewise PL (Sutton and McCallum, 2007) NB The wrong-wrong options are for an extension that we tried that never quite worked Created: Mar 15, 2005
PwplACRFTrainer() - Constructor for class cc.mallet.grmm.learning.PwplACRFTrainer
 
PwplACRFTrainer.Maxable - Class in cc.mallet.grmm.learning
 
PwplACRFTrainer.Maxable(ACRF, InstanceList) - Constructor for class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 

Q

QBCSequenceConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence by the "disagreement" among a committee of CRFs.
QBCSequenceConfidenceEstimator(Transducer, Transducer[]) - Constructor for class cc.mallet.fst.confidence.QBCSequenceConfidenceEstimator
 
qnorm(double, boolean) - Static method in class cc.mallet.util.StatFunctions
 
qnorm(double, boolean, double, double) - Static method in class cc.mallet.util.StatFunctions
 
qt(double, double, boolean) - Static method in class cc.mallet.util.StatFunctions
 
quant(double) - Method in class cc.mallet.util.Univariate
 
query(FactorGraph, Assignment) - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
query(FactorGraph, Assignment) - Method in interface cc.mallet.grmm.inference.Inferencer
Computes the marginal probability of a given assignment to a small number of model variables.
query(DirectedModel, Variable) - Method in class cc.mallet.grmm.inference.TRP
 
QueueElement - Interface in cc.mallet.util.search
Created by IntelliJ IDEA.

R

rainbow(int, float, float) - Static method in class cc.mallet.util.ColorUtils
Returns a list of hex color names of length n.
random - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
random - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
random - Variable in class cc.mallet.topics.MarginalProbEstimator
 
random - Variable in class cc.mallet.topics.NPTopicModel
 
random - Variable in class cc.mallet.topics.PolylingualTopicModel
 
random - Variable in class cc.mallet.topics.SimpleLDA
 
random - Variable in class cc.mallet.topics.TopicInferencer
 
random - Variable in class cc.mallet.topics.WorkerRunnable
 
randomAttractiveGrid(int, double, Random) - Static method in class cc.mallet.grmm.inference.RandomGraphs
Constructs a square grid of a given size with random attractive potentials.
RandomConfidenceEstimator - Class in cc.mallet.fst.confidence
Randomly assigns values between 0-1 to the confidence of a Segment.
RandomConfidenceEstimator(int, Transducer) - Constructor for class cc.mallet.fst.confidence.RandomConfidenceEstimator
 
RandomConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.RandomConfidenceEstimator
 
randomDirichlet(Randoms, double) - Method in class cc.mallet.types.Dirichlet
 
RandomEvaluator - Class in cc.mallet.cluster.neighbor_evaluator
Randomly scores Neighbors.
RandomEvaluator(Randoms) - Constructor for class cc.mallet.cluster.neighbor_evaluator.RandomEvaluator
 
randomFeatureSequence(Randoms, int) - Method in class cc.mallet.types.Dirichlet
 
randomFeatureSequence(Randoms, int) - Method in class cc.mallet.types.Multinomial
 
randomFeatureVector(Randoms, int) - Method in class cc.mallet.types.Dirichlet
 
randomFeatureVector(Randoms, int) - Method in class cc.mallet.types.Multinomial
 
RandomFeatureVectorIterator - Class in cc.mallet.pipe.iterator
 
RandomFeatureVectorIterator(Randoms, Dirichlet, double, double, double, double, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
RandomFeatureVectorIterator(Randoms, Alphabet, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
RandomFeatureVectorIterator(Randoms, int, int) - Constructor for class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
randomFrustratedGrid(int, double, Random) - Static method in class cc.mallet.grmm.inference.RandomGraphs
Constructs a square grid of a given size with random frustrated potentials.
randomFrustratedTree(int, int, double, Random) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
RandomGraphs - Class in cc.mallet.grmm.inference
Utility class for generating many useful kinds of random graphical models.
RandomGraphs() - Constructor for class cc.mallet.grmm.inference.RandomGraphs
 
RandomGraphs.FactorGenerator - Interface in cc.mallet.grmm.inference
 
RandomGraphs.UniformFactorGenerator - Class in cc.mallet.grmm.inference
 
RandomGraphs.UniformFactorGenerator() - Constructor for class cc.mallet.grmm.inference.RandomGraphs.UniformFactorGenerator
 
randomIndex(Randoms) - Method in class cc.mallet.types.Multinomial
 
randomMultinomial(Randoms) - Method in class cc.mallet.types.Dirichlet
 
randomNodePotential(Random, Variable) - Static method in class cc.mallet.grmm.inference.RandomGraphs
 
randomObject(Randoms) - Method in class cc.mallet.types.Multinomial
 
randomRawMultinomial(Randoms) - Method in class cc.mallet.types.Dirichlet
 
randomRepulsiveGrid(int, double, Random) - Static method in class cc.mallet.grmm.inference.RandomGraphs
Constructs a square grid of a given size with random repulsive potentials.
Randoms - Class in cc.mallet.util
 
Randoms(int) - Constructor for class cc.mallet.util.Randoms
 
Randoms() - Constructor for class cc.mallet.util.Randoms
 
randomSeed - Variable in class cc.mallet.topics.ParallelTopicModel
 
RandomSequenceConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence randomly.
RandomSequenceConfidenceEstimator(int, Transducer) - Constructor for class cc.mallet.fst.confidence.RandomSequenceConfidenceEstimator
 
RandomSequenceConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.RandomSequenceConfidenceEstimator
 
randomTokenSequence(Randoms, int) - Method in class cc.mallet.types.Dirichlet
 
RandomTokenSequenceIterator - Class in cc.mallet.pipe.iterator
 
RandomTokenSequenceIterator(Randoms, Dirichlet, double, double, double, double, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
RandomTokenSequenceIterator(Randoms, Alphabet, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
RandomTokenSequenceIterator(Randoms, int, int) - Constructor for class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
randomVector(Randoms) - Method in class cc.mallet.types.Dirichlet
 
randomVector(int, Random) - Static method in class cc.mallet.types.MatrixOps
 
RankedFeatureVector - Class in cc.mallet.types
 
RankedFeatureVector(Alphabet, int[], double[]) - Constructor for class cc.mallet.types.RankedFeatureVector
 
RankedFeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.RankedFeatureVector
 
RankedFeatureVector(Alphabet, double[], int, int) - Constructor for class cc.mallet.types.RankedFeatureVector
 
RankedFeatureVector(Alphabet, DenseVector) - Constructor for class cc.mallet.types.RankedFeatureVector
 
RankedFeatureVector(Alphabet, AugmentableFeatureVector) - Constructor for class cc.mallet.types.RankedFeatureVector
 
RankedFeatureVector(Alphabet, SparseVector) - Constructor for class cc.mallet.types.RankedFeatureVector
 
RankedFeatureVector.Factory - Interface in cc.mallet.types
 
RankedFeatureVector.PerLabelFactory - Interface in cc.mallet.types
 
RankingNeighborEvaluator - Class in cc.mallet.cluster.neighbor_evaluator
Uses a Classifier that scores an array of Neighbors.
RankingNeighborEvaluator(Classifier) - Constructor for class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
 
rankInstancesByConfidence(InstanceList, Object[], Object[]) - Method in class cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator
Ranks all Sequencess in this InstanceList by confidence estimate.
RankMaxEnt - Class in cc.mallet.classify
Rank Maximum Entropy classifier.
RankMaxEnt(Pipe, double[], FeatureSelection, FeatureSelection[]) - Constructor for class cc.mallet.classify.RankMaxEnt
 
RankMaxEnt(Pipe, double[], FeatureSelection) - Constructor for class cc.mallet.classify.RankMaxEnt
 
RankMaxEnt(Pipe, double[], FeatureSelection[]) - Constructor for class cc.mallet.classify.RankMaxEnt
 
RankMaxEnt(Pipe, double[]) - Constructor for class cc.mallet.classify.RankMaxEnt
 
RankMaxEntTrainer - Class in cc.mallet.classify
The trainer for a RankMaxEnt classifier.
RankMaxEntTrainer() - Constructor for class cc.mallet.classify.RankMaxEntTrainer
 
RankMaxEntTrainer(double) - Constructor for class cc.mallet.classify.RankMaxEntTrainer
Constructs a trainer with a parameter to avoid overtraining.
rankPipedInstancesByConfidence(InstanceList, Object[], Object[]) - Method in class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
 
rankSegmentsByConfidence(InstanceList, Object[], Object[]) - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
Ranks all Segments in this InstanceList by confidence estimate.
rankSegmentsByConfidence(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
ranks the segments in one Instance
rawValue(int) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
rawValue(Assignment) - Method in class cc.mallet.grmm.types.LogTableFactor
 
rawValue(int) - Method in class cc.mallet.grmm.types.LogTableFactor
 
rawValue(Assignment) - Method in class cc.mallet.grmm.types.TableFactor
 
rawValue(int) - Method in class cc.mallet.grmm.types.TableFactor
 
read(File) - Static method in class cc.mallet.topics.LDAHyper
Deprecated.  
read(File) - Static method in class cc.mallet.topics.MarginalProbEstimator
 
read(File) - Static method in class cc.mallet.topics.ParallelTopicModel
 
read(File) - Static method in class cc.mallet.topics.PolylingualTopicModel
 
read(File) - Static method in class cc.mallet.topics.TopicInferencer
 
readClusterings(String) - Static method in class cc.mallet.cluster.tui.Clusterings2Clusterer
 
readConstraintsFromFile(String, InstanceList) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Reads feature constraints from a file, whether they are stored using Strings or indices.
readConstraintsFromFileIndex(String, InstanceList) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Reads feature constraints stored using strings from a file.
readConstraintsFromFileString(String, InstanceList) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Reads feature constraints stored using strings from a file.
readFeaturesAndLabelsFromFile(File, Alphabet, Alphabet) - Static method in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
readFile(File) - Static method in class cc.mallet.util.FileUtils
Reads every line from a given text file.
readFromFile(File) - Method in class cc.mallet.util.CommandOption.List
Load configuration information from a file.
readFromFiles(FactorGraph, List) - Static method in class cc.mallet.grmm.inference.TRP.TreeListFactory
 
readFromMatrix(VarSet, Reader) - Static method in class cc.mallet.grmm.util.ModelReader
 
readGzippedObject(File) - Static method in class cc.mallet.util.FileUtils
Reads a serialized object from a file that has been compressed using gzip.
readModel(BufferedReader) - Method in class cc.mallet.grmm.util.ModelReader
 
readObject(File) - Static method in class cc.mallet.util.FileUtils
Reads a Serialized object, which may or may not be zipped.
readRangeConstraintsFromFile(String, InstanceList) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Reads range constraints stored using strings from a file.
readResolve() - Method in class cc.mallet.pipe.Pipe
This gets called after readObject; it lets the object decide whether to return itself or return a previously read in version.
readResolve() - Method in class cc.mallet.types.Alphabet
This gets called after readObject; it lets the object decide whether to return itself or return a previously read in version.
readUnzippedObject(File) - Static method in class cc.mallet.util.FileUtils
Reads a serialized object from a file.
readWeightsFromText(Reader) - Method in class cc.mallet.grmm.learning.ACRF
 
recall - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
recenter() - Method in class cc.mallet.grmm.types.AbstractTableFactor
Multiplies this factor by the constant 1/max().
recenter() - Method in class cc.mallet.grmm.types.LogTableFactor
 
recenter() - Method in class cc.mallet.grmm.types.TableFactor
 
Record - Class in cc.mallet.cluster
 
Record(Alphabet, Alphabet) - Constructor for class cc.mallet.cluster.Record
 
Record(Alphabet, Alphabet, String[][]) - Constructor for class cc.mallet.cluster.Record
 
Record - Class in cc.mallet.extract
Created: Oct 12, 2004
Record(String, LabeledSpans) - Constructor for class cc.mallet.extract.Record
 
RegexFieldCleaner - Class in cc.mallet.extract
A field cleaner that removes all occurrences of a given regex.
RegexFieldCleaner(String) - Constructor for class cc.mallet.extract.RegexFieldCleaner
 
RegexFieldCleaner(Pattern) - Constructor for class cc.mallet.extract.RegexFieldCleaner
 
RegexFileFilter - Class in cc.mallet.util
 
RegexFileFilter(Pattern, Pattern) - Constructor for class cc.mallet.util.RegexFileFilter
 
RegexFileFilter(String, String) - Constructor for class cc.mallet.util.RegexFileFilter
 
RegexFileFilter(Pattern) - Constructor for class cc.mallet.util.RegexFileFilter
 
RegexFileFilter(String) - Constructor for class cc.mallet.util.RegexFileFilter
 
RegexMatches - Class in cc.mallet.pipe.tsf
 
RegexMatches(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.RegexMatches
 
RegionGraphGenerator - Interface in cc.mallet.grmm.inference.gbp
Interface for strategies that construct region graphs from arbitrary graphical models.
RememberTokenizationPipe - Class in cc.mallet.grmm.util
Created: Mar 17, 2005
RememberTokenizationPipe() - Constructor for class cc.mallet.grmm.util.RememberTokenizationPipe
 
remove() - Method in class cc.mallet.cluster.iterator.NeighborIterator
 
remove() - Method in class cc.mallet.fst.Transducer.TransitionIterator
 
remove() - Method in class cc.mallet.grmm.inference.MessageArray.Iterator
 
remove(Variable) - Method in class cc.mallet.grmm.types.FactorGraph
Removes a variable from this model, along with all of its factors.
remove(Collection) - Method in class cc.mallet.grmm.types.FactorGraph
Removes a Collection of variables from this model, along with all of its factors.
remove(Object) - Method in class cc.mallet.grmm.types.HashVarSet
 
remove(Object) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
remove() - Method in class cc.mallet.grmm.util.PipedIterator
Deprecated.  
remove() - Method in class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
 
remove() - Method in class cc.mallet.pipe.iterator.ArrayIterator
 
remove() - Method in class cc.mallet.pipe.iterator.ConcatenatedInstanceIterator
 
remove() - Method in class cc.mallet.pipe.iterator.CsvIterator
 
remove() - Method in class cc.mallet.pipe.iterator.EmptyInstanceIterator
 
remove() - Method in class cc.mallet.pipe.iterator.FileIterator
 
remove() - Method in class cc.mallet.pipe.iterator.FileListIterator
 
remove() - Method in class cc.mallet.pipe.iterator.LineGroupIterator
 
remove() - Method in class cc.mallet.pipe.iterator.LineIterator
 
remove() - Method in class cc.mallet.pipe.iterator.ParenGroupIterator
 
remove() - Method in class cc.mallet.pipe.iterator.PatternMatchIterator
 
remove() - Method in class cc.mallet.pipe.iterator.PipeExtendedIterator
Deprecated.  
remove() - Method in class cc.mallet.pipe.iterator.PipeInputIterator
Deprecated.  
remove() - Method in class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
remove() - Method in class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
remove() - Method in class cc.mallet.pipe.iterator.SegmentIterator
 
remove() - Method in class cc.mallet.pipe.iterator.SelectiveFileLineIterator
 
remove() - Method in class cc.mallet.pipe.iterator.SimpleFileLineIterator
 
remove() - Method in class cc.mallet.pipe.iterator.StringArrayIterator
 
remove() - Method in class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
remove() - Method in class cc.mallet.types.ChainedInstanceIterator
Deprecated.  
remove() - Method in class cc.mallet.types.CrossValidationIterator
 
remove(Object) - Method in class cc.mallet.types.FeatureSelection
 
remove(int) - Method in class cc.mallet.types.FeatureSelection
 
remove() - Method in class cc.mallet.types.FeatureVectorSequence.Iterator
 
remove() - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
 
remove(int) - Method in class cc.mallet.types.InstanceList
 
remove(Instance) - Method in class cc.mallet.types.InstanceList
 
remove() - Method in class cc.mallet.types.LabelSequence.Iterator
 
remove(Instance) - Method in class cc.mallet.types.MultiInstanceList
 
remove(int) - Method in class cc.mallet.types.MultiInstanceList
 
remove(Object) - Method in class cc.mallet.types.MultiInstanceList
 
remove() - Method in class cc.mallet.types.SingleInstanceIterator
 
remove() - Method in class cc.mallet.util.CharSequenceLexer
 
remove() - Method in interface cc.mallet.util.Lexer
 
remove() - Method in class cc.mallet.util.PropertyList.Iterator
 
remove(String, PropertyList) - Static method in class cc.mallet.util.PropertyList
 
remove() - Method in class cc.mallet.util.search.AStar
 
remove() - Method in class cc.mallet.util.search.SearchNode.NextNodeIterator
 
remove() - Method in class cc.mallet.util.search.SearchState.NextStateIterator
 
REMOVE_PUNCT - Static variable in class cc.mallet.extract.RegexFieldCleaner
 
removeAll(Collection) - Method in class cc.mallet.grmm.types.HashVarSet
 
removeAll(Collection) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
removeConstantFactors(FactorGraph) - Static method in class cc.mallet.grmm.util.Models
 
removeDuplicates(int) - Method in class cc.mallet.types.AugmentableFeatureVector
 
removeDuplicates(int) - Method in class cc.mallet.types.SparseVector
 
removeEvaluator(TransducerEvaluator) - Method in class cc.mallet.fst.TransducerTrainer
 
removeItem(String) - Method in class cc.mallet.classify.evaluate.Graph
 
removeLast() - Method in class cc.mallet.types.TokenSequence
 
removeSources() - Method in class cc.mallet.types.InstanceList
Sets the "source" field to null in all instances.
removeStopWords(String[]) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
removeStopWords(File) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
Remove whitespace-separated tokens in file "wordlist" to the stoplist.
removeSubsumedRegions(List) - Static method in class cc.mallet.grmm.inference.gbp.ClusterVariationalRegionGenerator
 
removeTargets() - Method in class cc.mallet.types.InstanceList
Sets the "target" field to null in all instances.
report() - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
report(String) - Method in class cc.mallet.util.Timing
Like tick(), but doesn't reset the counter.
reportTime() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
reportTime() - Method in class cc.mallet.grmm.inference.AbstractInferencer
 
reportTime() - Method in interface cc.mallet.grmm.inference.Inferencer
Outputs some measure of the total time spent in this inferencer.
reportTrainingLikelihood(ACRF, InstanceList) - Static method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
reset() - Method in class cc.mallet.cluster.GreedyAgglomerative
Reset convergence to false so a new round of clustering can begin.
reset() - Method in class cc.mallet.cluster.GreedyAgglomerativeByDensity
Reset convergence to false and clear state so a new round of clustering can begin.
reset() - Method in class cc.mallet.cluster.HillClimbingClusterer
Perform any cleanup of the clustering algorithm prior to clustering.
reset() - Method in class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
 
reset() - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator
 
reset() - Method in interface cc.mallet.cluster.neighbor_evaluator.NeighborEvaluator
Reset the state of the evaluator.
reset() - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator
 
reset() - Method in class cc.mallet.cluster.neighbor_evaluator.RandomEvaluator
Reset the state of the evaluator.
reset() - Method in class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
 
reset() - Method in class cc.mallet.fst.FeatureTransducer
 
reset() - Method in class cc.mallet.fst.HMM
Deprecated. 
reset() - Method in class cc.mallet.grmm.inference.TRP.ConvergenceTerminator
 
reset() - Method in class cc.mallet.grmm.inference.TRP.DefaultConvergenceTerminator
 
reset() - Method in class cc.mallet.grmm.inference.TRP.IterationTerminator
 
reset() - Method in interface cc.mallet.grmm.inference.TRP.TerminationCondition
 
reset() - Method in class cc.mallet.optimize.ConjugateGradient
 
reset() - Method in class cc.mallet.optimize.LimitedMemoryBFGS
Resets the previous gradients and values that are used to approximate the Hessian.
reset() - Method in class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
 
reset() - Method in class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
 
reset() - Method in class cc.mallet.types.Multinomial.Estimator
 
resetBeta(double, double) - Method in class cc.mallet.topics.WorkerRunnable
 
resetMessagesSentAtStart() - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
resetUniverse() - Static method in class cc.mallet.grmm.types.Universe
 
resetValueGradient() - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
ResidualBP - Class in cc.mallet.grmm.inference
A dynamic BP schedule where The loopy belief propagation algorithm for approximate inference in general graphical models.
ResidualBP() - Constructor for class cc.mallet.grmm.inference.ResidualBP
 
ResidualBP(int) - Constructor for class cc.mallet.grmm.inference.ResidualBP
 
ResidualBP(AbstractBeliefPropagation.MessageStrategy, int) - Constructor for class cc.mallet.grmm.inference.ResidualBP
 
restriction(Assignment, VarSet) - Static method in class cc.mallet.grmm.types.Assignment
Deprecated. marginalize
retainAll(Collection) - Method in class cc.mallet.grmm.types.HashVarSet
 
retainAll(Collection) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
retainMass(DiscreteFactor, double) - Static method in class cc.mallet.grmm.types.Factors
 
returnedCounts - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
ROCData - Class in cc.mallet.types
Tracks ROC data for instances in Trial results.
ROCData(double[], LabelAlphabet) - Constructor for class cc.mallet.types.ROCData
Constructs a new object
ROOT_TOPIC - Static variable in class cc.mallet.topics.HierarchicalPAM
 
rowDotProduct(int, Vector) - Method in class cc.mallet.types.Matrix2
Deprecated.  
rowDotProduct(int, Vector, int, FeatureSelection) - Method in class cc.mallet.types.Matrix2
Deprecated. Skip all column indices higher than "maxCi".
rowDotProduct(double[], int, int, Vector, int, FeatureSelection) - Static method in class cc.mallet.types.MatrixOps
 
rowDotProduct(double[], int, int, Vector, double, int, FeatureSelection) - Static method in class cc.mallet.types.MatrixOps
 
rowPlusEquals(int, Vector, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
rowPlusEquals(int, double, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
rowPlusEquals(double[], int, int, Vector, double) - Static method in class cc.mallet.types.MatrixOps
 
rowSetAll(int, double, FeatureSelection, boolean) - Method in class cc.mallet.types.Matrix2
Deprecated. If "ifSelected" is false, it reverses the selection.
rowSetAll(double[], int, int, double, FeatureSelection, boolean) - Static method in class cc.mallet.types.MatrixOps
If "ifSelected" is false, it reverses the selection.
run() - Method in class cc.mallet.cluster.examples.FirstOrderClusterExample
 
run() - Method in class cc.mallet.topics.WorkerRunnable
 
runComparison() - Static method in class cc.mallet.types.Dirichlet
 
runEvaluators() - Method in class cc.mallet.fst.TransducerTrainer
This method should be called by subclasses whenever evaluators should be run.
runJunctionTree() - Method in class cc.mallet.grmm.test.TestInference
 

S

sample(FactorGraph, int) - Method in class cc.mallet.grmm.inference.ExactSampler
 
sample(FactorGraph, int) - Method in class cc.mallet.grmm.inference.GibbsSampler
 
sample(FactorGraph, int) - Method in interface cc.mallet.grmm.inference.Sampler
Samples from the distribution of a given undirected model.
sample(Randoms) - Method in class cc.mallet.grmm.types.AbstractFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.Assignment
 
sample(Randoms) - Method in class cc.mallet.grmm.types.BetaFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.ConstantFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.CPT
 
sample(Randoms) - Method in interface cc.mallet.grmm.types.Factor
Return an assignment sampled from this factor, interpreting it as an unnormalized probability distribution.
sample(Randoms) - Method in class cc.mallet.grmm.types.FactorGraph
 
sample(Randoms) - Method in class cc.mallet.grmm.types.NormalFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.SkeletonFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.UniformFactor
 
sample(Randoms) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
sample() - Method in class cc.mallet.topics.MultinomialHMM
 
sample(int) - Method in class cc.mallet.topics.NPTopicModel
 
sample(int) - Method in class cc.mallet.topics.SimpleLDA
 
sampleContinuousVars(Randoms) - Method in class cc.mallet.grmm.types.FactorGraph
Samples the continuous variables in this factor graph.
sampleFromArray(int[], Randoms, int) - Method in class cc.mallet.cluster.iterator.ClusterSampleIterator
Samples a subset of elements from this array.
sampleLocation(Randoms) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
sampleLocation(Randoms) - Method in class cc.mallet.grmm.types.CPT
 
sampleLocation(Randoms) - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
samplePath(int, int) - Method in class cc.mallet.topics.HierarchicalLDA
 
Sampler - Interface in cc.mallet.grmm.inference
Interface for methods from sampling the distribution given by a graphical model.
sampleSplitFromArray(int[], Randoms, int) - Method in class cc.mallet.cluster.iterator.ClusterSampleIterator
Samples a two disjoint subset of elements from this array.
sampleTopics(int) - Method in class cc.mallet.topics.HierarchicalLDA
 
sampleTopicsForAllDocs(Randoms) - Method in class cc.mallet.topics.LDA
Deprecated.  
sampleTopicsForDocs(int, int, Randoms) - Method in class cc.mallet.topics.LDA
Deprecated.  
sampleTopicsForOneDoc(FeatureSequence, FeatureSequence, boolean, boolean) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
sampleTopicsForOneDoc(FeatureSequence, FeatureSequence) - Method in class cc.mallet.topics.NPTopicModel
 
sampleTopicsForOneDoc(PolylingualTopicModel.TopicAssignment, boolean) - Method in class cc.mallet.topics.PolylingualTopicModel
 
sampleTopicsForOneDoc(FeatureSequence, FeatureSequence) - Method in class cc.mallet.topics.SimpleLDA
 
sampleTopicsForOneDoc(FeatureSequence, FeatureSequence, boolean) - Method in class cc.mallet.topics.WorkerRunnable
 
sampleWithInstanceWeights(Random) - Method in class cc.mallet.types.InstanceList
Deprecated. 
sampleWithReplacement(Random, int) - Method in class cc.mallet.types.InstanceList
 
sampleWithWeights(Random, double[]) - Method in class cc.mallet.types.InstanceList
Returns an InstanceList of the same size, where the instances come from the random sampling (with replacement) of this list using the given weights.
SamplingInferencer - Class in cc.mallet.grmm.inference
Approximate inferencer for graphical models using sampling.
SamplingInferencer(Sampler, int) - Constructor for class cc.mallet.grmm.inference.SamplingInferencer
 
satisfiedBy(FeatureVector) - Method in class cc.mallet.types.FeatureConjunction
 
save(File) - Method in class cc.mallet.types.InstanceList
Saves this InstanceList to file.
SaveDataInSource - Class in cc.mallet.pipe
Set the source field of each instance to its data field.
SaveDataInSource() - Constructor for class cc.mallet.pipe.SaveDataInSource
 
saveModelInterval - Variable in class cc.mallet.topics.ParallelTopicModel
 
saveModelInterval - Variable in class cc.mallet.topics.PolylingualTopicModel
 
saveOldSv() - Static method in class cc.mallet.types.tests.TestHashedSparseVector
 
saveSampleInterval - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
saveSampleInterval - Variable in class cc.mallet.topics.ParallelTopicModel
 
saveSampleInterval - Variable in class cc.mallet.topics.PolylingualTopicModel
 
saveStateInterval - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
saveStateInterval - Variable in class cc.mallet.topics.ParallelTopicModel
 
saveStateInterval - Variable in class cc.mallet.topics.PolylingualTopicModel
 
saveXis - Static variable in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
saveXis - Static variable in class cc.mallet.fst.SumLatticeDefault
 
saveXis - Static variable in class cc.mallet.fst.SumLatticeScaling
 
scalingFactor - Variable in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
score(Clustering) - Method in interface cc.mallet.cluster.clustering_scorer.ClusteringScorer
 
score(Clustering) - Method in class cc.mallet.cluster.clustering_scorer.PairwiseScorer
 
scoreCache - Variable in class cc.mallet.cluster.GreedyAgglomerative
Cache for calls to NeighborhoodEvaluator.
scores - Variable in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
SE() - Method in class cc.mallet.util.Univariate
 
SearchNode - Class in cc.mallet.util.search
Created by IntelliJ IDEA.
SearchNode(SearchState, SearchNode, double) - Constructor for class cc.mallet.util.search.SearchNode
Create a search node with given state, parent, and cost.
SearchNode.NextNodeIterator - Class in cc.mallet.util.search
This iterator generates search nodes that refer to the states reachable from the state pertaining to a this search node.
SearchNode.NextNodeIterator() - Constructor for class cc.mallet.util.search.SearchNode.NextNodeIterator
 
