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A
- absNorm() - Method in interface cc.mallet.types.ConstantMatrix
- absNorm() - Method in class cc.mallet.types.DenseMatrix
- absNorm() - Method in class cc.mallet.types.SparseMatrixn
- absNorm() - Method in class cc.mallet.types.SparseVector
- absNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
- absNormalize() - Method in class cc.mallet.types.DenseMatrix
- absNormalize() - Method in interface cc.mallet.types.Matrix
- absNormalize() - Method in class cc.mallet.types.SparseMatrixn
- absNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
- absoluteDifference(Dirichlet) - Method in class cc.mallet.types.Dirichlet
-
Compute the L1 residual between two dirichlets
- AbstractTopicReports - Class in cc.mallet.topics
- AbstractTopicReports(ParallelTopicModel) - Constructor for class cc.mallet.topics.AbstractTopicReports
- 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(Classifier, InstanceList, int, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
- AccuracyCoverage(Classifier, InstanceList, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
- AccuracyCoverage(Trial, int, String, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
-
Constructs object, sorts classifications, and creates accuracyValues array
- AccuracyCoverage(Trial, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
- AccuracyCoverage(Trial, String, String) - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage
- AccuracyCoverage.ClassificationComparator - Class in cc.mallet.classify.evaluate
- 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
- 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) - Constructor for class cc.mallet.classify.AdaBoostM2Trainer
- AdaBoostM2Trainer(ClassifierTrainer, int) - 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) - Constructor for class cc.mallet.classify.AdaBoostTrainer
- AdaBoostTrainer(ClassifierTrainer, int) - Constructor for class cc.mallet.classify.AdaBoostTrainer
- add(double) - Method in class cc.mallet.util.DoubleList
- add(double[], int) - Method in class cc.mallet.topics.WordEmbeddings
- add(double[], String) - Method in class cc.mallet.topics.WordEmbeddings
- add(int) - Method in class cc.mallet.types.AugmentableFeatureVector
- add(int) - Method in class cc.mallet.types.FeatureSelection
- add(int) - Method in class cc.mallet.types.FeatureSequence
- add(int, double) - Method in class cc.mallet.types.AugmentableFeatureVector
- add(int, double, double, double) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
- 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(int, Classification) - Method in class cc.mallet.classify.Trial
- add(int, Instance) - Method in class cc.mallet.types.InstanceList
- add(int, Instance) - Method in class cc.mallet.types.MultiInstanceList
- add(Classification) - Method in class cc.mallet.classify.Trial
- 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(FeatureConjunction) - Method in class cc.mallet.types.FeatureConjunction.List
- 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(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) - Method in class cc.mallet.types.MultiInstanceList
- add(Instance) - Method in class cc.mallet.types.PagedInstanceList
-
Appends the instance to this list.
- 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(Instance, double) - Method in class cc.mallet.types.MultiInstanceList
- add(ROCData) - Method in class cc.mallet.types.ROCData
-
Adds existing ROC data to this ROC data
- add(CommandOption) - Method in class cc.mallet.util.CommandOption.List
- add(CommandOption.List) - Method in class cc.mallet.util.CommandOption.List
- add(CommandOption[]) - Method in class cc.mallet.util.CommandOption.List
- add(Class) - Method in class cc.mallet.util.CommandOption.List
- add(Object) - Method in class cc.mallet.types.FeatureSelection
- add(Object) - Method in class cc.mallet.types.FeatureSequence
- add(Object) - Method in interface cc.mallet.util.Addable
- add(Object, double) - Method in class cc.mallet.types.AugmentableFeatureVector
- add(Object, Object, Object, Object) - Method in class cc.mallet.types.InstanceList
-
Deprecated.Use trainingset.add (new Instance(data,target,name,source)) instead.
- 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(String) - Method in class cc.mallet.classify.evaluate.Graph.Legend
- add(String) - Method in class cc.mallet.types.TokenSequence
- add(String, double, PropertyList) - Static method in class cc.mallet.util.PropertyList
- add(String, Object, PropertyList) - Static method in class cc.mallet.util.PropertyList
- add(String, String, PropertyList) - Static method in class cc.mallet.util.PropertyList
- Addable - Interface in cc.mallet.util
- addAll(int, Collection<? extends Classification>) - Method in class cc.mallet.classify.Trial
- addAll(int, Collection<? extends Instance>) - Method in class cc.mallet.types.InstanceList
- addAll(Object[]) - Method in class cc.mallet.types.TokenSequence
- addAll(Collection<? extends Classification>) - Method in class cc.mallet.classify.Trial
- addAll(Collection<? extends Instance>) - Method in class cc.mallet.types.InstanceList
- 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(AddClassifierTokenPredictions.TokenClassifiers, int[], boolean, InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions
- AddClassifierTokenPredictions(InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions
- AddClassifierTokenPredictions(InstanceList, InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions
- AddClassifierTokenPredictions.TokenClassifiers - Class in cc.mallet.pipe
-
This inner class represents the trained token classifiers.
- addConjunction(String, Alphabet, int[], boolean[]) - Method in class cc.mallet.pipe.AugmentableFeatureVectorAddConjunctions
- 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, 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, 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, double[], double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
- addConstraint(int, int, double, double) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
- addConstraint(int, int, double, double, double) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
- addConstraint(int, int, double, double, double) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
- addContent(Element) - Method in class cc.mallet.extract.Element
- addContent(List) - Method in class cc.mallet.extract.Element
- 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
- 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
- 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
- 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
- addInstance(InstanceList, String, String) - Static method in class cc.mallet.topics.RTopicModel
-
This is a helper method that simplifies class casting from rJava.
- addInstances(InstanceList) - Method in class cc.mallet.topics.DMRTopicModel
- addInstances(InstanceList) - Method in class cc.mallet.topics.LabeledLDA
- addInstances(InstanceList) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- addInstances(InstanceList) - Method in class cc.mallet.topics.ParallelTopicModel
- addInstances(InstanceList) - Method in class cc.mallet.topics.SimpleLDA
- addInstances(InstanceList) - Method in class cc.mallet.topics.WeightedTopicModel
- addInstances(InstanceList[]) - Method in class cc.mallet.topics.PolylingualTopicModel
- addInstances(InstanceList, int) - Method in class cc.mallet.topics.NPTopicModel
- addInstances(InstanceList, String[], String[]) - Static method in class cc.mallet.topics.RTopicModel
- addInstances(InstanceList, List<LabelSequence>) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- addItem(String, int) - Method in class cc.mallet.classify.evaluate.Graph
- addItem(String, int, Color) - 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
- 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. - addPatterns(File) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopPatterns
- addPatterns(String[]) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopPatterns
- addProbabilities(double[]) - Method in class cc.mallet.types.Multinomial.Logged
- addProbabilitiesTo(double[]) - Method in class cc.mallet.types.Multinomial
- addPrunedWordsToStoplist(SimpleTokenizer, double) - Method in class cc.mallet.pipe.FeatureDocFreqPipe
-
Add all pruned words to the internal stoplist of a SimpleTokenizer.
- addPrunedWordsToStoplist(SimpleTokenizer, int) - Method in class cc.mallet.pipe.FeatureCountPipe
-
Add all pruned words to the internal stoplist of a SimpleTokenizer.
- addReplacement(Replacement) - Method in class cc.mallet.pipe.NGramPreprocessor.ReplacementSet
- addSelfTransitioningStateForAllLabels(String) - Method in class cc.mallet.fst.CRF
- addSelfTransitioningStateForAllLabels(String) - Method in class cc.mallet.fst.HMM
- addStartState() - 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.
- addStartState(String) - Method in class cc.mallet.fst.CRF
- 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.CRF
-
Default gives separate parameters to each transition.
- addState(String, double, double, String[], String[]) - Method in class cc.mallet.fst.HMM
- 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, String) - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
-
Adds a state to the map.
- 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, 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.
- 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(File) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
-
Add whitespace-separated tokens in file "wordlist" to the stoplist.
- addStopWords(String[]) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
- addTargetLabel(Label) - Method in class cc.mallet.classify.MostFrequentClassifier
- addTargetLabel(Label) - Method in class cc.mallet.classify.RandomClassifier
- addThruPipe(Instance) - Method in class cc.mallet.types.InstanceList
-
Adds the input instance to this list, after passing it through the InstanceList's pipe.
- 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.
- addTo(double[]) - Method in class cc.mallet.types.AugmentableFeatureVector
- addTo(double[]) - Method in class cc.mallet.types.DenseVector
- addTo(double[]) - Method in class cc.mallet.types.Label
- addTo(double[]) - Method in interface cc.mallet.types.Labeling
- addTo(double[]) - Method in class cc.mallet.types.SparseVector
- addTo(double[], double) - Method in class cc.mallet.types.AugmentableFeatureVector
- addTo(double[], double) - Method in class cc.mallet.types.DenseVector
- addTo(double[], double) - Method in class cc.mallet.types.Label
- addTo(double[], double) - Method in interface cc.mallet.types.Labeling
- addTo(double[], double) - Method in class cc.mallet.types.SparseVector
- addTo(AugmentableFeatureVector) - Method in class cc.mallet.types.FeatureConjunction
- addTo(AugmentableFeatureVector, double) - Method in class cc.mallet.types.FeatureConjunction
- addTo(AugmentableFeatureVector, double) - Method in class cc.mallet.types.FeatureConjunction.List
- addTo(AugmentableFeatureVector, double, FeatureSelection) - Method in class cc.mallet.types.FeatureConjunction
- addTo(AugmentableFeatureVector, double, FeatureSelection) - Method in class cc.mallet.types.FeatureConjunction.List
- addToTopicScore(int, double) - Method in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
- addTrial(Trial, int, String) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
- addTrial(Trial, String) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
- addWeight(int, String) - Method in class cc.mallet.fst.CRF.State
- AgglomerativeNeighbor - Class in cc.mallet.cluster.neighbor_evaluator
-
A
Neighborcreated 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
- 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.
- AllPairsIterator - Class in cc.mallet.cluster.iterator
-
Iterate over all pairs of Instances.
- AllPairsIterator(Clustering) - Constructor for class cc.mallet.cluster.iterator.AllPairsIterator
- almostEquals(double[], double[], double) - Static method in class cc.mallet.util.Maths
- almostEquals(double, double) - Static method in class cc.mallet.util.Maths
- almostEquals(double, double, double) - Static method in class cc.mallet.util.Maths
- almostEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
- 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.LabeledLDA
- 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.WeightedTopicModel
- alpha - Variable in class cc.mallet.topics.WorkerCallable
- alpha - Variable in class cc.mallet.topics.WorkerRunnable
- alpha(int) - Method in class cc.mallet.types.Dirichlet
- alphabet - Variable in class cc.mallet.topics.LabeledLDA
- 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 - Variable in class cc.mallet.topics.TopicInferencer
- alphabet - Variable in class cc.mallet.topics.WeightedTopicModel
- Alphabet - Class in cc.mallet.types
-
A mapping between integers and objects where the mapping in each direction is efficient.
- Alphabet() - Constructor for class cc.mallet.types.Alphabet
- Alphabet(int) - Constructor for class cc.mallet.types.Alphabet
- Alphabet(int, Class) - Constructor for class cc.mallet.types.Alphabet
- Alphabet(Class) - 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
ndimensions - 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.MostFrequentClassAssignmentTrainer
- alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.classify.NaiveBayesTrainer
- alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.classify.RandomAssignmentTrainer
- alphabetsMatch(AlphabetCarrying) - Method in class cc.mallet.pipe.Pipe
- 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
- 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.
- 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.WeightedTopicModel
- alphaSum - Variable in class cc.mallet.topics.WorkerCallable
- alphaSum - Variable in class cc.mallet.topics.WorkerRunnable
- append(boolean[], boolean) - Static method in class cc.mallet.util.ArrayUtils
-
Returns a new array with a single element appended at the end.
- append(double[], double) - Static method in class cc.mallet.types.MatrixOps
- 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(int[], int[]) - Static method in class cc.mallet.util.ArrayUtils
-
Returns a new array that is the concatenation of a1 and a2.
- append(PropertyList) - Method in class cc.mallet.util.PropertyList
- append(Object[], Object) - Static method in class cc.mallet.util.ArrayUtils
-
Returns a new array with a single element appended at the end.
- 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.
- apply(String[], int, StringBuilder) - Method in class cc.mallet.util.Replacement
- applyReplacements(String) - Method in class cc.mallet.pipe.NGramPreprocessor.ReplacementSet
- argmax(double[]) - Static method in class cc.mallet.util.ArrayUtils
- Array2ArrayIterator() - Constructor for class cc.mallet.pipe.tests.TestInstancePipe.Array2ArrayIterator
- Array2ArrayIterator() - Constructor for class cc.mallet.pipe.tests.TestSGML2TokenSequence.Array2ArrayIterator
- 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() - Constructor for class cc.mallet.pipe.Array2FeatureVector
- Array2FeatureVector(int) - 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(double[]) - Method in class cc.mallet.types.DenseVector
-
Copy values from an array into this vector.
- 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.DenseVector
-
Copy values from an array starting at a particular index 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.
- arrayCopyFrom(int, Matrix) - Method in class cc.mallet.types.DenseVector
- 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.SparseVector
-
Copy the contents of this vector into an array starting at a particular location.
- arrayCopyTo(int, double[]) - Method in class cc.mallet.types.DenseVector
- arrayCopyTo(int, Matrix) - Method in class cc.mallet.types.DenseVector
- ArrayDataAndTargetIterator - Class in cc.mallet.pipe.iterator
- ArrayDataAndTargetIterator(Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
- ArrayDataAndTargetIterator(List, List) - Constructor for class cc.mallet.pipe.iterator.ArrayDataAndTargetIterator
- ArrayIterator - Class in cc.mallet.pipe.iterator
- ArrayIterator(Object[]) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
- ArrayIterator(Object[], Object) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
- ArrayIterator(List) - Constructor for class cc.mallet.pipe.iterator.ArrayIterator
- ArrayIterator(List, 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(Sequence<E>, boolean) - Constructor for class cc.mallet.types.ArraySequence
- ArraySequence(E[]) - Constructor for class cc.mallet.types.ArraySequence
- ArraySequence(E[], boolean) - Constructor for class cc.mallet.types.ArraySequence
- ArraySequence(ArrayList<E>) - 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).
- asJavaRandom() - Method in class cc.mallet.util.Randoms
-
Deprecated.
- assertNotNaN() - Method in class cc.mallet.fst.CRF.Factors
- assertNotNaNOrInfinite() - Method in class cc.mallet.fst.CRF.Factors
- 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.
- AStarState - Interface in cc.mallet.util.search
-
Created by IntelliJ IDEA.