SearchState - Interface in cc.mallet.util.search
Created by IntelliJ IDEA.
SearchState.NextStateIterator - Class in cc.mallet.util.search
Iterator over the states with transitions from a given state.
SearchState.NextStateIterator() - Constructor for class cc.mallet.util.search.SearchState.NextStateIterator
 
secondDerivative(Factor, Variable, Assignment) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
Segment - Class in cc.mallet.fst
Represents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extracted from an input Sequence.
Segment(Sequence, Sequence, Sequence, int, int, Object, Object) - Constructor for class cc.mallet.fst.Segment
Initializes the segment.
SegmentationEvaluator - Class in cc.mallet.fst
 
SegmentationEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.fst.SegmentationEvaluator
 
SegmentationEvaluator(InstanceList, String) - Constructor for class cc.mallet.fst.SegmentationEvaluator
 
SegmentationEvaluator(InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.SegmentationEvaluator
 
SegmentationEvaluator(InstanceList, String, InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.SegmentationEvaluator
 
SegmentIterator - Class in cc.mallet.pipe.iterator
Iterates over Segments extracted by a Transducer for some InstanceList.
SegmentIterator(Transducer, InstanceList, Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
NOTE!: Assumes that segmentStartTags[i] corresponds to segmentContinueTags[i].
SegmentIterator(Transducer, Instance, Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
Iterates over Segments for only one Instance.
SegmentIterator(InstanceList, Object[], Object[], ArrayList) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
Useful when no Transduce is specified.
SegmentIterator(Instance, Object[], Object[], Sequence) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
Iterate over segments in one instance.
SegmentIterator(Sequence, Sequence, Sequence, Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
Iterate over segments in one labeled sequence
SegmentProductConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence by combining the output of a segment confidence estimator for each segment.
SegmentProductConfidenceEstimator(Transducer, TransducerConfidenceEstimator) - Constructor for class cc.mallet.fst.confidence.SegmentProductConfidenceEstimator
 
selectFeaturesByInfoGain(InstanceList, int) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Select features with the highest information gain.
selectFeaturesFor(InstanceList) - Method in class cc.mallet.types.FeatureSelector
 
selectFeaturesForAllLabels(InstanceList) - Method in class cc.mallet.types.FeatureSelector
 
selectFeaturesForPerLabel(InstanceList) - Method in class cc.mallet.types.FeatureSelector
 
SelectiveFileLineIterator - Class in cc.mallet.pipe.iterator
Very similar to the SimpleFileLineIterator, but skips lines that match a regular expression.
SelectiveFileLineIterator(Reader, String) - Constructor for class cc.mallet.pipe.iterator.SelectiveFileLineIterator
 
SelectiveSGML2TokenSequence - Class in cc.mallet.pipe
Similar to SGML2TokenSequence, except that only the tags listed in allowedTags are converted to Labels.
SelectiveSGML2TokenSequence(CharSequenceLexer, String, Set) - Constructor for class cc.mallet.pipe.SelectiveSGML2TokenSequence
 
SelectiveSGML2TokenSequence(String, String, Set) - Constructor for class cc.mallet.pipe.SelectiveSGML2TokenSequence
 
SelectiveSGML2TokenSequence(Set) - Constructor for class cc.mallet.pipe.SelectiveSGML2TokenSequence
 
SelectiveSGML2TokenSequence(CharSequenceLexer, Set) - Constructor for class cc.mallet.pipe.SelectiveSGML2TokenSequence
 
selectTopLDAFeatures(int, ParallelTopicModel, Alphabet) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Select top features in LDA topics.
SelfTransitionGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
GE Constraint on the probability of self-transitions in the FST.
SelfTransitionGEConstraint(double, double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
sendMessage(FactorGraph, Factor, Variable) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation.MaxProductMessageStrategy
 
sendMessage(FactorGraph, Variable, Factor) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation.MaxProductMessageStrategy
 
sendMessage(FactorGraph, Factor, Variable) - Method in interface cc.mallet.grmm.inference.AbstractBeliefPropagation.MessageStrategy
 
sendMessage(FactorGraph, Variable, Factor) - Method in interface cc.mallet.grmm.inference.AbstractBeliefPropagation.MessageStrategy
 
sendMessage(FactorGraph, Variable, Factor) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
sendMessage(FactorGraph, Factor, Variable) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
sendMessage(FactorGraph, Factor, Variable) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation.SumProductMessageStrategy
 
sendMessage(FactorGraph, Variable, Factor) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation.SumProductMessageStrategy
 
sendMessage(RegionEdge) - Method in class cc.mallet.grmm.inference.gbp.FullMessageStrategy
 
sendMessage(RegionEdge) - Method in interface cc.mallet.grmm.inference.gbp.MessageStrategy
 
sendMessage(RegionEdge) - Method in class cc.mallet.grmm.inference.gbp.SparseMessageSender
 
sep - Static variable in class cc.mallet.pipe.iterator.FileIterator
Use as label names the directories specified in the constructor, optionally removing common prefix of all starting directories
sepsetPotentials() - Method in class cc.mallet.grmm.inference.JunctionTree
 
Sequence<E> - Interface in cc.mallet.types
 
SequenceConfidenceInstance - Class in cc.mallet.fst.confidence
Stores a Sequence and a PropertyList, used when extracting features from a Sequence in a pipe for confidence prediction
SequenceConfidenceInstance(Instance) - Constructor for class cc.mallet.fst.confidence.SequenceConfidenceInstance
 
SequencePair<I,O> - Class in cc.mallet.types
 
SequencePair(Sequence<I>, Sequence<O>) - Constructor for class cc.mallet.types.SequencePair
 
SequencePair() - Constructor for class cc.mallet.types.SequencePair
 
SequencePairAlignment<I,O> - Class in cc.mallet.types
 
SequencePairAlignment(Sequence<I>, Sequence<O>, double) - Constructor for class cc.mallet.types.SequencePairAlignment
 
SequencePairAlignment() - Constructor for class cc.mallet.types.SequencePairAlignment
 
SequencePrintingPipe - Class in cc.mallet.pipe.tsf
Created: Jul 6, 2005
SequencePrintingPipe(PrintWriter) - Constructor for class cc.mallet.pipe.tsf.SequencePrintingPipe
 
Sequences - Class in cc.mallet.util
Utility methods for cc.mallet.types.Sequence and similar classes.
Sequences() - Constructor for class cc.mallet.util.Sequences
 
sequenceToString() - Method in class cc.mallet.fst.Segment
 
SerialPipes - Class in cc.mallet.pipe
Convert an instance through a sequence of pipes.
SerialPipes() - Constructor for class cc.mallet.pipe.SerialPipes
 
SerialPipes(Pipe[]) - Constructor for class cc.mallet.pipe.SerialPipes
 
SerialPipes(Collection<Pipe>) - Constructor for class cc.mallet.pipe.SerialPipes
 
SerialPipes.Predicate - Class in cc.mallet.pipe
 
SerialPipes.Predicate() - Constructor for class cc.mallet.pipe.SerialPipes.Predicate
 
set(int, Clustering) - Method in class cc.mallet.cluster.Clusterings
 
set(int, int, double) - Method in class cc.mallet.cluster.util.PairwiseMatrix
 
set(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
 
set(int, double) - Method in class cc.mallet.types.IDSorter
Reinitialize an IDSorter
set(int, Instance) - Method in class cc.mallet.types.InstanceList
 
set(int, Label) - Method in class cc.mallet.types.Labels
 
set(double, boolean) - Method in class cc.mallet.types.LogNumber
 
set(ConstantMatrix) - Method in interface cc.mallet.types.Matrix
 
set(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
 
set(int, Instance) - Method in class cc.mallet.types.MultiInstanceList
 
set(int, Instance) - Method in class cc.mallet.types.PagedInstanceList
Replaces the Instance at position index with a new one.
set(int, double) - Method in class cc.mallet.types.RankedFeatureVector
 
set(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
 
set(int, double) - Method in class cc.mallet.util.DoubleList
 
setAbsTolx(double) - Method in class cc.mallet.optimize.BackTrackLineSearch
Sets the tolerance of absolute diff in function value.
setAddNoFactors(boolean) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
Use this method to specify whether or not factors are added to the CRF by this trainer.
setAddNoFactors(boolean) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
Use this method to specify whether or not factors are added to the CRF by this trainer.
setAll(double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
setAll(double) - Method in class cc.mallet.types.DenseMatrix
 
setAll(double) - Method in class cc.mallet.types.HashedSparseVector
 
setAll(double) - Method in class cc.mallet.types.IndexedSparseVector
 
setAll(double) - Method in interface cc.mallet.types.Matrix
 
setAll(double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
setAll(double, FeatureSelection, boolean) - Method in class cc.mallet.types.Matrix2
Deprecated. If "ifSelected" is false, it reverses the selection.
setAll(double[], double) - Static method in class cc.mallet.types.MatrixOps
Sets every element of a double array to a given value.
setAll(double[][][], double) - Static method in class cc.mallet.types.MatrixOps
 
setAll(double[][], double) - Static method in class cc.mallet.types.MatrixOps
 
setAll(double) - Method in class cc.mallet.types.SparseMatrixn
 
setAll(double) - Method in class cc.mallet.types.SparseVector
Sets every present index in the vector to v.
setAlpha(double) - Method in class cc.mallet.topics.HierarchicalLDA
 
setAlphabet(Alphabet) - Method in class cc.mallet.types.Multinomial.Estimator
 
setAlphas() - Method in class cc.mallet.topics.DMRTopicModel
Use only the default features to set the topic prior (use no document features)
setAlphas(int) - Method in class cc.mallet.topics.DMRTopicModel
This method sets the alphas for a hypothetical "document" that contains a single non-default feature.
setAlphas(Instance) - Method in class cc.mallet.topics.DMRTopicModel
Set alpha based on features in an instance
setAsStartState(CRF.State) - Method in class cc.mallet.fst.CRF
 
setBeamWidth(int) - Method in class cc.mallet.fst.SumLatticeBeam
 
setBinner(SimilarTokensTemplate.FeatureVectorBinner) - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
setBounds(int, int, int, int) - Method in class cc.mallet.classify.evaluate.Graph
Set bounds of canvas
setBurnin(int) - Method in class cc.mallet.grmm.inference.GibbsSampler
 
setBurninPeriod(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
setBurninPeriod(int) - Method in class cc.mallet.topics.MultinomialHMM
 
setBurninPeriod(int) - Method in class cc.mallet.topics.ParallelTopicModel
 
setBurninPeriod(int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
setCachedGradient(double[]) - Method in class cc.mallet.grmm.util.CachingOptimizable.ByGradient
Sets the cached gradient.
setCacheUnrolledGraphs(boolean) - Method in class cc.mallet.grmm.learning.ACRF
 
setCacheUnrolledGraphs(boolean) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setCaseSensitive(boolean) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
setCharSequence(CharSequence) - Method in class cc.mallet.util.CharSequenceLexer
 
setCheckpointDirectory(File) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setClassifier(MaxEnt) - Method in class cc.mallet.classify.MaxEntTrainer
Initialize parameters using the provided classifier.
setCollectGarbage(boolean) - Method in class cc.mallet.types.PagedInstanceList
 
setComparator(FieldComparator) - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
 
setComparator(FieldComparator) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
setComparator(FieldComparator) - Method in class cc.mallet.extract.PerFieldF1Evaluator
 
setConfidence(double) - Method in class cc.mallet.fst.Segment
 
setConstraintsFile(String) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
setConstraintsFile(String) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setConstraintsFile(String) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setCorrect(boolean) - Method in class cc.mallet.fst.Segment
 
setCounts(Label, double, int[]) - Method in class cc.mallet.types.ROCData
Sets the raw counts for a specified label and threshold.
setCPF(VarSet, Factor) - Method in class cc.mallet.grmm.inference.JunctionTree
 
setCurIter(int) - Method in class cc.mallet.fst.SumLatticeBeam
 
setData(InstanceList, InstanceList) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setData(Object) - Method in class cc.mallet.types.Instance
 
setDataAlphabet(Alphabet) - Method in class cc.mallet.pipe.Pipe
 
setDataSource(Iterator<Instance>, Iterator<Instance>) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setDataSubsets(Random, double, double) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setDefaultFeatureIndex(int) - Method in class cc.mallet.classify.MaxEnt
 
setDefaultWeight(int, double) - Method in class cc.mallet.fst.CRF
 
setDefaultWeight(int, double) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
setDefaultWeights(double[]) - Method in class cc.mallet.fst.CRF
 
setDefaultWeights(SparseVector) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
setDepthLimited(boolean) - Method in class cc.mallet.classify.C45Trainer
 
setDistinguishEndpts(boolean) - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
setDocLengthNormalization(double) - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
setDocLengthNormalization(double) - Method in class cc.mallet.classify.NaiveBayesTrainer.Factory
 
setDocLengthNormalization(double) - Method in class cc.mallet.classify.NaiveBayesTrainer
 
setDoPruning(boolean) - Method in class cc.mallet.classify.C45Trainer
 
setDoSizeScale(boolean) - Method in class cc.mallet.grmm.learning.ACRF
 
setDouble(int, Variable, double) - Method in class cc.mallet.grmm.types.Assignment
 
setEntropyWeight(double) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
Sets the scaling factor for the entropy regularization term.
setErrorOutputStream(OutputStream) - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
 
setErrorOutputStream(OutputStream) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
 
setErrorOutputStream(OutputStream) - Method in class cc.mallet.extract.PerFieldF1Evaluator
 
setEta(double) - Method in class cc.mallet.topics.HierarchicalLDA
 
setEvaluator(ACRFEvaluator) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setEvaluator(OptimizerEvaluator.ByGradient) - Method in class cc.mallet.optimize.ConjugateGradient
 
setEvaluator(OptimizerEvaluator.ByGradient) - Method in class cc.mallet.optimize.GradientAscent
 
setEvaluator(OptimizerEvaluator.ByGradient) - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
setExcludeAdjacent(boolean) - Method in class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
setFactory(TRP.TreeFactory) - Method in class cc.mallet.grmm.inference.TRP
 
setFeatureMultinomialEstimator(Multinomial.Estimator) - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
setFeatureMultinomialEstimator(Multinomial.Estimator) - Method in class cc.mallet.classify.NaiveBayesTrainer.Factory
 
setFeatureMultinomialEstimator(Multinomial.Estimator) - Method in class cc.mallet.classify.NaiveBayesTrainer
Set the Multinomial Estimator used for features.
setFeaturePipe(Pipe) - Method in class cc.mallet.extract.CRFExtractor
 
setFeatures(PropertyList) - Method in interface cc.mallet.types.PropertyHolder
 
setFeatures(PropertyList) - Method in class cc.mallet.types.Token
 
setFeatureSelection(FeatureSelection) - Method in class cc.mallet.classify.MaxEnt
 
setFeatureSelection(int, FeatureSelection) - Method in class cc.mallet.fst.CRF
 
setFeatureSelection(FeatureSelection) - Method in class cc.mallet.types.InstanceList
 
setFeaturesIncludeToken(boolean) - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
If true, then the first feature in the list is considered to be the token's text.
setFeatureValue(String, double) - Method in class cc.mallet.fst.confidence.SequenceConfidenceInstance
 
setFeatureValue(String, double) - Method in interface cc.mallet.types.PropertyHolder
 
setFeatureValue(String, double) - Method in class cc.mallet.types.Token
 
setFinalWeight(double) - Method in class cc.mallet.fst.CRF.State
 
setFinalWeight(double) - Method in class cc.mallet.fst.FeatureTransducer.State
 
setFinalWeight(double) - Method in class cc.mallet.fst.HMM.State
 
setFinalWeight(double) - Method in class cc.mallet.fst.Transducer.State
 
setFirstString(String) - Method in class cc.mallet.types.StringEditVector
 
setFixedPotentials(ACRF.Template[]) - Method in class cc.mallet.grmm.learning.ACRF
 
setGamma(double) - Method in class cc.mallet.topics.HierarchicalLDA
 
setGamma(double) - Method in class cc.mallet.topics.MultinomialHMM
 
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
Sets the variance for Gaussian prior or equivalently the inverse of the weight of the L2 regularization term.
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
Sets a parameter to prevent overtraining.
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
Sets a parameter to prevent overtraining.
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntTrainer
Sets a parameter to prevent overtraining.
setGaussianPriorVariance(double) - Method in class cc.mallet.classify.MCMaxEntTrainer
Sets a parameter to prevent overtraining.
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
setGaussianPriorVariance(double) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
setGaussianPriorVariance(double) - Method in class cc.mallet.grmm.learning.ACRF
 
setGaussianPriorVariance(double) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
setGaussianPriorVariance(double) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
setGaussianPriorVariance(double) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
setGEWeight(double) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
setGraphProcessor(ACRF.GraphPostProcessor) - Method in class cc.mallet.grmm.learning.ACRF
 
setGrowAlphabet(boolean) - Method in class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
 
setHyperbolicPriorSharpness(double) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
setHyperbolicPriorSharpness(double) - Method in class cc.mallet.classify.MCMaxEntTrainer
 
setHyperbolicPriorSharpness(double) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
setHyperbolicPriorSharpness(double) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
setHyperbolicPriorSharpness(double) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
setHyperbolicPriorSlope(double) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
setHyperbolicPriorSlope(double) - Method in class cc.mallet.classify.MCMaxEntTrainer
 
setHyperbolicPriorSlope(double) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
setHyperbolicPriorSlope(double) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
setHyperbolicPriorSlope(double) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
setIncludeTokenText(boolean) - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
setInertiaWeight(double) - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
setInferenceCache(Class, Object) - 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).
setInferencer(Inferencer) - Method in class cc.mallet.grmm.learning.ACRF
 
setInferencer(Inferencer) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setInitialStep(double) - Method in class cc.mallet.optimize.StochasticMetaAscent
 
setInitialStepSize(double) - Method in class cc.mallet.optimize.ConjugateGradient
 
setInitialStepSize(double) - Method in class cc.mallet.optimize.GradientAscent
 
setInitialWeight(double) - Method in class cc.mallet.fst.CRF.State
 
setInitialWeight(double) - Method in class cc.mallet.fst.FeatureTransducer.State
 
setInitialWeight(double) - Method in class cc.mallet.fst.HMM.State
 
setInitialWeight(double) - Method in class cc.mallet.fst.Transducer.State
 
setInitSupervised(boolean) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
setInProduction(boolean) - Method in class cc.mallet.pipe.AddClassifierTokenPredictions
 
setInProduction(Pipe, boolean) - Static method in class cc.mallet.pipe.AddClassifierTokenPredictions
 
setInstance(int, Instance) - Method in class cc.mallet.types.InstanceList
Replaces the Instance at position index with a new one.
setInstance(int, Instance) - Method in class cc.mallet.types.MultiInstanceList
 
setInstanceId(VMID) - Method in class cc.mallet.types.Alphabet
 
setInstanceWeight(int, double) - Method in class cc.mallet.types.InstanceList
 
setInstanceWeight(Instance, double) - Method in class cc.mallet.types.InstanceList
 
setInstanceWeight(Instance, double) - Method in class cc.mallet.types.MultiInstanceList
 
setInterceptGaussianPriorVariance(double) - Method in class cc.mallet.topics.DMROptimizable
Set the variance for the default features (aka intercept terms), generally larger than the variance for the regular features.
setKLeps(double) - Method in class cc.mallet.fst.SumLatticeBeam
 
setL1RegularizationWeight(double) - Method in class cc.mallet.fst.CRFTrainerByL1LabelLikelihood
 
setL1Weight(double) - Method in class cc.mallet.classify.MaxEntTrainer
Use an L1 prior.
setL2(boolean) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setLabel(int, int) - Method in class cc.mallet.cluster.Clustering
Set the cluster label for a particular instance.
setLabel(String) - Method in class cc.mallet.grmm.types.BitVarSet
 
setLabel(String) - Method in class cc.mallet.grmm.types.Variable
 
setLabeling(Labeling) - Method in class cc.mallet.types.Instance
 
setLabelsAtEnd(boolean) - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
setLearningRate(double) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
setLearningRateByLikelihood(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
Automatically sets the learning rate to one that would be good
setLineMaximizer(LineOptimizer.ByGradient) - Method in class cc.mallet.optimize.ConjugateGradient
 
setLineOptimizer(LineOptimizer.ByGradient) - Method in class cc.mallet.optimize.LimitedMemoryBFGS
Sets the LineOptimizer.ByGradient to use in L-BFGS optimization.
setLogValue(Assignment, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Use of this method is discouraged.
setLogValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Use of this method is discouraged.
setLogValue(Assignment, double) - Method in class cc.mallet.grmm.types.LogTableFactor
 
setLogValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.LogTableFactor
 
setLogValue(Assignment, double) - Method in class cc.mallet.grmm.types.TableFactor
 
setLogValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.TableFactor
 
setLogValues(double[]) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
setLogValues(double[]) - Method in class cc.mallet.grmm.types.LogTableFactor
 
setLogValues(double[]) - Method in class cc.mallet.grmm.types.TableFactor
 
setMarkDeletions(boolean) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
setMatch(int) - Method in class cc.mallet.types.StringEditVector
 
setMaxDepth(int) - Method in class cc.mallet.classify.C45Trainer
 
setMaxDepth(int) - Method in class cc.mallet.classify.DecisionTreeTrainer
 
setMaxer(Optimizer) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
setMaxIterations(int) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
Specifies the maximum number of iterations to run during a single call to train or trainWithFeatureInduction.
setMaxIterations(int) - Method in class cc.mallet.classify.MaxEntGETrainer
Specifies the maximum number of iterations to run during a single call to train or trainWithFeatureInduction.
setMaxIterations(int) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setMaxLatticeFactory(MaxLatticeFactory) - Method in class cc.mallet.fst.Transducer
 
setMaxResets(int) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Sets the max.
setMaxStepSize(double) - Method in class cc.mallet.optimize.GradientAscent
 
setMessageArray(MessageArray, MessageArray) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation.AbstractMessageStrategy
 
setMessageArray(MessageArray, MessageArray) - Method in interface cc.mallet.grmm.inference.AbstractBeliefPropagation.MessageStrategy
 
setMessageArray(MessageArray, MessageArray) - Method in class cc.mallet.grmm.inference.gbp.AbstractMessageStrategy
 
setMessageArray(MessageArray, MessageArray) - Method in interface cc.mallet.grmm.inference.gbp.MessageStrategy
 
setMessager(AbstractBeliefPropagation.MessageStrategy) - Method in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
setMinInfoGainSplit(double) - Method in class cc.mallet.classify.DecisionTreeTrainer
 
setMinIterations(int) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setMinNumInsts(int) - Method in class cc.mallet.classify.C45Trainer
 
setModelOutput(int, String) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
setModelOutput(int, String) - Method in class cc.mallet.topics.PolylingualTopicModel
 
setMu(double) - Method in class cc.mallet.optimize.StochasticMetaAscent
 
setName(Object) - Method in class cc.mallet.types.Instance
 
setNormalize(boolean) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
setNormalize(boolean) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setNormalize(boolean) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setNumCheckpointIterations(int) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setNumComponents(int) - Static method in class cc.mallet.optimize.tests.TestOptimizable
Sets the number of gradient components that will be checked.
setNumericProperty(String, double) - Method in class cc.mallet.grmm.types.Variable
 
setNumericProperty(String, double) - Method in class cc.mallet.types.Instance
 
setNumericProperty(String, double) - Method in interface cc.mallet.types.PropertyHolder
 
setNumericProperty(String, double) - Method in class cc.mallet.types.Token
 
setNumericProperty(String, double) - Method in class cc.mallet.types.TokenSequence
 
setNumFeaturesToDisplay(int) - Static method in class cc.mallet.extract.LatticeViewer
 
setNumIterations(int) - Method in class cc.mallet.classify.MaxEntTrainer
Specifies the maximum number of iterations to run during a single call to train or trainWithFeatureInduction.
setNumIterations(int) - Method in class cc.mallet.classify.MCMaxEntTrainer
Specifies the maximum number of iterations to run during a single call to train or trainWithFeatureInduction.
setNumIterations(int) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setNumIterations(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
setNumIterations(int) - Method in class cc.mallet.topics.MultinomialHMM
 
setNumIterations(int) - Method in class cc.mallet.topics.ParallelTopicModel
 
setNumIterations(int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
setNumIterToSkip(int) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
setNumIterToWait(int) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
setNumLabels(int) - Method in class cc.mallet.cluster.Clustering
Set the number of clusters
setNumResets(int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
Sets number of resets of L-BFGS during optimization.
setNumThreads(int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
setNumThreads(int) - Method in class cc.mallet.topics.ParallelTopicModel
 
setObserved(Variable, int) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
setOptimizable(Optimizer) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
setOptimizeInterval(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
setOptimizeInterval(int) - Method in class cc.mallet.topics.MultinomialHMM
 
setOptimizeInterval(int) - Method in class cc.mallet.topics.ParallelTopicModel
Interval for optimizing Dirichlet hyperparameters
setOptimizeInterval(int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
setOptimizer(Optimizer) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
setOptimizer(Optimizer) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setOrCheckDataAlphabet(Alphabet) - Method in class cc.mallet.pipe.Pipe
 
setOrCheckTargetAlphabet(Alphabet) - Method in class cc.mallet.pipe.Pipe
 
setOutputPrefix(File) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
setOutputPrefix(File) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
setParameter(int, int, double) - Method in class cc.mallet.classify.MaxEnt
 
setParameter(int, double) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
setParameter(int, double) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
setParameter(int, double) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
setParameter(int, int, double) - Method in class cc.mallet.classify.MCMaxEnt
 
setParameter(int, double) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
setParameter(int, double) - Method in class cc.mallet.fst.CRF.Factors
 
setParameter(int, int, int, double) - Method in class cc.mallet.fst.CRF
Only sets the parameter from the first group of parameters.
setParameter(int, int, int, int, double) - Method in class cc.mallet.fst.CRF
 
setParameter(int, double) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
setParameter(int, double) - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
 
setParameter(int, double) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
setParameter(int, double) - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
setParameter(int, double) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
setParameter(int, double) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
setParameter(int, double) - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
setParameter(int, double) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
setParameter(int, double) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
setParameter(int, double) - Method in class cc.mallet.fst.ThreadedOptimizable
 
setParameter(int, double) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
setParameter(int, double) - Method in interface cc.mallet.optimize.Optimizable
 
setParameter(int, double) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
setParameter(int, double) - Method in class cc.mallet.topics.DMROptimizable
 
setParameters(double[]) - Method in class cc.mallet.classify.MaxEnt
 
setParameters(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
 
setParameters(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
setParameters(double[]) - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
setParameters(double[]) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
 
setParameters(double[]) - Method in class cc.mallet.fst.CRF.Factors
 
setParameters(double[]) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
setParameters(double[]) - Method in class cc.mallet.fst.CRFOptimizableByGradientValues
 
setParameters(double[]) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
setParameters(double[]) - Method in class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
 
setParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
setParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
 
setParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
setParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
setParameters(double[]) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 
setParameters(double[]) - Method in class cc.mallet.fst.ThreadedOptimizable
 
setParameters(double[]) - Method in class cc.mallet.grmm.learning.ACRF.MaximizableACRF
 
setParameters(double[]) - Method in interface cc.mallet.optimize.Optimizable
 
setParameters(double[]) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
 
setParameters(double[]) - Method in class cc.mallet.topics.DMROptimizable
 
setParametersInternal(double[]) - Method in class cc.mallet.grmm.learning.PiecewiseACRFTrainer.Maxable
 
setParametersInternal(double[]) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer.Maxable
 
setParametersInternal(double[]) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer.Maxable
 
setPattern(String) - Method in class cc.mallet.util.CharSequenceLexer
 
setPerClassFeatureSelection(FeatureSelection[]) - Method in class cc.mallet.classify.MaxEnt
 
setPerLabelFeatureSelection(FeatureSelection[]) - Method in class cc.mallet.types.InstanceList
 
setPerTemplateIterations(int) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setPGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setPGaussianPriorVariance(double) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
setPipe(Pipe) - Method in class cc.mallet.types.InstanceList
Change the default Pipe associated with InstanceList.
setPipes(Pipe, Pipe) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setPosition(int) - Method in interface cc.mallet.util.search.QueueElement
Set the current queue position for this element.
setPosition(int) - Method in class cc.mallet.util.search.SearchNode
 
setPredicted(Sequence) - Method in class cc.mallet.fst.Segment
 
setPriority(double) - Method in interface cc.mallet.util.search.QueueElement
Set the priority of this element.
setPriority(double) - Method in class cc.mallet.util.search.SearchNode
 