- aTimesB(double[][], double[][]) - Static method in class cc.mallet.types.MatrixOps
- aTransposeTimesB(double[][], double[][]) - Static method in class cc.mallet.types.MatrixOps
- AugmentableFeatureVector - Class in cc.mallet.types
- AugmentableFeatureVector(Alphabet) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(Alphabet, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(Alphabet, double[], int) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(Alphabet, int[], double[], int) - 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, boolean, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- 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, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(Alphabet, PropertyList, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(Alphabet, PropertyList, boolean, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(FeatureSequence, boolean) - Constructor for class cc.mallet.types.AugmentableFeatureVector
- AugmentableFeatureVector(FeatureVector) - 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() - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Average
- Average() - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Average
- averageAbsWeight() - Method in class cc.mallet.topics.WordEmbeddings
- averageTokenAccuracy(InstanceList) - Method in class cc.mallet.fst.Transducer
-
Runs inference across all the instances and returns the average token accuracy.
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) - Constructor for class cc.mallet.classify.BaggingTrainer
- BaggingTrainer(ClassifierTrainer.Factory, int) - 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
- BARS - Static variable in class cc.mallet.topics.NonNegativeMatrixFactorization
- 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
- 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.LabeledLDA
- 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.WeightedTopicModel
- beta - Variable in class cc.mallet.topics.WorkerCallable
- beta - Variable in class cc.mallet.topics.WorkerRunnable
- beta(double, double) - Static method in class cc.mallet.util.Maths
- 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.LabeledLDA
- 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.WeightedTopicModel
- betaSum - Variable in class cc.mallet.topics.WorkerCallable
- 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
- BINARY_COUNT - Static variable in class cc.mallet.pipe.tsf.CountMatches
- BiNormalSeparation - Class in cc.mallet.types
-
Bi-Normal Separation is a feature weighting algorithm introduced in: An Extensive Empirical Study of Feature Selection Metrics for Text Classification, George Forman, Journal of Machine Learning Research, 3:1289--1305, 2003.
- BiNormalSeparation(InstanceList) - Constructor for class cc.mallet.types.BiNormalSeparation
-
Create a new feature ranking for the given instance list.
- BiNormalSeparation.Factory - Class in cc.mallet.types
-
Factory class.
- 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
- Boolean(Class, String, String, boolean, boolean, String, String) - Constructor for class cc.mallet.util.CommandOption.Boolean
- Boostable - Interface in cc.mallet.classify
-
This interface is a tag indicating that the classifier attends to the InstanceList.getInstanceWeight() weights when training.
- 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.
- BshInterpreter - Class in cc.mallet.util
- BshInterpreter() - Constructor for class cc.mallet.util.BshInterpreter
- BshInterpreter(String) - Constructor for class cc.mallet.util.BshInterpreter
- buildInitialTypeTopicCounts() - Method in class cc.mallet.topics.ParallelTopicModel
- buildLocalTypeTopicCounts() - Method in class cc.mallet.topics.WorkerCallable
-
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.
- 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
- ByGradientValue(Optimizable.ByGradientValue...) - Constructor for class cc.mallet.optimize.OptimizableCollection.ByGradientValue
- ByIncrements() - Constructor for class cc.mallet.fst.TransducerTrainer.ByIncrements
- ByInstanceIncrements() - Constructor for class cc.mallet.fst.TransducerTrainer.ByInstanceIncrements
- byteArrayToIntArray(byte[]) - Static method in class cc.mallet.pipe.iterator.DBInstanceIterator
-
Convert an array of bytes to an array of integers by copying the bits directly.
- byteArrayToIntArray(byte[]) - Static method in class cc.mallet.util.DBInstanceStore
-
Convert an array of bytes to an array of integers by copying the bits directly.
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
- 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(boolean) - Constructor for class cc.mallet.classify.C45Trainer
- C45Trainer(int) - Constructor for class cc.mallet.classify.C45Trainer
-
Construct a depth-limited tree with the given depth limit
- 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
- cacheAlphas(Instance, int) - Method in class cc.mallet.topics.DMRTopicModel
-
Set alpha based on features in an instance
- cachedCoefficients - Variable in class cc.mallet.topics.LDAHyper
-
Deprecated.
- cachedCoefficients - Variable in class cc.mallet.topics.MarginalProbEstimator
- cachedCoefficients - Variable in class cc.mallet.topics.TopicInferencer
- cachedCoefficients - Variable in class cc.mallet.topics.WorkerCallable
- 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
- 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
- calculateIDFWeights() - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- calculateNCRP(ObjectDoubleHashMap<HierarchicalLDA.NCRPNode>, HierarchicalLDA.NCRPNode, double) - Method in class cc.mallet.topics.HierarchicalLDA
- calculateWordLikelihood(ObjectDoubleHashMap<HierarchicalLDA.NCRPNode>, HierarchicalLDA.NCRPNode, double, IntIntHashMap[], double[], int, int) - Method in class cc.mallet.topics.HierarchicalLDA
- call() - Method in class cc.mallet.topics.CopyCallable
- call() - Method in class cc.mallet.topics.DMRCallable
- call() - Method in class cc.mallet.topics.MergeCallable
- call() - Method in class cc.mallet.topics.WordEmbeddingCallable
- call() - Method in class cc.mallet.topics.WorkerCallable
- 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
- 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
Instanceobjects within anInstanceList. - 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.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.regression - package cc.mallet.regression
- cc.mallet.regression.tui - package cc.mallet.regression.tui
- 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.transform - package cc.mallet.transform
- 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.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
etopriority. - 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() - Constructor for class cc.mallet.pipe.CharSequence2TokenSequence
- 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
- 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(CharSequence, String) - Constructor for class cc.mallet.util.CharSequenceLexer
- CharSequenceLexer(CharSequence, Pattern) - Constructor for class cc.mallet.util.CharSequenceLexer
- CharSequenceLexer(String) - Constructor for class cc.mallet.util.CharSequenceLexer
- CharSequenceLexer(Pattern) - Constructor for class cc.mallet.util.CharSequenceLexer
- CharSequenceLowercase - Class in cc.mallet.pipe
-
Replace the data string or string buffer with a lowercased version.
- CharSequenceLowercase() - Constructor for class cc.mallet.pipe.CharSequenceLowercase
- CharSequenceNoDiacritics - Class in cc.mallet.pipe
-
A string normalizer which performs the following steps: Unicode canonical decomposition (
Form#NFD) Removal of diacritical marks Unicode canonical composition (Form#NFC) - CharSequenceNoDiacritics() - Constructor for class cc.mallet.pipe.CharSequenceNoDiacritics
- 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
- CharSequenceReplaceHtmlEntities - Class in cc.mallet.pipe
-
Be careful here: this pipe must be applied before
CharSequenceLowercasebecause it is case sensitive. - CharSequenceReplaceHtmlEntities() - Constructor for class cc.mallet.pipe.CharSequenceReplaceHtmlEntities
- CharSubsequence - Class in cc.mallet.pipe
-
Given a string, return only the portion of the string inside a regex parenthesized group.
- CharSubsequence(Pattern) - Constructor for class cc.mallet.pipe.CharSubsequence
- CharSubsequence(Pattern, int) - 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.
- children - Variable in class cc.mallet.extract.Element
- 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
- ClassificationComparator() - Constructor for class cc.mallet.classify.evaluate.AccuracyCoverage.ClassificationComparator
- classifier - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
- 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
- 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.
- 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.
- classify(Instance) - Method in class cc.mallet.classify.AdaBoost
- classify(Instance) - Method in class cc.mallet.classify.AdaBoostM2
- 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(Instance) - Method in class cc.mallet.classify.Classifier
- 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.MostFrequentClassifier
-
Classify an instance using the most frequent class label.
- 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.RandomClassifier
-
Classify an instance using random selection based on the trained data.
- 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[]) - Method in class cc.mallet.classify.Classifier
- classify(InstanceList) - Method in class cc.mallet.classify.Classifier
- classify(Instance, boolean) - Method in class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
- 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, int) - Method in class cc.mallet.classify.AdaBoostM2
-
Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
- classify(Object) - Method in class cc.mallet.classify.Classifier
-
Pipe the object through this classifier's pipe, then classify the resulting instance.
- ClassifyingNeighborEvaluator - Class in cc.mallet.cluster.neighbor_evaluator
-
A
NeighborEvaluatorthat is backed by aClassifier. - ClassifyingNeighborEvaluator(Classifier, String) - Constructor for class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
- 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
- cleanup() - Method in class cc.mallet.pipe.iterator.DBInstanceIterator
- cleanup() - Method in class cc.mallet.util.DBInstanceStore
- 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.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.Matrixn
- cloneMatrix() - Method in class cc.mallet.types.SparseMatrixn
- cloneMatrix() - Method in class cc.mallet.types.SparseVector
-
CLONING
- 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
improveClusteringto modify the current predictedClustering. - cluster(InstanceList) - Method in class cc.mallet.cluster.KMeans
-
Cluster instances
- cluster(InstanceList, int, Clustering) - Method in class cc.mallet.cluster.HillClimbingClusterer
-
While not converged, call
improveClusteringto modify the current predictedClustering. - 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
Clustererinstance. - clustering - Variable in class cc.mallet.cluster.iterator.NeighborIterator
- Clustering - Class in cc.mallet.cluster
- Clustering(InstanceList, int, int[]) - Constructor for class cc.mallet.cluster.Clustering
-
Clustering constructor.
- 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
- ClusteringPipe(int[], int[], int[]) - Constructor for class cc.mallet.cluster.tui.Clusterings2Clusterer.ClusteringPipe
- 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
- 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) - Method in class cc.mallet.cluster.KBestClusterer
- clusterKBest(InstanceList, int, Clustering, int) - Method in class cc.mallet.cluster.HillClimbingClusterer
-
Return the K most recent solutions.
- 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
- collectAlphaStatistics() - Method in class cc.mallet.topics.WorkerCallable
- collectAlphaStatistics() - Method in class cc.mallet.topics.WorkerRunnable
- collectDocumentStatistics() - Method in class cc.mallet.topics.TopicModelDiagnostics
- 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
- 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) - Constructor for class cc.mallet.util.CommandOption
-
Deprecated.
- CommandOption(Class, String, String, Class, boolean, String, String) - Constructor for class cc.mallet.util.CommandOption
- CommandOption.Boolean - Class in cc.mallet.util
- CommandOption.Double - Class in cc.mallet.util
- CommandOption.DoubleArray - Class in cc.mallet.util
- CommandOption.File - Class in cc.mallet.util
- CommandOption.Integer - Class in cc.mallet.util
- CommandOption.IntegerArray - Class in cc.mallet.util
- CommandOption.List - Class in cc.mallet.util
- 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.ObjectFromBean - Class in cc.mallet.util
- CommandOption.Set - Class in cc.mallet.util
- CommandOption.SpacedStrings - Class in cc.mallet.util
- CommandOption.String - Class in cc.mallet.util
- commonPrefix(String[]) - Static method in class cc.mallet.util.Strings
- commonPrefixIndex(String[]) - Static method in class cc.mallet.util.Strings
- compare(double) - Method in class cc.mallet.util.Univariate
- compare(double, int, int, int) - Static method in class cc.mallet.types.Dirichlet
- compare(Object, Object) - Method in class cc.mallet.classify.evaluate.AccuracyCoverage.ClassificationComparator
- compareTo(IDSorter) - Method in class cc.mallet.types.IDSorter
- 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.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.
- computeCostAndPrune() - Method in class cc.mallet.classify.C45.Node
- computeExpectations() - Method in class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
-
Resets, computes and fills expectations from all instances, also updating the entropy value.
- 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
- 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
- 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(InstanceWithConfidence[], boolean) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
- ConfidenceEvaluator(PipedInstanceWithConfidence[], boolean) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
- ConfidenceEvaluator(Segment[], boolean) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
- ConfidenceEvaluator(Vector) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator
- ConfidenceEvaluator(Vector, int) - 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
- 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) - Constructor for class cc.mallet.classify.ConfidencePredictingClassifierTrainer
- ConfidencePredictingClassifierTrainer(ClassifierTrainer, InstanceList, Pipe) - 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
- 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) - Constructor for class cc.mallet.optimize.ConjugateGradient
- ConjugateGradient(Optimizable.ByGradientValue, double) - 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 - Class in cc.mallet.share.mccallum.ner
- ConllNer2003Sentence2TokenSequence() - Constructor for class cc.mallet.share.casutton.ner.ConllNer2003Sentence2TokenSequence
- ConllNer2003Sentence2TokenSequence() - Constructor for class cc.mallet.share.mccallum.ner.ConllNer2003Sentence2TokenSequence
- ConllNer2003Sentence2TokenSequence(boolean) - Constructor for class cc.mallet.share.mccallum.ner.ConllNer2003Sentence2TokenSequence
- ConllNer2003Sentence2TokenSequence(boolean, boolean) - Constructor for class cc.mallet.share.casutton.ner.ConllNer2003Sentence2TokenSequence
- ConstantMatrix - Interface in cc.mallet.types
- ConstrainedForwardBackwardConfidenceEstimator - Class in cc.mallet.fst.confidence
-
Estimates the confidence of a
Segmentextracted by aTransducerby 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 aTransducer. - 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.
- contains(int) - Method in class cc.mallet.types.FeatureSelection
- 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?
- contains(Object) - Method in class cc.mallet.types.Alphabet
- contains(Object) - 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
- contents - Variable in class cc.mallet.extract.Text
- contentsAsCharSequence(Reader) - Static method in class cc.mallet.util.IoUtils
- contentsAsString(File) - Static method in class cc.mallet.util.IoUtils
- converged - Variable in class cc.mallet.cluster.GreedyAgglomerative
-
True if should stop clustering.
- converged - Variable in class cc.mallet.fst.CRFTrainerByStochasticGradient
- 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
- 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
- CoordinateDescent - Class in cc.mallet.regression
- CoordinateDescent(InstanceList, double) - Constructor for class cc.mallet.regression.CoordinateDescent
- 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
- copy(int) - Method in class cc.mallet.topics.WordEmbeddings
- copy(String) - Method in class cc.mallet.topics.WordEmbeddings
- copyAndMergeClusters(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
- copyAndMergeInstances(Clustering, int[]) - Static method in class cc.mallet.cluster.util.ClusterUtils
- copyAndMergeInstances(Clustering, int, int) - Static method in class cc.mallet.cluster.util.ClusterUtils
- CopyCallable - Class in cc.mallet.topics
-
This task copies topic-word counts from a global array to a local thread-specific array.