setPriorMultinomialEstimator(Multinomial.Estimator) - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
setPriorMultinomialEstimator(Multinomial.Estimator) - Method in class cc.mallet.classify.NaiveBayesTrainer.Factory
 
setPriorMultinomialEstimator(Multinomial.Estimator) - Method in class cc.mallet.classify.NaiveBayesTrainer
Set the Multinomial Estimator used for priors.
setProgressDisplay(boolean) - Method in class cc.mallet.topics.HierarchicalLDA
This parameter determines whether the sampler outputs shows progress by outputting a character after every iteration.
setProgressDisplayInterval(int) - Method in class cc.mallet.pipe.iterator.SimpleFileLineIterator
Set the iterator to periodically print the total number of lines read to standard out.
setProperties(PropertyList) - Method in interface cc.mallet.types.PropertyHolder
 
setProperties(PropertyList) - Method in class cc.mallet.types.Token
 
setProperty(String, Object) - Method in class cc.mallet.types.Instance
 
setProperty(String, Object) - Method in interface cc.mallet.types.PropertyHolder
 
setProperty(String, Object) - Method in class cc.mallet.types.Token
 
setProperty(String, Object) - Method in class cc.mallet.types.TokenSequence
 
setPropertyList(PropertyList) - Method in class cc.mallet.types.Instance
Deprecated. 
setPunctuationPattern(Pattern) - Method in class cc.mallet.extract.PunctuationIgnoringComparator
 
setQGaussianPriorVariance(double) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setRand(Random) - Method in class cc.mallet.grmm.inference.LoopyBP
 
setRand(Random) - Method in class cc.mallet.grmm.inference.ResidualBP
 
setRandom(Randoms) - Method in class cc.mallet.grmm.inference.ExactSampler
 
setRandom(Randoms) - Method in class cc.mallet.grmm.inference.GibbsSampler
 
setRandom(Randoms) - Method in interface cc.mallet.grmm.inference.Sampler
Sets the random seed used by this sampler.
setRandomSeed(long) - Method in class cc.mallet.grmm.inference.TRP
 
setRandomSeed(int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
setRandomSeed(int) - Method in class cc.mallet.topics.MultinomialHMM
 
setRandomSeed(int) - Method in class cc.mallet.topics.NPTopicModel
 
setRandomSeed(int) - Method in class cc.mallet.topics.ParallelTopicModel
 
setRandomSeed(int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
setRandomSeed(int) - Method in class cc.mallet.topics.SimpleLDA
 
setRandomSeed(int) - Method in class cc.mallet.topics.TopicInferencer
 
setRankOrder(int, boolean) - Method in class cc.mallet.types.PartiallyRankedFeatureVector
 
setRankOrder() - Method in class cc.mallet.types.RankedFeatureVector
 
setRankOrder(int, boolean) - Method in class cc.mallet.types.RankedFeatureVector
 
setRankOrder(int) - Method in class cc.mallet.types.RankedFeatureVector
 
setRawValue(Assignment, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
setRawValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
setRawValue(int, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
setRegularGaussianPriorVariance(double) - Method in class cc.mallet.topics.DMROptimizable
Set the variance for regular (non default) features, generally smaller than the variance for the default features.
setRelTolx(double) - Method in class cc.mallet.optimize.BackTrackLineSearch
Sets the tolerance of relative diff in function value.
setRethrowExceptions(boolean) - Static method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
setReverseRankOrder(int, boolean) - Method in class cc.mallet.types.RankedFeatureVector
 
setRmin(double) - Method in class cc.mallet.fst.SumLatticeBeam
 
setRow(int, Assignment) - Method in class cc.mallet.grmm.types.Assignment
 
setRow(int, int[]) - Method in class cc.mallet.grmm.types.Assignment
 
setSaveSerializedModel(int, String) - Method in class cc.mallet.topics.ParallelTopicModel
Define how often and where to save a serialized model.
setSaveState(int, String) - Method in class cc.mallet.topics.LDAHyper
Deprecated. Define how often and where to save the state
setSaveState(int, String) - Method in class cc.mallet.topics.ParallelTopicModel
Define how often and where to save a text representation of the current state.
setSaveState(int, String) - Method in class cc.mallet.topics.PolylingualTopicModel
Define how often and where to save the state
setScalingFactor(double) - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
 
setSecondString(String) - Method in class cc.mallet.types.StringEditVector
 
setSegmentEndTag(Object) - Method in class cc.mallet.fst.SegmentationEvaluator
 
setSegmentStartTag(Object) - Method in class cc.mallet.fst.SegmentationEvaluator
 
setSingle(int, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
setSingleValue(int, double) - Method in class cc.mallet.types.DenseMatrix
 
setSingleValue(int, double) - Method in interface cc.mallet.types.Matrix
 
setSingleValue(int, double) - Method in class cc.mallet.types.SparseMatrixn
 
setSlice(int) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
setSource(Object) - Method in class cc.mallet.types.Instance
 
setStateFile(String) - Method in class cc.mallet.topics.HierarchicalLDA
 
setStateLabelMap(StateLabelMap) - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
Sets that map between the state indices and label indices.
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
setStateLabelMap(StateLabelMap) - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
Sets that map between the state indices and label indices.
setStateLabelMap(StateLabelMap) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
setStpmax(double) - Method in class cc.mallet.optimize.GradientAscent
 
setStructureType(int) - Method in class cc.mallet.grmm.learning.PseudolikelihoodACRFTrainer
 
setSubFactor(DiscreteFactor) - Method in class cc.mallet.grmm.types.CPT
 
setSumLatticeFactory(SumLatticeFactory) - Method in class cc.mallet.fst.Transducer
 
setSummary(String) - Method in class cc.mallet.util.CommandOption.List
 
setSummary(Class, String) - Static method in class cc.mallet.util.CommandOption
 
setSupervisedIterations(int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
setSupportedOnly(boolean) - Method in class cc.mallet.grmm.learning.ACRF
Sets all templates of this ACRF to use supported features only.
setSymmetricAlpha(boolean) - Method in class cc.mallet.topics.ParallelTopicModel
 
setTarget(Object) - Method in class cc.mallet.types.Instance
 
setTargetAlphabet(Alphabet) - Method in class cc.mallet.pipe.Pipe
 
setTargetProcessing(boolean) - Method in class cc.mallet.pipe.Pipe
Set whether input is taken from target field of instance during processing.
setTargetProcessing(boolean) - Method in class cc.mallet.pipe.SerialPipes
 
setTargetsUsingData(InstanceList, ArrayList<Integer>) - Static method in class cc.mallet.classify.FeatureConstraintUtil
 
setTargetsUsingData(InstanceList, ArrayList<Integer>, boolean) - Static method in class cc.mallet.classify.FeatureConstraintUtil
 
setTargetsUsingData(InstanceList, ArrayList<Integer>, boolean, boolean) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Set target distributions using estimates from data.
setTargetsUsingFeatureVoting(HashMap<Integer, ArrayList<Integer>>, InstanceList) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Set target distributions using feature voting heuristic described in "Learning from Labeled Features using Generalized Expectation Criteria" Gregory Druck, Gideon Mann, Andrew McCallum.
setTargetsUsingHeuristic(HashMap<Integer, ArrayList<Integer>>, int, double) - Static method in class cc.mallet.classify.FeatureConstraintUtil
Set target distributions using "Schapire" heuristic described in "Learning from Labeled Features using Generalized Expectation Criteria" Gregory Druck, Gideon Mann, Andrew McCallum.
setTemperature(double) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
setTemperature(double) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setTemperature(double) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
Model probabilities are raised to the power 1/temperature and renormalized.
setTemperingInterval(int) - Method in class cc.mallet.topics.ParallelTopicModel
 
setTemplates(ACRF.Template[]) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setTerminator(TRP.TerminationCondition) - Method in class cc.mallet.grmm.inference.TRP
 
setTestingInstances(InstanceList) - Method in class cc.mallet.topics.LDAHyper
Deprecated. Held-out instances for empirical likelihood calculation
setText(String) - Method in class cc.mallet.types.Token
 
setTextFeaturePrefix(String) - Method in class cc.mallet.grmm.learning.GenericAcrfData2TokenSequence
 
setTokenizatioFilter(TokenizationFilter) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setTokenizationFilter(TokenizationFilter) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
setTokenizationPipe(Pipe) - Method in class cc.mallet.extract.CRFExtractor
 
setTokenizationPipe(Pipe) - Method in interface cc.mallet.extract.Extractor
Sets the pipe used by this extractor for tokenization.
setTokenizationPipe(Pipe) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractor
 
setTokensAsFeatures - Variable in class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
 
setTolerance(double) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
setTolerance(double) - Method in class cc.mallet.optimize.ConjugateGradient
 
setTolerance(double) - Method in class cc.mallet.optimize.GradientAscent
Sets the tolerance in the convergence test: 2.0*|value-old_value| <= tolerance*(|value|+|old_value|+eps) Default value is 0.001.
setTolerance(double) - Method in class cc.mallet.optimize.LimitedMemoryBFGS
 
setTopicDisplay(int, int) - Method in class cc.mallet.topics.HierarchicalLDA
 
setTopicDisplay(int, int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
setTopicDisplay(int, int) - Method in class cc.mallet.topics.NPTopicModel
 
setTopicDisplay(int, int) - Method in class cc.mallet.topics.ParallelTopicModel
 
setTopicDisplay(int, int) - Method in class cc.mallet.topics.PolylingualTopicModel
 
setTopicDisplay(int, int) - Method in class cc.mallet.topics.SimpleLDA
 
setTopicDisplayInterval(int) - Method in class cc.mallet.topics.MultinomialHMM
 
setTopicScore(int, double) - Method in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
setTopicWordScore(int, int, double) - Method in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
setTrainable(boolean) - Method in class cc.mallet.fst.FeatureTransducer
 
setTrainable(boolean) - Method in class cc.mallet.grmm.learning.ACRF.FixedFactorTemplate
 
setTrainable(boolean) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
setTrainingMethod(ACRFTrainer) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setUnlabeledDataWeight(double) - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
setUp() - Method in class cc.mallet.classify.tests.TestClassifiers
 
setUp() - Method in class cc.mallet.classify.tests.TestMaxEntTrainer
 
setUp() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
setUp() - Method in class cc.mallet.classify.tests.TestStaticParameters
 
setUp() - Method in class cc.mallet.cluster.evaluate.tests.TestClusteringEvaluators
 
setUp() - Method in class cc.mallet.cluster.iterator.tests.TestIterators
 
setUp() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
 
setUp() - Method in class cc.mallet.grmm.test.TestAssignment
 
setUp() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
setUp() - Method in class cc.mallet.grmm.test.TestInference
 
setUp() - Method in class cc.mallet.grmm.test.TestPottsFactor
 
setUp() - Method in class cc.mallet.optimize.tests.TestOptimizable
 
setUp() - Method in class cc.mallet.pipe.iterator.tests.TestPatternMatchIterator
 
setUp() - Method in class cc.mallet.pipe.tests.TestInstancePipe
 
setUp() - Method in class cc.mallet.pipe.tests.TestRainbowStyle
 
setUp() - Method in class cc.mallet.pipe.tests.TestSGML2TokenSequence
 
setUp() - Method in class cc.mallet.pipe.tsf.tests.TestOffsetConjunctions
 
setUp() - Method in class cc.mallet.types.tests.TestFeatureSequence
 
setUp() - Method in class cc.mallet.types.tests.TestFeatureVector
 
setUp() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
setUp() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
setUp() - Method in class cc.mallet.types.tests.TestLabelVector
 
setUp() - Method in class cc.mallet.types.tests.TestMatrix
 
setUp() - Method in class cc.mallet.types.tests.TestMultinomial
 
setUp() - Method in class cc.mallet.types.tests.TestRankedFeatureVector
 
setUp() - Method in class cc.mallet.types.tests.TestSparseVector
 
setUp() - Method in class cc.mallet.types.tests.TestToken
 
setUp() - Method in class cc.mallet.util.tests.TestPropertyList
 
setupData() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setUseCaching(boolean) - Method in class cc.mallet.grmm.inference.LoopyBP
 
setUseCaching(boolean) - Method in class cc.mallet.grmm.inference.ResidualBP
 
setUseForwardBackwardBeam(boolean) - Method in class cc.mallet.fst.SumLatticeBeam
 
setUseHessian(boolean) - Method in class cc.mallet.optimize.StochasticMetaAscent
 
setUseHyperbolicPrior(boolean) - Method in class cc.mallet.classify.MCMaxEntTrainer
 
setUseHyperbolicPrior(boolean) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
setUseHyperbolicPrior(boolean) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
setUseHyperbolicPrior(boolean) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
setUseInertia(boolean) - Method in class cc.mallet.grmm.inference.gbp.ParentChildGBP
 
setUsePerTemplateTrain(boolean) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setUseSomeUnsupportedTrick(boolean) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
Sets whether to use the 'some unsupported trick.' This trick is, if training a CRF where some training has been done and sparse weights are used, to add a few weights for feaures that do not occur in the tainig data.
setUseSomeUnsupportedTrick(boolean) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
Sets whether to use the 'some unsupported trick.' This trick is, if training a CRF where some training has been done and sparse weights are used, to add a few weights for feaures that do not occur in the tainig data.
setUseSparseWeights(boolean) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
setUseSparseWeights(boolean) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
setUseValues(boolean) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
setUseValues(boolean) - Method in class cc.mallet.classify.MaxEntGETrainer
 
setUseValues(boolean) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
setValidationInstances(InstanceList) - Method in class cc.mallet.classify.ClassifierTrainer
 
setValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Use of this method is discouraged.
setValue(Variable, int) - Method in class cc.mallet.grmm.types.Assignment
 
setValue(int, Variable, int) - Method in class cc.mallet.grmm.types.Assignment
 
setValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.LogTableFactor
 
setValue(AssignmentIterator, double) - Method in class cc.mallet.grmm.types.TableFactor
 
setValue(int, double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
setValue(int[], double) - Method in class cc.mallet.types.DenseMatrix
 
setValue(int[], double) - Method in class cc.mallet.types.DenseVector
 
setValue(int, double) - Method in class cc.mallet.types.DenseVector
 
setValue(int, double) - Method in class cc.mallet.types.HashedSparseVector
 
setValue(int, double) - Method in class cc.mallet.types.IndexedSparseVector
 
setValue(int[], double) - Method in interface cc.mallet.types.Matrix
 
setValue(int, int, double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
setValue(int[], double) - Method in class cc.mallet.types.Matrix2
Deprecated.  
setValue(int[], double) - Method in class cc.mallet.types.Matrixn
 
setValue(int[], double) - Method in class cc.mallet.types.SparseMatrixn
 
setValue(int, double) - Method in class cc.mallet.types.SparseVector
Sets the value at the given index.
setValueAtLocation(int, double) - Method in class cc.mallet.types.AugmentableFeatureVector
 
setValueAtLocation(int, double) - Method in class cc.mallet.types.DenseMatrix
 
setValueAtLocation(int, double) - Method in class cc.mallet.types.HashedSparseVector
 
setValueAtLocation(int, double) - Method in class cc.mallet.types.IndexedSparseVector
 
setValueAtLocation(int, double) - Method in interface cc.mallet.types.Matrix
 
setValueAtLocation(int, double) - Method in class cc.mallet.types.SparseMatrixn
 
setValueAtLocation(int, double) - Method in class cc.mallet.types.SparseVector
Sets the value at the given location.
setValues(Matrix) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
setValues(double[]) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
setValues(double[]) - Method in class cc.mallet.grmm.types.LogTableFactor
 
setValues(double[]) - Method in class cc.mallet.grmm.types.TableFactor
 
setVarSet(VarSet) - Method in class cc.mallet.grmm.types.AbstractFactor
 
setVerboseOutputDirectory(File) - Method in class cc.mallet.grmm.inference.TRP
 
setVerboseOutputDirectory(File) - Method in class cc.mallet.grmm.learning.ACRF
 
setViterbiInferencer(Inferencer) - Method in class cc.mallet.grmm.learning.ACRF
 
setViterbiInferencer(Inferencer) - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
setWeight(double) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
The weight of GE term in the objective function.
setWeights(int, SparseVector) - Method in class cc.mallet.fst.CRF
 
setWeights(String, SparseVector) - Method in class cc.mallet.fst.CRF
 
setWeights(SparseVector[]) - Method in class cc.mallet.fst.CRF
 
setWeights(SparseVector[]) - Method in class cc.mallet.grmm.learning.ACRF.Template
 
setWeights() - Method in class cc.mallet.types.tests.TestInstanceListWeights
 
setWeightsDimensionAsIn(InstanceList) - Method in class cc.mallet.fst.CRF
 
setWeightsDimensionAsIn(InstanceList, boolean) - Method in class cc.mallet.fst.CRF
 
setWeightsDimensionDensely() - Method in class cc.mallet.fst.CRF
 
setWithAddend(ConstantMatrix, double) - Method in class cc.mallet.types.DenseMatrix
 
setWithAddend(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
 
setWithAddend(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
 
setWithFactor(ConstantMatrix, double) - Method in class cc.mallet.types.DenseMatrix
 
setWithFactor(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
 
setWithFactor(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
 
setWrongWrongIter(int) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
setWrongWrongThreshold(double) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
setWrongWrongType(int) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
SGML2TokenSequence - Class in cc.mallet.pipe
Converts a string containing simple SGML tags into a dta TokenSequence of words, paired with a target TokenSequence containing the SGML tags in effect for each word.
SGML2TokenSequence(CharSequenceLexer, String, boolean) - Constructor for class cc.mallet.pipe.SGML2TokenSequence
 
SGML2TokenSequence(CharSequenceLexer, String) - Constructor for class cc.mallet.pipe.SGML2TokenSequence
 
SGML2TokenSequence(String, String) - Constructor for class cc.mallet.pipe.SGML2TokenSequence
 
SGML2TokenSequence() - Constructor for class cc.mallet.pipe.SGML2TokenSequence
 
shallowClone() - Method in class cc.mallet.types.InstanceList
 
shallowClone() - Method in class cc.mallet.types.MultiInstanceList
 
shallowClone() - Method in class cc.mallet.types.PagedInstanceList
 
shallowCopy() - Method in class cc.mallet.cluster.Clustering
 
shallowCopy() - Method in class cc.mallet.types.Instance
 
ShallowTransducerTrainer - Class in cc.mallet.fst
Deprecated. Use NoopTransducerTrainer instead
ShallowTransducerTrainer(Transducer) - Constructor for class cc.mallet.fst.ShallowTransducerTrainer
Deprecated.  
shatterInstances(Clustering, int[]) - Static method in class cc.mallet.cluster.util.ClusterUtils
 
shouldContinue(TRP) - Method in class cc.mallet.grmm.inference.TRP.ConvergenceTerminator
 
shouldContinue(TRP) - Method in class cc.mallet.grmm.inference.TRP.DefaultConvergenceTerminator
 
shouldContinue(TRP) - Method in class cc.mallet.grmm.inference.TRP.IterationTerminator
 
shouldContinue(TRP) - Method in interface cc.mallet.grmm.inference.TRP.TerminationCondition
 
shouldDoEvaluate(int) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
showTopicsInterval - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
showTopicsInterval - Variable in class cc.mallet.topics.NPTopicModel
 
showTopicsInterval - Variable in class cc.mallet.topics.ParallelTopicModel
 
showTopicsInterval - Variable in class cc.mallet.topics.PolylingualTopicModel
 
showTopicsInterval - Variable in class cc.mallet.topics.SimpleLDA
 
shuffle(Random) - Method in class cc.mallet.types.InstanceList
 
shuffle(Random) - Method in class cc.mallet.types.MultiInstanceList
 
shutdown() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
shutdown() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByGE
Should be called after training is complete to shutdown all threads.
shutdown() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
shutdown() - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
shutdown() - Method in class cc.mallet.fst.ThreadedOptimizable
Shuts down the executor used to start and run threads to compute values and gradients.
sigma2vals(double) - Static method in class cc.mallet.grmm.types.BoltzmannPairFactor
 
sigmod(double) - Static method in class cc.mallet.util.Maths
 
sigmod_rev(double) - Static method in class cc.mallet.util.Maths
 
sign - Variable in class cc.mallet.types.LogNumber
 
SimilarTokensTemplate - Class in cc.mallet.grmm.learning.templates
Template for adding "skip edges" as in
SimilarTokensTemplate(int) - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
SimilarTokensTemplate(int, boolean) - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
SimilarTokensTemplate(int, boolean, boolean) - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
SimilarTokensTemplate(int, boolean, SimilarTokensTemplate.FeatureVectorBinner) - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
SimilarTokensTemplate(int, boolean, boolean, SimilarTokensTemplate.FeatureVectorBinner) - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate
 
SimilarTokensTemplate.CapWordsBinner - Class in cc.mallet.grmm.learning.templates
 
SimilarTokensTemplate.CapWordsBinner() - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate.CapWordsBinner
 
SimilarTokensTemplate.FeatureVectorBinner - Interface in cc.mallet.grmm.learning.templates
Interface for classes that ssigns each features vector to a String-valued bin.
SimilarTokensTemplate.WordFeatureBinner - Class in cc.mallet.grmm.learning.templates
 
SimilarTokensTemplate.WordFeatureBinner() - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate.WordFeatureBinner
 
SimilarTokensTemplate.WordFeatureBinner(Pattern) - Constructor for class cc.mallet.grmm.learning.templates.SimilarTokensTemplate.WordFeatureBinner
 
SimpleCrfExample - Class in cc.mallet.grmm.examples
$Id: SimpleCrfExample.java,v 1.1 2007/10/22 21:38:02 mccallum Exp $
SimpleCrfExample() - Constructor for class cc.mallet.grmm.examples.SimpleCrfExample
 
SimpleFactorExample - Class in cc.mallet.grmm.examples
A simple example to demonstrate the row-major indexing of potential values.
SimpleFactorExample() - Constructor for class cc.mallet.grmm.examples.SimpleFactorExample
 
SimpleFileLineIterator - Class in cc.mallet.pipe.iterator
 
SimpleFileLineIterator(String) - Constructor for class cc.mallet.pipe.iterator.SimpleFileLineIterator
 
SimpleFileLineIterator(File) - Constructor for class cc.mallet.pipe.iterator.SimpleFileLineIterator
 
SimpleGraphExample - Class in cc.mallet.grmm.examples
Created: Aug 13, 2004
SimpleGraphExample() - Constructor for class cc.mallet.grmm.examples.SimpleGraphExample
 
SimpleLDA - Class in cc.mallet.topics
A simple implementation of Latent Dirichlet Allocation using Gibbs sampling.
SimpleLDA(int) - Constructor for class cc.mallet.topics.SimpleLDA
 
SimpleLDA(int, double, double) - Constructor for class cc.mallet.topics.SimpleLDA
 
SimpleLDA(int, double, double, Randoms) - Constructor for class cc.mallet.topics.SimpleLDA
 
SimpleLDA(LabelAlphabet, double, double, Randoms) - Constructor for class cc.mallet.topics.SimpleLDA
 
SimpleTagger - Class in cc.mallet.fst
This class's main method trains, tests, or runs a generic CRF-based sequence tagger.
SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence - Class in cc.mallet.fst
Converts an external encoding of a sequence of elements with binary features to a FeatureVectorSequence.
SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence() - Constructor for class cc.mallet.fst.SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence
Creates a new SimpleTaggerSentence2FeatureVectorSequence instance.
SimpleTaggerSentence2StringTokenization - Class in cc.mallet.pipe
This extends SimpleTaggerSentence2TokenSequence to use {Slink StringTokenizations} for use with the extract package.
SimpleTaggerSentence2StringTokenization() - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2StringTokenization
Creates a new SimpleTaggerSentence2StringTokenization instance.
SimpleTaggerSentence2StringTokenization(boolean) - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2StringTokenization
creates a new SimpleTaggerSentence2StringTokenization instance which includes tokens as features iff the supplied argument is true.
SimpleTaggerSentence2TokenSequence - Class in cc.mallet.pipe
Converts an external encoding of a sequence of elements with binary features to a TokenSequence.
SimpleTaggerSentence2TokenSequence() - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
Creates a new SimpleTaggerSentence2TokenSequence instance.
SimpleTaggerSentence2TokenSequence(boolean) - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
creates a new SimpleTaggerSentence2TokenSequence instance which includes tokens as features iff the supplied argument is true.
SimpleTaggerWithConstraints - Class in cc.mallet.fst.semi_supervised.tui
Version of SimpleTagger that trains CRFs with expectation constraints rather than labeled data.
SimpleTokenizer - Class in cc.mallet.pipe
A simple unicode tokenizer that accepts sequences of letters as tokens.
SimpleTokenizer(int) - Constructor for class cc.mallet.pipe.SimpleTokenizer
 
SimpleTokenizer(File) - Constructor for class cc.mallet.pipe.SimpleTokenizer
 
SimpleTokenizer(HashSet<String>) - Constructor for class cc.mallet.pipe.SimpleTokenizer
 
singleIndex(int[]) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
singleIndex() - Method in class cc.mallet.grmm.types.Assignment
Converts this assignment into a unique integer.
singleIndex(int) - Method in class cc.mallet.grmm.types.Assignment
 
singleIndex(int[]) - Method in class cc.mallet.grmm.types.CPT
 
singleIndex(int[]) - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
singleIndex(int[]) - Method in interface cc.mallet.types.ConstantMatrix
 
singleIndex(int[]) - Method in class cc.mallet.types.DenseMatrix
 
singleIndex(int[]) - Method in class cc.mallet.types.DenseVector
 
singleIndex(int[]) - Method in class cc.mallet.types.Matrix2
Deprecated.  
singleIndex(int[]) - Method in class cc.mallet.types.Matrixn
 
singleIndex(int[], int[]) - Static method in class cc.mallet.types.Matrixn
 
singleIndex(int[]) - Method in class cc.mallet.types.SparseMatrixn
 
singleIndex(int[], int[]) - Static method in class cc.mallet.types.SparseMatrixn
 
singleIndex(int[]) - Method in class cc.mallet.types.SparseVector
 
SingleInstanceIterator - Class in cc.mallet.types
 
SingleInstanceIterator(Instance) - Constructor for class cc.mallet.types.SingleInstanceIterator
 
singleSize() - Method in class cc.mallet.types.AugmentableFeatureVector
 
singleSize() - Method in interface cc.mallet.types.ConstantMatrix
 
singleSize() - Method in class cc.mallet.types.DenseMatrix
 
singleSize() - Method in class cc.mallet.types.Matrix2
Deprecated.  
singleSize() - Method in class cc.mallet.types.SparseMatrixn
 
singleSize() - Method in class cc.mallet.types.SparseVector
 
singleToIndices(int, int[]) - Method in interface cc.mallet.types.ConstantMatrix
 
singleToIndices(int, int[]) - Method in class cc.mallet.types.DenseMatrix
 
singleToIndices(int, int[]) - Method in class cc.mallet.types.DenseVector
 
singleToIndices(int, int[]) - Method in class cc.mallet.types.Matrix2
Deprecated.  
singleToIndices(int, int[]) - Method in class cc.mallet.types.Matrixn
 
singleToIndices(int, int[], int[]) - Static method in class cc.mallet.types.Matrixn
Just a utility function for arbitrary-dimensional matrix dereferencing.
singleToIndices(int, int[]) - Method in class cc.mallet.types.SparseMatrixn
 
singleToIndices(int, int[]) - Method in class cc.mallet.types.SparseVector
 
singleValue(int) - Method in interface cc.mallet.types.ConstantMatrix
 
singleValue(int) - Method in class cc.mallet.types.DenseMatrix
 
singleValue(int) - Method in class cc.mallet.types.Matrix2
Deprecated.  
singleValue(int) - Method in class cc.mallet.types.SparseMatrixn
 
singleValue(int) - Method in class cc.mallet.types.SparseVector
 
size() - Method in class cc.mallet.classify.evaluate.Graph.Legend
 
size(int) - Method in class cc.mallet.cluster.Clustering
 
size() - Method in class cc.mallet.cluster.Clusterings
 
size() - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluators
 
size() - Method in class cc.mallet.extract.DocumentExtraction
 
size() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
size() - Method in class cc.mallet.fst.Segment
 
size() - Method in class cc.mallet.grmm.types.Assignment
 
size() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
size() - Method in class cc.mallet.grmm.types.BitVarSet
 
size() - Method in class cc.mallet.grmm.types.HashVarSet
 
size() - Method in class cc.mallet.grmm.types.ListVarSet
 
size() - Method in class cc.mallet.grmm.types.Universe
 
size() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
size() - Method in class cc.mallet.grmm.util.CSIntInt2ObjectMultiMap
 
size() - Method in class cc.mallet.grmm.util.MIntInt2ObjectMap
 
size() - Method in class cc.mallet.pipe.Array2FeatureVector
Current size of the Vocabulary
size() - Method in class cc.mallet.pipe.SerialPipes
 
size() - Method in class cc.mallet.types.Alphabet
 
size() - Method in class cc.mallet.types.ArraySequence
 
size() - Method in class cc.mallet.types.Dirichlet
 
size() - Method in class cc.mallet.types.FeatureConjunction.List
 
size() - Method in class cc.mallet.types.FeatureSequence
 
size() - Method in class cc.mallet.types.FeatureVectorSequence
 
size() - Method in class cc.mallet.types.Labels
 
size() - Method in class cc.mallet.types.LabelsSequence
 
size() - Method in class cc.mallet.types.MultiInstanceList
 
size() - Method in class cc.mallet.types.Multinomial.Estimator
 
size() - Method in class cc.mallet.types.Multinomial
 
size() - Method in class cc.mallet.types.PagedInstanceList
 
size() - Method in interface cc.mallet.types.Sequence
 
size() - Method in class cc.mallet.util.CommandOption.List
 
size() - Method in class cc.mallet.util.PropertyList
 
size() - Method in class cc.mallet.util.search.MinHeap
 
size() - Method in interface cc.mallet.util.search.PriorityQueue
The current size of the queue.
size() - Method in class cc.mallet.util.Univariate
 
sizeMatches(ConstantMatrix) - Method in class cc.mallet.types.Matrix2
Deprecated.  
sizeMatches(Matrix2) - Method in class cc.mallet.types.Matrix2
Deprecated.  
SkeletonFactor - Class in cc.mallet.grmm.types
A subclass of Factor in which all operations throw an UnsupportedOperationException.
SkeletonFactor() - Constructor for class cc.mallet.grmm.types.SkeletonFactor
 
skip - Static variable in class cc.mallet.share.weili.ner.enron.EnronMessage2TokenSequence
 
SKIP_HEADER - Static variable in class cc.mallet.pipe.CharSequenceReplace
 
SKIP_HEADER - Static variable in class cc.mallet.pipe.CharSubsequence
 
SKIP_SGML - Static variable in class cc.mallet.pipe.CharSequenceReplace
 
skiptestOldCrf() - Method in class cc.mallet.fst.tests.TestCRF
 
skipToBlankLine - Static variable in class cc.mallet.share.weili.ner.enron.EnronMessage2TokenSequence
 
SLEEP_TIME - Static variable in class cc.mallet.fst.ThreadedOptimizable
 
slice(Assignment) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Creates a new potential that is equal to this one, restricted to a given assignment.
slice(Assignment) - Method in class cc.mallet.grmm.types.Assignment
 
slice(Assignment) - Method in class cc.mallet.grmm.types.BetaFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.ConstantFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.CPT
 
slice(Assignment) - Method in interface cc.mallet.grmm.types.Factor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.FactorGraph
 
slice(Assignment, Map) - Method in class cc.mallet.grmm.types.FactorGraph
 
slice(Assignment) - Method in class cc.mallet.grmm.types.NormalFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.SkeletonFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.UniformFactor
 
slice(Assignment) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
slice_general(Variable[], Assignment) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
slice_general(Variable[], Assignment) - Method in class cc.mallet.grmm.types.LogTableFactor
 
slice_general(Variable[], Assignment) - Method in class cc.mallet.grmm.types.TableFactor
 
slice_onevar(Variable, Assignment) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
slice_onevar(Variable, Assignment) - Method in class cc.mallet.grmm.types.LogTableFactor
 
slice_onevar(Variable, Assignment) - Method in class cc.mallet.grmm.types.TableFactor
Creates a new potential from another by restricting it to a given assignment.
slice_twovar(Variable, Variable, Assignment) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
slice_twovar(Variable, Variable, Assignment) - Method in class cc.mallet.grmm.types.LogTableFactor
 
slice_twovar(Variable, Variable, Assignment) - Method in class cc.mallet.grmm.types.TableFactor
 
SliceLabelsSequence - Class in cc.mallet.grmm.util
* Created: Fri Jan 02 23:27:04 2004
SliceLabelsSequence(int) - Constructor for class cc.mallet.grmm.util.SliceLabelsSequence
 
sliceLabelsSequence(LabelsSequence, int) - Static method in class cc.mallet.grmm.util.SliceLabelsSequence
 
sliceLabelsSequence(LabelsSequence, LabelAlphabet, int) - Static method in class cc.mallet.grmm.util.SliceLabelsSequence
 
slicePipes(int) - Method in class cc.mallet.extract.CRFExtractor
Transfer some Pipes from the feature pipe to the tokenization pipe.
smoothingOnlyMass - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
smoothingOnlyMass - Variable in class cc.mallet.topics.MarginalProbEstimator
 
smoothingOnlyMass - Variable in class cc.mallet.topics.WorkerRunnable
 
solveWithBackSubstitution(double[], double[]) - Static method in class cc.mallet.util.MVNormal
This method returns x such that L'x = b.
solveWithForwardSubstitution(double[], double[]) - Static method in class cc.mallet.util.MVNormal
This method returns x such that Lx = b where L is lower triangular
someUnsupportedTrain(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
sort() - Method in class cc.mallet.util.Univariate
 
sortClassifications() - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
Sort classifications ArrayList by winner's value
sortedUnion(List, List) - Static method in class cc.mallet.util.CollectionUtils
 
sortIndices() - Method in class cc.mallet.types.AugmentableFeatureVector
 
sortIndices() - Method in class cc.mallet.types.SparseVector
 
sortInstances(InstanceList, int[], int) - Static method in class cc.mallet.types.GainRatio
 
source - Variable in class cc.mallet.types.Instance
 
SourceLocation2TokenSequence - Class in cc.mallet.pipe
Read from File or BufferedRead in the data field and produce a TokenSequence.
SourceLocation2TokenSequence(CharSequenceLexer) - Constructor for class cc.mallet.pipe.SourceLocation2TokenSequence
 
sourceNowHasNext(Iterator<Instance>) - Method in class cc.mallet.types.ChainedInstanceIterator
Deprecated. The "source" of this iterator sends this message to tell this iterator that, even though source.hasNext() may have returned false before, it would now return true.
spacePipeOutput - Static variable in class cc.mallet.pipe.tests.TestSpacePipe
 
span(int) - Method in class cc.mallet.extract.Field
 
Span - Interface in cc.mallet.extract
A sub-section of a document, either linear or two-dimensional.
SparseMatrixn - Class in cc.mallet.types
Implementation of Matrix that allows arbitrary number of dimensions.
SparseMatrixn(double[]) - Constructor for class cc.mallet.types.SparseMatrixn
Create a 1-d dense matrix with the given values.
SparseMatrixn(int[]) - Constructor for class cc.mallet.types.SparseMatrixn
Create a dense matrix with the given dimensions.
SparseMatrixn(int[], double[]) - Constructor for class cc.mallet.types.SparseMatrixn
 
SparseMatrixn(int[], int[], double[]) - Constructor for class cc.mallet.types.SparseMatrixn
Create a sparse matrix with the given dimensions and the given values.
SparseMessageSender - Class in cc.mallet.grmm.inference.gbp
Created: Jun 1, 2005
SparseMessageSender(double) - Constructor for class cc.mallet.grmm.inference.gbp.SparseMessageSender
 
SparseVector - Class in cc.mallet.types
A vector that allocates memory only for non-zero values.
SparseVector(int[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
If "indices" is null, the vector will be dense.
SparseVector(double[], boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(double[]) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int, double) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], double[], boolean, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], double[]) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], double[], boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], double[], boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], boolean, boolean, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[], boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(int[]) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector() - Constructor for class cc.mallet.types.SparseVector
An empty vector, with all zero values
SparseVector(Alphabet, PropertyList, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
 
SparseVector(Alphabet, PropertyList, boolean) - Constructor for class cc.mallet.types.SparseVector
 
split() - Method in class cc.mallet.classify.C45.Node
 
split(FeatureSelection) - Method in class cc.mallet.classify.DecisionTree.Node
 
split(Random, double[]) - Method in class cc.mallet.types.InstanceList
Shuffles the elements of this list among several smaller lists.
split(double[]) - Method in class cc.mallet.types.InstanceList
 
split(double[]) - Method in class cc.mallet.types.MultiInstanceList
 
split(Random, double[]) - Method in class cc.mallet.types.MultiInstanceList
 
split(Random, double[]) - Method in class cc.mallet.types.PagedInstanceList
Shuffles the elements of this list among several smaller lists.
splitInOrder(double[]) - Method in class cc.mallet.types.InstanceList
Chops this list into several sequential sublists.
splitInOrder(int[]) - Method in class cc.mallet.types.InstanceList
 
splitInOrder(double[]) - Method in class cc.mallet.types.MultiInstanceList
 
splitInOrder(int[]) - Method in class cc.mallet.types.MultiInstanceList
 
splitInTwoByModulo(int) - Method in class cc.mallet.types.InstanceList
Returns a pair of new lists such that the first list in the pair contains every mth element of this list, starting with the first.
splitInTwoByModulo(int) - Method in class cc.mallet.types.MultiInstanceList
 
splitTree(C45.Node, int) - Method in class cc.mallet.classify.C45Trainer
 
splitTree(DecisionTree.Node, FeatureSelection, int) - Method in class cc.mallet.classify.DecisionTreeTrainer
 
sqrt() - Static method in class cc.mallet.grmm.util.Flops
 
squaredDifference(Dirichlet) - Method in class cc.mallet.types.Dirichlet
Compute the L2 residual between two dirichlets
START_LABEL - Static variable in class cc.mallet.fst.semi_supervised.StateLabelMap
 
startGrowth() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
startGrowth() - Method in class cc.mallet.types.Alphabet
 
STARTING_DIRECTORIES - Static variable in class cc.mallet.pipe.iterator.FileIterator
 
STARTING_DIRECTORIES - Static variable in class cc.mallet.pipe.iterator.FileListIterator
Use as label names the directories of the given files, optionally removing common prefix of all starting directories
STARTING_DIRECTORIES - Static variable in class cc.mallet.pipe.iterator.UnlabeledFileIterator
Use as label names the directories specified in the constructor, optionally removing common prefix of all starting directories
state - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice.LatticeNode
 
stateFilename - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
stateFilename - Variable in class cc.mallet.topics.ParallelTopicModel
 
stateFilename - Variable in class cc.mallet.topics.PolylingualTopicModel
 
stateIndexOfString(String) - Method in class cc.mallet.fst.Transducer
Returns the index of the input state name, returns -1 if name not found.
StateLabelMap - Class in cc.mallet.fst.semi_supervised
Maps states in the lattice to labels.
StateLabelMap(Alphabet, boolean) - Constructor for class cc.mallet.fst.semi_supervised.StateLabelMap
 
StateLabelMap(Alphabet, boolean, int) - Constructor for class cc.mallet.fst.semi_supervised.StateLabelMap
Initializes the state and label maps.
states - Variable in class cc.mallet.fst.CRF
 
stateTopics() - Method in class cc.mallet.topics.MultinomialHMM
 
stateTransitionMatrix() - Method in class cc.mallet.topics.MultinomialHMM
 
StatFunctions - Class in cc.mallet.util
 
StatFunctions() - Constructor for class cc.mallet.util.StatFunctions
 
stddev(double[]) - Static method in class cc.mallet.types.MatrixOps
Return the standard deviation
stddev(InstanceList, SparseVector, boolean) - Static method in class cc.mallet.util.VectorStats
Square root of variance.
stddev(InstanceList) - Static method in class cc.mallet.util.VectorStats
Square root of unbiased variance.
stddev(InstanceList, boolean) - Static method in class cc.mallet.util.VectorStats
Square root of variance.
stddev(InstanceList, SparseVector) - Static method in class cc.mallet.util.VectorStats
Square root of unbiased variance of instances having the given mean
stderr(double[]) - Static method in class cc.mallet.types.MatrixOps
 
stdev() - Method in class cc.mallet.util.Univariate
 
StochasticMetaAscent - Class in cc.mallet.optimize
 
StochasticMetaAscent(Optimizable.ByBatchGradient) - Constructor for class cc.mallet.optimize.StochasticMetaAscent
 
stop(String) - Method in class cc.mallet.pipe.SimpleTokenizer
 
stopGrowth() - Method in class cc.mallet.classify.C45.Node
Saves memory by allowing ilist to be garbage collected (deletes this node's associated instance list)
stopGrowth() - Method in class cc.mallet.classify.DecisionTree.Node
 
stopGrowth() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
stopGrowth() - Method in class cc.mallet.types.Alphabet
 
stoplist - Variable in class cc.mallet.pipe.SimpleTokenizer
 
stoppingThreshold - Variable in class cc.mallet.cluster.GreedyAgglomerative
Converged when merge score is below this value.
string2ints(String[], Alphabet) - Static method in class cc.mallet.cluster.tui.Clusterings2Clusterer
 
StringAddNewLineDelimiter - Class in cc.mallet.pipe
Pipe that can adds special text between lines to explicitly represent line breaks.
StringAddNewLineDelimiter(String) - Constructor for class cc.mallet.pipe.StringAddNewLineDelimiter
 
stringArray2FileArray(String[]) - Static method in class cc.mallet.pipe.iterator.FileIterator
 
stringArray2FileArray(String[]) - Static method in class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
StringArrayIterator - Class in cc.mallet.pipe.iterator
 
StringArrayIterator(String[]) - Constructor for class cc.mallet.pipe.iterator.StringArrayIterator
 
StringEditFeatureVectorSequence - Class in cc.mallet.types
 
StringEditFeatureVectorSequence(FeatureVector[], String, String) - Constructor for class cc.mallet.types.StringEditFeatureVectorSequence
 
StringEditFeatureVectorSequence(FeatureVector[], String, String, char) - Constructor for class cc.mallet.types.StringEditFeatureVectorSequence
 
StringEditFeatureVectorSequence(FeatureVector[], String, String, HashMap) - Constructor for class cc.mallet.types.StringEditFeatureVectorSequence
 
StringEditFeatureVectorSequence(FeatureVector[], String, String, char, HashMap) - Constructor for class cc.mallet.types.StringEditFeatureVectorSequence
 
StringEditVector - Class in cc.mallet.types
 
StringEditVector(String) - Constructor for class cc.mallet.types.StringEditVector
 
StringEditVector() - Constructor for class cc.mallet.types.StringEditVector
 
StringKernel - Class in cc.mallet.types
Computes a similarity metric between two strings, based on counts of common subsequences of characters.
StringKernel(boolean, double, int, boolean) - Constructor for class cc.mallet.types.StringKernel
 
StringKernel() - Constructor for class cc.mallet.types.StringKernel
 
StringKernel(boolean, double, int) - Constructor for class cc.mallet.types.StringKernel
 
StringList2FeatureSequence - Class in cc.mallet.pipe
Convert a list of strings into a feature sequence
StringList2FeatureSequence(Alphabet) - Constructor for class cc.mallet.pipe.StringList2FeatureSequence
 
StringList2FeatureSequence() - Constructor for class cc.mallet.pipe.StringList2FeatureSequence
 
Strings - Class in cc.mallet.util
Static utility methods for Strings
Strings() - Constructor for class cc.mallet.util.Strings
 
StringSpan - Class in cc.mallet.extract
A sub-section of a linear string.
StringSpan(CharSequence, int, int) - Constructor for class cc.mallet.extract.StringSpan
 
StringTokenization - Class in cc.mallet.extract
 
StringTokenization(CharSequence) - Constructor for class cc.mallet.extract.StringTokenization
Create an empty StringTokenization
StringTokenization(CharSequence, CharSequenceLexer) - Constructor for class cc.mallet.extract.StringTokenization
Creates a tokenization of the given string.
structureMatches(CRF.Factors) - Method in class cc.mallet.fst.CRF.Factors
 
SUB_TOPIC - Static variable in class cc.mallet.topics.HierarchicalPAM
 
subAssn(int, int) - Method in class cc.mallet.grmm.types.Assignment
 
subList(int, int) - Method in class cc.mallet.types.InstanceList
 
subList(double) - Method in class cc.mallet.types.InstanceList
 
subList(double) - Method in class cc.mallet.types.MultiInstanceList
 
subList(int, int) - Method in class cc.mallet.types.MultiInstanceList
 
subset(Collection, int, Random) - Static method in class cc.mallet.util.CollectionUtils
 
subset(int[]) - Method in class cc.mallet.util.Univariate
 
subspan(int, int) - Method in class cc.mallet.extract.DocumentExtraction
 
subspan(int, int) - Method in class cc.mallet.extract.StringTokenization
 
subspan(int, int) - Method in interface cc.mallet.extract.Tokenization
Returns a span formed by concatenating the spans from start to end.
substitute(double, double) - Method in class cc.mallet.types.DenseMatrix
 
substitute(double[], double, double) - Static method in class cc.mallet.types.MatrixOps
 
subtractLogProb(double, double) - Static method in class cc.mallet.util.Maths
Returns the difference of two doubles expressed in log space, that is,
suite() - Static method in class cc.mallet.classify.tests.TestClassifiers
 
suite() - Static method in class cc.mallet.classify.tests.TestMaxEntTrainer
 
suite() - Static method in class cc.mallet.classify.tests.TestStaticParameters
 
suite() - Static method in class cc.mallet.cluster.evaluate.tests.TestClusteringEvaluators
 
suite() - Static method in class cc.mallet.cluster.iterator.tests.TestIterators
 
suite() - Static method in class cc.mallet.extract.test.TestDocumentExtraction
 
suite() - Static method in class cc.mallet.extract.test.TestDocumentViewer
 
suite() - Static method in class cc.mallet.extract.test.TestLatticeViewer
 
suite() - Static method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
suite() - Static method in class cc.mallet.fst.tests.TestCRF
 
suite() - Static method in class cc.mallet.fst.tests.TestFeatureTransducer
 
suite() - Static method in class cc.mallet.fst.tests.TestMEMM
 
suite() - Static method in class cc.mallet.fst.tests.TestSumNegLogProb2
 
suite() - Static method in class cc.mallet.grmm.test.TestAbstractBeliefPropagation
 
suite() - Static method in class cc.mallet.grmm.test.TestAssignment
 
suite() - Static method in class cc.mallet.grmm.test.TestAssignmentIterator
 
suite() - Static method in class cc.mallet.grmm.test.TestBetaFactor
 
suite() - Static method in class cc.mallet.grmm.test.TestBitVarSet
 
suite() - Static method in class cc.mallet.grmm.test.TestDirectedModel
 
suite() - Static method in class cc.mallet.grmm.test.TestFactorGraph
 
suite() - Static method in class cc.mallet.grmm.test.TestFactors
 
suite() - Static method in class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
suite() - Static method in class cc.mallet.grmm.test.TestGibbsSampler
 
suite() - Static method in class cc.mallet.grmm.test.TestHashClique
 
suite() - Static method in class cc.mallet.grmm.test.TestInference
 
suite() - Static method in class cc.mallet.grmm.test.TestListVarSet
 
suite() - Static method in class cc.mallet.grmm.test.TestLogTableFactor
 
suite() - Static method in class cc.mallet.grmm.test.TestMIntInt2ObjectMap
 
suite() - Static method in class cc.mallet.grmm.test.TestNormalFactor
 
suite() - Static method in class cc.mallet.grmm.test.TestPottsFactor
 
suite() - Static method in class cc.mallet.grmm.test.TestRandomGraphs
 
suite() - Static method in class cc.mallet.grmm.test.TestTableFactor
 
suite() - Static method in class cc.mallet.grmm.test.TestTRP
 
suite() - Static method in class cc.mallet.grmm.test.TestUndirectedModel
 
suite() - Static method in class cc.mallet.grmm.test.TestUniformFactor
 
suite() - Static method in class cc.mallet.grmm.test.TestUniNormalFactor
 
suite() - Static method in class cc.mallet.optimize.tests.TestOptimizable
 
suite() - Static method in class cc.mallet.optimize.tests.TestOptimizer
 
suite() - Static method in class cc.mallet.pipe.iterator.tests.TestPatternMatchIterator
 
suite() - Static method in class cc.mallet.pipe.tests.TestInstancePipe
 
suite() - Static method in class cc.mallet.pipe.tests.TestIterators
 
suite() - Static method in class cc.mallet.pipe.tests.TestPipeUtils
 
suite() - Static method in class cc.mallet.pipe.tests.TestRainbowStyle
 
suite() - Static method in class cc.mallet.pipe.tests.TestSGML2TokenSequence
 
suite() - Static method in class cc.mallet.pipe.tests.TestSpacePipe
 
suite() - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetConjunctions
 
suite() - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
 
suite() - Static method in class cc.mallet.pipe.tsf.tests.TestSequencePrintingPipe
 
suite() - Static method in class cc.mallet.types.tests.TestAlphabet
 
suite() - Static method in class cc.mallet.types.tests.TestAugmentableFeatureVector
 
suite() - Static method in class cc.mallet.types.tests.TestFeatureSequence
 
suite() - Static method in class cc.mallet.types.tests.TestFeatureVector
 
suite() - Static method in class cc.mallet.types.tests.TestHashedSparseVector
 
suite() - Static method in class cc.mallet.types.tests.TestIndexedSparseVector
 
suite() - Static method in class cc.mallet.types.tests.TestLabelAlphabet
 
suite() - Static method in class cc.mallet.types.tests.TestLabelsSequence
 
suite() - Static method in class cc.mallet.types.tests.TestLabelVector
 
suite() - Static method in class cc.mallet.types.tests.TestMatrix
 
suite() - Static method in class cc.mallet.types.tests.TestMatrixn
 
suite() - Static method in class cc.mallet.types.tests.TestMultinomial
 
suite() - Static method in class cc.mallet.types.tests.TestPagedInstanceList
 
suite() - Static method in class cc.mallet.types.tests.TestRankedFeatureVector
 
suite() - Static method in class cc.mallet.types.tests.TestSerializable
 
suite() - Static method in class cc.mallet.types.tests.TestSparseMatrixn
 
suite() - Static method in class cc.mallet.types.tests.TestSparseVector
 
suite() - Static method in class cc.mallet.types.tests.TestToken
 
suite() - Static method in class cc.mallet.util.tests.TestAStar
 
suite() - Static method in class cc.mallet.util.tests.TestMaths
 
suite() - Static method in class cc.mallet.util.tests.TestPriorityQueue
 
suite() - Static method in class cc.mallet.util.tests.TestPropertyList
 
suite() - Static method in class cc.mallet.util.tests.TestRandom
 
suite() - Static method in class cc.mallet.util.tests.TestStrings
 
sum() - Method in class cc.mallet.grmm.types.AbstractFactor
 
sum() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
sum() - Method in class cc.mallet.grmm.types.CPT
 
sum() - Method in interface cc.mallet.grmm.types.Factor
Returns the sum of this potential over all cases.
sum() - Method in class cc.mallet.grmm.types.FactorGraph
 
sum() - Method in class cc.mallet.grmm.types.LogTableFactor
 
sum() - Method in class cc.mallet.grmm.types.TableFactor
 
sum(double[]) - Static method in class cc.mallet.types.DenseVector
 
sum(double[]) - Static method in class cc.mallet.types.MatrixOps
 
sum(double[][]) - Static method in class cc.mallet.types.MatrixOps
 
sum(int[]) - Static method in class cc.mallet.types.MatrixOps
 
sum(Vector) - Static method in class cc.mallet.types.MatrixOps
 
sumDuplicateKeyValues(PropertyList) - Static method in class cc.mallet.util.PropertyList
 
sumDuplicateKeyValues(PropertyList, boolean) - Static method in class cc.mallet.util.PropertyList
 
sumGradLog(Factor, Variable, Assignment) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
sumGradLog(Factor, Variable, Assignment) - Method in interface cc.mallet.grmm.types.ParameterizedFactor
Computes the expected derivative of the log factor value.
sumGradLog(Factor, Variable, Assignment) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
SumLattice - Interface in cc.mallet.fst
Interface to perform forward-backward during training of a transducer.
SumLatticeBeam - Class in cc.mallet.fst
 
SumLatticeBeam(Transducer, Sequence, Sequence, Transducer.Incrementor) - Constructor for class cc.mallet.fst.SumLatticeBeam
 
SumLatticeBeam(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean) - Constructor for class cc.mallet.fst.SumLatticeBeam
 
SumLatticeBeam(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeBeam
 
SumLatticeBeam(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet, int[]) - Constructor for class cc.mallet.fst.SumLatticeBeam
Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.
SumLatticeBeam.Factory - Class in cc.mallet.fst
 
SumLatticeBeam.Factory(int) - Constructor for class cc.mallet.fst.SumLatticeBeam.Factory
 
SumLatticeConstrained - Class in cc.mallet.fst
 
SumLatticeConstrained(Transducer, Sequence, Sequence, Segment, Sequence) - Constructor for class cc.mallet.fst.SumLatticeConstrained
 
SumLatticeConstrained(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet, int[]) - Constructor for class cc.mallet.fst.SumLatticeConstrained
Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.
SumLatticeDefault - Class in cc.mallet.fst
Default, full dynamic programming implementation of the Forward-Backward "Sum-(Product)-Lattice" algorithm
SumLatticeDefault() - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, boolean) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, Transducer.Incrementor) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, Sequence) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, Sequence, Transducer.Incrementor) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeDefault
 
SumLatticeDefault.Factory - Class in cc.mallet.fst
 
SumLatticeDefault.Factory() - Constructor for class cc.mallet.fst.SumLatticeDefault.Factory
 
SumLatticeDefault.LatticeNode - Class in cc.mallet.fst
 
SumLatticeDefaultCachedDot - Class in cc.mallet.fst.semi_supervised.pr
Default, full dynamic programming implementation of the Forward-Backward "Sum-(Product)-Lattice" algorithm
SumLatticeDefaultCachedDot() - Constructor for class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
SumLatticeDefaultCachedDot(Transducer, Sequence, Sequence, double[][][], Transducer.Incrementor, boolean, LabelAlphabet) - Constructor for class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
 
SumLatticeDefaultCachedDot.LatticeNode - Class in cc.mallet.fst.semi_supervised.pr
 
SumLatticeFactory - Class in cc.mallet.fst
Provides factory methods to create inference engine for training a transducer.
SumLatticeFactory() - Constructor for class cc.mallet.fst.SumLatticeFactory
 
SumLatticeKL - Class in cc.mallet.fst.semi_supervised.pr
Lattice for M-step/M-projection in PR.
SumLatticeKL() - Constructor for class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
SumLatticeKL(Transducer, Sequence, double[], double[], double[][][], double[][][], Transducer.Incrementor) - Constructor for class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
 
SumLatticePR - Class in cc.mallet.fst.semi_supervised.pr
Lattice for E-step/I-projection in PR.
SumLatticePR(Transducer, int, Sequence, Sequence, PRAuxiliaryModel, double[][][], boolean, Transducer.Incrementor, LabelAlphabet, boolean) - Constructor for class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
SumLatticePR.LatticeNode - Class in cc.mallet.fst.semi_supervised.pr
 
SumLatticeScaling - Class in cc.mallet.fst
 
SumLatticeScaling() - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, boolean) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, Transducer.Incrementor) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, Sequence) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, Sequence, Transducer.Incrementor) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeScaling
 
SumLatticeScaling.Factory - Class in cc.mallet.fst
 
SumLatticeScaling.Factory() - Constructor for class cc.mallet.fst.SumLatticeScaling.Factory
 
SumLatticeScaling.LatticeNode - Class in cc.mallet.fst
 
sumLogProb(double, double) - Static method in class cc.mallet.fst.Transducer
Returns Math.log(Math.exp(a) + Math.exp(b)).
sumLogProb(int) - Static method in class cc.mallet.grmm.util.Flops
 
sumLogProb(double, double) - Static method in class cc.mallet.util.Maths
Returns the sum of two doubles expressed in log space, that is,
sumLogProb(double[]) - Static method in class cc.mallet.util.Maths
Sums an array of numbers log(x1)...log(xn).
summary() - Method in class cc.mallet.util.Univariate
 
sumTypeTopicCounts(WorkerRunnable[]) - Method in class cc.mallet.topics.ParallelTopicModel
 