- CopyCallable(WorkerCallable, int[][], int[]) - Constructor for class cc.mallet.topics.CopyCallable
- copyWithNewLabels(Clustering) - Static method in class cc.mallet.cluster.util.ClusterUtils
- 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[]) - Method in class cc.mallet.fst.confidence.IsolatedSegmentTransducerCorrector
- correctLeastConfidentSegments(InstanceList, Object[], Object[]) - Method in interface cc.mallet.fst.confidence.TransducerCorrector
- correctLeastConfidentSegments(InstanceList, Object[], Object[], boolean) - Method in class cc.mallet.fst.confidence.ConstrainedViterbiTransducerCorrector
-
Returns an ArrayList of corrected Sequences.
- 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() - Method in class cc.mallet.util.FeatureCooccurrenceCounter
- count() - Method in class cc.mallet.util.FeatureCountTool
- count(int[], int) - Static method in class cc.mallet.util.ArrayUtils
-
Returns the number of times a value occurs in a given array.
- count(String, char) - Static method in class cc.mallet.util.Strings
- CountMatches - Class in cc.mallet.pipe.tsf
- CountMatches(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.CountMatches
- CountMatches(String, Pattern, int) - Constructor for class cc.mallet.pipe.tsf.CountMatches
- CountMatchesAlignedWithOffsets - Class in cc.mallet.pipe.tsf
- CountMatchesAlignedWithOffsets(String, Pattern, int[]) - Constructor for class cc.mallet.pipe.tsf.CountMatchesAlignedWithOffsets
- CountMatchesAlignedWithOffsets(String, Pattern, int[], boolean) - Constructor for class cc.mallet.pipe.tsf.CountMatchesAlignedWithOffsets
- CountMatchesMatching - Class in cc.mallet.pipe.tsf
- CountMatchesMatching(String, Pattern, Pattern) - Constructor for class cc.mallet.pipe.tsf.CountMatchesMatching
- CountMatchesMatching(String, Pattern, Pattern, boolean) - Constructor for class cc.mallet.pipe.tsf.CountMatchesMatching
- CountsToFeatureSequencePipe - Class in cc.mallet.pipe
- CountsToFeatureSequencePipe() - Constructor for class cc.mallet.pipe.CountsToFeatureSequencePipe
- countWords(InstanceList, double) - Method in class cc.mallet.topics.WordEmbeddings
- cov(Univariate, Univariate) - Static method in class cc.mallet.util.StatFunctions
- CR - Static variable in class cc.mallet.pipe.StringIterator
- 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
- 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
- createPipe() - Method in class cc.mallet.pipe.tests.TestInstancePipe
- createRandomClustering(InstanceList, Randoms) - Static method in class cc.mallet.cluster.util.ClusterUtils
- 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.
- 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 - Class in cc.mallet.fst
-
Represents a CRF model.
- 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(Pipe, Pipe) - Constructor for class cc.mallet.fst.CRF
- CRF(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.CRF
- CRF.Factors - Class in cc.mallet.fst
-
A simple, transparent container to hold the parameters or sufficient statistics for the CRF.
- 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.WeightedIncrementor - Class in cc.mallet.fst
- CRF.State - Class in cc.mallet.fst
- CRF.TransitionIterator - Class in cc.mallet.fst
- 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(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
- CRFExtractor(File) - 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
- 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) - Constructor for class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
-
Initializes the structures (sets the scaling factor to 1.0).
- CRFOptimizableByEntropyRegularization(CRF, InstanceList, double) - Constructor for class cc.mallet.fst.semi_supervised.CRFOptimizableByEntropyRegularization
-
Initializes the structures.
- 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
- 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, double) - Constructor for class cc.mallet.fst.CRFTrainerByStochasticGradient
- CRFTrainerByStochasticGradient(CRF, InstanceList) - 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.
- CRFWriter - Class in cc.mallet.fst
-
Saves a trained model to specified filename.
- CRFWriter(String) - Constructor for class cc.mallet.fst.CRFWriter
- crossValidationIterator(int) - Method in class cc.mallet.types.InstanceList
- crossValidationIterator(int) - Method in class cc.mallet.types.MultiInstanceList
- crossValidationIterator(int, int) - Method in class cc.mallet.types.InstanceList
- crossValidationIterator(int, int) - Method in class cc.mallet.types.MultiInstanceList
- CrossValidationIterator - Class in cc.mallet.types
-
An iterator which splits an
InstanceListinto n-folds and iterates over the folds for use in n-fold cross-validation. - CrossValidationIterator(int) - Constructor for class cc.mallet.types.InstanceList.CrossValidationIterator
- CrossValidationIterator(int, int) - Constructor for class cc.mallet.types.InstanceList.CrossValidationIterator
- CrossValidationIterator(InstanceList, int) - Constructor for class cc.mallet.types.CrossValidationIterator
-
Constructs a new n-fold cross-validation iterator
- CrossValidationIterator(InstanceList, int, Random) - Constructor for class cc.mallet.types.CrossValidationIterator
-
Constructs a new n-fold cross-validation iterator
- 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(CharSequenceLexer) - Constructor for class cc.mallet.pipe.Csv2Array
- Csv2Array(String) - 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() - Constructor for class cc.mallet.pipe.Csv2FeatureVector
- Csv2FeatureVector(int) - 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, String, int, int, int) - Constructor for class cc.mallet.pipe.iterator.CsvIterator
- CsvIterator(Reader, Pattern, 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
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.LabeledLDA
- 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.topics.WeightedTopicModel
- data - Variable in class cc.mallet.types.Instance
- dataLogLikelihood(InstanceList) - Method in class cc.mallet.classify.NaiveBayes
- DBBulkLoader - Class in cc.mallet.util
-
This class reads through two files (data and metadata), tokenizing metadata for use as a label vector.
- DBBulkLoader() - Constructor for class cc.mallet.util.DBBulkLoader
- DBInstanceIterator - Class in cc.mallet.pipe.iterator
- DBInstanceIterator(String) - Constructor for class cc.mallet.pipe.iterator.DBInstanceIterator
- DBInstanceStore - Class in cc.mallet.util
- DBInstanceStore(String) - Constructor for class cc.mallet.util.DBInstanceStore
- 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
- DecisionTreeTrainer - Class in cc.mallet.classify
-
A decision tree learner, roughly ID3, but only to a fixed given depth in all branches.
- DecisionTreeTrainer() - Constructor for class cc.mallet.classify.DecisionTreeTrainer
- DecisionTreeTrainer(int) - Constructor for class cc.mallet.classify.DecisionTreeTrainer
- DecisionTreeTrainer.Factory - Class in cc.mallet.classify
- deepClone() - Method in class cc.mallet.pipe.SimpleTokenizer
- deepClone(double[][]) - Static method in class cc.mallet.types.MatrixOps
- DEFAULT_BETA - Static variable in class cc.mallet.topics.LabeledLDA
- 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.WorkerCallable
- 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_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
- defaultFeatureIndex - Variable in class cc.mallet.classify.MaxEnt
- defaultFeatureIndex - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
- defaultFeatureIndex - Variable in class cc.mallet.topics.DMRInferencer
- defaultLineRegex - Static variable in class cc.mallet.classify.tui.Csv2Vectors
- DefaultTokenizationFilter - Class in cc.mallet.extract
-
Created: Nov 12, 2004
- DefaultTokenizationFilter() - Constructor for class cc.mallet.extract.DefaultTokenizationFilter
- defaultTokenRegex - Static variable in class cc.mallet.classify.tui.Csv2Vectors
- defaultTokenRegex - Static variable in class cc.mallet.classify.tui.Text2Vectors
- 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
- DenseMatrix - Class in cc.mallet.types
- DenseMatrix() - Constructor for class cc.mallet.types.DenseMatrix
- DenseVector - Class in cc.mallet.types
- DenseVector(double[]) - Constructor for class cc.mallet.types.DenseVector
- DenseVector(double[], boolean) - 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
- 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
- digits - Static variable in class cc.mallet.types.tests.TestMatrixOps
- 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() - Constructor for class cc.mallet.pipe.Directory2FileIterator
- Directory2FileIterator(FileFilter, Pattern) - Constructor for class cc.mallet.pipe.Directory2FileIterator
- Directory2FileIterator(String) - Constructor for class cc.mallet.pipe.Directory2FileIterator
- Directory2FileIterator(Pattern, Pattern, Pattern) - 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[]) - 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(double, double[]) - Constructor for class cc.mallet.types.Dirichlet
-
A dirichlet parameterized by a distribution and a magnitude
- Dirichlet(int) - Constructor for class cc.mallet.types.Dirichlet
-
A symmetric Dirichlet with alpha_i = 1.0 and
sizedimensions - Dirichlet(int, double) - Constructor for class cc.mallet.types.Dirichlet
-
A symmetric dirichlet: E(X_i) = E(X_j) for all i, j
- 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 =
alphaand the number of dimensions of the given alphabet. - Dirichlet.Estimator - Class in cc.mallet.types
- Dirichlet.MethodOfMomentsEstimator - Class in cc.mallet.types
- dirichletMultinomialLikelihoodRatio(int[], int[]) - Method in class cc.mallet.types.Dirichlet
-
This version uses a non-symmetric Dirichlet prior
- 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(IntIntHashMap, IntIntHashMap, 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?
- 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
- 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, int, SparseVector, int) - Method in class cc.mallet.types.NormalizedDotProductMetric
- distance(SparseVector, SparseVector) - Method in class cc.mallet.types.EuclideanDistance
- distance(SparseVector, SparseVector) - Method in class cc.mallet.types.InfiniteDistance
- distance(SparseVector, SparseVector) - Method in class cc.mallet.types.ManhattenDistance
- 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
- distributionToString(double, double[]) - Static method in class cc.mallet.types.Dirichlet
-
Create a printable list of alpha_i parameters
- 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
- DMRCallable - Class in cc.mallet.topics
-
A parallel Dirichlet-multinomial regression topic model runnable task.
- DMRCallable(int, DMRTopicModel, double, Randoms, ArrayList<TopicAssignment>, int[][], int[], int, int) - Constructor for class cc.mallet.topics.DMRCallable
- DMRInferencer - Class in cc.mallet.topics
- DMRInferencer(int[][], int[], MaxEnt, Alphabet, double, double) - Constructor for class cc.mallet.topics.DMRInferencer
- 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
- dmrParameters - Variable in class cc.mallet.topics.DMRInferencer
- 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.WorkerCallable
- 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, LabeledSpans, LabeledSpans, 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, Sequence, 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
- 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) - Method in class cc.mallet.fst.tests.TestMEMM
- doTestSpacePrediction(boolean, boolean, boolean) - Method in class cc.mallet.fst.tests.TestCRF
- doTestSpacePrediction(boolean, boolean, boolean) - Method in class cc.mallet.fst.tests.TestMEMM
- dotProduct(double[]) - Method in class cc.mallet.types.SparseVector
-
VECTOR OPERATIONS
- dotProduct(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
- dotProduct(int, Vector) - Method in class cc.mallet.types.FeatureVectorSequence
- 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(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
- dotProduct(ConstantMatrix) - Method in class cc.mallet.types.SparseVector
- dotProduct(DenseVector) - Method in class cc.mallet.types.AugmentableFeatureVector
- dotProduct(DenseVector) - Method in class cc.mallet.types.HashedSparseVector
- dotProduct(DenseVector) - Method in class cc.mallet.types.IndexedSparseVector
- dotProduct(DenseVector) - Method in class cc.mallet.types.SparseVector
- dotProduct(SparseVector) - Method in class cc.mallet.types.AugmentableFeatureVector
- dotProduct(SparseVector) - Method in class cc.mallet.types.HashedSparseVector
- dotProduct(SparseVector) - Method in class cc.mallet.types.IndexedSparseVector
- dotProduct(SparseVector) - Method in class cc.mallet.types.SparseVector
- Double(Class, String, String, boolean, double, String, String) - Constructor for class cc.mallet.util.CommandOption.Double
- DoubleArray(Class, String, String, boolean, double[], String, String) - Constructor for class cc.mallet.util.CommandOption.DoubleArray
- 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(double[]) - Constructor for class cc.mallet.util.DoubleList
- DoubleList(double[], int) - 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
- DownsampleLabelWords - Class in cc.mallet.transform
-
This class implements the method from "Authorless Topic Models" by Thompson and Mimno, COLING 2018.
- DownsampleLabelWords() - Constructor for class cc.mallet.transform.DownsampleLabelWords
- 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.types.Alphabet
- dump(PrintStream) - Method in class cc.mallet.types.Alphabet
- dump(PrintWriter) - Method in class cc.mallet.types.Alphabet
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().
- Element - Class in cc.mallet.extract
- Element(String) - Constructor for class cc.mallet.extract.Element
- 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) - 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.DenseMatrix
- elementwiseDivideEquals(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
- elementwiseDivideEquals(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
- elementwiseTimesEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
- elementwiseTimesEquals(ConstantMatrix) - 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.DenseMatrix
- elementwiseTimesEquals(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
- 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 - Static variable in class cc.mallet.pipe.iterator.DBInstanceIterator
- EMPTY - Static variable in class cc.mallet.util.DBInstanceStore
- 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
- EntityConfidence(double, boolean, Sequence, int, int) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
- EntityConfidence(double, boolean, String) - Constructor for class cc.mallet.fst.confidence.ConfidenceEvaluator.EntityConfidence
- entropy - Variable in class cc.mallet.fst.semi_supervised.EntropyLattice
- 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
- EPSILON - Static variable in class cc.mallet.util.Maths
-
Numbers that are closer than this are considered equal by almostEquals.
- equals(boolean[][], boolean[][]) - Static method in class cc.mallet.util.ArrayUtils
- 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.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
- 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() - Method in class cc.mallet.topics.DMRTopicModel
- estimate() - Method in class cc.mallet.topics.LabeledLDA
- estimate() - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- estimate() - Method in class cc.mallet.topics.ParallelTopicModel
- estimate() - Method in class cc.mallet.topics.PolylingualTopicModel
- 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
- estimate(int) - Method in class cc.mallet.topics.HierarchicalLDA
- estimate(int) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- estimate(int) - Method in class cc.mallet.topics.PolylingualTopicModel
- estimate(int, int, int, int, int, String, Randoms) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- estimate(InstanceList, int, int, int, int, String, Randoms) - Method in class cc.mallet.topics.PAM4L
- estimate(InstanceList, int, int, int, String, Randoms) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- estimate(InstanceList, int, int, int, String, Randoms) - Method in class cc.mallet.topics.TopicalNGrams
- estimate(InstanceList, InstanceList, int, int, int, int, String, Randoms) - Method in class cc.mallet.topics.HierarchicalPAM
- estimateAll(int) - Method in class cc.mallet.topics.LDAStream
- estimateConfidence(DocumentExtraction) - Method in class cc.mallet.extract.ExtractionConfidenceEstimator
- estimateConfidence(DocumentExtraction) - Method in class cc.mallet.extract.TransducerExtractionConfidenceEstimator
- estimateConfidence(Extraction) - Method in class cc.mallet.extract.ExtractionConfidenceEstimator
- 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.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(Segment, SumLatticeDefault) - Method in class cc.mallet.fst.confidence.RandomConfidenceEstimator
-
Randomly generate 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.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(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(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. - Estimator() - Constructor for class cc.mallet.types.Dirichlet.Estimator
- Estimator() - Constructor for class cc.mallet.types.Multinomial.Estimator
- Estimator(double[], int, Alphabet) - Constructor for class cc.mallet.types.Multinomial.Estimator
- Estimator(double[], Alphabet) - Constructor for class cc.mallet.types.Multinomial.Estimator
- Estimator(int) - Constructor for class cc.mallet.types.Multinomial.Estimator
- Estimator(Alphabet) - Constructor for class cc.mallet.types.Multinomial.Estimator
- Estimator(Collection<Multinomial>) - Constructor for class cc.mallet.types.Dirichlet.Estimator
- EuclideanDistance - Class in cc.mallet.types
- EuclideanDistance() - Constructor for class cc.mallet.types.EuclideanDistance
- 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[], Clusterer) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
- evaluate(Clustering[], Clustering[]) - Method in class cc.mallet.cluster.evaluate.ClusteringEvaluator
- 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.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.MedoidEvaluator
- 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.RandomEvaluator
- evaluate(Neighbor) - Method in class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
- 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 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.RandomEvaluator
- evaluate(Neighbor[]) - Method in class cc.mallet.cluster.neighbor_evaluator.RankingNeighborEvaluator
- evaluate(Extraction) - 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) - Method in class cc.mallet.extract.PerFieldF1Evaluator
- evaluate(Extraction, PrintStream) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
- evaluate(Extraction, PrintWriter) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
- evaluate(TransducerEvaluator, InstanceList) - Method in class cc.mallet.fst.CRF
-
Deprecated.
- evaluate(Transducer, ArrayList, InstanceList, ArrayList, String, PrintStream, boolean) - Method in class cc.mallet.fst.confidence.ConfidenceCorrectorEvaluator
-
Only evaluates over sequences which contain errors.
- evaluate(TransducerTrainer) - Method in class cc.mallet.fst.TransducerEvaluator
-
Evaluates a TransducerTrainer and its Transducer on the instance lists specified in the constructor.
- 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.
- evaluate(String, Extraction, PrintStream) - Method in class cc.mallet.extract.AccuracyCoverageEvaluator
- evaluate(String, Extraction, PrintStream) - Method in class cc.mallet.extract.PerFieldF1Evaluator
- evaluate(String, Extraction, PrintWriter) - Method in class cc.mallet.extract.PerDocumentF1Evaluator
- 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
- 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
- executor - Variable in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
- executor - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
- 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, Classification[], double) - Constructor for class cc.mallet.types.ExpGain
- ExpGain(InstanceList, LabelVector[], double) - Constructor for class cc.mallet.types.ExpGain
- ExpGain.Factory - Class in cc.mallet.types
- expNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
- 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).
- 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).
- extendedDotProduct(DenseVector) - Method in class cc.mallet.types.SparseVector
- extendedDotProduct(SparseVector) - Method in class cc.mallet.types.SparseVector
- extract(int) - Method in class cc.mallet.pipe.StringIterator
-
Extracts a substring from the specified range of the current text.
- extract(int, int) - Method in class cc.mallet.pipe.StringIterator
-
Extracts a substring from the specified range of the current text.
- extract(Tokenization) - Method in class cc.mallet.extract.CRFExtractor
- extract(Tokenization) - Method in interface cc.mallet.extract.Extractor
-
Performs extraction from an object that has been already been tokenized.
- extract(InstanceList) - Method in class cc.mallet.extract.CRFExtractor
-
Assumes Instance.source contains the Tokenization object.
- extract(Object) - Method in class cc.mallet.extract.CRFExtractor
- extract(Object) - Method in interface cc.mallet.extract.Extractor
-
Performs extraction given a raw object.
- extract(Iterator<Instance>) - Method in class cc.mallet.extract.CRFExtractor
- extract(Iterator<Instance>) - Method in interface cc.mallet.extract.Extractor
-
Performs extraction on a a set of raw documents.
- 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, PrintStream, boolean) - Static method in class cc.mallet.extract.LatticeViewer
- extraction2html(Extraction, CRFExtractor, PrintWriter) - 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
- 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.
- Extractor - Interface in cc.mallet.extract
-
Generic interface for objects that do information extraction.
F
- factorial(int) - Static method in class cc.mallet.util.Maths
- 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.
- 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.
- 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.
- Factors(CRF.Factors, boolean) - Constructor for class cc.mallet.fst.CRF.Factors
-
Construct new Factors by copying the other one.
- Factory() - Constructor for class cc.mallet.classify.ClassifierTrainer.Factory
- Factory() - Constructor for class cc.mallet.classify.DecisionTreeTrainer.Factory
- Factory() - Constructor for class cc.mallet.classify.NaiveBayesTrainer.Factory
- Factory() - Constructor for class cc.mallet.classify.tests.TestStaticParameters.Factory
- Factory() - Constructor for class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood.Factory
- Factory() - Constructor for class cc.mallet.fst.CRFOptimizableByLabelLikelihood.Factory
- Factory() - Constructor for class cc.mallet.fst.MaxLatticeDefault.Factory
- Factory() - Constructor for class cc.mallet.fst.SumLatticeDefault.Factory
- Factory() - Constructor for class cc.mallet.fst.SumLatticeScaling.Factory
- Factory() - Constructor for class cc.mallet.types.BiNormalSeparation.Factory
- Factory() - Constructor for class cc.mallet.types.FeatureCounts.Factory
- Factory() - Constructor for class cc.mallet.types.InfoGain.Factory
- Factory() - Constructor for class cc.mallet.types.PerLabelFeatureCounts.Factory
- Factory() - Constructor for class cc.mallet.types.PerLabelInfoGain.Factory
- Factory(int) - Constructor for class cc.mallet.fst.SumLatticeBeam.Factory
- Factory(LabelVector[]) - Constructor for class cc.mallet.types.ExpGain.Factory
- Factory(LabelVector[]) - Constructor for class cc.mallet.types.GradientGain.Factory
- Factory(LabelVector[], double) - Constructor for class cc.mallet.types.ExpGain.Factory
- FALSE_NEGATIVE - Static variable in class cc.mallet.types.ROCData
- FALSE_POSITIVE - Static variable in class cc.mallet.types.ROCData
- FEATURE_SEQUENCE - Static variable in class cc.mallet.pipe.iterator.DBInstanceIterator
- FEATURE_SEQUENCE - Static variable in class cc.mallet.util.DBInstanceStore
- FEATURE_VECTOR - Static variable in class cc.mallet.pipe.iterator.DBInstanceIterator
- FEATURE_VECTOR - Static variable in class cc.mallet.util.DBInstanceStore
- FEATURE_VECTOR_SEQUENCE - Static variable in class cc.mallet.pipe.iterator.DBInstanceIterator
- FEATURE_VECTOR_SEQUENCE - Static variable in class cc.mallet.util.DBInstanceStore
- FeatureConjunction - Class in cc.mallet.types
- FeatureConjunction(Alphabet, int[]) - Constructor for class cc.mallet.types.FeatureConjunction
- FeatureConjunction(Alphabet, int[], boolean[]) - Constructor for class cc.mallet.types.FeatureConjunction
- FeatureConjunction(String, Alphabet, int[], boolean[]) - Constructor for class cc.mallet.types.FeatureConjunction
- FeatureConjunction(String, Alphabet, int[], boolean[], boolean) - Constructor for class cc.mallet.types.FeatureConjunction
- 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.List - Class in cc.mallet.types
- 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
- FeatureCooccurrenceCounter - Class in cc.mallet.util
- FeatureCooccurrenceCounter(InstanceList) - Constructor for class cc.mallet.util.FeatureCooccurrenceCounter
- FeatureCounter - Class in cc.mallet.types
-
Efficient, compact, incremental counting of features in an alphabet.
- FeatureCounter(Alphabet) - Constructor for class cc.mallet.types.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(Alphabet, double[]) - Constructor for class cc.mallet.types.FeatureCounts
- FeatureCounts(InstanceList) - Constructor for class cc.mallet.types.FeatureCounts
- FeatureCounts.Factory - Class in cc.mallet.types
- FeatureCountTool - Class in cc.mallet.util
- FeatureCountTool(InstanceList) - Constructor for class cc.mallet.util.FeatureCountTool
- 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) - Constructor for class cc.mallet.types.FeatureInducer
- FeatureInducer(RankedFeatureVector.Factory, InstanceList, int, int, int) - Constructor for class cc.mallet.types.FeatureInducer
- featureInducers - Variable in class cc.mallet.fst.CRF
- 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) - Constructor for class cc.mallet.types.FeatureSelection
- FeatureSelection(Alphabet, BitSet) - 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, double) - Constructor for class cc.mallet.types.FeatureSelector
- FeatureSelector(RankedFeatureVector.Factory, int) - Constructor for class cc.mallet.types.FeatureSelector
- FeatureSelector(RankedFeatureVector.PerLabelFactory, double) - Constructor for class cc.mallet.types.FeatureSelector
- FeatureSelector(RankedFeatureVector.PerLabelFactory, int) - Constructor for class cc.mallet.types.FeatureSelector
- FeatureSequence - Class in cc.mallet.types
-
An implementation of
Sequencethat ensures that every Object in the sequence has the same class. - FeatureSequence(Alphabet) - Constructor for class cc.mallet.types.FeatureSequence
- FeatureSequence(Alphabet, int) - Constructor for class cc.mallet.types.FeatureSequence
- 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
- FeatureSequence2AugmentableFeatureVector - Class in cc.mallet.pipe
-
Convert the data field from a feature sequence to an augmentable feature vector.
- FeatureSequence2AugmentableFeatureVector() - Constructor for class cc.mallet.pipe.FeatureSequence2AugmentableFeatureVector
- FeatureSequence2AugmentableFeatureVector(boolean) - 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() - Constructor for class cc.mallet.pipe.FeatureSequence2FeatureVector
- FeatureSequence2FeatureVector(boolean) - 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) - Constructor for class cc.mallet.pipe.tsf.FeaturesInWindow
-
equivalent to
FeaturesInWindow((namePrefix, leftBoundaryOffset, rightBoundaryOffset, null, true); - FeaturesInWindow(String, int, int, Pattern, boolean) - Constructor for class cc.mallet.pipe.tsf.FeaturesInWindow
- FeaturesOfFirstMention - Class in cc.mallet.pipe.tsf
- FeaturesOfFirstMention(String) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
- FeaturesOfFirstMention(String, String, Pattern) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
- FeaturesOfFirstMention(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.FeaturesOfFirstMention
- FeaturesOfFirstMention(String, Pattern, Pattern, boolean) - 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() - Constructor for class cc.mallet.fst.FeatureTransducer
- FeatureTransducer(Alphabet) - Constructor for class cc.mallet.fst.FeatureTransducer
- FeatureTransducer(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.FeatureTransducer
- FeatureTransducer.State - Class in cc.mallet.fst
- FeatureTransducer.Transition - Class in cc.mallet.fst
- FeatureTransducer.TransitionIterator - Class in cc.mallet.fst
- FeatureValueString2FeatureVector - Class in cc.mallet.pipe
- FeatureValueString2FeatureVector() - Constructor for class cc.mallet.pipe.FeatureValueString2FeatureVector
- FeatureValueString2FeatureVector(Alphabet) - Constructor for class cc.mallet.pipe.FeatureValueString2FeatureVector
- FeatureVector - Class in cc.mallet.types
-
A subset of an
Alphabetin which each element of the subset has an associated value. - FeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.FeatureVector
-
Create a dense vector
- FeatureVector(Alphabet, int[]) - Constructor for class cc.mallet.types.FeatureVector
-
Create binary 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[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVector
- FeatureVector(Alphabet, PropertyList, boolean) - Constructor for class cc.mallet.types.FeatureVector
- FeatureVector(Alphabet, PropertyList, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVector
- FeatureVector(Alphabet, Object[], double[]) - Constructor for class cc.mallet.types.FeatureVector
- FeatureVector(FeatureSequence) - Constructor for class cc.mallet.types.FeatureVector
- FeatureVector(FeatureSequence, 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(Alphabet, TokenSequence) - Constructor for class cc.mallet.types.FeatureVectorSequence
- FeatureVectorSequence(Alphabet, TokenSequence, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVectorSequence
- FeatureVectorSequence(Alphabet, TokenSequence, boolean, boolean, boolean) - Constructor for class cc.mallet.types.FeatureVectorSequence
- FeatureVectorSequence(FeatureVector[]) - Constructor for class cc.mallet.types.FeatureVectorSequence
- FeatureVectorSequence.Iterator - Class in cc.mallet.types
-
An iterator over the FeatureVectors in the sequence.
- 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
- File(Class, String, String, boolean, File, String, String) - Constructor for class cc.mallet.util.CommandOption.File
- FileIterator - Class in cc.mallet.pipe.iterator
-
An iterator that generates instances from an initial directory or set of directories.
- FileIterator(File) - 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
-
Construct a FileIterator that will supply filenames within initial directories as instances
- 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(File, FileFilter) - 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, Pattern) - Constructor for class cc.mallet.pipe.iterator.FileIterator
- FileIterator(File, Pattern, boolean) - 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
- 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(String, FileFilter) - 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
- 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(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, 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[], 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
- 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
- findClosest(double[]) - Method in class cc.mallet.topics.WordEmbeddings
- 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
- FixedVocabTokenizer - Class in cc.mallet.pipe
-
A simple unicode tokenizer that accepts sequences of letters as tokens.
- FixedVocabTokenizer(Alphabet) - Constructor for class cc.mallet.pipe.FixedVocabTokenizer
- folder - Variable in class cc.mallet.types.tests.TestMatrixOps
- 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
- formatter - Variable in class cc.mallet.topics.WeightedTopicModel
- 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.
- FSTConstraintUtil - Class in cc.mallet.fst.semi_supervised
-
Expectation constraint utilities for fst package.
- FSTConstraintUtil() - Constructor for class cc.mallet.fst.semi_supervised.FSTConstraintUtil
G
- g2(double, double, double, double) - Method in class cc.mallet.util.FeatureCooccurrenceCounter
- 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
- gammaCDF(double, double, double) - Static method in class cc.mallet.util.StatFunctions
- gammaInverseCDF(double, double, double) - Static method in class cc.mallet.util.StatFunctions
- gammaPDF(double, double, double) - Static method in class cc.mallet.util.StatFunctions
- 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(PRAuxiliaryModel, double[][][][]) - Method in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
- 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
- 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.