SUPER_TOPIC - Static variable in class cc.mallet.topics.HierarchicalPAM
 
SvmLight2Classify - Class in cc.mallet.classify.tui
Command line tool for classifying a sequence of instances directly from text input, without creating an instance list.
SvmLight2Classify() - Constructor for class cc.mallet.classify.tui.SvmLight2Classify
 
SvmLight2FeatureVectorAndLabel - Class in cc.mallet.pipe
This Pipe converts a line in SVMLight format to a Mallet instance with FeatureVector data and Label target.
SvmLight2FeatureVectorAndLabel() - Constructor for class cc.mallet.pipe.SvmLight2FeatureVectorAndLabel
 
SvmLight2Vectors - Class in cc.mallet.classify.tui
Command line import tool for loading a sequence of instances from an SVMLight feature-value pair file, with one instance per line of the input file.
SvmLight2Vectors() - Constructor for class cc.mallet.classify.tui.SvmLight2Vectors
 

T

t - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
TableFactor - Class in cc.mallet.grmm.types
Created: Jan 4, 2006
TableFactor(Variable) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(Variable, double[]) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor() - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(BidirectionalIntObjectMap) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(Variable[]) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(Collection) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(Variable[], double[]) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(VarSet, double[]) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(Variable[], Matrix) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(AbstractTableFactor) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(VarSet, Matrix) - Constructor for class cc.mallet.grmm.types.TableFactor
 
TableFactor(AbstractTableFactor, double[]) - Constructor for class cc.mallet.grmm.types.TableFactor
 
tanh(double) - Static method in class cc.mallet.util.Maths
 
target - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
target - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
target - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
target - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
 
target - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
 
target - Variable in class cc.mallet.types.Instance
 
Target2BIOFormat - Class in cc.mallet.pipe.tsf
Creates a LabelSequence out of a TokenSequence that is the target of an Instance.
Target2BIOFormat() - Constructor for class cc.mallet.pipe.tsf.Target2BIOFormat
 
Target2BIOFormat(String) - Constructor for class cc.mallet.pipe.tsf.Target2BIOFormat
 
Target2FeatureSequence - Class in cc.mallet.pipe
Convert a token sequence in the target field into a feature sequence in the target field.
Target2FeatureSequence() - Constructor for class cc.mallet.pipe.Target2FeatureSequence
 
Target2Label - Class in cc.mallet.pipe
Convert object in the target field into a label in the target field.
Target2Label(Alphabet, LabelAlphabet) - Constructor for class cc.mallet.pipe.Target2Label
 
Target2Label() - Constructor for class cc.mallet.pipe.Target2Label
 
Target2Label(LabelAlphabet) - Constructor for class cc.mallet.pipe.Target2Label
 
Target2LabelSequence - Class in cc.mallet.pipe
convert a token sequence in the target field into a label sequence in the target field.
Target2LabelSequence() - Constructor for class cc.mallet.pipe.Target2LabelSequence
 
TARGET_PROPERTY - Static variable in class cc.mallet.types.InstanceList
 
targetLabelDistribution() - Method in class cc.mallet.types.InstanceList
 
TargetRememberLastLabel - Class in cc.mallet.pipe
For each position in the target, remember the last non-background label.
TargetRememberLastLabel() - Constructor for class cc.mallet.pipe.TargetRememberLastLabel
 
TargetRememberLastLabel(String, boolean) - Constructor for class cc.mallet.pipe.TargetRememberLastLabel
offset determines how the memory and base sequences will be aligned.
targets - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
targets - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
TargetStringToFeatures - Class in cc.mallet.pipe
 
TargetStringToFeatures() - Constructor for class cc.mallet.pipe.TargetStringToFeatures
 
temperAlpha(WorkerRunnable[]) - Method in class cc.mallet.topics.ParallelTopicModel
 
temperature - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
temperingInterval - Variable in class cc.mallet.topics.ParallelTopicModel
 
test(TransducerTrainer, TransducerEvaluator, InstanceList) - Static method in class cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints
Test a transducer on the given test data, evaluating accuracy with the given evaluator
test(TransducerTrainer, TransducerEvaluator, InstanceList) - Static method in class cc.mallet.fst.SimpleTagger
Test a transducer on the given test data, evaluating accuracy with the given evaluator
test(InstanceList, List, String) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
test(ACRF, InstanceList, String) - Method in class cc.mallet.grmm.learning.ACRFEvaluator
 
test(InstanceList, List, String) - Method in class cc.mallet.grmm.learning.AcrfSerialEvaluator
 
test(InstanceList, List, String) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.FileEvaluator
 
test(InstanceList, List, String) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer.LogEvaluator
 
test(ACRF, InstanceList, ACRFEvaluator) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
test(ACRF, InstanceList, ACRFEvaluator[]) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
test(InstanceList, List, String) - Method in class cc.mallet.grmm.learning.MultiSegmentationEvaluatorACRF
 
test(Classifier, String[][], String[]) - Static method in class cc.mallet.share.upenn.MaxEntShell
Test a maxent classifier.
test(Classifier, Iterator<Instance>) - Static method in class cc.mallet.share.upenn.MaxEntShell
Test a maxent classifier.
test - Variable in class cc.mallet.topics.LDAStream
 
TestAbstractBeliefPropagation - Class in cc.mallet.grmm.test
$Id: TestAbstractBeliefPropagation.java,v 1.1 2007/10/22 21:37:40 mccallum Exp $
TestAbstractBeliefPropagation(String) - Constructor for class cc.mallet.grmm.test.TestAbstractBeliefPropagation
 
testAddAllOrdering() - Method in class cc.mallet.grmm.test.TestBitVarSet
 
testAddAllOrdering() - Method in class cc.mallet.grmm.test.TestHashClique
 
testAddAllOrdering() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testAddAllOrdering2() - Method in class cc.mallet.grmm.test.TestBitVarSet
 
testAddAllOrdering2() - Method in class cc.mallet.grmm.test.TestHashClique
 
testAddAllOrdering2() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testAddAllOrdering3() - Method in class cc.mallet.grmm.test.TestBitVarSet
 
testAddAllOrdering3() - Method in class cc.mallet.grmm.test.TestHashClique
 
testAddAllOrdering3() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testAddOrderNStates() - Method in class cc.mallet.fst.tests.TestCRF
 
testAddRowMixed() - Method in class cc.mallet.grmm.test.TestAssignment
 
testAddWithPrefix() - Method in class cc.mallet.types.tests.TestAugmentableFeatureVector
 
testAllFactorsOf() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testAllFactorsOf2() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
TestAlphabet - Class in cc.mallet.types.tests
Created: Nov 24, 2004
TestAlphabet(String) - Constructor for class cc.mallet.types.tests.TestAlphabet
 
testAscending() - Method in class cc.mallet.util.tests.TestPriorityQueue
 
testAsJava() - Static method in class cc.mallet.util.tests.TestRandom
 
TestAssignment - Class in cc.mallet.grmm.test
Created: Aug 11, 2004
TestAssignment(String) - Constructor for class cc.mallet.grmm.test.TestAssignment
Constructs a test case with the given name.
TestAssignmentIterator - Class in cc.mallet.grmm.test
Created: Aug 11, 2004
TestAssignmentIterator(String) - Constructor for class cc.mallet.grmm.test.TestAssignmentIterator
Constructs a test case with the given name.
testAsTable() - Method in class cc.mallet.grmm.test.TestAssignment
 
testAsTable() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testAsTable2() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
TestAStar - Class in cc.mallet.util.tests
Created by IntelliJ IDEA.
TestAStar(String) - Constructor for class cc.mallet.util.tests.TestAStar
 
testAttractiveGraphs() - Method in class cc.mallet.grmm.test.TestRandomGraphs
 
TestAugmentableFeatureVector - Class in cc.mallet.types.tests
Created: Dec 30, 2004
TestAugmentableFeatureVector(String) - Constructor for class cc.mallet.types.tests.TestAugmentableFeatureVector
 
testBadVariable() - Method in class cc.mallet.grmm.test.TestAbstractBeliefPropagation
 
testBeliefPropagation() - Method in class cc.mallet.grmm.test.TestInference
 
TestBetaFactor - Class in cc.mallet.grmm.test
$Id: TestBetaFactor.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
TestBetaFactor(String) - Constructor for class cc.mallet.grmm.test.TestBetaFactor
 
testBinaryVector() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testBinaryVector() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testBinaryVector() - Method in class cc.mallet.types.tests.TestSparseVector
 
TestBitVarSet - Class in cc.mallet.grmm.test
Created: Aug 22, 2005
TestBitVarSet(String) - Constructor for class cc.mallet.grmm.test.TestBitVarSet
 
testBpJoint() - Method in class cc.mallet.grmm.test.TestInference
 
testBpLargeModels() - Method in class cc.mallet.grmm.test.TestInference
 
testCacheExpanding() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testChangePriority() - Method in class cc.mallet.util.tests.TestPriorityQueue
 
testCholesky() - Static method in class cc.mallet.util.MVNormal
 
TestClassifiers - Class in cc.mallet.classify.tests
 
TestClassifiers(String) - Constructor for class cc.mallet.classify.tests.TestClassifiers
 
testClear() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testCloneMatrixZeroed() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testCloneMatrixZeroed() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testCloneMatrixZeroed() - Method in class cc.mallet.types.tests.TestSparseVector
 
TestClusteringEvaluators - Class in cc.mallet.cluster.evaluate.tests
Examples drawn from Luo, "On Coreference Resolution Performance Metrics", HLT 2005.
TestClusteringEvaluators(String) - Constructor for class cc.mallet.cluster.evaluate.tests.TestClusteringEvaluators
 
testConcatenateBadPipes() - Method in class cc.mallet.pipe.tests.TestPipeUtils
 
testConcatenateNullPipes() - Method in class cc.mallet.pipe.tests.TestPipeUtils
 
testConcatenatePipes() - Method in class cc.mallet.pipe.tests.TestPipeUtils
 
testConjugateGradient() - Method in class cc.mallet.optimize.tests.TestOptimizer
 
testContains() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testContinousSample() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testContinousSample2() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testCopyStatesAndWeights() - Method in class cc.mallet.fst.tests.TestCRF
 
testCorr() - Method in class cc.mallet.grmm.test.TestFactors
 
testCost() - Method in class cc.mallet.fst.tests.TestCRF
 
testCostSerialized() - Method in class cc.mallet.fst.tests.TestCRF
 
testCount() - Static method in class cc.mallet.util.tests.TestStrings
 
testCptOfVar() - Method in class cc.mallet.grmm.test.TestDirectedModel
 
TestCRF - Class in cc.mallet.fst.tests
Tests for CRF training.
TestCRF(String) - Constructor for class cc.mallet.fst.tests.TestCRF
 
TestCRF.TestCRF2String - Class in cc.mallet.fst.tests
 
TestCRF.TestCRF2String() - Constructor for class cc.mallet.fst.tests.TestCRF.TestCRF2String
 
TestCRF.TestCRFTokenSequenceRemoveSpaces - Class in cc.mallet.fst.tests
 
TestCRF.TestCRFTokenSequenceRemoveSpaces() - Constructor for class cc.mallet.fst.tests.TestCRF.TestCRFTokenSequenceRemoveSpaces
 
TestCRFPipe - Class in cc.mallet.examples
 
TestCRFPipe(String) - Constructor for class cc.mallet.examples.TestCRFPipe
 
testCycleChecking() - Method in class cc.mallet.grmm.test.TestDirectedModel
 
testDefaultLookupMarginal() - Method in class cc.mallet.grmm.test.TestInference
 
testDenseFeatureSelection() - Method in class cc.mallet.fst.tests.TestCRF
 
testDenseSerialization() - Method in class cc.mallet.fst.tests.TestCRF
 
testDenseSparseVector() - Method in class cc.mallet.types.tests.TestSparseVector
 
testDenseTrain() - Method in class cc.mallet.fst.tests.TestCRF
 
testDescending() - Method in class cc.mallet.util.tests.TestPriorityQueue
 
testDestructiveAssignment() - Method in class cc.mallet.grmm.test.TestInference
 
testDirectedJt() - Method in class cc.mallet.grmm.test.TestInference
 
TestDirectedModel - Class in cc.mallet.grmm.test
Created: Mar 28, 2005
TestDirectedModel(String) - Constructor for class cc.mallet.grmm.test.TestDirectedModel
 
testDisconnectedModel() - Method in class cc.mallet.grmm.test.TestInference
 
testDivideByLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
TestDocumentExtraction - Class in cc.mallet.extract.test
Created: Oct 12, 2004
TestDocumentExtraction(String) - Constructor for class cc.mallet.extract.test.TestDocumentExtraction
 
TestDocumentViewer - Class in cc.mallet.extract.test
Created: Mar 30, 2005
TestDocumentViewer(String) - Constructor for class cc.mallet.extract.test.TestDocumentViewer
 
testDotProduct() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testDotProduct() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testDotProduct() - Method in class cc.mallet.types.tests.TestSparseVector
 
testDotProductBinaryToSV() - Method in class cc.mallet.types.tests.TestAugmentableFeatureVector
 
testDotProductSparseASVToSV() - Method in class cc.mallet.types.tests.TestAugmentableFeatureVector
 
testDualSpaceViewer() - Method in class cc.mallet.extract.test.TestLatticeViewer
 
testDuplicateValueFromFeatureSequence() - Method in class cc.mallet.types.tests.TestFeatureVector
 
testEarlyStopping() - Method in class cc.mallet.grmm.test.TestTRP
 
testEmbeddedFactorGraph() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testEmptyLocations() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testEmptyStringBug() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
testEntropy() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testEntropyLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testEqualKeys() - Method in class cc.mallet.util.tests.TestPriorityQueue
 
testEquals() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testEqualsHashCode() - Method in class cc.mallet.grmm.test.TestBitVarSet
 
testEqualsHashCode() - Method in class cc.mallet.grmm.test.TestHashClique
 
testEqualsHashCode() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testEstimate() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
 
testEstimating() - Method in class cc.mallet.types.tests.TestMultinomial
 
testEvaluators() - Method in class cc.mallet.cluster.evaluate.tests.TestClusteringEvaluators
 
testEvaluators() - Method in class cc.mallet.cluster.iterator.tests.TestIterators
 
testExp() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testExpandToContain() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testExtendedDotProduct() - Method in class cc.mallet.types.tests.TestSparseVector
 
testExtractMaxLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
TestFactorGraph - Class in cc.mallet.grmm.test
Created: Mar 17, 2005
TestFactorGraph(String) - Constructor for class cc.mallet.grmm.test.TestFactorGraph
 
testFactorizedJoint() - Method in class cc.mallet.grmm.test.TestInference
 
testFactorOfSet() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
testFactorReplace() - Method in class cc.mallet.grmm.test.TestDirectedModel
 
TestFactors - Class in cc.mallet.grmm.test
Created: Mar 28, 2005
TestFactors(String) - Constructor for class cc.mallet.grmm.test.TestFactors
 
TestFeatureSequence - Class in cc.mallet.types.tests
 
TestFeatureSequence(String) - Constructor for class cc.mallet.types.tests.TestFeatureSequence
 
TestFeatureTransducer - Class in cc.mallet.fst.tests
 
TestFeatureTransducer(String) - Constructor for class cc.mallet.fst.tests.TestFeatureTransducer
 
TestFeatureVector - Class in cc.mallet.types.tests
 
TestFeatureVector(String) - Constructor for class cc.mallet.types.tests.TestFeatureVector
 
testFieldCleaning() - Method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
testFindVariable() - Method in class cc.mallet.grmm.test.TestInference
 
testFixedNumLabels() - Method in class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
testForwardBackward() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
 
testFromSerialization() - Method in class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
testFrozenWeights() - Method in class cc.mallet.fst.tests.TestCRF
 
testFrustratedGraphs() - Method in class cc.mallet.grmm.test.TestRandomGraphs
 
testFrustratedIsGrid() - Method in class cc.mallet.grmm.test.TestRandomGraphs
 
TestGenericAcrfData2TokenSequence - Class in cc.mallet.grmm.test
Created: Sep 15, 2005
TestGenericAcrfData2TokenSequence(String) - Constructor for class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
testGetBestLabel() - Method in class cc.mallet.types.tests.TestLabelVector
 
testGetLabelAtRank() - Method in class cc.mallet.types.tests.TestLabelVector
 
testGetSetParameters() - Method in class cc.mallet.fst.tests.TestCRF
 
testGetSetParameters() - Method in class cc.mallet.fst.tests.TestMEMM
 
testGetSetParameters(Optimizable) - Static method in class cc.mallet.optimize.tests.TestOptimizable
Tests that parameters set by setParameters can be retrieved by getParameters.
TestGibbsSampler - Class in cc.mallet.grmm.test
$Id: TestGibbsSampler.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
TestGibbsSampler(String) - Constructor for class cc.mallet.grmm.test.TestGibbsSampler
 
testGradientAscent() - Method in class cc.mallet.optimize.tests.TestOptimizer
 
TestHashClique - Class in cc.mallet.grmm.test
Created: Aug 22, 2005
TestHashClique(String) - Constructor for class cc.mallet.grmm.test.TestHashClique
 
testHashCodeByHashVarSet() - Method in class cc.mallet.grmm.test.TestListVarSet
 
TestHashedSparseVector - Class in cc.mallet.types.tests
 
TestHashedSparseVector(String) - Constructor for class cc.mallet.types.tests.TestHashedSparseVector
 
testIncrement() - Method in class cc.mallet.fst.tests.TestCRF
 
testIncrement() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
 
testIncrement() - Method in class cc.mallet.fst.tests.TestMEMM
 
testIncrementallyTrained() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
testIncrementallyTrainedGrowingAlphabets() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
testIncrementValue() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testIncrementValue() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testIncrementValue() - Method in class cc.mallet.types.tests.TestSparseVector
 
TestIndexedSparseVector - Class in cc.mallet.types.tests
 
TestIndexedSparseVector(String) - Constructor for class cc.mallet.types.tests.TestIndexedSparseVector
 
testIndexing1d() - Method in class cc.mallet.types.tests.TestMatrixn
 
testIndexing1d() - Method in class cc.mallet.types.tests.TestSparseMatrixn
 
testIndexing2d() - Method in class cc.mallet.types.tests.TestMatrixn
 
testIndexing2d() - Method in class cc.mallet.types.tests.TestSparseMatrixn
 
testIndexing3d() - Method in class cc.mallet.types.tests.TestMatrixn
 
testIndexing3d() - Method in class cc.mallet.types.tests.TestSparseMatrixn
 
TestInference - Class in cc.mallet.grmm.test
Torture tests of inference in GRMM.
TestInference(String) - Constructor for class cc.mallet.grmm.test.TestInference
 
testInfiniteCost() - Method in class cc.mallet.grmm.test.TestInference
 
testing - Variable in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
testing - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
testInitialAssignment() - Method in class cc.mallet.grmm.test.TestGibbsSampler
 
testInitialState() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
 
TestInstanceListWeights - Class in cc.mallet.types.tests
 
TestInstanceListWeights() - Constructor for class cc.mallet.types.tests.TestInstanceListWeights
 
TestInstancePipe - Class in cc.mallet.pipe.tests
 
TestInstancePipe(String) - Constructor for class cc.mallet.pipe.tests.TestInstancePipe
 
TestInstancePipe.Array2ArrayIterator - Class in cc.mallet.pipe.tests
 
TestInstancePipe.Array2ArrayIterator() - Constructor for class cc.mallet.pipe.tests.TestInstancePipe.Array2ArrayIterator
 
testIntersectionOrdering() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testIntersectionOrderingToBit() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testIntersectionOrderingToHash() - Method in class cc.mallet.grmm.test.TestListVarSet
 
TestIterators - Class in cc.mallet.cluster.iterator.tests
 
TestIterators(String) - Constructor for class cc.mallet.cluster.iterator.tests.TestIterators
 
TestIterators - Class in cc.mallet.pipe.tests
Unit Test for PipeInputIterators Created: Thu Feb 26 14:27:15 2004
TestIterators(String) - Constructor for class cc.mallet.pipe.tests.TestIterators
 
testJointConsistent() - Method in class cc.mallet.grmm.test.TestInference
 
testJtCaching() - Method in class cc.mallet.grmm.test.TestInference
 
testJtConsistency() - Method in class cc.mallet.grmm.test.TestInference
 
testJtConstant() - Method in class cc.mallet.grmm.test.TestInference
 
testJtViterbi() - Method in class cc.mallet.grmm.test.TestInference
 
testJunctionTreeConnectedFromRoot() - Method in class cc.mallet.grmm.test.TestInference
 
TestLabelAlphabet - Class in cc.mallet.types.tests
Created: Nov 24, 2004
TestLabelAlphabet(String) - Constructor for class cc.mallet.types.tests.TestLabelAlphabet
 
testLabelsAtEnd() - Method in class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
TestLabelsSequence - Class in cc.mallet.types.tests
Created: Sep 21, 2004
TestLabelsSequence(String) - Constructor for class cc.mallet.types.tests.TestLabelsSequence
 
TestLabelVector - Class in cc.mallet.types.tests
 
TestLabelVector(String) - Constructor for class cc.mallet.types.tests.TestLabelVector
 
TestLatticeViewer - Class in cc.mallet.extract.test
Created: Oct 31, 2004
TestLatticeViewer(String) - Constructor for class cc.mallet.extract.test.TestLatticeViewer
 
testLazyAssignment() - Method in class cc.mallet.grmm.test.TestAssignmentIterator
 
testLinearLBFGS() - Method in class cc.mallet.optimize.tests.TestOptimizer
 
TestListVarSet - Class in cc.mallet.grmm.test
Created: Aug 22, 2005
TestListVarSet(String) - Constructor for class cc.mallet.grmm.test.TestListVarSet
 
testLocation() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testLogBinom() - Method in class cc.mallet.util.tests.TestMaths
 
testLogErrorRange() - Method in class cc.mallet.grmm.test.TestFactors
 
testLogMarginalize() - Method in class cc.mallet.grmm.test.TestInference
 
testLogMultiVarSlice() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testLogNormalize() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testLogNormalize() - Method in class cc.mallet.grmm.test.TestInference
 
testLogSample() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testLogSample() - Method in class cc.mallet.grmm.test.TestTableFactor
 
TestLogTableFactor - Class in cc.mallet.grmm.test
Created: Aug 17, 2004
TestLogTableFactor(String) - Constructor for class cc.mallet.grmm.test.TestLogTableFactor
 
testLogTableTimesFg() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testLogValue() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testLoopyCaching() - Method in class cc.mallet.grmm.test.TestInference
 
testLoopyConvergence() - Method in class cc.mallet.grmm.test.TestInference
 
testMarginalize() - Method in class cc.mallet.grmm.test.TestAssignment
 
testMarginalize() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testMarginalize() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testMarginalizeOut() - Method in class cc.mallet.grmm.test.TestAssignment
 
testMarginalizeOut() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testMarginals() - Method in class cc.mallet.grmm.test.TestInference
 
TestMaths - Class in cc.mallet.util.tests
Created: Oct 31, 2004
TestMaths(String) - Constructor for class cc.mallet.util.tests.TestMaths
 
TestMatrix - Class in cc.mallet.types.tests
 
TestMatrix(String) - Constructor for class cc.mallet.types.tests.TestMatrix
 
TestMatrixn - Class in cc.mallet.types.tests
Created: Aug 30, 2004
TestMatrixn(String) - Constructor for class cc.mallet.types.tests.TestMatrixn
 
testMatrixnSerializable() - Method in class cc.mallet.types.tests.TestMatrixn
 
TestMaxEntTrainer - Class in cc.mallet.classify.tests
 
TestMaxEntTrainer(String) - Constructor for class cc.mallet.classify.tests.TestMaxEntTrainer
 
testMaxLattice() - Method in class cc.mallet.fst.tests.TestCRF
 
testMaxMarginals() - Method in class cc.mallet.grmm.test.TestInference
 
testMdlToGraph() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
TestMEMM - Class in cc.mallet.fst.tests
Tests for MEMM training.
TestMEMM(String) - Constructor for class cc.mallet.fst.tests.TestMEMM
 
TestMEMM.TestMEMM2String - Class in cc.mallet.fst.tests
 
TestMEMM.TestMEMM2String() - Constructor for class cc.mallet.fst.tests.TestMEMM.TestMEMM2String
 
TestMEMM.TestMEMMTokenSequenceRemoveSpaces - Class in cc.mallet.fst.tests
 
TestMEMM.TestMEMMTokenSequenceRemoveSpaces() - Constructor for class cc.mallet.fst.tests.TestMEMM.TestMEMMTokenSequenceRemoveSpaces
 
TestMIntInt2ObjectMap - Class in cc.mallet.grmm.test
Created: Dec 14, 2005
TestMIntInt2ObjectMap(String) - Constructor for class cc.mallet.grmm.test.TestMIntInt2ObjectMap
 
testMix() - Method in class cc.mallet.grmm.test.TestFactors
 
TestMultinomial - Class in cc.mallet.types.tests
 
TestMultinomial(String) - Constructor for class cc.mallet.types.tests.TestMultinomial
 
testMultinomial() - Method in class cc.mallet.types.tests.TestMultinomial
 
testMultipleEdgePotentials() - Method in class cc.mallet.grmm.test.TestUndirectedModel
Tests that models can be created that have multiple factors over the same edge, and that potentialOfEdge returns the product in that case.
testMultipleNodePotentials() - Method in class cc.mallet.grmm.test.TestUndirectedModel
Tests that models can be created that have multiple factors over the same variable, and that potentialOfVertex returns the product in that case.
testMultiply() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testMultiply() - Method in class cc.mallet.grmm.test.TestInference
 
testMultiplyAll() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testMultiplyBy() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testMultiplyByLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testMultiplyMultiplyBy() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testMultiRow() - Method in class cc.mallet.grmm.test.TestAssignment
 
testMultiTag() - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
 
testMultiTagSerialization() - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
 
testMultiVarSlice() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testMultiVarSlice() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testMutualInfo1() - Method in class cc.mallet.grmm.test.TestFactors
 
testMutualInfo2() - Method in class cc.mallet.grmm.test.TestFactors
 
TestNaiveBayes - Class in cc.mallet.classify.tests
 
TestNaiveBayes(String) - Constructor for class cc.mallet.classify.tests.TestNaiveBayes
 
testNestedToXML() - Method in class cc.mallet.extract.test.TestDocumentExtraction
 
testNestedXMLTokenizationFilter() - Method in class cc.mallet.extract.test.TestDocumentExtraction
 
testNewFeatures() - Method in class cc.mallet.classify.tests.TestClassifiers
 
testNewPutSizeFreeze() - Method in class cc.mallet.types.tests.TestFeatureSequence
 
testNonTrained() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
TestNormalFactor - Class in cc.mallet.grmm.test
$Id: TestNormalFactor.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
TestNormalFactor(String) - Constructor for class cc.mallet.grmm.test.TestNormalFactor
 
testNormalize() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testNormalizeAsCpt() - Method in class cc.mallet.grmm.test.TestFactors
 
testNormalizeAsCptLogSpace() - Method in class cc.mallet.grmm.test.TestFactors
 
testNotFound() - Method in class cc.mallet.types.tests.TestAlphabet
 
testNoTokenText() - Method in class cc.mallet.grmm.test.TestGenericAcrfData2TokenSequence
 
testNumVariables() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
TestOffsetConjunctions - Class in cc.mallet.pipe.tsf.tests
 
TestOffsetConjunctions(String) - Constructor for class cc.mallet.pipe.tsf.tests.TestOffsetConjunctions
 
TestOffsetFeatureConjunctions - Class in cc.mallet.pipe.tsf.tests
$Id: TestOffsetFeatureConjunctions.java,v 1.1 2007/10/22 21:37:57 mccallum Exp $
TestOffsetFeatureConjunctions(String) - Constructor for class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
 
testOne() - Method in class cc.mallet.pipe.iterator.tests.TestPatternMatchIterator
 
testOne() - Method in class cc.mallet.pipe.tests.TestInstancePipe
 
testOne() - Method in class cc.mallet.pipe.tests.TestSGML2TokenSequence
 
testOne() - Method in class cc.mallet.pipe.tsf.tests.TestOffsetConjunctions
 
testOne() - Method in class cc.mallet.types.tests.TestToken
 
testOne() - Method in class cc.mallet.util.tests.TestPropertyList
 
testOneFromSerialized() - Method in class cc.mallet.pipe.tests.TestInstancePipe
 
testOneVarSlice() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testOneVarSlice() - Method in class cc.mallet.grmm.test.TestTableFactor
 