- 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.
- generateStoplist(SimpleTokenizer, NGramPreprocessor) - Static method in class cc.mallet.util.DBBulkLoader
-
Read the data from inputFiles, then write all the words that do not occur pruneCount.value times or more to the pruned word file.
- get(int) - Method in class cc.mallet.cluster.Clusterings
- 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(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
Instanceat the specified index. - get(int) - Method in interface cc.mallet.types.Sequence
- get(int) - Method in class cc.mallet.util.DoubleList
- get(int, int) - Method in class cc.mallet.cluster.util.PairwiseMatrix
- 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.
- getAccuracy() - Method in class cc.mallet.classify.Trial
-
Return the fraction of instances that have the correct label as their best predicted label.
- getAccuracy(InstanceList) - Method in class cc.mallet.classify.Classifier
- 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
- getAlpha() - Method in class cc.mallet.topics.RTopicModel
- 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.MostFrequentClassAssignmentTrainer
- getAlphabet() - Method in class cc.mallet.classify.NaiveBayesTrainer
- getAlphabet() - Method in class cc.mallet.classify.RandomAssignmentTrainer
- 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.LabeledLDA
- 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 class cc.mallet.topics.WeightedTopicModel
- 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.MostFrequentClassAssignmentTrainer
- getAlphabets() - Method in class cc.mallet.classify.NaiveBayesTrainer
- getAlphabets() - Method in class cc.mallet.classify.RandomAssignmentTrainer
- 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
- 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() - 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.
- getAverageRank(InstanceList) - Method in class cc.mallet.classify.Classifier
- getBackgroundTag() - Method in class cc.mallet.extract.CRFExtractor
- getBackgroundTag() - Method in class cc.mallet.extract.DocumentExtraction
- getBar(double, double, double) - Static method in class cc.mallet.topics.NonNegativeMatrixFactorization
- getBars(double[]) - Static method in class cc.mallet.topics.NonNegativeMatrixFactorization
- getBars(double[], double, double) - Static method in class cc.mallet.topics.NonNegativeMatrixFactorization
- 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 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 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
- 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
- getCharSequence() - Method in class cc.mallet.util.CharSequenceLexer
- 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.MostFrequentClassAssignmentTrainer
- getClassifier() - Method in class cc.mallet.classify.NaiveBayesEMTrainer
- getClassifier() - Method in class cc.mallet.classify.NaiveBayesTrainer
- getClassifier() - Method in class cc.mallet.classify.RandomAssignmentTrainer
- 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
- 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() - Method in class cc.mallet.fst.semi_supervised.pr.ConstraintsOptimizableByPR
- getCompleteValueContribution() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
- 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
- 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
- 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
- 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.LabeledLDA
- 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.topics.WeightedTopicModel
- 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
Alphabetmapping 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
- getDefaultWeights() - Method in class cc.mallet.fst.CRF
- 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() - 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() - 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.
- getDestinationState(int) - Method in class cc.mallet.fst.CRF.State
- getDestinationState(int) - Method in class cc.mallet.fst.HMM.State
- getDiagnostics(double) - Method in class cc.mallet.topics.RTopicModel
- 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.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
- getDivergence() - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- getDmrParameters() - Method in class cc.mallet.topics.DMRTopicModel
- getDocLengthCounts() - Method in class cc.mallet.topics.WorkerCallable
- 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
- getDocumentFrequencies() - Method in class cc.mallet.util.FeatureCountTool
- getDocumentNames() - Method in class cc.mallet.topics.RTopicModel
- getDocumentPercent(int) - Method in class cc.mallet.topics.TopicModelDiagnostics
- getDocumentPercentRatio(int, int) - Method in class cc.mallet.topics.TopicModelDiagnostics
- getDocumentTopics(boolean, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
- getDoPruning() - Method in class cc.mallet.classify.C45Trainer
- getEffectiveNumberOfWords() - Method in class cc.mallet.topics.TopicModelDiagnostics
- getEmissionMultinomial() - Method in class cc.mallet.fst.HMM
- 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
- getEstimator() - Method in class cc.mallet.topics.WeightedTopicModel
- 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
- getExclusivity() - Method in class cc.mallet.topics.TopicModelDiagnostics
-
Low-quality topics may have words that are also prominent in other topics.
- 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
- 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
- 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
- getExtractedSpans() - Method in class cc.mallet.extract.DocumentExtraction
- getExtractor() - Method in class cc.mallet.extract.Extraction
- getF1(int) - Method in class cc.mallet.classify.Trial
-
Calculate the F1-measure for a particular target index from an array list of classifications
- 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(Labeling) - Method in class cc.mallet.classify.Trial
- 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
- getFeatureAbsentChild() - Method in class cc.mallet.classify.DecisionTree.Node
- getFeatureCounter() - Method in class cc.mallet.pipe.FeatureCountPipe
- getFeatureCounts() - Method in class cc.mallet.util.FeatureCountTool
- 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.
- 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
- 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
- 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
- getFirstToken() - Method in class cc.mallet.util.Replacement
- getFullName() - Method in class cc.mallet.util.CommandOption
- getGainRatio() - Method in class cc.mallet.classify.C45.Node
- getGammaProbability(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
- getGammaProbability(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
- getGammaProbability(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
- getGammaProbability(int, int) - Method in class cc.mallet.fst.SumLatticeDefault
- getGammaProbability(int, int) - Method in class cc.mallet.fst.SumLatticeScaling
- getGammaProbability(int, Transducer.State) - 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, Transducer.State) - 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, Transducer.State) - 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, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeDefaultCachedDot
- getGammaWeight(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticeKL
- getGammaWeight(int, int) - Method in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
- getGammaWeight(int, int) - Method in class cc.mallet.fst.SumLatticeDefault
- getGammaWeight(int, int) - Method in class cc.mallet.fst.SumLatticeScaling
- getGammaWeight(int, Transducer.State) - 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, Transducer.State) - 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, Transducer.State) - 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
- 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
- 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() - 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
- getInferencer() - Method in class cc.mallet.topics.DMRTopicModel
-
Return a tool for estimating topic distributions for new documents
- 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
- getInitialMultinomial() - Method in class cc.mallet.fst.HMM
- 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
- getInputPipe() - Method in class cc.mallet.fst.Transducer
- 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
- getInstances(String) - Static method in class cc.mallet.pipe.iterator.DBInstanceIterator
- getInstancesWithFeature(int) - Method in class cc.mallet.types.InvertedIndex
- getInstancesWithFeature(Object) - Method in class cc.mallet.types.InvertedIndex
- getInstanceWeight(int) - Method in class cc.mallet.types.InstanceList
- getInstanceWeight(Instance) - 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
- getKey() - Method in class cc.mallet.util.PropertyList.Iterator
- getLabel() - Method in class cc.mallet.extract.LabeledSpan
- getLabel(int) - Method in class cc.mallet.cluster.Clustering
-
Get the cluster label for a particular instance.
- getLabel(int) - Method in class cc.mallet.extract.LabeledSpans
- 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() - 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
- getLabelVector() - Method in class cc.mallet.classify.Classification
- 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
- getMatch() - Method in class cc.mallet.types.StringEditVector
- getMaxDepth() - Method in class cc.mallet.classify.C45Trainer
- 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
- getMeanError() - Method in class cc.mallet.topics.WordEmbeddingCallable
- getMetric(double) - Static method in class cc.mallet.types.Minkowski
- getMinDocumentLength() - Method in class cc.mallet.topics.WordEmbeddings
- 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() - Method in class cc.mallet.types.Instance
- getName() - Method in class cc.mallet.util.CommandOption
- getName(Alphabet, int[]) - Static method in class cc.mallet.types.FeatureConjunction
- getName(Alphabet, int[], boolean[]) - Static method in class cc.mallet.types.FeatureConjunction
- getName(Alphabet, int, int) - Static method in class cc.mallet.types.FeatureConjunction
- getNewCluster() - Method in class cc.mallet.cluster.neighbor_evaluator.AgglomerativeNeighbor
- 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
- 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.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.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 interface cc.mallet.optimize.Optimizable.ByVotedPerceptron
- getNumLabels() - Method in class cc.mallet.fst.semi_supervised.StateLabelMap
-
Returns the number of labels in the map.
- getNumParameters() - 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 interface cc.mallet.optimize.Optimizable
- getNumParameters() - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
- getNumParameters() - Method in class cc.mallet.regression.LeastSquares
- getNumParameters() - Method in class cc.mallet.regression.LinearRegressionTrainer
- getNumParameters() - Method in class cc.mallet.topics.DMROptimizable
- getNumParameters(Pipe) - Static method in class cc.mallet.classify.MaxEnt
- getNumRecords() - Method in class cc.mallet.extract.Extraction
- 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
- getNumTopics() - Method in class cc.mallet.topics.WeightedTopicModel
- 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
- 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
- getOptimizable() - Method in class cc.mallet.classify.MaxEntTrainer
- 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
- getOptimizable(InstanceList) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
- getOptimizable(InstanceList) - Method in class cc.mallet.classify.MaxEntGETrainer
- getOptimizable(InstanceList) - Method in class cc.mallet.classify.MaxEntTrainer
- getOptimizable(InstanceList) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
- getOptimizable(InstanceList, MaxEnt) - Method in class cc.mallet.classify.MaxEntTrainer
- 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() - Method in class cc.mallet.classify.MaxEntPRTrainer
- getOptimizer() - Method in class cc.mallet.classify.MaxEntTrainer
- getOptimizer() - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
- getOptimizer() - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
- getOptimizer() - Method in class cc.mallet.fst.CRFTrainerByValueGradients
- getOptimizer() - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
- getOptimizer() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
- getOptimizer() - Method in interface cc.mallet.fst.TransducerTrainer.ByOptimization
- getOptimizer(Optimizable.ByGradientValue) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
- getOptimizer(InstanceList) - Method in class cc.mallet.classify.MaxEntL1Trainer
- 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(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
- getOptimizer(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
- getOptimizer(InstanceList) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
-
Returns a L-BFGS optimizer, creating if one doesn't exist.
- 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
- 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) - 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 interface cc.mallet.optimize.Optimizable
- getParameter(int) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
- getParameter(int) - Method in class cc.mallet.regression.LeastSquares
- getParameter(int) - Method in class cc.mallet.regression.LinearRegressionTrainer
- getParameter(int) - Method in class cc.mallet.topics.DMROptimizable
- 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
- getParameters() - Method in class cc.mallet.classify.MaxEnt
- getParameters() - Method in class cc.mallet.classify.MCMaxEnt
- getParameters() - Method in class cc.mallet.classify.PRAuxClassifier
- getParameters() - Method in class cc.mallet.fst.CRF
- getParameters() - Method in class cc.mallet.regression.LinearRegression
- 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(double[]) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
- getParameters(double[]) - Method in class cc.mallet.fst.CRF.Factors
- 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 interface cc.mallet.optimize.Optimizable
- getParameters(double[]) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
- getParameters(double[]) - Method in class cc.mallet.regression.LeastSquares
- getParameters(double[]) - Method in class cc.mallet.regression.LinearRegressionTrainer
- 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() - Method in class cc.mallet.util.search.SearchNode
-
The node that generated this node.
- 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() - Method in class cc.mallet.pipe.iterator.DBInstanceIterator
- getPipe() - Method in class cc.mallet.types.InstanceList
-
Returns the pipe through which each added
Instanceis passed, which may benull. - getPipe(int) - Method in class cc.mallet.pipe.SerialPipes
- 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(int) - Method in class cc.mallet.classify.evaluate.ConfusionMatrix
-
Returns the precision of this predicted class
- getPrecision(int) - Method in class cc.mallet.classify.Trial
-
Calculate the precision for a particular target index from an array list of classifications
- 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(Labeling) - Method in class cc.mallet.classify.Trial
- getPrecision(Label, double) - Method in class cc.mallet.types.ROCData
-
Gets the precision for a specified label and threshold.
- getPrecision(Object) - Method in class cc.mallet.classify.Trial
-
Calculate the precision of the classifier on an instance list for a particular target entry
- getPrecisionForScore(Label, double) - Method in class cc.mallet.types.ROCData
-
Gets the precision for a specified label and score.
- getPredicted() - Method in class cc.mallet.fst.Segment
- getPredicted(int) - 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
- getProbEstimator(int) - Method in class cc.mallet.topics.PolylingualTopicModel
-
Return a tool for estimating topic distributions for new documents
- 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.
- getPrunedAlphabet(int, int, int, int) - Method in class cc.mallet.util.FeatureCountTool
- getQ() - Method in class cc.mallet.util.QR
- getQueryWord() - Method in class cc.mallet.topics.WordEmbeddings
- getQValue() - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
- getR() - Method in class cc.mallet.util.QR
- getRank(int) - Method in class cc.mallet.types.Label
- getRank(int) - Method in interface cc.mallet.types.Labeling
- getRank(int) - Method in class cc.mallet.types.LabelVector
- getRank(int) - Method in class cc.mallet.types.RankedFeatureVector
- getRank(Label) - Method in class cc.mallet.types.Label
- getRank(Label) - Method in interface cc.mallet.types.Labeling
- getRank(Label) - Method in class cc.mallet.types.LabelVector
- getRank(Object) - Method in class cc.mallet.types.RankedFeatureVector
- getRank1Percent() - Method in class cc.mallet.topics.TopicModelDiagnostics
- getRecall(int) - Method in class cc.mallet.classify.Trial
-
Calculate the recall for a particular target index from an array list of classifications
- 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(Labeling) - Method in class cc.mallet.classify.Trial
- getRecall(Label, double) - Method in class cc.mallet.types.ROCData
-
Gets the recall rate for a specified label and threshold.
- getRecall(Object) - Method in class cc.mallet.classify.Trial
-
Calculate the recall of the classifier on an instance list for a particular target entry
- getRecord(int) - Method in class cc.mallet.extract.Extraction
- getRegression() - Method in class cc.mallet.regression.LeastSquares
- 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
- getRootLogger() - Method in class cc.mallet.util.MalletLogger
-
Convenience method for finding the root logger.
- getSampledDistribution(Instance, int, int, int) - Method in class cc.mallet.topics.DMRInferencer
- 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(int, double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
- getScore(Clustering, int, int) - Method in class cc.mallet.cluster.GreedyAgglomerative
- 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(FeatureVector, int, int, int, double[]) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
- 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
- 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() - Method in class cc.mallet.util.search.SearchNode
-
The state for this search node.
- getState(int) - Method in class cc.mallet.fst.CRF
- getState(int) - Method in class cc.mallet.fst.FeatureTransducer
- 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(String) - Method in class cc.mallet.fst.CRF
- getState(String) - Method in class cc.mallet.fst.HMM
- 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
- getStoplist() - Method in class cc.mallet.pipe.SimpleTokenizer
- 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
- getSubCorpusTopicWords(boolean[], boolean, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
- 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.pipe.Pipe
- getTargetAlphabet() - Method in class cc.mallet.types.Instance
- getTargetAlphabet() - Method in class cc.mallet.types.InstanceList
-
Returns the
Alphabetmapping 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
- getTest() - Method in class cc.mallet.topics.LDAStream
- 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.
- getTokensPerTopic() - Method in class cc.mallet.topics.LDA
-
Deprecated.
- getTokensPerTopic() - Method in class cc.mallet.topics.MarginalProbEstimator
- getTokensPerTopic() - Method in class cc.mallet.topics.ParallelTopicModel
- getTokensPerTopic() - Method in class cc.mallet.topics.WorkerCallable
- getTokensPerTopic() - Method in class cc.mallet.topics.WorkerRunnable
- getTokensPerTopic(int[]) - Method in class cc.mallet.topics.TopicModelDiagnostics
- getTokenString() - Method in class cc.mallet.util.CharSequenceLexer
- getTokenString() - Method in interface cc.mallet.util.Lexer
- getTopicAlphabet() - Method in class cc.mallet.topics.LabeledLDA
- 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
- getTopicAlphabet() - Method in class cc.mallet.topics.WeightedTopicModel
- getTopicDocCounts() - Method in class cc.mallet.topics.WorkerCallable
- getTopicDocCounts() - Method in class cc.mallet.topics.WorkerRunnable
- getTopicDocuments(double) - Method in class cc.mallet.topics.ParallelTopicModel
- 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.LabeledLDA
- getTopicTotals() - Method in class cc.mallet.topics.SimpleLDA
- getTopicTotals() - Method in class cc.mallet.topics.WeightedTopicModel
- getTopicWords(boolean, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
- 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.
- 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
- 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
- getTransitionMultinomial() - Method in class cc.mallet.fst.HMM
- 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() - Method in class cc.mallet.fst.Segment
- getTruth(int) - Method in class cc.mallet.fst.Segment
- getTypeTopicCounts() - Method in class cc.mallet.topics.LabeledLDA
- getTypeTopicCounts() - Method in class cc.mallet.topics.LDA
-
Deprecated.
- getTypeTopicCounts() - Method in class cc.mallet.topics.MarginalProbEstimator
- getTypeTopicCounts() - Method in class cc.mallet.topics.ParallelTopicModel
- getTypeTopicCounts() - Method in class cc.mallet.topics.SimpleLDA
- getTypeTopicCounts() - Method in class cc.mallet.topics.WeightedTopicModel
- getTypeTopicCounts() - Method in class cc.mallet.topics.WorkerCallable
- getTypeTopicCounts() - Method in class cc.mallet.topics.WorkerRunnable
- 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
- 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
- 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() - 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() - Method in class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints
- getValue() - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
- 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() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints
- getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints
- 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() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints
- getValue() - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints
- 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 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.regression.LinearRegressionTrainer
- getValue() - Method in class cc.mallet.topics.DMROptimizable
-
The log probability of the observed count vectors given the features.
- getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
- getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints.MaxEntKLFLGEConstraint
- getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints.MaxEntL2FLGEConstraint
- getValue(int) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
- getValue(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
- getValue(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints.OneLabelGEKLConstraint
- getValue(int) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints.OneLabelGEL2Constraint
- getValue(int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
- getValue(int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints.TwoLabelKLGEConstraint
- getValue(int, int) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints.TwoLabelL2GEConstraint
- 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 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.regression.LinearRegressionTrainer
- 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
- getValues() - Method in class cc.mallet.types.SparseVector
- getViterbiNode(int, int) - Method in class cc.mallet.fst.MaxLatticeDefault
- getVocabulary() - Method in class cc.mallet.topics.RTopicModel
- 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() - 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
- getWeight(int, int, Sequence, Transducer.TransitionIterator) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
- getWeightNames(int) - Method in class cc.mallet.fst.CRF.State
- getWeights() - Method in class cc.mallet.classify.BalancedWinnow
- getWeights() - Method in class cc.mallet.fst.CRF
- getWeights(int) - Method in class cc.mallet.fst.CRF
- getWeights(String) - Method in class cc.mallet.fst.CRF
- 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
- getWordFrequencies() - Method in class cc.mallet.topics.RTopicModel
- 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").
- 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
- globalFeatureSelection - Variable in class cc.mallet.fst.CRF
- 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, Classification[]) - Constructor for class cc.mallet.types.GradientGain
- GradientGain(InstanceList, LabelVector[]) - Constructor for class cc.mallet.types.GradientGain
- GradientGain.Factory - Class in cc.mallet.types
- 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
- 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
- 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.types.Alphabet
H
- HALF_LOG_TWO_PI - Static variable in class cc.mallet.types.Dirichlet
- hasFeature(String) - Method in class cc.mallet.fst.confidence.SequenceConfidenceInstance
- hashCode() - Method in class cc.mallet.types.Matrixn
- hashCode() - Method in class cc.mallet.types.MultiInstanceList
- hashCode() - Method in class cc.mallet.types.SparseMatrixn
- HashedSparseVector - Class in cc.mallet.types
- HashedSparseVector() - Constructor for class cc.mallet.types.HashedSparseVector
-
Create an empty vector
- HashedSparseVector(int[]) - Constructor for class cc.mallet.types.HashedSparseVector
-
Create binary 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[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.HashedSparseVector
- hasInfinite - Variable in class cc.mallet.types.DenseMatrix
- hasInfinite - Variable in class cc.mallet.types.SparseVector
- 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.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.DBInstanceIterator
- 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.pipe.StringIterator
- 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.State - Class in cc.mallet.fst
- HMM.TransitionIterator - Class in cc.mallet.fst
- HMM.WeightedIncrementor - Class in cc.mallet.fst
- 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
- 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
Neighborthat 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) - Method in class cc.mallet.types.FeatureCounter
- increment(int, double) - Method in class cc.mallet.types.Multinomial.Estimator
- increment(int, int) - Method in class cc.mallet.types.FeatureCounter
- increment(FeatureSequence) - Method in class cc.mallet.types.Multinomial.Estimator
- increment(FeatureSequence, double) - Method in class cc.mallet.types.Multinomial.Estimator
- increment(FeatureVector) - Method in class cc.mallet.types.Multinomial.Estimator
- increment(FeatureVector, double) - Method in class cc.mallet.types.Multinomial.Estimator
- increment(Object) - Method in class cc.mallet.types.FeatureCounter
- increment(Object, int) - Method in class cc.mallet.types.FeatureCounter
- increment(String, double) - Method in class cc.mallet.types.Multinomial.Estimator
- incrementCount(double) - Method in class cc.mallet.fst.FeatureTransducer.TransitionIterator
- 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
- Incrementor() - Constructor for class cc.mallet.fst.CRF.Factors.Incrementor
- Incrementor() - Constructor for class cc.mallet.fst.HMM.Incrementor
- 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(int, int, Sequence, Transducer.TransitionIterator, double) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
- 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(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
- 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() - Constructor for class cc.mallet.types.IndexedSparseVector
-
Create an empty vector
- IndexedSparseVector(int[]) - Constructor for class cc.mallet.types.IndexedSparseVector
-
Create binary 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[], double[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.IndexedSparseVector
- indexInSegment(int) - Method in class cc.mallet.fst.Segment
- indexOf(double) - Method in class cc.mallet.util.Univariate
- indexOf(int[], int) - Static method in class cc.mallet.util.ArrayUtils
- indexOf(Object) - Method in class cc.mallet.types.MultiInstanceList
- indexOf(Object[], Object) - Static method in class cc.mallet.util.ArrayUtils
- 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(AugmentableFeatureVector, FeatureSelection, FeatureSelection[], FeatureSelection, FeatureSelection[], boolean, boolean, double) - Method in class cc.mallet.classify.DecisionTree.Node
- induceFeatures(InstanceList, boolean, boolean) - Method in class cc.mallet.classify.DecisionTree
- 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
- 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
- InfiniteDistance - Class in cc.mallet.types
- InfiniteDistance() - Constructor for class cc.mallet.types.InfiniteDistance
- infiniteValues - Variable in class cc.mallet.fst.CRFOptimizableByLabelLikelihood
- 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() - Method in class cc.mallet.types.SparseMatrixn
- infinityNorm() - Method in class cc.mallet.types.SparseVector
- infinityNorm(double[]) - Static method in class cc.mallet.types.DenseMatrix
- infinityNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
- 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(Alphabet, double[]) - Constructor for class cc.mallet.types.InfoGain
- InfoGain(InstanceList) - Constructor for class cc.mallet.types.InfoGain
- InfoGain.Factory - Class in cc.mallet.types
- INFORMATION_GAIN - Static variable in class cc.mallet.classify.MCMaxEntTrainer
- initEmissions(Random, double) - Method in class cc.mallet.fst.HMM
- initialize() - Method in class cc.mallet.topics.MultinomialHMM
- initialize(int) - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- initialize(InstanceList, InstanceList, int, Randoms) - Method in class cc.mallet.topics.HierarchicalLDA
- initializeAlphaStatistics(int) - Method in class cc.mallet.topics.WorkerCallable
- 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.LabeledLDA
- 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.
- initializeSortables() - Method in class cc.mallet.topics.WordEmbeddings
- 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.
- 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
einto 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() - Constructor for class cc.mallet.types.InstanceList
-
Deprecated.
- InstanceList(Pipe) - Constructor for class cc.mallet.types.InstanceList
-
Construct an InstanceList with initial capacity of 10, with given default pipe.
- InstanceList(Pipe, int) - Constructor for class cc.mallet.types.InstanceList
-
Construct an InstanceList having given capacity, 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(Randoms, int, int) - Constructor for class cc.mallet.types.InstanceList
- InstanceList(Randoms, Alphabet, String[], int) - Constructor for class cc.mallet.types.InstanceList
- InstanceList(Randoms, Dirichlet, double, double, double, double, String[]) - Constructor for class cc.mallet.types.InstanceList
-
Creates a list consisting of randomly-generated
FeatureVectors. - InstanceList.CrossValidationIterator - Class in cc.mallet.types
-
CrossValidationIteratorallows iterating over pairs ofInstanceList, where each pair is split into training/testing based on nfolds. - InstanceList.StratifiedCrossValidationIterator - Class in cc.mallet.types
-
StratifiedCrossValidationIteratorallows iterating over pairs ofInstanceList, where each pair is split into training/testing based on nfolds, and each fold maintains the distribution properties of the original InstanceList as much as possible. - instanceListDescriptions - Variable in class cc.mallet.fst.TransducerEvaluator
- InstanceListPrinter - Class in cc.mallet.util
- InstanceListPrinter() - Constructor for class cc.mallet.util.InstanceListPrinter
- 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
- instances - Variable in class cc.mallet.topics.RTopicModel
- instances - Variable in class cc.mallet.topics.WordEmbeddingCallable
- instancesFrom(Instance) - Method in class cc.mallet.pipe.Pipe
- 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.
- InstanceWithConfidence - Class in cc.mallet.fst.confidence
-
Helper class to store confidence of an Instance.
- InstanceWithConfidence(Instance, double, boolean) - Constructor for class cc.mallet.fst.confidence.InstanceWithConfidence
- InstanceWithConfidence(Instance, double, Sequence) - Constructor for class cc.mallet.fst.confidence.InstanceWithConfidence
- intArrayToByteArray(int[]) - Static method in class cc.mallet.util.DBInstanceStore
-
Convert an array of integers to an array of bytes by copying the bits of each int to four bytes.
- Integer(Class, String, String, boolean, int, String, String) - Constructor for class cc.mallet.util.CommandOption.Integer
- INTEGER_COUNT - Static variable in class cc.mallet.pipe.tsf.CountMatches
- IntegerArray(Class, String, String, boolean, int[], String, String) - Constructor for class cc.mallet.util.CommandOption.IntegerArray
- 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
- 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
- isApostrophe(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is an apostrophe.
- isArrow(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is an arrow symbol.
- isBackground() - Method in class cc.mallet.extract.LabeledSpan
- isBinary() - Method in class cc.mallet.types.SparseVector
- isBlank(String) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a string is blank.
- isBracket(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a bracket.
- isCapitalized(String) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a string is capitalized.
- isCjkSymbol(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a CJK symbol.
- 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.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
- isCurrency(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a currency symbol.
- isDataAlphabetSet() - Method in class cc.mallet.pipe.Pipe
- isDoubleQuotationMark(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a double quotation mark.
- isEmpty() - Method in class cc.mallet.types.MultiInstanceList
- isEndOfText() - Method in class cc.mallet.pipe.StringIterator
-
Indicates if the current position is at the end of the current document.
- 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
- isGeneralPunctuation(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a punctuation in Unicode.
- 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.
- isHyphen(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is an hyphen.
- isInfinite() - Method in class cc.mallet.types.SparseVector
- isInfinite(double[]) - Static method in class cc.mallet.types.MatrixOps
- isInLexicon(String) - Method in class cc.mallet.types.StringEditFeatureVectorSequence
- isLeaf() - Method in class cc.mallet.classify.C45.Node
- isLeaf() - Method in class cc.mallet.classify.DecisionTree.Node
- isLeftBracket(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a left bracket.
- isListMark(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a list mark.
- isLocked() - Method in class cc.mallet.types.Instance
- isLowerCase(String) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a string is lower case.
- isNaN() - Method in interface cc.mallet.types.ConstantMatrix
- isNaN() - Method in class cc.mallet.types.DenseMatrix
- isNaN() - Method in class cc.mallet.types.SparseMatrixn
- isNaN() - Method in class cc.mallet.types.SparseVector
- isNaN(double[]) - Static method in class cc.mallet.types.MatrixOps
- isNaNOrInfinite() - Method in class cc.mallet.types.SparseVector
- isNaNOrInfinite(double[]) - Static method in class cc.mallet.types.MatrixOps
- 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 aTransducer. - 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
- isPunctuation(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a punctuation in the standard ASCII.
- isQuotationMark(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a quotation mark.
- isRightBracket(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a right bracket.
- isRoot() - Method in class cc.mallet.classify.C45.Node
- isRoot() - Method in class cc.mallet.classify.DecisionTree.Node
- isSeparatorMark(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a separator.
- isSingleQuotationMark(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a single quotation mark.
- 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
- 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.
- isTerminalMark(char) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a final mark.