TestOptimizable - Class in cc.mallet.optimize.tests
Contains static methods for testing subclasses of Maximizable and Maximizable.ByGradient.
TestOptimizable(String) - Constructor for class cc.mallet.optimize.tests.TestOptimizable
 
TestOptimizer - Class in cc.mallet.optimize.tests
Unit Test for class TestMaximizer.java Created: Mon Apr 26 19:54:25 2004
TestOptimizer(String) - Constructor for class cc.mallet.optimize.tests.TestOptimizer
 
testOrthantWiseLBFGSWithL1() - Method in class cc.mallet.optimize.tests.TestOptimizer
 
testOrthantWiseLBFGSWithoutL1() - Method in class cc.mallet.optimize.tests.TestOptimizer
 
testOutputToDot() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
TestPagedInstanceList - Class in cc.mallet.types.tests
Created: Apr 19, 2005
TestPagedInstanceList(String) - Constructor for class cc.mallet.types.tests.TestPagedInstanceList
 
testParameterSetting() - Method in class cc.mallet.classify.tests.TestStaticParameters
 
testParenGroupIterator() - Method in class cc.mallet.pipe.tests.TestIterators
 
TestPatternMatchIterator - Class in cc.mallet.pipe.iterator.tests
 
TestPatternMatchIterator(String) - Constructor for class cc.mallet.pipe.iterator.tests.TestPatternMatchIterator
 
testPbinom() - Method in class cc.mallet.util.tests.TestMaths
 
testPerDocEval() - Method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
TestPerDocumentF1Evaluator - Class in cc.mallet.extract.test
Created: Nov 18, 2004
TestPerDocumentF1Evaluator(String) - Constructor for class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
testPerFieldEval() - Method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
testPipesAreStupid() - Method in class cc.mallet.pipe.tests.TestPipeUtils
 
TestPipeUtils - Class in cc.mallet.pipe.tests
Created: Aug 28, 2005
TestPipeUtils(String) - Constructor for class cc.mallet.pipe.tests.TestPipeUtils
 
testPlusEquals() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testPlusEquals() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testPlusEquals() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testPlusEquals() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testPlusEquals() - Method in class cc.mallet.types.tests.TestSparseVector
 
testPlusEqualsAfterClone() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testPlusEqualsFromSaved() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testPotentialConnections() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
TestPottsFactor - Class in cc.mallet.grmm.test
$Id: TestPottsFactor.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
TestPottsFactor(String) - Constructor for class cc.mallet.grmm.test.TestPottsFactor
 
testPrint() - Method in class cc.mallet.fst.tests.TestCRF
 
testPrint() - Method in class cc.mallet.types.tests.TestSparseVector
 
testPrinting() - Static method in class cc.mallet.pipe.tsf.tests.TestSequencePrintingPipe
 
TestPriorityQueue - Class in cc.mallet.util.tests
Created by IntelliJ IDEA.
TestPriorityQueue(String) - Constructor for class cc.mallet.util.tests.TestPriorityQueue
 
TestPropertyList - Class in cc.mallet.util.tests
 
TestPropertyList(String) - Constructor for class cc.mallet.util.tests.TestPropertyList
 
testPunctuationIgnoringEvaluator() - Method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
testQuery() - Method in class cc.mallet.grmm.test.TestInference
 
TestRainbowStyle - Class in cc.mallet.pipe.tests
 
TestRainbowStyle(String) - Constructor for class cc.mallet.pipe.tests.TestRainbowStyle
 
TestRandom - Class in cc.mallet.util.tests
Created: Jan 19, 2005
TestRandom(String) - Constructor for class cc.mallet.util.tests.TestRandom
 
TestRandomGraphs - Class in cc.mallet.grmm.test
Created: Mar 26, 2005
TestRandomGraphs(String) - Constructor for class cc.mallet.grmm.test.TestRandomGraphs
 
testRandomMaximizable() - Method in class cc.mallet.classify.tests.TestMaxEntTrainer
 
testRandomTrained() - Method in class cc.mallet.classify.tests.TestClassifiers
 
testRandomTrained() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
testRandomTrained() - Method in class cc.mallet.types.tests.TestPagedInstanceList
 
TestRankedFeatureVector - Class in cc.mallet.types.tests
 
TestRankedFeatureVector(String) - Constructor for class cc.mallet.types.tests.TestRankedFeatureVector
 
testReadResolve() - Method in class cc.mallet.types.tests.TestAlphabet
 
testReadResolve() - Method in class cc.mallet.types.tests.TestLabelAlphabet
Tests how serializing labels separately can lead to big losses.
testRecenter() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testRecenter2() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testRedundantDomains() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testRemove() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testRepulsiveGraphs() - Method in class cc.mallet.grmm.test.TestRandomGraphs
 
testRetainMass() - Method in class cc.mallet.grmm.test.TestFactors
 
testReverse() - Method in class cc.mallet.grmm.test.TestMIntInt2ObjectMap
 
testReverse() - Method in class cc.mallet.util.tests.TestPriorityQueue
 
testSample() - Method in class cc.mallet.grmm.test.TestBetaFactor
 
testSample() - Method in class cc.mallet.grmm.test.TestNormalFactor
 
testSample() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testSample() - Method in class cc.mallet.grmm.test.TestUniformFactor
 
testSample() - Method in class cc.mallet.grmm.test.TestUniNormalFactor
 
testSample2() - Method in class cc.mallet.grmm.test.TestBetaFactor
 
testScale() - Method in class cc.mallet.grmm.test.TestAssignment
 
testScaleMarginalize() - Method in class cc.mallet.grmm.test.TestAssignment
 
TestSequencePrintingPipe - Class in cc.mallet.pipe.tsf.tests
Created: Jul 8, 2005
TestSequencePrintingPipe(String) - Constructor for class cc.mallet.pipe.tsf.tests.TestSequencePrintingPipe
 
testSerializable() - Method in class cc.mallet.grmm.test.TestInference
 
testSerializable() - Method in class cc.mallet.grmm.test.TestMIntInt2ObjectMap
 
testSerializable() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testSerializable() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testSerializable() - Method in class cc.mallet.types.tests.TestLabelsSequence
 
TestSerializable - Class in cc.mallet.types.tests
Static utility for testing serializable classes in MALLET.
TestSerializable(String) - Constructor for class cc.mallet.types.tests.TestSerializable
 
testSerializable2() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testSerialization() - Method in class cc.mallet.fst.tests.TestCRF
 
testSerialization() - Method in class cc.mallet.grmm.test.TestAssignment
 
testSerialization() - Method in class cc.mallet.grmm.test.TestListVarSet
 
testSetGetParameters() - Method in class cc.mallet.classify.tests.TestMaxEntTrainer
 
testSetRankOrder() - Method in class cc.mallet.types.tests.TestRankedFeatureVector
 
testSetRow() - Method in class cc.mallet.grmm.test.TestAssignment
 
testSetRowFromAssn() - Method in class cc.mallet.grmm.test.TestAssignment
 
testSetValue() - Method in class cc.mallet.grmm.test.TestAssignment
 
testSetValue() - Method in class cc.mallet.types.tests.TestHashedSparseVector
 
testSetValue() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
 
testSetValue() - Method in class cc.mallet.types.tests.TestSparseVector
 
testSetValueDup() - Method in class cc.mallet.grmm.test.TestAssignment
 
testSetValueExpand() - Method in class cc.mallet.grmm.test.TestAssignment
 
TestSGML2TokenSequence - Class in cc.mallet.pipe.tests
 
TestSGML2TokenSequence(String) - Constructor for class cc.mallet.pipe.tests.TestSGML2TokenSequence
 
TestSGML2TokenSequence.Array2ArrayIterator - Class in cc.mallet.pipe.tests
 
TestSGML2TokenSequence.Array2ArrayIterator() - Constructor for class cc.mallet.pipe.tests.TestSGML2TokenSequence.Array2ArrayIterator
 
testSimple() - Method in class cc.mallet.grmm.test.TestAssignment
 
testSimpleModel() - Method in class cc.mallet.grmm.test.TestDirectedModel
 
testSingletonGraph() - Method in class cc.mallet.grmm.test.TestInference
 
testSingleValueFromFeatureSequence() - Method in class cc.mallet.types.tests.TestFeatureVector
 
testSizeFromFeatureSequence() - Method in class cc.mallet.types.tests.TestFeatureVector
 
testSlice() - Method in class cc.mallet.grmm.test.TestPottsFactor
 
testSliceInFg() - Method in class cc.mallet.grmm.test.TestBetaFactor
 
testSliceInFg() - Method in class cc.mallet.grmm.test.TestUniformFactor
 
testSmall() - Method in class cc.mallet.util.tests.TestAStar
 
testSpaceMaximizable() - Method in class cc.mallet.fst.tests.TestMEMM
 
TestSpacePipe - Class in cc.mallet.pipe.tests
Unit Test for class TestSpacePipe.java Created: Thu Feb 26 14:56:55 2004
TestSpacePipe(String) - Constructor for class cc.mallet.pipe.tests.TestSpacePipe
 
testSpacePipe() - Method in class cc.mallet.pipe.tests.TestSpacePipe
 
testSpaceSerializable() - Method in class cc.mallet.fst.tests.TestMEMM
 
testSpaceViewer() - Method in class cc.mallet.extract.test.TestDocumentViewer
 
testSpaceViewer() - Method in class cc.mallet.extract.test.TestLatticeViewer
 
testSparseDivide() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testSparseDivideLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testSparseExtractMax() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testSparseMarginalize() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testSparseMarginalizeLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testSparseMatrixN() - Method in class cc.mallet.grmm.test.TestAssignmentIterator
 
TestSparseMatrixn - Class in cc.mallet.types.tests
Created: Aug 30, 2004
TestSparseMatrixn(String) - Constructor for class cc.mallet.types.tests.TestSparseMatrixn
 
testSparseMatrixnSerializable() - Method in class cc.mallet.types.tests.TestSparseMatrixn
 
testSparseMultiply() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testSparseMultiplyLogSpace() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testSparseNormalizeAsCpt() - Method in class cc.mallet.grmm.test.TestFactors
 
testSparseValueAndLogValue() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
TestSparseVector - Class in cc.mallet.types.tests
 
TestSparseVector(String) - Constructor for class cc.mallet.types.tests.TestSparseVector
 
testStartState() - Method in class cc.mallet.fst.tests.TestCRF
 
testStateAddWeights() - Method in class cc.mallet.fst.tests.TestCRF
 
TestStaticParameters - Class in cc.mallet.classify.tests
 
TestStaticParameters() - Constructor for class cc.mallet.classify.tests.TestStaticParameters
 
TestStaticParameters.Factory - Class in cc.mallet.classify.tests
 
TestStaticParameters.Factory() - Constructor for class cc.mallet.classify.tests.TestStaticParameters.Factory
 
TestStrings - Class in cc.mallet.util.tests
Created: Jan 19, 2005
TestStrings(String) - Constructor for class cc.mallet.util.tests.TestStrings
 
testStringTrained() - Method in class cc.mallet.classify.tests.TestNaiveBayes
 
testSubtractLogProb() - Method in class cc.mallet.util.tests.TestMaths
 
testSum(double, double) - Method in class cc.mallet.fst.tests.TestSumNegLogProb2
 
testSum() - Method in class cc.mallet.grmm.test.TestAssignmentIterator
 
testSum() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testSumGradLog() - Method in class cc.mallet.grmm.test.TestPottsFactor
 
testSumGradLog2() - Method in class cc.mallet.grmm.test.TestPottsFactor
 
testSumLattice() - Method in class cc.mallet.fst.tests.TestCRF
 
testSumLatticeImplementations() - Method in class cc.mallet.fst.tests.TestCRF
 
testSumLogProb() - Method in class cc.mallet.fst.tests.TestCRF
 
testSumLogProb() - Method in class cc.mallet.grmm.test.TestInference
 
testSumLogProb() - Method in class cc.mallet.util.tests.TestMaths
 
TestSumNegLogProb2 - Class in cc.mallet.fst.tests
 
TestSumNegLogProb2(String) - Constructor for class cc.mallet.fst.tests.TestSumNegLogProb2
 
testSymmetricConcentration(int, int, int) - Static method in class cc.mallet.types.Dirichlet
 
TestTableFactor - Class in cc.mallet.grmm.test
Created: Aug 17, 2004
TestTableFactor(String) - Constructor for class cc.mallet.grmm.test.TestTableFactor
 
testTableTimesFg() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testTblTblPlusEquals() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testTblTblPlusEquals() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testTestSerializable() - Method in class cc.mallet.types.tests.TestSerializable
 
testTestValueAndGradient() - Method in class cc.mallet.optimize.tests.TestOptimizable
 
testThree() - Method in class cc.mallet.pipe.tests.TestRainbowStyle
 
testThreeNodeModel() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
testTimesEquals() - Method in class cc.mallet.types.tests.TestMatrix
 
testTimesTableFactor() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
TestToken - Class in cc.mallet.types.tests
 
TestToken(String) - Constructor for class cc.mallet.types.tests.TestToken
 
testTokenAccuracy() - Method in class cc.mallet.fst.tests.TestCRF
 
testToStdout() - Method in class cc.mallet.extract.test.TestPerDocumentF1Evaluator
 
testToXml() - Method in class cc.mallet.extract.test.TestDocumentExtraction
 
testToXmlBIO() - Method in class cc.mallet.extract.test.TestDocumentExtraction
 
testTrain() - Method in class cc.mallet.fst.tests.TestCRF
 
testTrainedMaximizable() - Method in class cc.mallet.classify.tests.TestMaxEntTrainer
 
testTrainStochasticGradient() - Method in class cc.mallet.fst.tests.TestCRF
 
testTreeViterbi() - Method in class cc.mallet.grmm.test.TestInference
 
testTrp() - Method in class cc.mallet.grmm.test.TestInference
 
TestTRP - Class in cc.mallet.grmm.test
$Id: TestTRP.java,v 1.1 2007/10/22 21:37:40 mccallum Exp $
TestTRP(String) - Constructor for class cc.mallet.grmm.test.TestTRP
 
testTrpJoint() - Method in class cc.mallet.grmm.test.TestInference
 
testTrpLargeModels() - Method in class cc.mallet.grmm.test.TestInference
 
testTrpNonDestructivity() - Method in class cc.mallet.grmm.test.TestInference
Tests that running TRP doesn't inadvertantly change potentials in the original graph.
testTrpOnTrees() - Method in class cc.mallet.grmm.test.TestInference
 
testTrpReuse() - Method in class cc.mallet.grmm.test.TestInference
 
testTrpTreeList() - Method in class cc.mallet.grmm.test.TestInference
 
testTrpViterbiEquiv() - Method in class cc.mallet.grmm.test.TestInference
 
testTrpViterbiEquiv2() - Method in class cc.mallet.grmm.test.TestInference
 
testTwo() - Method in class cc.mallet.fst.tests.TestSumNegLogProb2
 
testTwo() - Method in class cc.mallet.pipe.tests.TestInstancePipe
 
testTwo() - Method in class cc.mallet.types.tests.TestToken
 
testTwoVarSlice() - Method in class cc.mallet.grmm.test.TestLogTableFactor
 
testTwoVarSlice() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testUndirectedCaches() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
testUndirectedCachesAfterRemove() - Method in class cc.mallet.grmm.test.TestUndirectedModel
 
testUndirectedIndices() - Method in class cc.mallet.grmm.test.TestInference
 
TestUndirectedModel - Class in cc.mallet.grmm.test
Created: Mar 17, 2005
TestUndirectedModel(String) - Constructor for class cc.mallet.grmm.test.TestUndirectedModel
 
TestUniformFactor - Class in cc.mallet.grmm.test
$Id: TestUniformFactor.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
TestUniformFactor(String) - Constructor for class cc.mallet.grmm.test.TestUniformFactor
 
testUniformGrid() - Method in class cc.mallet.grmm.test.TestRandomGraphs
 
testUniformGridWithObservations() - Method in class cc.mallet.grmm.test.TestRandomGraphs
 
testUniformJoint() - Method in class cc.mallet.grmm.test.TestInference
 
TestUniNormalFactor - Class in cc.mallet.grmm.test
$Id: TestUniNormalFactor.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
TestUniNormalFactor(String) - Constructor for class cc.mallet.grmm.test.TestUniNormalFactor
 
testUnion() - Method in class cc.mallet.grmm.test.TestAssignment
 
testValue() - Method in class cc.mallet.grmm.test.TestBetaFactor
 
testValue() - Method in class cc.mallet.grmm.test.TestFactorGraph
 
testValue() - Method in class cc.mallet.grmm.test.TestUniNormalFactor
 
testValue() - Method in class cc.mallet.types.tests.TestLabelVector
 
testValueAndGradient(Optimizable.ByGradientValue) - Static method in class cc.mallet.optimize.tests.TestOptimizable
Tests that getValue and getValueGradient are consistent.
testValueAndGradientCurrentParameters(Optimizable.ByGradientValue) - Static method in class cc.mallet.optimize.tests.TestOptimizable
Tests that the value and gradient function are consistent at the current parameters.
testValueAndGradientInDirection(Optimizable.ByGradientValue, double[]) - Static method in class cc.mallet.optimize.tests.TestOptimizable
 
testValueAndGradientRandomParameters(Optimizable.ByGradientValue, Random) - Static method in class cc.mallet.optimize.tests.TestOptimizable
Tests that getValue and getValueGradient are consistent at a random parameter setting.
testValueGradient() - Method in class cc.mallet.fst.tests.TestCRF
 
testVariableReordering() - Method in class cc.mallet.grmm.test.TestTableFactor
 
testVarSet() - Method in class cc.mallet.grmm.test.TestBetaFactor
 
testVarSet() - Method in class cc.mallet.grmm.test.TestUniformFactor
 
testVarSet() - Method in class cc.mallet.grmm.test.TestUniNormalFactor
 
testViterbi() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
 
testXis() - Method in class cc.mallet.fst.tests.TestCRF
 
Text2Classify - Class in cc.mallet.classify.tui
Command line tool for classifying a sequence of instances directly from text input, without creating an instance list.
Text2Classify() - Constructor for class cc.mallet.classify.tui.Text2Classify
 
Text2Clusterings - Class in cc.mallet.cluster.tui
 
Text2Clusterings() - Constructor for class cc.mallet.cluster.tui.Text2Clusterings
 
Text2Vectors - Class in cc.mallet.classify.tui
Convert document files into vectors (a persistent instance list).
Text2Vectors() - Constructor for class cc.mallet.classify.tui.Text2Vectors
 
THashMultiMap - Class in cc.mallet.grmm.util
Version of THashMap where every key is mapped to a list of objects.
THashMultiMap() - Constructor for class cc.mallet.grmm.util.THashMultiMap
 
THashMultiMap(int) - Constructor for class cc.mallet.grmm.util.THashMultiMap
 
ThreadedOptimizable - Class in cc.mallet.fst
An adaptor for optimizables based on batch values/gradients.
ThreadedOptimizable(Optimizable.ByCombiningBatchGradient, InstanceList, int, CacheStaleIndicator) - Constructor for class cc.mallet.fst.ThreadedOptimizable
Initializes the optimizable and starts new threads.
tick() - Method in class cc.mallet.grmm.util.Flops.Watch
 
tick(String) - Method in class cc.mallet.grmm.util.Flops.Watch
 
tick(String) - Method in class cc.mallet.util.Timing
Print to System.out how much time has passed, resetting this Timing's start time to the current time.
timeMarginalization() - Method in class cc.mallet.grmm.test.TestInference
 
timesEquals(double) - Method in class cc.mallet.grmm.types.AbstractTableFactor
Multiplies a constant by all values in the table.
timesEquals(double) - Method in class cc.mallet.grmm.types.LogTableFactor
 
timesEquals(double) - Method in class cc.mallet.grmm.types.TableFactor
 
timesEquals(double) - Method in class cc.mallet.types.DenseMatrix
 
timesEquals(double[], double[]) - Static method in class cc.mallet.types.DenseMatrix
 
timesEquals(LogNumber) - Method in class cc.mallet.types.LogNumber
 
timesEquals(double) - Method in interface cc.mallet.types.Matrix
 
timesEquals(double[], double) - Static method in class cc.mallet.types.MatrixOps
Multiplies every element in an array by a scalar.
timesEquals(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
 
timesEquals(double[][], double) - Static method in class cc.mallet.types.MatrixOps
 
timesEquals(double) - Method in class cc.mallet.types.SparseMatrixn
 
timesEquals(double) - Method in class cc.mallet.types.SparseVector
Scale all elements by the same factor.
timesEqualsSparse(SparseVector) - Method in class cc.mallet.types.SparseVector
For each index i that is present in this vector, set this[i] *= v[i].
timesEqualsSparse(SparseVector, double) - Method in class cc.mallet.types.SparseVector
For each index i that is present in this vector, set this[i] *= factor * v[i].
timesEqualsSparseZero(SparseVector, double) - Method in class cc.mallet.types.SparseVector
For each index i that is present in this vector, set this[i] *= factor * v[i].
Timing - Class in cc.mallet.util
A class for timing things.
Timing() - Constructor for class cc.mallet.util.Timing
 
tmpls - Variable in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
to() - Method in class cc.mallet.grmm.inference.MessageArray.Iterator
 
toArray() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
 
toArray(Object[]) - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
Returns an array containing all the entries in the Alphabet.
toArray(Object[]) - Method in class cc.mallet.grmm.types.HashVarSet
Returns the variables in this clique as an array.
toArray() - Method in class cc.mallet.grmm.types.HashVarSet
Returns the variables in this clique as an array.
toArray() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
toArray(Object[]) - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
toArray() - Method in class cc.mallet.types.Alphabet
 
toArray(Object[]) - Method in class cc.mallet.types.Alphabet
Returns an array containing all the entries in the Alphabet.
toArray() - Method in class cc.mallet.types.Matrixn
Returns a one-dimensional array representation of the matrix.
toArray() - Method in class cc.mallet.types.MultiInstanceList
 
toArray(T[]) - Method in class cc.mallet.types.MultiInstanceList
 
toArray() - Method in class cc.mallet.types.SparseMatrixn
Returns a one-dimensional array representation of the matrix.
toArray() - Method in class cc.mallet.util.search.MinHeap
 
toArray() - Method in interface cc.mallet.util.search.PriorityQueue
Returns any array containing all of the elements in the queue.
toArrayList() - Method in class cc.mallet.pipe.iterator.SegmentIterator
 
toDoubleArray(int) - Method in class cc.mallet.grmm.types.Assignment
 
toDoubleArray(ArrayList) - Static method in class cc.mallet.util.ArrayListUtils
 
toFeatureIndexSequence() - Method in class cc.mallet.types.FeatureSequence
 
toFeatureSequence(Alphabet) - Method in class cc.mallet.types.TokenSequence
 
toFeatureVector() - Method in class cc.mallet.types.AugmentableFeatureVector
 
toFeatureVector() - Method in class cc.mallet.types.FeatureCounter
 
toFeatureVector(Alphabet, boolean) - Method in interface cc.mallet.types.PropertyHolder
 
toFeatureVector(Alphabet, boolean) - Method in class cc.mallet.types.Token
 
toFeatureVector(Alphabet) - Method in class cc.mallet.types.TokenSequence
 
toFile(String) - Method in class cc.mallet.types.Dirichlet
Write the parameters alpha_i to the specified file, one per line
toInstance() - Method in class cc.mallet.classify.Classification
 
toIntArray(ArrayList) - Static method in class cc.mallet.util.ArrayListUtils
 
Token - Class in cc.mallet.types
A representation of a piece of text, usually a single word, to which we can attach properties.
Token(String) - Constructor for class cc.mallet.types.Token
 
Token2FeatureVector - Class in cc.mallet.pipe
convert the property list on a token into a feature vector
Token2FeatureVector(Alphabet, boolean, boolean) - Constructor for class cc.mallet.pipe.Token2FeatureVector
 
Token2FeatureVector(Alphabet) - Constructor for class cc.mallet.pipe.Token2FeatureVector
 
Token2FeatureVector(boolean, boolean) - Constructor for class cc.mallet.pipe.Token2FeatureVector
 
Token2FeatureVector() - Constructor for class cc.mallet.pipe.Token2FeatureVector
 
tokenAccuracy(Sequence, PrintWriter) - Method in class cc.mallet.fst.MaxLatticeDefault
 
TokenAccuracyEvaluator - Class in cc.mallet.fst
Evaluates a transducer model based on predictions of individual tokens.
TokenAccuracyEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.fst.TokenAccuracyEvaluator
 
TokenAccuracyEvaluator(InstanceList, String) - Constructor for class cc.mallet.fst.TokenAccuracyEvaluator
 
TokenAccuracyEvaluator(InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.TokenAccuracyEvaluator
 
TokenAccuracyEvaluator(InstanceList, String, InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.TokenAccuracyEvaluator
 
TokenFirstPosition - Class in cc.mallet.pipe.tsf
 
TokenFirstPosition(String) - Constructor for class cc.mallet.pipe.tsf.TokenFirstPosition
 
TokenFirstPosition() - Constructor for class cc.mallet.pipe.tsf.TokenFirstPosition
 
Tokenization - Interface in cc.mallet.extract
 
TokenizationFilter - Interface in cc.mallet.extract
Created: Nov 12, 2004
TokenSequence - Class in cc.mallet.types
A representation of a piece of text, usually a single word, to which we can attach properties.
TokenSequence(Collection<Token>) - Constructor for class cc.mallet.types.TokenSequence
 
TokenSequence() - Constructor for class cc.mallet.types.TokenSequence
 
TokenSequence(int) - Constructor for class cc.mallet.types.TokenSequence
 
TokenSequence(Token[]) - Constructor for class cc.mallet.types.TokenSequence
 
TokenSequence(Object[]) - Constructor for class cc.mallet.types.TokenSequence
 
TokenSequence2FeatureSequence - Class in cc.mallet.pipe
Convert the token sequence in the data field each instance to a feature sequence.
TokenSequence2FeatureSequence(Alphabet) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequence
 
TokenSequence2FeatureSequence() - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequence
 
TokenSequence2FeatureSequenceWithBigrams - Class in cc.mallet.pipe
Convert the token sequence in the data field of each instance to a feature sequence that preserves bigram information.
TokenSequence2FeatureSequenceWithBigrams(Alphabet, Alphabet) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
 
TokenSequence2FeatureSequenceWithBigrams(Alphabet) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
 
TokenSequence2FeatureSequenceWithBigrams() - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
 
TokenSequence2FeatureVectorSequence - Class in cc.mallet.pipe
Convert the token sequence in the data field of each instance to a feature vector sequence.
TokenSequence2FeatureVectorSequence(Alphabet, boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
 
TokenSequence2FeatureVectorSequence(Alphabet) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
 
TokenSequence2FeatureVectorSequence(boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
 
TokenSequence2FeatureVectorSequence() - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
 
TokenSequence2TokenInstances - Class in cc.mallet.pipe
 
TokenSequence2TokenInstances() - Constructor for class cc.mallet.pipe.TokenSequence2TokenInstances
 
TokenSequence2Tokenization - Class in cc.mallet.extract.pipe
Heuristically converts a simple token sequence into a Tokenization that can be used with all the extract package goodies.
TokenSequence2Tokenization() - Constructor for class cc.mallet.extract.pipe.TokenSequence2Tokenization
 
TokenSequenceDocHeader - Class in cc.mallet.share.mccallum.ner
 
TokenSequenceDocHeader() - Constructor for class cc.mallet.share.mccallum.ner.TokenSequenceDocHeader
 
TokenSequenceLowercase - Class in cc.mallet.pipe
Convert the text in each token in the token sequence in the data field to lower case.
TokenSequenceLowercase() - Constructor for class cc.mallet.pipe.TokenSequenceLowercase
 
TokenSequenceMatchDataAndTarget - Class in cc.mallet.pipe
Run a regular expression over the text of each token; replace the text with the substring matching one regex group; create a target TokenSequence from the text matching another regex group.
TokenSequenceMatchDataAndTarget(Pattern, int, int) - Constructor for class cc.mallet.pipe.TokenSequenceMatchDataAndTarget
 
TokenSequenceMatchDataAndTarget(String, int, int) - Constructor for class cc.mallet.pipe.TokenSequenceMatchDataAndTarget
 
TokenSequenceNGrams - Class in cc.mallet.pipe
Convert the token sequence in the data field to a token sequence of ngrams.
TokenSequenceNGrams(int[]) - Constructor for class cc.mallet.pipe.TokenSequenceNGrams
 