- isTrainable() - Method in class cc.mallet.fst.CRF
- isTrainable() - Method in class cc.mallet.fst.FeatureTransducer
- isTrainable() - Method in class cc.mallet.fst.HMM
- isUpperCase(String) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a string is upper case.
- 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
- isWhitespace(int) - Static method in class cc.mallet.pipe.StringIterator
-
Check if a character is a whitespace.
- 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
- 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.types.PagedInstanceList
- iterator() - Method in class cc.mallet.util.PropertyList
- Iterator() - Constructor for class cc.mallet.types.FeatureVectorSequence.Iterator
- Iterator() - Constructor for class cc.mallet.types.LabelSequence.Iterator
- Iterator(PropertyList) - Constructor for class cc.mallet.util.PropertyList.Iterator
J
- jensenShannonDivergence(double[], double[]) - Static method in class cc.mallet.util.Maths
-
Returns the Jensen-Shannon divergence.
- join(List<String>, char) - Static method in class cc.mallet.pipe.StringIterator
-
Join a list of strings.
- JSONTopicReports - Class in cc.mallet.topics
- JSONTopicReports(ParallelTopicModel) - Constructor for class cc.mallet.topics.JSONTopicReports
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
- 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, Classification[]) - Constructor for class cc.mallet.types.KLGain
- KLGain(InstanceList, LabelVector[]) - 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) - Constructor for class cc.mallet.cluster.KMeans
-
Construct a KMeans object
- KMeans(Pipe, int, Metric, int) - Constructor for class cc.mallet.cluster.KMeans
-
Construct a KMeans object
L
- label(Instance) - Method in class cc.mallet.fst.Transducer
-
Take input sequence from instance.data and put the output sequence in instance.target.
- label(Instance) - Method in interface cc.mallet.types.Labeler
-
Given the (presumably unlabeled) instanceToLabel, set its target field to the true label.
- Label - Class in cc.mallet.types
- Label() - Constructor for class cc.mallet.types.Label
- LABEL - Static variable in class cc.mallet.pipe.iterator.DBInstanceIterator
- LABEL - Static variable in class cc.mallet.util.DBInstanceStore
- labelAlphabet - Variable in class cc.mallet.topics.LabeledLDA
- 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
ndimensions - 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
- LabeledLDA - Class in cc.mallet.topics
-
LabeledLDA
- LabeledLDA(double, double) - Constructor for class cc.mallet.topics.LabeledLDA
- 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>) - Static method in class cc.mallet.classify.FeatureConstraintUtil
- 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.
- 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
- 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
- LabelSequence - Class in cc.mallet.types
- LabelSequence(Alphabet) - Constructor for class cc.mallet.types.LabelSequence
- LabelSequence(Label[]) - Constructor for class cc.mallet.types.LabelSequence
- LabelSequence(LabelAlphabet, int) - Constructor for class cc.mallet.types.LabelSequence
- LabelSequence(LabelAlphabet, int[]) - Constructor for class cc.mallet.types.LabelSequence
- LabelSequence.Iterator - Class in cc.mallet.types
- LabelsSequence - Class in cc.mallet.types
-
A simple
Sequenceimplementation 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
- LabelVector - Class in cc.mallet.types
- LabelVector(Label[], double[]) - Constructor for class cc.mallet.types.LabelVector
- LabelVector(LabelAlphabet, double[]) - Constructor for class cc.mallet.types.LabelVector
- LabelVector(LabelAlphabet, int[], 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
- LaplaceEstimator() - Constructor for class cc.mallet.types.Multinomial.LaplaceEstimator
- LaplaceEstimator(int) - Constructor for class cc.mallet.types.Multinomial.LaplaceEstimator
- LaplaceEstimator(Alphabet) - Constructor for class cc.mallet.types.Multinomial.LaplaceEstimator
- 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
- LatticeNode() - Constructor for class cc.mallet.fst.semi_supervised.GELattice.LatticeNode
- 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.
- 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 described by Hanna Wallach in "Structured Topic Models for Language" (2008), section 2.4 Method 1: Using the Digamma Recurrence Relation (pp.
- learnParameters(double[], int[][], int[], double, double, int) - Static method in class cc.mallet.types.Dirichlet
-
Learn Dirichlet parameters using frequency histograms described by Hanna Wallach in "Structured Topic Models for Language", section 2.4 Method 1: Using the Digamma Recurrence Relation (pp.
- learnParametersWithDigamma(int[][], int[]) - Method in class cc.mallet.types.Dirichlet
- learnParametersWithDigamma(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
- learnParametersWithHistogram(Object[]) - Method in class cc.mallet.types.Dirichlet
-
Use the fixed point iteration described by Tom Minka.
- learnParametersWithLeaveOneOut(int[][], int[]) - Method in class cc.mallet.types.Dirichlet
-
Learn parameters using Minka's Leave-One-Out (LOO) likelihood
- learnParametersWithLeaveOneOut(Object[]) - Method in class cc.mallet.types.Dirichlet
- 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.
- LeastSquares - Class in cc.mallet.regression
- LeastSquares(InstanceList) - Constructor for class cc.mallet.regression.LeastSquares
- LeastSquares(InstanceList, double) - Constructor for class cc.mallet.regression.LeastSquares
- leftToRight(FeatureSequence, boolean) - Method in class cc.mallet.topics.MarginalProbEstimator
- Legend() - Constructor for class cc.mallet.classify.evaluate.Graph.Legend
- 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
- length(int) - Method in class cc.mallet.cluster.util.PairwiseMatrix
- 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(File) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
- LexiconMembership(File, boolean) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
- LexiconMembership(String, File, boolean) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
- LexiconMembership(String, Reader, boolean) - Constructor for class cc.mallet.pipe.tsf.LexiconMembership
- LF - Static variable in class cc.mallet.pipe.StringIterator
- LimitedMemoryBFGS - Class in cc.mallet.optimize
- LimitedMemoryBFGS(Optimizable.ByGradientValue) - Constructor for class cc.mallet.optimize.LimitedMemoryBFGS
- LINEAR_ORDERING - Static variable in class cc.mallet.topics.WordEmbeddings
- LinearRegression - Class in cc.mallet.regression
- LinearRegression(Alphabet) - Constructor for class cc.mallet.regression.LinearRegression
- LinearRegressionTrainer - Class in cc.mallet.regression
- LinearRegressionTrainer(InstanceList) - Constructor for class cc.mallet.regression.LinearRegressionTrainer
- 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, String, int, int, int) - Constructor for class cc.mallet.pipe.iterator.LineIterator
- LineIterator(Reader, Pattern, 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
- List() - Constructor for class cc.mallet.types.FeatureConjunction.List
- List(String, CommandOption[]) - Constructor for class cc.mallet.util.CommandOption.List
- 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
- load(File) - Static method in class cc.mallet.share.upenn.MaxEntShell
-
Load a classifier from a file.
- load(File) - Static method in class cc.mallet.types.InstanceList
-
Constructs a new
InstanceList, deserialized fromfile. - load(File) - Static method in class cc.mallet.types.PagedInstanceList
-
Constructs a new
InstanceList, deserialized fromfile. - load(File, File, File) - Method in class cc.mallet.topics.tui.DMRLoader
- loadAlphaFromFile(String) - Method in class cc.mallet.topics.MultinomialHMM
- loadDeletions(String) - Method in class cc.mallet.pipe.NGramPreprocessor
- loadDocuments(InstanceList) - Method in class cc.mallet.topics.RTopicModel
- loadDocuments(String) - Method in class cc.mallet.topics.RTopicModel
- 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
- loadReplacements(String) - Method in class cc.mallet.pipe.NGramPreprocessor
- 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
- loadtxt(File) - Static method in class cc.mallet.types.MatrixOps
- 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(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
- location(Object) - Method in class cc.mallet.types.FeatureVector
- lock() - Method in class cc.mallet.types.Instance
- 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)
- logCountRatioCache - Variable in class cc.mallet.topics.WeightedTopicModel
- 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.
- Logged(double[]) - Constructor for class cc.mallet.types.Multinomial.Logged
- Logged(double[], Alphabet) - Constructor for class cc.mallet.types.Multinomial.Logged
- Logged(double[], Alphabet, boolean) - Constructor for class cc.mallet.types.Multinomial.Logged
- Logged(double[], Alphabet, int) - Constructor for class cc.mallet.types.Multinomial.Logged
- Logged(double[], Alphabet, int, boolean) - Constructor for class cc.mallet.types.Multinomial.Logged
- Logged(Multinomial) - Constructor for class cc.mallet.types.Multinomial.Logged
- logger - Static variable in class cc.mallet.classify.tui.MultFileToSequences
- logger - Static variable in class cc.mallet.regression.tui.Regression
- logger - Static variable in class cc.mallet.topics.HierarchicalPAM
- logger - Static variable in class cc.mallet.topics.LabeledLDA
- logger - Static variable in class cc.mallet.topics.ParallelTopicModel
- logger - Static variable in class cc.mallet.util.DBBulkLoader
- logger - Static variable in class cc.mallet.util.DocumentLengths
- logger - Static variable in class cc.mallet.util.FeatureCountTool
- logger - Static variable in class cc.mallet.util.Replacer
- LoggingLevels - Static variable in class cc.mallet.util.MalletLogger
- 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
- logTypeTopicWeights - Variable in class cc.mallet.topics.WeightedTopicModel
- logVal - Variable in class cc.mallet.types.LogNumber
- 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
- lookupIndex(Object) - Method in class cc.mallet.types.Alphabet
- lookupIndex(Object, boolean) - Method in class cc.mallet.types.Alphabet
-
Return -1 if entry isn't present.
- lookupIndex(Object, boolean) - Method in class cc.mallet.types.LabelAlphabet
- lookupIndices(Object[], boolean) - Method in class cc.mallet.types.Alphabet
- lookupLabel(int) - Method in class cc.mallet.types.LabelAlphabet
- lookupLabel(Object) - Method in class cc.mallet.types.LabelAlphabet
- lookupLabel(Object, boolean) - Method in class cc.mallet.types.LabelAlphabet
- lookupNumber(String) - Method in class cc.mallet.util.PropertyList
- 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.types.Alphabet
- lookupObjects(int[], Object[]) - Method in class cc.mallet.types.Alphabet
-
Returns an array of the objects corresponding to
- 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.MultFileToSequences
- 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.RunCRFPipe
- 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.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.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.TestSGML2TokenSequence
- 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.regression.CoordinateDescent
- main(String[]) - Static method in class cc.mallet.regression.LeastSquares
- main(String[]) - Static method in class cc.mallet.regression.LinearRegressionTrainer
- main(String[]) - Static method in class cc.mallet.regression.tui.Regression
- main(String[]) - Static method in class cc.mallet.regression.tui.RegressionImporter
- 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.JSONTopicReports
- main(String[]) - Static method in class cc.mallet.topics.LabeledLDA
- 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.NonNegativeMatrixFactorization
- 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.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.topics.WeightedTopicModel
- main(String[]) - Static method in class cc.mallet.topics.WordEmbeddings
- main(String[]) - Static method in class cc.mallet.transform.DownsampleLabelWords
- 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.DBBulkLoader
- main(String[]) - Static method in class cc.mallet.util.DBInstanceStore
- main(String[]) - Static method in class cc.mallet.util.DocumentLengths
- main(String[]) - Static method in class cc.mallet.util.FeatureCooccurrenceCounter
- main(String[]) - Static method in class cc.mallet.util.FeatureCountTool
- main(String[]) - Static method in class cc.mallet.util.InstanceListPrinter
- 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.Replacer
- main(String[]) - Static method in class cc.mallet.util.StateToInstances
- 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 & in tokens of a token sequence
- MakeAmpersandXMLFriendly() - Constructor for class cc.mallet.pipe.MakeAmpersandXMLFriendly
- makeBinary() - Method in class cc.mallet.types.SparseVector
- 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.WorkerCallable
-
If there is only one thread, we don't need to go through communication overhead.
- makeOnlyThread() - Method in class cc.mallet.topics.WorkerRunnable
-
If there is only one thread, we don't need to go through communication overhead.
- 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
- ManhattenDistance - Class in cc.mallet.types
- ManhattenDistance() - Constructor for class cc.mallet.types.ManhattenDistance
- 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.
- MAPEstimator(Dirichlet) - Constructor for class cc.mallet.types.Multinomial.MAPEstimator
- 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
- matrix - Static variable in class cc.mallet.types.tests.TestMatrixOps
- Matrix - Interface in cc.mallet.types
- matrixMultiply() - Method in class cc.mallet.types.tests.TestMatrixOps
- 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
- matrixTranspose - Static variable in class cc.mallet.types.tests.TestMatrixOps
- max() - Method in class cc.mallet.util.Univariate
- max(double[]) - Static method in class cc.mallet.types.DenseVector
- max(double[]) - Static method in class cc.mallet.types.MatrixOps
- max(double[][]) - Static method in class cc.mallet.types.MatrixOps
- max(int[]) - Static method in class cc.mallet.types.MatrixOps
- max(int[][]) - Static method in class cc.mallet.types.MatrixOps
- 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[]) - 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[], FeatureSelection, FeatureSelection[]) - Constructor for class cc.mallet.classify.MaxEnt
- MaxEntConfidenceEstimator - Class in cc.mallet.fst.confidence
-
Estimates the confidence of a
Segmentextracted by aTransducerusing aMaxEntclassifier to classify segments as "correct" or "incorrect." xxx needs some interface work - MaxEntConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.MaxEntConfidenceEstimator
- MaxEntConfidenceEstimator(Transducer, double) - Constructor for class cc.mallet.fst.confidence.MaxEntConfidenceEstimator
- MaxEntFLGEConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints.MaxEntFLGEConstraint
- 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
- MaxEntFLPRConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints.MaxEntFLPRConstraint
- 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
- 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
- MaxEntKLFLGEConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntKLFLGEConstraints.MaxEntKLFLGEConstraint
- 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
- 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
- MaxEntL2FLGEConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.ge.MaxEntL2FLGEConstraints.MaxEntL2FLGEConstraint
- 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
- MaxEntL2FLPRConstraint(double[], double) - Constructor for class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints.MaxEntL2FLPRConstraint
- 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
- MaxEntL2IndGEConstraint() - Constructor for class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints.MaxEntL2IndGEConstraint
- 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
- MaxEntSequenceConfidenceEstimator - Class in cc.mallet.fst.confidence
-
Estimates the confidence of a
Sequenceextracted by aTransducerusing aMaxEntclassifier to classify Sequences as "correct" or "incorrect." xxx needs some interface work. - MaxEntSequenceConfidenceEstimator(Transducer) - Constructor for class cc.mallet.fst.confidence.MaxEntSequenceConfidenceEstimator
- MaxEntSequenceConfidenceEstimator(Transducer, double) - 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(double) - Constructor for class cc.mallet.classify.MaxEntTrainer
-
Constructs a trainer with a parameter to avoid overtraining.