TokenSequenceParseFeatureString - Class in cc.mallet.pipe
Convert the string in each field Token.text to a list of Strings (space delimited).
TokenSequenceParseFeatureString(boolean, boolean, String) - Constructor for class cc.mallet.pipe.TokenSequenceParseFeatureString
 
TokenSequenceParseFeatureString(boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequenceParseFeatureString
 
TokenSequenceParseFeatureString(boolean) - Constructor for class cc.mallet.pipe.TokenSequenceParseFeatureString
 
TokenSequenceRemoveNonAlpha - Class in cc.mallet.pipe
Remove tokens that contain non-alphabetic characters.
TokenSequenceRemoveNonAlpha(boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveNonAlpha
 
TokenSequenceRemoveNonAlpha() - Constructor for class cc.mallet.pipe.TokenSequenceRemoveNonAlpha
 
TokenSequenceRemoveStopwords - Class in cc.mallet.pipe
Remove tokens from the token sequence in the data field whose text is in the stopword list.
TokenSequenceRemoveStopwords(boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
TokenSequenceRemoveStopwords(boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
TokenSequenceRemoveStopwords() - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
 
TokenSequenceRemoveStopwords(File, String, boolean, boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
Load a stoplist from a file.
tokensPerTopic - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
tokensPerTopic - Variable in class cc.mallet.topics.MarginalProbEstimator
 
tokensPerTopic - Variable in class cc.mallet.topics.NPTopicModel
 
tokensPerTopic - Variable in class cc.mallet.topics.ParallelTopicModel
 
tokensPerTopic - Variable in class cc.mallet.topics.SimpleLDA
 
tokensPerTopic - Variable in class cc.mallet.topics.TopicInferencer
 
tokensPerTopic - Variable in class cc.mallet.topics.WorkerRunnable
 
TokenText - Class in cc.mallet.pipe.tsf
 
TokenText(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.TokenText
 
TokenText(String) - Constructor for class cc.mallet.pipe.tsf.TokenText
 
TokenText() - Constructor for class cc.mallet.pipe.tsf.TokenText
 
TokenTextCharNGrams - Class in cc.mallet.pipe.tsf
 
TokenTextCharNGrams(String, int[], boolean) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharNGrams
 
TokenTextCharNGrams(String, int[]) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharNGrams
 
TokenTextCharNGrams() - Constructor for class cc.mallet.pipe.tsf.TokenTextCharNGrams
 
TokenTextCharPrefix - Class in cc.mallet.pipe.tsf
 
TokenTextCharPrefix(String, int) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharPrefix
 
TokenTextCharPrefix() - Constructor for class cc.mallet.pipe.tsf.TokenTextCharPrefix
 
TokenTextCharSuffix - Class in cc.mallet.pipe.tsf
 
TokenTextCharSuffix(String, int) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharSuffix
 
TokenTextCharSuffix() - Constructor for class cc.mallet.pipe.tsf.TokenTextCharSuffix
 
TokenTextNGrams - Class in cc.mallet.pipe.tsf
 
TokenTextNGrams(String, int[]) - Constructor for class cc.mallet.pipe.tsf.TokenTextNGrams
 
TokenTextNGrams() - Constructor for class cc.mallet.pipe.tsf.TokenTextNGrams
 
tokPipe - Variable in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
toLabelsSequence(Assignment) - Method in class cc.mallet.grmm.util.LabelsAssignment
 
toLabelVector() - Method in class cc.mallet.types.Label
 
toLabelVector() - Method in interface cc.mallet.types.Labeling
 
toLabelVector() - Method in class cc.mallet.types.LabelVector
 
toLogValueArray() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
toMessagesIterator(int) - Method in class cc.mallet.grmm.inference.MessageArray
 
TopicalNGrams - Class in cc.mallet.topics
Like Latent Dirichlet Allocation, but with integrated phrase discovery.
TopicalNGrams(int) - Constructor for class cc.mallet.topics.TopicalNGrams
 
TopicalNGrams(int, double, double, double, double, double, double) - Constructor for class cc.mallet.topics.TopicalNGrams
 
topicAlphabet - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
topicAlphabet - Variable in class cc.mallet.topics.NPTopicModel
 
topicAlphabet - Variable in class cc.mallet.topics.ParallelTopicModel
 
topicAlphabet - Variable in class cc.mallet.topics.PolylingualTopicModel
 
topicAlphabet - Variable in class cc.mallet.topics.SimpleLDA
 
TopicAssignment - Class in cc.mallet.topics
This class combines a sequence of observed features with a sequence of hidden "labels".
TopicAssignment(Instance, LabelSequence) - Constructor for class cc.mallet.topics.TopicAssignment
 
topicBits - Variable in class cc.mallet.topics.MarginalProbEstimator
 
topicBits - Variable in class cc.mallet.topics.ParallelTopicModel
 
topicBits - Variable in class cc.mallet.topics.PolylingualTopicModel
 
topicBits - Variable in class cc.mallet.topics.TopicInferencer
 
topicBits - Variable in class cc.mallet.topics.WorkerRunnable
 
topicDistribution - Variable in class cc.mallet.topics.LDAHyper.Topication
Deprecated.  
topicDistribution - Variable in class cc.mallet.topics.PolylingualTopicModel.TopicAssignment
 
topicDistribution - Variable in class cc.mallet.topics.TopicAssignment
 
topicDocCounts - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
topicDocCounts - Variable in class cc.mallet.topics.ParallelTopicModel
 
topicDocCounts - Variable in class cc.mallet.topics.PolylingualTopicModel
 
topicDocCounts - Variable in class cc.mallet.topics.WorkerRunnable
 
TopicInferencer - Class in cc.mallet.topics
 
TopicInferencer(int[][], int[], Alphabet, double[], double, double) - Constructor for class cc.mallet.topics.TopicInferencer
 
topicLabelMutualInformation() - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
topicMask - Variable in class cc.mallet.topics.MarginalProbEstimator
 
topicMask - Variable in class cc.mallet.topics.ParallelTopicModel
 
topicMask - Variable in class cc.mallet.topics.PolylingualTopicModel
 
topicMask - Variable in class cc.mallet.topics.TopicInferencer
 
topicMask - Variable in class cc.mallet.topics.WorkerRunnable
 
TopicModel - Class in cc.mallet.examples
 
TopicModel() - Constructor for class cc.mallet.examples.TopicModel
 
TopicModelDiagnostics - Class in cc.mallet.topics
 
TopicModelDiagnostics(ParallelTopicModel, int) - Constructor for class cc.mallet.topics.TopicModelDiagnostics
 
TopicModelDiagnostics.TopicScores - Class in cc.mallet.topics
 
TopicModelDiagnostics.TopicScores(String, int, int) - Constructor for class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
topicPhraseXMLReport(PrintWriter, int) - Method in class cc.mallet.topics.ParallelTopicModel
 
topicSequence - Variable in class cc.mallet.topics.LDAHyper.Topication
Deprecated.  
topicSequence - Variable in class cc.mallet.topics.TopicAssignment
 
topicSequences - Variable in class cc.mallet.topics.PolylingualTopicModel.TopicAssignment
 
TopicTrainer - Class in cc.mallet.topics.tui
Create a simple LDA topic model, with some reporting options.
TopicTrainer() - Constructor for class cc.mallet.topics.tui.TopicTrainer
 
topicWordScores - Variable in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
 
topicXMLReport(PrintWriter, int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
topicXMLReport(PrintWriter, int) - Method in class cc.mallet.topics.ParallelTopicModel
 
topicXMLReportPhrases(PrintStream, int) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
topWords(int) - Method in class cc.mallet.topics.NPTopicModel
 
topWords(int) - Method in class cc.mallet.topics.SimpleLDA
 
toRankedFeatureVector() - Method in class cc.mallet.types.FeatureCounter
 
toSimpFile(String, int, boolean) - Method in class cc.mallet.types.FeatureVector
 
toSizesArray(Variable[]) - Static method in class cc.mallet.grmm.inference.Utils
 
toSortedFeatureIndexSequence() - Method in class cc.mallet.types.FeatureSequence
 
toSparseVector() - Method in class cc.mallet.types.AugmentableFeatureVector
 
toString() - Method in class cc.mallet.classify.ClassifierTrainer.Factory
 
toString() - Method in class cc.mallet.classify.evaluate.ConfusionMatrix
 
toString() - Method in class cc.mallet.classify.MaxEntTrainer
Like the other version of trainWithFeatureInduction, but allows some default options to be changed.
toString() - Method in class cc.mallet.classify.MCMaxEntTrainer
 
toString() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
toString() - Method in class cc.mallet.classify.NaiveBayesTrainer
Create a NaiveBayes classifier from a set of training data and the previous state of the trainer.
toString() - Method in class cc.mallet.classify.RankMaxEntTrainer
Like the other version of trainWithFeatureInduction, but allows some default options to be changed.
toString() - Method in class cc.mallet.cluster.Clustering
 
toString() - Method in class cc.mallet.cluster.GreedyAgglomerative
 
toString() - Method in class cc.mallet.cluster.GreedyAgglomerativeByDensity
 
toString() - Method in class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
 
toString() - Method in class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
 
toString() - Method in class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator
 
toString() - Method in class cc.mallet.cluster.neighbor_evaluator.Neighbor
 
toString() - Method in class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator
 
toString() - Method in class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
 
toString() - Method in class cc.mallet.cluster.Record
 
toString(boolean) - Method in class cc.mallet.cluster.Record
 
toString() - Method in class cc.mallet.cluster.util.PairwiseMatrix
 
toString() - Method in class cc.mallet.extract.Field
 
toString() - Method in class cc.mallet.extract.LabeledSpan
 
toString() - Method in class cc.mallet.extract.StringSpan
 
toString() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
 
toString() - Method in class cc.mallet.fst.confidence.ConfidenceEvaluator
 
toString() - Method in class cc.mallet.fst.Segment
 
toString() - Method in class cc.mallet.grmm.inference.SamplingInferencer
 
toString() - Method in class cc.mallet.grmm.learning.ACRF.BigramTemplate
 
toString() - Method in class cc.mallet.grmm.learning.ACRF.PairwiseFactorTemplate
 
toString() - Method in class cc.mallet.grmm.learning.ACRF.UnigramTemplate
 
toString() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
toString() - Method in class cc.mallet.grmm.types.BetaFactor
 
toString() - Method in class cc.mallet.grmm.types.BidirectionalIntObjectMap
Return String representation of all Alphabet entries, each separated by a newline.
toString() - Method in class cc.mallet.grmm.types.BitVarSet
 
toString() - Method in class cc.mallet.grmm.types.ConstantFactor
 
toString() - Method in class cc.mallet.grmm.types.CPT
 
toString() - Method in class cc.mallet.grmm.types.FactorGraph
 
toString() - Method in class cc.mallet.grmm.types.HashVarSet
 
toString() - Method in class cc.mallet.grmm.types.ListVarSet
 
toString() - Method in class cc.mallet.grmm.types.NormalFactor
 
toString() - Method in class cc.mallet.grmm.types.UniformFactor
 
toString() - Method in class cc.mallet.grmm.types.UniNormalFactor
 
toString() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
toString() - Method in class cc.mallet.grmm.types.Variable
 
toString() - Method in class cc.mallet.pipe.SelectiveSGML2TokenSequence
 
toString() - Method in class cc.mallet.pipe.SerialPipes
 
toString() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
toString() - Method in class cc.mallet.types.Alphabet
Return String representation of all Alphabet entries, each separated by a newline.
toString() - Method in class cc.mallet.types.ArraySequence
 
toString() - Method in class cc.mallet.types.FeatureSequence
 
toString() - Method in class cc.mallet.types.FeatureVector
 
toString(boolean) - Method in class cc.mallet.types.FeatureVector
 
toString() - Method in class cc.mallet.types.FeatureVectorSequence
 
toString() - Method in class cc.mallet.types.Label
 
toString() - Method in class cc.mallet.types.Labels
 
toString() - Method in class cc.mallet.types.LabelsSequence
 
toString() - Method in class cc.mallet.types.LogNumber
 
toString() - Method in class cc.mallet.types.Matrix2
Deprecated.  
toString(Object) - Static method in class cc.mallet.types.MatrixOps
Print a space-separated array of elements
toString() - Method in class cc.mallet.types.MultiInstanceList
 
toString() - Method in class cc.mallet.types.ROCData
 
toString() - Method in class cc.mallet.types.SparseVector
 
toString(boolean) - Method in class cc.mallet.types.SparseVector
 
toString() - Method in class cc.mallet.types.StringEditFeatureVectorSequence
 
toString() - Method in class cc.mallet.types.Token
 
toString() - Method in class cc.mallet.types.TokenSequence
 
toString(int[]) - Static method in class cc.mallet.util.ArrayUtils
 
toString(double[]) - Static method in class cc.mallet.util.ArrayUtils
 
toString(Object[]) - Static method in class cc.mallet.util.ArrayUtils
 
toString() - Method in class cc.mallet.util.search.SearchNode
 
toStringShort() - Method in class cc.mallet.types.TokenSequence
 
toStringWithFeatureNames() - Method in class cc.mallet.types.Token
 
totalCount - Variable in class cc.mallet.cluster.iterator.PairSampleIterator
 
totalDocTopics - Variable in class cc.mallet.topics.NPTopicModel
 
totalElapsedTime() - Method in class cc.mallet.util.Timing
Returns the number of milliseconds since this object was created.
totalFlopsElapsed() - Method in class cc.mallet.grmm.util.Flops.Watch
 
totalNanos - Variable in class cc.mallet.pipe.StringList2FeatureSequence
 
totalTokens - Variable in class cc.mallet.topics.ParallelTopicModel
 
totalWeight - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
toValueArray() - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
toValueArray() - Method in class cc.mallet.grmm.types.CPT
 
toValueArray() - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
toVariableArray() - Method in class cc.mallet.grmm.types.BitVarSet
 
toVariableArray() - Method in class cc.mallet.grmm.types.HashVarSet
 
toVariableArray() - Method in class cc.mallet.grmm.types.ListVarSet
 
toVariableArray() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
toVariableArray() - Method in interface cc.mallet.grmm.types.VarSet
Returns the variables in this clique as an array, that should not be modified.
toXML() - Method in class cc.mallet.topics.TopicModelDiagnostics
 
toXmlDocument() - Method in class cc.mallet.extract.DocumentExtraction
 
toXmlDocument(String, Namespace) - Method in class cc.mallet.extract.DocumentExtraction
 
toXmlString() - Method in class cc.mallet.extract.DocumentExtraction
 
train(InstanceList) - Method in class cc.mallet.classify.AdaBoostM2Trainer
Boosting method that resamples instances using their weights
train(InstanceList) - Method in class cc.mallet.classify.AdaBoostTrainer
Boosting method that resamples instances using their weights
train(InstanceList) - Method in class cc.mallet.classify.BaggingTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.BalancedWinnowTrainer
Trains the classifier on the instance list, updating class weight vectors as appropriate
train(InstanceList) - Method in class cc.mallet.classify.C45Trainer
 
train(InstanceList) - Method in class cc.mallet.classify.ClassifierEnsembleTrainer
 
train(InstanceList, Labeler, int) - Method in interface cc.mallet.classify.ClassifierTrainer.ByActiveLearning
 
train(InstanceList, int) - Method in interface cc.mallet.classify.ClassifierTrainer.ByOptimization
 
train(InstanceList) - Method in class cc.mallet.classify.ClassifierTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.ConfidencePredictingClassifierTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.DecisionTreeTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.FeatureSelectingClassifierTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.MaxEntGETrainer
 
train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntGETrainer
 
train(InstanceList) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
train(InstanceList, int, int) - Method in class cc.mallet.classify.MaxEntPRTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.MaxEntTrainer
 
train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.MCMaxEntTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.NaiveBayesEMTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.NaiveBayesTrainer
Create a NaiveBayes classifier from a set of training data.
train(InstanceList) - Method in class cc.mallet.classify.RankMaxEntTrainer
 
train(InstanceList) - Method in class cc.mallet.classify.WinnowTrainer
Trains winnow on the instance list, updating weights according to errors
train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
train(InstanceList, int, double[]) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
Train a CRF on various-sized subsets of the data.
train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
train(InstanceList, int, int) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
train(InstanceList, int, double[]) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
Train a CRF on various-sized subsets of the data.
train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Trains a CRF until convergence or specified number of iterations, whichever is earlier.
train(InstanceList, int, double[]) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Train a CRF on various-sized subsets of the data.
train(InstanceList) - Method in class cc.mallet.fst.HMM
Trains a HMM without validation and evaluation.
train(InstanceList, InstanceList, InstanceList) - Method in class cc.mallet.fst.HMM
Trains a HMM with evaluator set to null.
train(InstanceList, InstanceList, InstanceList, TransducerEvaluator) - Method in class cc.mallet.fst.HMM
 
train(InstanceList, int) - Method in class cc.mallet.fst.HMMTrainerByLikelihood
 
train(InstanceList, InstanceList, int) - Method in class cc.mallet.fst.HMMTrainerByLikelihood
 
train(InstanceList) - Method in class cc.mallet.fst.MEMMTrainer
Trains a MEMM until convergence.
train(InstanceList, int) - Method in class cc.mallet.fst.MEMMTrainer
Trains a MEMM for specified number of iterations or until convergence whichever occurs first; returns true if training converged within specified iterations.
train(InstanceList, InstanceList, InstanceList, TransducerEvaluator, int, int, double[]) - Method in class cc.mallet.fst.MEMMTrainer
Not implemented yet.
train(InstanceList) - Method in class cc.mallet.fst.NoopTransducerTrainer
 
train(InstanceList, int) - Method in class cc.mallet.fst.NoopTransducerTrainer
 
train(InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
 
train(InstanceList, InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
Performs CRF training with label likelihood and entropy regularization.
train(InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
 
train(InstanceList, InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
train(InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
 
train(InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
train(InstanceList, int, int) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
train(InstanceList, int, int, int) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
 
train(InstanceList, int) - Method in class cc.mallet.fst.ShallowTransducerTrainer
Deprecated.  
train(InstanceList, InstanceList, TransducerEvaluator, int[], String, String, String, boolean, int, double, CRF) - Static method in class cc.mallet.fst.SimpleTagger
Create and train a CRF model from the given training data, optionally testing it on the given test data.
train(InstanceList) - Method in class cc.mallet.fst.TransducerTrainer
 
train(InstanceList, int) - Method in class cc.mallet.fst.TransducerTrainer
Train the transducer associated with this TransducerTrainer.
train(ACRF, InstanceList) - Method in interface cc.mallet.grmm.learning.ACRFTrainer
 
train(ACRF, InstanceList, int) - Method in interface cc.mallet.grmm.learning.ACRFTrainer
 
train(ACRF, InstanceList, ACRFEvaluator, int) - Method in interface cc.mallet.grmm.learning.ACRFTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, int) - Method in interface cc.mallet.grmm.learning.ACRFTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int) - Method in interface cc.mallet.grmm.learning.ACRFTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int, Optimizable.ByGradientValue) - Method in interface cc.mallet.grmm.learning.ACRFTrainer
 
train(ACRF, InstanceList) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, ACRFEvaluator, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int, Optimizable.ByGradientValue) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, double[], int) - Method in class cc.mallet.grmm.learning.DefaultAcrfTrainer
 
train(ACRF, InstanceList, InstanceList, InstanceList, ACRFEvaluator, int, Optimizable.ByGradientValue) - Method in class cc.mallet.grmm.learning.PwplACRFTrainer
 
train(String[][], String[], double, File) - Static method in class cc.mallet.share.upenn.MaxEntShell
Train a maxent classifier.
train(Iterator<Instance>, double, File) - Static method in class cc.mallet.share.upenn.MaxEntShell
Train a maxent classifier.
trainAcrf() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
Trains a new ACRF object with the given settings.
trainClassifier(InstanceList, String, String) - Method in class cc.mallet.fst.confidence.MaxEntConfidenceEstimator
 
trainClassifier(InstanceList, String, String) - Method in class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
Train underlying classifier on ilist.
TrainCRF - Class in cc.mallet.examples
 
TrainCRF(String, String) - Constructor for class cc.mallet.examples.TrainCRF
 
trainExtractor() - Method in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
trainGE(InstanceList, InstanceList, ArrayList<GEConstraint>, CRF, TransducerEvaluator, int, double, int) - Static method in class cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints
Create and train a CRF model from the given training data, optionally testing it on the given test data.
TrainHMM - Class in cc.mallet.examples
 
TrainHMM(String, String) - Constructor for class cc.mallet.examples.TrainHMM
 
trainIncremental(InstanceList) - Method in interface cc.mallet.classify.ClassifierTrainer.ByIncrements
 
trainIncremental(Instance) - Method in interface cc.mallet.classify.ClassifierTrainer.ByInstanceIncrements
 
trainIncremental(InstanceList) - Method in class cc.mallet.classify.NaiveBayesTrainer
 
trainIncremental(Instance) - Method in class cc.mallet.classify.NaiveBayesTrainer
 
trainIncremental(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
trainIncremental(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
trainIncremental(Instance) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
 
trainIncremental(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
 
trainIncremental(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
Trains a CRF until convergence.
trainIncremental(InstanceList) - Method in class cc.mallet.fst.TransducerTrainer.ByIncrements
 
trainIncremental(Instance) - Method in class cc.mallet.fst.TransducerTrainer.ByInstanceIncrements
 
trainIncrementalLikelihood(Instance) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
Adjust the parameters by default learning rate according to the gradient of this single Instance, and return the true label sequence likelihood.
trainIncrementalLikelihood(Instance, double) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
Adjust the parameters by learning rate according to the gradient of this single Instance, and return the true label sequence likelihood.
training - Variable in class cc.mallet.grmm.learning.extract.ACRFExtractorTrainer
 
trainingList - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
 
trainingSet - Variable in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood
 
trainingSet - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
 
trainingSet - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
 
trainingSet - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
trainingSet - Variable in class cc.mallet.fst.ThreadedOptimizable
Data
trainPR(InstanceList, InstanceList, ArrayList<PRConstraint>, CRF, TransducerEvaluator, int, double) - Static method in class cc.mallet.fst.semi_supervised.tui.SimpleTaggerWithConstraints
Create and train a CRF model from the given training data, optionally testing it on the given test data.
trainWithFeatureInduction(InstanceList, InstanceList, InstanceList, TransducerEvaluator, int, int, int, int, double, boolean, double[]) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
 
trainWithFeatureInduction(InstanceList, InstanceList, InstanceList, TransducerEvaluator, int, int, int, int, double, boolean, double[], String) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
Train a CRF using feature induction to generate conjunctions of features.
trainWithFeatureInduction(InstanceList, InstanceList, InstanceList, TransducerEvaluator, int, int, int, int, double, boolean, double[], String) - Method in class cc.mallet.fst.MEMMTrainer
Not implemented yet.
transduce(Instance) - Method in class cc.mallet.fst.Transducer
Take input sequence from instance.data and put the output sequence in instance.data.
transduce(Sequence) - Method in class cc.mallet.fst.Transducer
Converts the given sequence into another sequence according to this transducer.
transducer - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
 
transducer - Variable in class cc.mallet.fst.semi_supervised.GELattice
 
transducer - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 
transducer - Variable in class cc.mallet.fst.ShallowTransducerTrainer
Deprecated.  
Transducer - Class in cc.mallet.fst
A base class for all sequence models, analogous to classify.Classifier.
Transducer() - Constructor for class cc.mallet.fst.Transducer
Initializes default sum-product and max-product inference engines.
Transducer(Pipe, Pipe) - Constructor for class cc.mallet.fst.Transducer
 
Transducer.Incrementor - Interface in cc.mallet.fst
Methods to be called by inference methods to indicate partial counts of sufficient statistics.
Transducer.State - Class in cc.mallet.fst
An abstract class used to represent the states of the transducer.
Transducer.State() - Constructor for class cc.mallet.fst.Transducer.State
 
Transducer.TransitionIterator - Class in cc.mallet.fst
An abstract class to iterate over the states of the transducer.
Transducer.TransitionIterator() - Constructor for class cc.mallet.fst.Transducer.TransitionIterator
 
TransducerConfidenceEstimator - Class in cc.mallet.fst.confidence
Abstract class that estimates the confidence of a Segment extracted by a Transducer.
TransducerConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.TransducerConfidenceEstimator
 
TransducerCorrector - Interface in cc.mallet.fst.confidence
Interface for transducerCorrectors, which correct a subset of the Segments produced by a Transducer.
TransducerEvaluator - Class in cc.mallet.fst
An abstract class to evaluate a transducer model.
TransducerEvaluator() - Constructor for class cc.mallet.fst.TransducerEvaluator
 
TransducerEvaluator(InstanceList[], String[]) - Constructor for class cc.mallet.fst.TransducerEvaluator
 
TransducerExtractionConfidenceEstimator - Class in cc.mallet.extract
Estimates the confidence in the labeling of a LabeledSpan using a TransducerConfidenceEstimator.
TransducerExtractionConfidenceEstimator(TransducerConfidenceEstimator, Object[], Object[], Pipe) - Constructor for class cc.mallet.extract.TransducerExtractionConfidenceEstimator
 
TransducerSequenceConfidenceEstimator - Class in cc.mallet.fst.confidence
Abstract class that estimates the confidence of a Sequence extracted by a Transducer.Note that this is different from TransducerConfidenceEstimator, which estimates the confidence for a single Segment.
TransducerSequenceConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.TransducerSequenceConfidenceEstimator
 
TransducerTrainer - Class in cc.mallet.fst
An abstract class to train and evaluate a transducer model.
TransducerTrainer() - Constructor for class cc.mallet.fst.TransducerTrainer
 
TransducerTrainer.ByIncrements - Class in cc.mallet.fst
 
TransducerTrainer.ByIncrements() - Constructor for class cc.mallet.fst.TransducerTrainer.ByIncrements
 
TransducerTrainer.ByInstanceIncrements - Class in cc.mallet.fst
 
TransducerTrainer.ByInstanceIncrements() - Constructor for class cc.mallet.fst.TransducerTrainer.ByInstanceIncrements
 
TransducerTrainer.ByOptimization - Interface in cc.mallet.fst
 
transformedToken(String) - Method in class cc.mallet.share.weili.ner.WordTransformation
 
transitionIterator(Sequence, int, Sequence, int) - Method in class cc.mallet.fst.CRF.State
 
transitionIterator(FeatureVector, String) - Method in class cc.mallet.fst.CRF.State
 
transitionIterator(Sequence, int, Sequence, int) - Method in class cc.mallet.fst.FeatureTransducer.State
 
transitionIterator(Sequence, int) - Method in class cc.mallet.fst.FeatureTransducer.State
 
transitionIterator(Object) - Method in class cc.mallet.fst.FeatureTransducer.State
 
transitionIterator(int) - Method in class cc.mallet.fst.FeatureTransducer.State
 
transitionIterator() - Method in class cc.mallet.fst.FeatureTransducer.State
 
transitionIterator(Sequence, int, Sequence, int) - Method in class cc.mallet.fst.HMM.State
 
transitionIterator(Sequence, int, Sequence, int) - Method in class cc.mallet.fst.MEMM.State
 
transitionIterator(Sequence, int, Sequence, int) - Method in class cc.mallet.fst.Transducer.State
 
transitionIterator(Sequence, int) - Method in class cc.mallet.fst.Transducer.State
 
transitionIterator() - Method in class cc.mallet.fst.Transducer.State
 
transitionProbList - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
transpose() - Method in class cc.mallet.types.Matrix2
Deprecated.  
Tree - Class in cc.mallet.grmm.types
Class for arbitrary trees, based on implementation in OpenJGraph.
Tree() - Constructor for class cc.mallet.grmm.types.Tree
 
treeAlgs - Variable in class cc.mallet.grmm.test.TestInference
 
TreeBP - Class in cc.mallet.grmm.inference
Implements the tree-based schedule of belief propagation for exact inference in trees.
TreeBP() - Constructor for class cc.mallet.grmm.inference.TreeBP
 
Trial - Class in cc.mallet.classify
Stores the results of classifying a collection of Instances, and provides many methods for evaluating the results.
Trial(Classifier, InstanceList) - Constructor for class cc.mallet.classify.Trial
 
TrieLexiconMembership - Class in cc.mallet.pipe.tsf
 
TrieLexiconMembership(String, Reader, boolean) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
 
TrieLexiconMembership(String, Reader, boolean, boolean, String) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
 
TrieLexiconMembership(String, File, boolean) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
 
TrieLexiconMembership(String, File, boolean, boolean, String) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
 
TrieLexiconMembership(File, boolean) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
 
TrieLexiconMembership(File) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
 
trigamma(double) - Static method in class cc.mallet.types.Dirichlet
 
trimToSize() - Method in class cc.mallet.types.MultiInstanceList
 
TRP - Class in cc.mallet.grmm.inference
Implementation of Wainwright's TRP schedule for loopy BP in general graphical models.
TRP() - Constructor for class cc.mallet.grmm.inference.TRP
 
TRP(TRP.TreeFactory) - Constructor for class cc.mallet.grmm.inference.TRP
 
TRP(TRP.TerminationCondition) - Constructor for class cc.mallet.grmm.inference.TRP
 
TRP(TRP.TreeFactory, TRP.TerminationCondition) - Constructor for class cc.mallet.grmm.inference.TRP
 
TRP.AlmostRandomTreeFactory - Class in cc.mallet.grmm.inference
Always adds edges that have not been touched, after that adds random edges.
TRP.AlmostRandomTreeFactory() - Constructor for class cc.mallet.grmm.inference.TRP.AlmostRandomTreeFactory
 
TRP.ConvergenceTerminator - Class in cc.mallet.grmm.inference
 
TRP.ConvergenceTerminator() - Constructor for class cc.mallet.grmm.inference.TRP.ConvergenceTerminator
 
TRP.ConvergenceTerminator(double) - Constructor for class cc.mallet.grmm.inference.TRP.ConvergenceTerminator
 
TRP.DefaultConvergenceTerminator - Class in cc.mallet.grmm.inference
 
TRP.DefaultConvergenceTerminator() - Constructor for class cc.mallet.grmm.inference.TRP.DefaultConvergenceTerminator
 
TRP.DefaultConvergenceTerminator(double, int) - Constructor for class cc.mallet.grmm.inference.TRP.DefaultConvergenceTerminator
 
TRP.IterationTerminator - Class in cc.mallet.grmm.inference
 
TRP.IterationTerminator(int) - Constructor for class cc.mallet.grmm.inference.TRP.IterationTerminator
 
TRP.TerminationCondition - Interface in cc.mallet.grmm.inference
 
TRP.TreeFactory - Interface in cc.mallet.grmm.inference
Interface for tree-generation strategies for TRP.
TRP.TreeListFactory - Class in cc.mallet.grmm.inference
Generates spanning trees cyclically from a predefined collection.
TRP.TreeListFactory(List) - Constructor for class cc.mallet.grmm.inference.TRP.TreeListFactory
 
TRP.TreeListFactory(Tree[]) - Constructor for class cc.mallet.grmm.inference.TRP.TreeListFactory
 
TRUE_NEGATIVE - Static variable in class cc.mallet.types.ROCData
 
TRUE_POSITIVE - Static variable in class cc.mallet.types.ROCData
 
trueCounts - Variable in class cc.mallet.grmm.learning.DefaultAcrfTrainer.TestResults
 
TUI - Class in cc.mallet.share.mccallum.ner
 
TUI() - Constructor for class cc.mallet.share.mccallum.ner.TUI
 
TUI - Class in cc.mallet.share.weili.ner.enron
 
TUI() - Constructor for class cc.mallet.share.weili.ner.enron.TUI
 
TWO_PERCENT_INDEX - Static variable in class cc.mallet.topics.TopicModelDiagnostics
 
TwoLabelGEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on distributions over pairs of consecutive labels conditioned on the presence of input features.
TwoLabelGEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
TwoLabelGEConstraints(ArrayList<TwoLabelGEConstraints.TwoLabelGEConstraint>, TIntIntHashMap, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
TwoLabelGEConstraints.TwoLabelGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
 
TwoLabelGEConstraints.TwoLabelGEConstraint(double[][], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
 
TwoLabelKLGEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on distributions over consecutive labels conditioned an input features.
TwoLabelKLGEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints
 
TwoLabelKLGEConstraints.TwoLabelKLGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
 
TwoLabelKLGEConstraints.TwoLabelKLGEConstraint(double[][], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints.TwoLabelKLGEConstraint
 
TwoLabelL2GEConstraints - Class in cc.mallet.fst.semi_supervised.constraints
A set of constraints on distributions over consecutive labels conditioned an input features.
TwoLabelL2GEConstraints() - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints
 
TwoLabelL2GEConstraints.TwoLabelL2GEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
 
TwoLabelL2GEConstraints.TwoLabelL2GEConstraint(double[][], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints.TwoLabelL2GEConstraint
 
twoNorm() - Method in class cc.mallet.types.AugmentableFeatureVector
 
twoNorm() - Method in interface cc.mallet.types.ConstantMatrix
 
twoNorm() - Method in class cc.mallet.types.DenseMatrix
 
twoNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
 
twoNorm() - Method in class cc.mallet.types.SparseMatrixn
 
twoNorm() - Method in class cc.mallet.types.SparseVector
 
twoNormalize() - Method in class cc.mallet.types.DenseMatrix
 
twoNormalize() - Method in interface cc.mallet.types.Matrix
 
twoNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
 
twoNormalize() - Method in class cc.mallet.types.SparseMatrixn
 
twoNormSquared() - Method in class cc.mallet.types.Matrix2
Deprecated.  
twoNormSquared(double[]) - Static method in class cc.mallet.types.MatrixOps
 
typeTopicCounts - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
typeTopicCounts - Variable in class cc.mallet.topics.MarginalProbEstimator
 
typeTopicCounts - Variable in class cc.mallet.topics.NPTopicModel
 
typeTopicCounts - Variable in class cc.mallet.topics.ParallelTopicModel
 
typeTopicCounts - Variable in class cc.mallet.topics.SimpleLDA
 
typeTopicCounts - Variable in class cc.mallet.topics.TopicInferencer
 
typeTopicCounts - Variable in class cc.mallet.topics.WorkerRunnable
 

U

UNASSIGNED_TOPIC - Static variable in class cc.mallet.topics.ParallelTopicModel
 
UndirectedGrid - Class in cc.mallet.grmm.types
A grid-shaped undirected graphical model.
UndirectedGrid(int, int, int) - Constructor for class cc.mallet.grmm.types.UndirectedGrid
Creates an undirected grid and its associated Variable objects.
UndirectedModel - Class in cc.mallet.grmm.types
Class for pairwise undirected graphical models, also known as pairwise Markov random fields.
UndirectedModel() - Constructor for class cc.mallet.grmm.types.UndirectedModel
 
UndirectedModel(Variable[]) - Constructor for class cc.mallet.grmm.types.UndirectedModel
 
UndirectedModel(int) - Constructor for class cc.mallet.grmm.types.UndirectedModel
 
unfreezeWeights(String) - Method in class cc.mallet.fst.CRF
Unfreezes a set of weights.
unhideAllLabels() - Method in class cc.mallet.types.InstanceList
 
UNICODE_LETTERS - Static variable in class cc.mallet.util.CharSequenceLexer
 
UniformFactor - Class in cc.mallet.grmm.types
$Id: UniformFactor.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $
UniformFactor(Variable, double, double) - Constructor for class cc.mallet.grmm.types.UniformFactor
 
UniformFactor(Variable, double, double, double) - Constructor for class cc.mallet.grmm.types.UniformFactor
 
UniNormalFactor - Class in cc.mallet.grmm.types
Univariate Gaussian factor.
UniNormalFactor(Variable, double, double) - Constructor for class cc.mallet.grmm.types.UniNormalFactor
 
union(Assignment, Assignment) - Static method in class cc.mallet.grmm.types.Assignment
Returns the union of two Assignments.
union(Collection, Collection) - Static method in class cc.mallet.util.CollectionUtils
 
uniqueFile(File, String, String) - Static method in class cc.mallet.util.FileUtils
Creates a file, making sure that its name is unique.
Univariate - Class in cc.mallet.util
 
Univariate(double[]) - Constructor for class cc.mallet.util.Univariate
 
Universe - Class in cc.mallet.grmm.types
A global mapping between variables and indices.
Universe() - Constructor for class cc.mallet.grmm.types.Universe
 
UnlabeledFileIterator - Class in cc.mallet.pipe.iterator
An iterator that generates instances from an initial directory or set of directories.
UnlabeledFileIterator(File[], FileFilter) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
Construct a FileIterator that will supply filenames within initial directories as instances
UnlabeledFileIterator(String[], FileFilter) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
UnlabeledFileIterator(File, FileFilter) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
UnlabeledFileIterator(File) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
UnlabeledFileIterator(File[]) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
UnlabeledFileIterator(String) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
UnlabeledFileIterator(String, FileFilter) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
 
unLock() - Method in class cc.mallet.types.Instance
 
UnmodifiableVarSet - Class in cc.mallet.grmm.types
Created: Dec 15, 2005
UnmodifiableVarSet(VarSet) - Constructor for class cc.mallet.grmm.types.UnmodifiableVarSet
 
unnormalizedMarginal(FactorGraph, Variable) - Method in class cc.mallet.grmm.inference.VariableElimination
The bulk of the variable-elimination algorithm.
unroll(Instance) - Method in class cc.mallet.grmm.learning.ACRF
 
unrolledVarSetIterator() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
unrollStructureOnly(Instance) - Method in class cc.mallet.grmm.learning.ACRF
 
updateScoreMatrix(Clustering, int, int) - Method in class cc.mallet.cluster.GreedyAgglomerative
Resets the values of clusters that have been merged.
upper - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
upper - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
uriStringToFilename(String) - Static method in class cc.mallet.util.UriUtils
Convert a string-representation of a URI into a string that could be a filename.
UriUtils - Class in cc.mallet.util
 
UriUtils() - Constructor for class cc.mallet.util.UriUtils
 
USE_DEFAULT_ENGLISH_STOPLIST - Static variable in class cc.mallet.pipe.SimpleTokenizer
 
USE_EMPTY_STOPLIST - Static variable in class cc.mallet.pipe.SimpleTokenizer
 
useCaching - Variable in class cc.mallet.grmm.inference.AbstractBeliefPropagation
 
useGaussianPrior() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelDistribution
 
useGaussianPrior() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
useHyperbolicPrior() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
 
useNoPrior() - Method in class cc.mallet.classify.MaxEntOptimizableByLabelLikelihood
In some cases a prior term is implemented in the optimizer, (eg orthant-wise L-BFGS), so we occasionally want to only calculate the log likelihood.
useValues - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
useValues - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
usingSymmetricAlpha - Variable in class cc.mallet.topics.ParallelTopicModel
 
Utils - Class in cc.mallet.grmm.inference
A bunch of static utilities useful for dealing with Inferencers.
Utils() - Constructor for class cc.mallet.grmm.inference.Utils
 
UU_ENCODED_LINE - Static variable in class cc.mallet.pipe.CharSequenceRemoveUUEncodedBlocks
Given a string, remove lines that begin with M and are 61 characters long.

V

validationSet - Variable in class cc.mallet.classify.ClassifierTrainer
 
value(String) - Method in class cc.mallet.cluster.Record
 
value(int) - Method in class cc.mallet.cluster.Record
 
value(int) - Method in class cc.mallet.extract.Field
 
value(Assignment) - Method in class cc.mallet.grmm.types.AbstractFactor
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.AbstractFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.AbstractTableFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.BetaFactor
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.BinaryUnaryFactor
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.ConstantFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.CPT
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.CPT
 
value(int) - Method in class cc.mallet.grmm.types.CPT
 
value(int) - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
value(Assignment) - Method in interface cc.mallet.grmm.types.Factor
Returns the value of the local function for a given assignment.
value(AssignmentIterator) - Method in interface cc.mallet.grmm.types.Factor
Returns the probability of an assignment to these variables.
value(Assignment) - Method in class cc.mallet.grmm.types.FactorGraph
FACTOR IMPLEMENTATION
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.FactorGraph
 
value(Assignment) - Method in class cc.mallet.grmm.types.LogTableFactor
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.LogTableFactor
 
value(int) - Method in class cc.mallet.grmm.types.LogTableFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.NormalFactor
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.PottsTableFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.TableFactor
 
value(int) - Method in class cc.mallet.grmm.types.TableFactor
 
value(AssignmentIterator) - Method in class cc.mallet.grmm.types.TableFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.UniformFactor
 
value(Assignment) - Method in class cc.mallet.grmm.types.UniNormalFactor
 
value(int) - Method in class cc.mallet.types.AugmentableFeatureVector
 
value(int[]) - Method in interface cc.mallet.types.ConstantMatrix
 
value(int[]) - Method in class cc.mallet.types.DenseMatrix
 
value(int[]) - Method in class cc.mallet.types.DenseVector
 
value(int) - Method in class cc.mallet.types.DenseVector
 
value(Object) - Method in class cc.mallet.types.FeatureVector
 
value(Label) - Method in class cc.mallet.types.Label
 
value(int) - Method in class cc.mallet.types.Label
 
value(Label) - Method in interface cc.mallet.types.Labeling
 
value(int) - Method in interface cc.mallet.types.Labeling
 
value(Label) - Method in class cc.mallet.types.LabelVector
 
value(int, int) - Method in class cc.mallet.types.Matrix2
Deprecated.  
value(int[]) - Method in class cc.mallet.types.Matrix2
Deprecated.  
value(int[]) - Method in class cc.mallet.types.Matrixn
 
value(int[]) - Method in class cc.mallet.types.SparseMatrixn
 
value(int[]) - Method in class cc.mallet.types.SparseVector
 
value(int) - Method in class cc.mallet.types.SparseVector
 
value(int) - Method in interface cc.mallet.types.Vector
Deprecated.  
value - Variable in class cc.mallet.util.CommandOption.Boolean
 
value() - Method in class cc.mallet.util.CommandOption.Boolean
 
value - Variable in class cc.mallet.util.CommandOption.Double
 
value() - Method in class cc.mallet.util.CommandOption.Double
 
value - Variable in class cc.mallet.util.CommandOption.DoubleArray
 
value() - Method in class cc.mallet.util.CommandOption.DoubleArray
 
value - Variable in class cc.mallet.util.CommandOption.File
 
value() - Method in class cc.mallet.util.CommandOption.File
 
value - Variable in class cc.mallet.util.CommandOption.Integer
 
value() - Method in class cc.mallet.util.CommandOption.Integer
 
value - Variable in class cc.mallet.util.CommandOption.IntegerArray
 
value() - Method in class cc.mallet.util.CommandOption.IntegerArray
 
value - Variable in class cc.mallet.util.CommandOption.Object
 
value() - Method in class cc.mallet.util.CommandOption.Object
 
value() - Method in class cc.mallet.util.CommandOption.ObjectFromBean
 
value - Variable in class cc.mallet.util.CommandOption.Set
 
value() - Method in class cc.mallet.util.CommandOption.Set
 
value - Variable in class cc.mallet.util.CommandOption.SpacedStrings
 
value() - Method in class cc.mallet.util.CommandOption.SpacedStrings
 
value - Variable in class cc.mallet.util.CommandOption.String
 
value() - Method in class cc.mallet.util.CommandOption.String
 
valueAlphabet() - Method in class cc.mallet.cluster.Record
 
valueAtLocation(int) - Method in class cc.mallet.grmm.types.CPT
 
valueAtLocation(int) - Method in interface cc.mallet.grmm.types.DiscreteFactor
 
valueAtLocation(int) - Method in class cc.mallet.grmm.types.LogTableFactor
 
valueAtLocation(int) - Method in class cc.mallet.grmm.types.TableFactor
 
valueAtLocation(int) - Method in class cc.mallet.types.AugmentableFeatureVector
 
valueAtLocation(int) - Method in interface cc.mallet.types.ConstantMatrix
 
valueAtLocation(int) - Method in class cc.mallet.types.DenseMatrix
 
valueAtLocation(int) - Method in class cc.mallet.types.Label
 
valueAtLocation(int) - Method in interface cc.mallet.types.Labeling
 
valueAtLocation(int) - Method in class cc.mallet.types.SparseMatrixn
 
valueAtLocation(int) - Method in class cc.mallet.types.SparseVector
 
valueCache - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
valueCache - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
valueCache - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
valueOfCorrectLabel() - Method in class cc.mallet.classify.Classification
 
values(String) - Method in class cc.mallet.cluster.Record
 
values(int) - Method in class cc.mallet.cluster.Record
 
values - Variable in class cc.mallet.types.SparseVector
 
valueToString() - Method in class cc.mallet.util.CommandOption.Boolean
 
valueToString() - Method in class cc.mallet.util.CommandOption.Double
 
valueToString() - Method in class cc.mallet.util.CommandOption.DoubleArray
 
valueToString() - Method in class cc.mallet.util.CommandOption.File
 
valueToString() - Method in class cc.mallet.util.CommandOption.Integer
 
valueToString() - Method in class cc.mallet.util.CommandOption.IntegerArray
 
valueToString() - Method in class cc.mallet.util.CommandOption.Object
 
valueToString() - Method in class cc.mallet.util.CommandOption.ObjectFromBean
 
valueToString() - Method in class cc.mallet.util.CommandOption.Set
 
valueToString() - Method in class cc.mallet.util.CommandOption.SpacedStrings
 
valueToString() - Method in class cc.mallet.util.CommandOption.String
 
valueToString() - Method in class cc.mallet.util.CommandOption
 
varDimensions() - Method in class cc.mallet.grmm.learning.ACRF.UnrolledVarSet
 
Variable - Class in cc.mallet.grmm.types
Class for a discrete random variable in a graphical model.
Variable(LabelAlphabet) - Constructor for class cc.mallet.grmm.types.Variable
Creates a new variable with the given outcomes.
Variable(Universe, LabelAlphabet) - Constructor for class cc.mallet.grmm.types.Variable
 
Variable(int) - Constructor for class cc.mallet.grmm.types.Variable
 
Variable(Universe, int) - Constructor for class cc.mallet.grmm.types.Variable
 
VariableElimination - Class in cc.mallet.grmm.inference
The variable elimination algorithm for inference in graphical models.
VariableElimination() - Constructor for class cc.mallet.grmm.inference.VariableElimination
 
variablesIterator() - Method in class cc.mallet.grmm.types.FactorGraph
 
variablesSet() - Method in class cc.mallet.grmm.types.FactorGraph
 
variance(double[]) - Static method in class cc.mallet.types.MatrixOps
Return the variance
variance() - Method in class cc.mallet.util.Univariate
 
variance(InstanceList, boolean) - Static method in class cc.mallet.util.VectorStats
Returns a SparseVector whose entries (taken from the union of those in the instances) are the variance of those in the InstanceList.
variance(InstanceList, SparseVector, boolean) - Static method in class cc.mallet.util.VectorStats
Returns a SparseVector whose entries (taken from the mean argument) are the variance of those in the InstanceList.
variance(InstanceList) - Static method in class cc.mallet.util.VectorStats
Returns unbiased variance
variance(InstanceList, SparseVector) - Static method in class cc.mallet.util.VectorStats
Returns unbiased variance of instances having the given mean.
varOfIndex(int, int) - Method in class cc.mallet.grmm.learning.ACRF.UnrolledGraph
 
varOfIndex(int, int) - Method in class cc.mallet.grmm.util.LabelsAssignment
 
vars - Variable in class cc.mallet.grmm.types.AbstractFactor
 
varSet() - Method in class cc.mallet.grmm.types.AbstractFactor
 
varSet() - Method in class cc.mallet.grmm.types.AbstractTableFactor
Returns set of variables in this potential.
varSet() - Method in class cc.mallet.grmm.types.CPT
 
varSet() - Method in interface cc.mallet.grmm.types.Factor
Returns set of variables in this potential.
varSet() - Method in class cc.mallet.grmm.types.FactorGraph
 
VarSet - Interface in cc.mallet.grmm.types
Interface for classes that maintain a set of variables in a specified order.
varSetIterator() - Method in class cc.mallet.grmm.types.FactorGraph
Returns an iterator of all the VarSets in the graph over which factors are defined.
Vector - Interface in cc.mallet.types
Deprecated. 
vectorAdd(SparseVector, double) - Method in class cc.mallet.types.SparseVector
 
Vectors2Classify - Class in cc.mallet.classify.tui
Classify documents, run trials, print statistics from a vector file.
Vectors2Classify() - Constructor for class cc.mallet.classify.tui.Vectors2Classify
 
Vectors2FeatureConstraints - Class in cc.mallet.classify.tui
Create "feature constraints" from data for use in GE training.
Vectors2FeatureConstraints() - Constructor for class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
Vectors2Info - Class in cc.mallet.classify.tui
Diagnostic facilities for a vector file.
Vectors2Info() - Constructor for class cc.mallet.classify.tui.Vectors2Info
 
Vectors2Topics - Class in cc.mallet.topics.tui
Perform topic analysis in the style of LDA and its variants.
Vectors2Topics() - Constructor for class cc.mallet.topics.tui.Vectors2Topics
 
Vectors2Vectors - Class in cc.mallet.classify.tui
A command-line tool for manipulating InstanceLists.
Vectors2Vectors() - Constructor for class cc.mallet.classify.tui.Vectors2Vectors
 
vectorsFile - Static variable in class cc.mallet.classify.tui.Vectors2FeatureConstraints
 
VectorStats - Class in cc.mallet.util
 
VectorStats() - Constructor for class cc.mallet.util.VectorStats
 
vertices() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
viewDualResults(File, Extraction, CRFExtractor, Extraction, CRFExtractor) - Static method in class cc.mallet.extract.LatticeViewer
 
ViterbiConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence by the probability of the Viterbi path normalized by the probabliity of the entire lattice.
ViterbiConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.ViterbiConfidenceEstimator
 
ViterbiRatioConfidenceEstimator - Class in cc.mallet.fst.confidence
Estimates the confidence of an entire sequence by the ration of the probabilities of the first and second best Viterbi paths.
ViterbiRatioConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.ViterbiRatioConfidenceEstimator
 
ViterbiWriter - Class in cc.mallet.fst
Prints the input instances along with the features and the true and predicted labels to a file.
ViterbiWriter(String, InstanceList[], String[]) - Constructor for class cc.mallet.fst.ViterbiWriter
 
ViterbiWriter(String, InstanceList, String) - Constructor for class cc.mallet.fst.ViterbiWriter
 
ViterbiWriter(String, InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.ViterbiWriter
 
ViterbiWriter(String, InstanceList, String, InstanceList, String, InstanceList, String) - Constructor for class cc.mallet.fst.ViterbiWriter
 
vocabularySizes - Variable in class cc.mallet.topics.PolylingualTopicModel
 

W

wasInvoked() - Method in class cc.mallet.util.CommandOption
Return true is this CommandOption was matched by one of the processed arguments.
weight - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
 
weight - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
 
weight - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
 
weight - Variable in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
 
weight - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
 
weight - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
 
weight() - Method in class cc.mallet.grmm.types.BitVarSet
 
weight() - Method in class cc.mallet.grmm.types.HashVarSet
 
weight() - Method in class cc.mallet.grmm.types.ListVarSet
 
weight() - Method in class cc.mallet.grmm.types.UnmodifiableVarSet
 
weight() - Method in interface cc.mallet.grmm.types.VarSet
Returns the number of assignments of this clique.
weight - Variable in class cc.mallet.types.SequencePairAlignment
 
weightAlphabet - Variable in class cc.mallet.fst.CRF.Factors
 
weights - Variable in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
 
weights - Variable in class cc.mallet.fst.CRF.Factors
 
weights - Variable in class cc.mallet.fst.CRF.TransitionIterator
 
weights - Variable in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
 
weights - Variable in class cc.mallet.fst.semi_supervised.pr.CachedDotTransitionIterator
 
weights - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
weights - Variable in class cc.mallet.grmm.learning.ACRF.Template
 
weightsFrozen - Variable in class cc.mallet.fst.CRF.Factors
 
weightsStructureChanged() - Method in class cc.mallet.fst.CRF
This method should be called whenever the CRFs weights (parameters) have their structure/arity/number changed.
weightsStructureChangeStamp - Variable in class cc.mallet.fst.CRF
 
weightsValueChanged() - Method in class cc.mallet.fst.CRF
This method should be called whenever the CRFs weights (parameters) are changed.
weightsValueChangeStamp - Variable in class cc.mallet.fst.CRF
 
Winnow - Class in cc.mallet.classify
Classification methods of Winnow2 algorithm.
Winnow(Pipe, double[][], double, int, int) - Constructor for class cc.mallet.classify.Winnow
Passes along data pipe and weights from WinnowTrainer
WinnowTrainer - Class in cc.mallet.classify
An implementation of the training methods of a Winnow2 on-line classifier.
WinnowTrainer() - Constructor for class cc.mallet.classify.WinnowTrainer
Default constructor.
WinnowTrainer(double, double) - Constructor for class cc.mallet.classify.WinnowTrainer
Sets alpha and beta and default value for theta
WinnowTrainer(double, double, double) - Constructor for class cc.mallet.classify.WinnowTrainer
Sets alpha, beta, and nfactor
wordScoresDefined - Variable in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
Some diagnostics have meaningful values for each word, others do not
wordsPerTopic - Variable in class cc.mallet.topics.LDAHyper
Deprecated.  
wordsPerTopic - Variable in class cc.mallet.topics.NPTopicModel
 
wordsPerTopic - Variable in class cc.mallet.topics.ParallelTopicModel
 
wordsPerTopic - Variable in class cc.mallet.topics.PolylingualTopicModel
 
wordsPerTopic - Variable in class cc.mallet.topics.SimpleLDA
 
WordTransformation - Class in cc.mallet.share.weili.ner
 
WordTransformation() - Constructor for class cc.mallet.share.weili.ner.WordTransformation
 
WordTransformation(boolean, boolean, boolean) - Constructor for class cc.mallet.share.weili.ner.WordTransformation
 
WorkerRunnable - Class in cc.mallet.topics
A parallel topic model runnable task.
WorkerRunnable(int, double[], double, double, Randoms, ArrayList<TopicAssignment>, int[][], int[], int, int) - Constructor for class cc.mallet.topics.WorkerRunnable
 
write(File) - Method in class cc.mallet.fst.CRF
 
write(File) - Method in class cc.mallet.fst.HMM
 
write(File) - Method in class cc.mallet.share.weili.ner.enron.EnronMessage2TokenSequence
 
write(File) - Method in class cc.mallet.topics.LDA
Deprecated.  
write(File) - Method in class cc.mallet.topics.LDAHyper
Deprecated.  
write(File) - Method in class cc.mallet.topics.ParallelTopicModel
 
write(File) - Method in class cc.mallet.topics.PolylingualTopicModel
 
write(File) - Method in class cc.mallet.topics.SimpleLDA
 
write(File) - Method in class cc.mallet.topics.TopicalNGrams
 
writeCommonWords(File, int) - Method in class cc.mallet.pipe.FeatureCountPipe
List the most common words, for addition to a stop file
writeExtraction(File, Extraction) - Static method in class cc.mallet.extract.DocumentViewer
Writes several HTML files describing a given extraction.
writeGzippedObject(File, Serializable) - Static method in class cc.mallet.util.FileUtils
Writes a serialized version of obj to a given file, compressing it using gzip.
writeInferredDistributions(InstanceList, File, int, int, int, double, int) - Method in class cc.mallet.topics.TopicInferencer
Infer topics for the provided instances and write distributions to the provided file.
writeInstanceList(SimpleTokenizer) - Static method in class cc.mallet.util.BulkLoader
 
writeModel(FactorGraph, Writer) - Static method in class cc.mallet.grmm.util.ModelWriter
 
writeObject(File, Serializable) - Static method in class cc.mallet.util.FileUtils
Serializes an object to a file, masking out annoying exceptions.
writeParameters(File) - Method in class cc.mallet.topics.DMRTopicModel
 
writePrunedWords(File, int) - Method in class cc.mallet.pipe.FeatureCountPipe
Writes a list of features that do not occur at or above the specified cutoff to the pruned file, one per line.
writeWeightsText(Writer) - Method in class cc.mallet.grmm.learning.ACRF
 

X

xis - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
 

Z

zero() - Method in class cc.mallet.fst.CRF.Factors
 
zeroExpectation() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
 
zeroExpectations() - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
 
zeroExpectations() - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
Zero expectation values.
zeroExpectations() - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
 
zeroExpectations() - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
 
zeroExpectations() - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
Zero expectation values.
zeroExpectations() - Method in class cc.mallet.classify.PRAuxClassifier
 
zeroExpectations() - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
Zero expectation values.
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
 
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
 
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
 
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
 
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
 
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
 
zeroExpectations() - Method in interface cc.mallet.fst.semi_supervised.pr.constraints.PRConstraint
Zero expectation values.
zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
 

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