- MaxEntTrainer(MaxEnt) - Constructor for class cc.mallet.classify.MaxEntTrainer
-
Construct a MaxEnt trainer using a trained classifier as initial values.
- maximize(double) - Method in class cc.mallet.topics.RTopicModel
-
Run iterated conditional modes
- maximize(int) - Method in class cc.mallet.topics.ParallelTopicModel
-
This method implements iterated conditional modes, which is equivalent to Gibbs sampling, but replacing sampling from the conditional distribution with taking the maximum topic.
- Maximum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Maximum
- Maximum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Maximum
- maxIndex(double[]) - Static method in class cc.mallet.types.MatrixOps
- maxIndex(double[][]) - Static method in class cc.mallet.types.MatrixOps
- 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
- MaxLatticeFactory - Class in cc.mallet.fst
- MaxLatticeFactory() - Constructor for class cc.mallet.fst.MaxLatticeFactory
- maxTopic - Variable in class cc.mallet.topics.NPTopicModel
- MCMaxEnt - Class in cc.mallet.classify
-
Maximum Entropy classifier.
- MCMaxEnt(Pipe, double[]) - 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[], FeatureSelection, FeatureSelection[]) - Constructor for class cc.mallet.classify.MCMaxEnt
- MCMaxEntTrainer - Class in cc.mallet.classify
-
The trainer for a Maximum Entropy classifier.
- 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
- MCMaxEntTrainer(MCMaxEnt) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
- MCMaxEntTrainer(CommandOption.List) - Constructor for class cc.mallet.classify.MCMaxEntTrainer
- mean() - Method in class cc.mallet.util.Univariate
- mean(double[]) - Static method in class cc.mallet.types.MatrixOps
- mean(InstanceList) - Static method in class cc.mallet.util.VectorStats
-
Returns a
SparseVectorwhose entries (taken from the union of those in the instances) are the expected values of those in theInstanceList. - mean(InstanceList, int) - Static method in class cc.mallet.util.VectorStats
-
Returns a
SparseVectorwhose entries (dense with the given number of indices) are the expected values of those in theInstanceList. - mean(InstanceList, int[]) - Static method in class cc.mallet.util.VectorStats
-
Returns a
SparseVectorwhose entries (the given indices) are the expected values of those in theInstanceList. - mean(List<Double>) - Static method in class cc.mallet.types.MatrixOps
- 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
- 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.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.Minimum - Class in cc.mallet.cluster.neighbor_evaluator
- MEMM - Class in cc.mallet.fst
-
A Maximum Entropy Markov Model.
- MEMM(CRF) - Constructor for class cc.mallet.fst.MEMM
- MEMM(Pipe, Pipe) - Constructor for class cc.mallet.fst.MEMM
- MEMM(Alphabet, Alphabet) - Constructor for class cc.mallet.fst.MEMM
- MEMM.State - Class in cc.mallet.fst
- MEMM.TransitionIterator - Class in cc.mallet.fst
- MEMMOptimizableByLabelLikelihood(MEMM, InstanceList) - Constructor for class cc.mallet.fst.MEMMTrainer.MEMMOptimizableByLabelLikelihood
- 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.
- MergeCallable - Class in cc.mallet.topics
-
This task copies topic-word counts from a global array to a local thread-specific array.
- MergeCallable(WorkerCallable[], int[][], int, int, int, int, int) - Constructor for class cc.mallet.topics.MergeCallable
- 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
- MEstimator(double) - Constructor for class cc.mallet.types.Multinomial.MEstimator
- MEstimator(int, double) - Constructor for class cc.mallet.types.Multinomial.MEstimator
- MEstimator(Alphabet, double) - Constructor for class cc.mallet.types.Multinomial.MEstimator
- MethodOfMomentsEstimator() - Constructor for class cc.mallet.types.Dirichlet.MethodOfMomentsEstimator
- Metric - Interface in cc.mallet.types
- 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
- min(double[]) - Static method in class cc.mallet.types.MatrixOps
- MinHeap - Class in cc.mallet.util.search
-
Created by IntelliJ IDEA.
- MinHeap() - Constructor for class cc.mallet.util.search.MinHeap
-
Create a binary heap with minimum initial capacity.
- MinHeap(int) - Constructor for class cc.mallet.util.search.MinHeap
-
Create a binary heap with initial capacity
capacity. - Minimum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator.Minimum
- Minimum() - Constructor for class cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator.Minimum
- minimumLength - Variable in class cc.mallet.pipe.FixedVocabTokenizer
- 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
- MLEstimator() - Constructor for class cc.mallet.types.Multinomial.MLEstimator
- MLEstimator(int) - Constructor for class cc.mallet.types.Multinomial.MLEstimator
- MLEstimator(Alphabet) - Constructor for class cc.mallet.types.Multinomial.MLEstimator
- 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.
- model - Variable in class cc.mallet.topics.WordEmbeddingCallable
- modelFilename - Variable in class cc.mallet.topics.ParallelTopicModel
- modelFilename - Variable in class cc.mallet.topics.PolylingualTopicModel
- modelLogLikelihood() - Method in class cc.mallet.topics.DMRTopicModel
- modelLogLikelihood() - Method in class cc.mallet.topics.HierarchicalPAM
- modelLogLikelihood() - Method in class cc.mallet.topics.LabeledLDA
- 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
- MostFrequentClassAssignmentTrainer - Class in cc.mallet.classify
-
A Classifier Trainer to be used with MostFrequentClassifier.
- MostFrequentClassAssignmentTrainer() - Constructor for class cc.mallet.classify.MostFrequentClassAssignmentTrainer
- MostFrequentClassifier - Class in cc.mallet.classify
-
A Classifier that will return the most frequent class label based on a training set.
- MostFrequentClassifier(Pipe) - Constructor for class cc.mallet.classify.MostFrequentClassifier
- moveAhead() - Method in class cc.mallet.pipe.StringIterator
-
Moves the current position ahead of one character.
- moveAhead(int) - Method in class cc.mallet.pipe.StringIterator
-
Moves the current position ahead the specified number of characters.
- movePast(char[]) - Method in class cc.mallet.pipe.StringIterator
-
Moves to the next occurrence of any character that is not one of the specified characters.
- movePastWhitespace() - Method in class cc.mallet.pipe.StringIterator
-
Moves the current position to the next character that is not whitespace.
- moveTo(char) - Method in class cc.mallet.pipe.StringIterator
-
Moves to the next occurrence of the specified character.
- moveTo(char[]) - Method in class cc.mallet.pipe.StringIterator
-
Moves to the next occurrence of any one of the specified.
- moveTo(String) - Method in class cc.mallet.pipe.StringIterator
-
Moves to the next occurrence of the specified string.
- moveToEndOfLine() - Method in class cc.mallet.pipe.StringIterator
-
Moves the current position to the first character that is part of a newline.
- moveToWhitespace() - Method in class cc.mallet.pipe.StringIterator
-
Moves the current position to the next character that is a whitespace.
- MUCEvaluator - Class in cc.mallet.cluster.evaluate
-
Evaluate a Clustering using the MUC evaluation metric.
- MUCEvaluator() - Constructor for class cc.mallet.cluster.evaluate.MUCEvaluator
- MultFileToSequences - Class in cc.mallet.classify.tui
- MultFileToSequences() - Constructor for class cc.mallet.classify.tui.MultFileToSequences
- 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
MultiInstanceListwith an array ofInstanceList - MultiInstanceList(List<InstanceList>) - Constructor for class cc.mallet.types.MultiInstanceList
- Multinomial - Class in cc.mallet.types
-
A probability distribution over a set of features represented as a
FeatureVector. - Multinomial(double[]) - Constructor for class cc.mallet.types.Multinomial
- Multinomial(double[], int) - Constructor for class cc.mallet.types.Multinomial
- Multinomial(double[], Alphabet) - Constructor for class cc.mallet.types.Multinomial
- Multinomial(double[], Alphabet, int, boolean, boolean) - 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.LaplaceEstimator - Class in cc.mallet.types
-
An MEstimator with m set to 1.
- 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.MAPEstimator - Class in cc.mallet.types
-
Unimplemented, but the MEstimators are.
- 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.MLEstimator - Class in cc.mallet.types
-
An MEstimator with m set to 0.
- MultinomialHMM - Class in cc.mallet.topics
-
Latent Dirichlet Allocation.
- MultinomialHMM(int, String, int) - Constructor for class cc.mallet.topics.MultinomialHMM
- 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, InstanceList, String, 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, Object[], Object[]) - Constructor for class cc.mallet.fst.MultiSegmentationEvaluator
- 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() - Constructor for class cc.mallet.classify.NaiveBayesTrainer
- NaiveBayesTrainer(NaiveBayes) - Constructor for class cc.mallet.classify.NaiveBayesTrainer
- NaiveBayesTrainer(Pipe) - Constructor for class cc.mallet.classify.NaiveBayesTrainer
- NaiveBayesTrainer.Factory - Class in cc.mallet.classify
- name - Variable in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
- name - Variable in class cc.mallet.types.Instance
- name(int) - Method in class cc.mallet.classify.evaluate.Graph.Legend
- 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
Clusteringto the modifiedClusteringspecified in aNeighborobject. - 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() - Method in class cc.mallet.classify.ClassifierTrainer.Factory
- newClassifierTrainer(Classifier) - 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) - Method in class cc.mallet.fst.CRFOptimizableByLabelLikelihood.Factory
- newCRFOptimizable(CRF, InstanceList, int) - Method in class cc.mallet.fst.CRFOptimizableByBatchLabelLikelihood.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
- newMaxLattice(Transducer, Sequence) - Method in class cc.mallet.fst.MaxLatticeFactory
- newMaxLattice(Transducer, Sequence, Sequence) - Method in class cc.mallet.fst.MaxLatticeDefault.Factory
- newMaxLattice(Transducer, Sequence, Sequence) - Method in class cc.mallet.fst.MaxLatticeFactory
- 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.BiNormalSeparation.Factory
-
Create a new feature ranking for the given instance list.
- 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) - 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, boolean) - Method in class cc.mallet.fst.SumLatticeFactory
- 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, 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
- newSumLattice(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet) - Method in class cc.mallet.fst.SumLatticeFactory
- newTSP() - Method in class cc.mallet.classify.tests.TestStaticParameters.Factory
- next - Variable in class cc.mallet.util.PropertyList
- 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.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.DBInstanceIterator
- 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.pipe.StringIterator
- 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() - 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.
- 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.
- NextNodeIterator() - Constructor for class cc.mallet.util.search.AStarNode.NextNodeIterator
- NextNodeIterator() - Constructor for class cc.mallet.util.search.SearchNode.NextNodeIterator
- nextPoisson() - Method in class cc.mallet.util.Randoms
-
Return nextPoisson(1).
- nextPoisson(double) - Method in class cc.mallet.util.Randoms
-
Return random integer from Poission with parameter lambda.
- 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() - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
-
Returns the next training/testing split.
- nextSplit(int) - Method in class cc.mallet.types.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.
- NextStateIterator() - Constructor for class cc.mallet.util.search.SearchState.NextStateIterator
- 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
- NGramPreprocessor - Class in cc.mallet.pipe
-
This pipe changes text to lowercase, removes common XML entities (quot, apos, lt, gt), and replaces all punctuation except the - character with whitespace.
- NGramPreprocessor() - Constructor for class cc.mallet.pipe.NGramPreprocessor
- NGramPreprocessor.ReplacementSet - Class in cc.mallet.pipe
- no_longer_needed_sumNegLogProb(double, double) - Static method in class cc.mallet.fst.Transducer
- Node(InstanceList, C45.Node, int) - Constructor for class cc.mallet.classify.C45.Node
- Node(InstanceList, C45.Node, int, int[]) - Constructor for class cc.mallet.classify.C45.Node
- Node(InstanceList, DecisionTree.Node, FeatureSelection) - Constructor for class cc.mallet.classify.DecisionTree.Node
- 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
- NONMATCH - Static variable in class cc.mallet.types.StringEditVector
- NonNegativeMatrixFactorization - Class in cc.mallet.topics
- NonNegativeMatrixFactorization(InstanceList, int, boolean) - Constructor for class cc.mallet.topics.NonNegativeMatrixFactorization
- NonNegativeMatrixFactorization(InstanceList, int, boolean, Randoms) - Constructor for class cc.mallet.topics.NonNegativeMatrixFactorization
- 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
- normalize(double[]) - Static method in class cc.mallet.types.DenseVector
- normalize(double[]) - Static method in class cc.mallet.types.MatrixOps
- normalize(String) - Static method in class cc.mallet.pipe.StringIterator
-
Normalize quotation marks and apostrophes.
- 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 - [
- 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
- 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 - Variable in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
- numDimensions() - Method in class cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints
- numDimensions() - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
- 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
- NumericIterator(PropertyList) - Constructor for class cc.mallet.util.PropertyList.NumericIterator
- numFeatures - Variable in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
- numFeatures - Variable in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
- numFeatures - Variable in class cc.mallet.topics.DMRInferencer
- 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.LabeledLDA
- 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
- 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
- numSamples - Variable in class cc.mallet.topics.WordEmbeddingCallable
- 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.CRF
- numStates() - Method in class cc.mallet.fst.FeatureTransducer
- numStates() - Method in class cc.mallet.fst.HMM
- 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.LabeledLDA
- 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.WeightedTopicModel
- numTopics - Variable in class cc.mallet.topics.WorkerCallable
- numTopics - Variable in class cc.mallet.topics.WorkerRunnable
- numTypes - Variable in class cc.mallet.topics.LabeledLDA
- 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.WeightedTopicModel
- numTypes - Variable in class cc.mallet.topics.WorkerCallable
- numTypes - Variable in class cc.mallet.topics.WorkerRunnable
- numValues() - Method in class cc.mallet.extract.Field
O
- Object(Class, String, String, boolean, Object, String, String) - Constructor for class cc.mallet.util.CommandOption.Object
- ObjectFromBean(Class, String, String, boolean, Object, String, String) - Constructor for class cc.mallet.util.CommandOption.ObjectFromBean
- objectIterator() - Method in class cc.mallet.util.PropertyList
- ObjectIterator(PropertyList) - Constructor for class cc.mallet.util.PropertyList.ObjectIterator
- objectToUri(Object) - Static method in class cc.mallet.util.UriUtils
- objWeight - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
- OffsetConjunctions - Class in cc.mallet.pipe.tsf
- OffsetConjunctions(boolean, int[][]) - Constructor for class cc.mallet.pipe.tsf.OffsetConjunctions
- OffsetConjunctions(boolean, Pattern, 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[]) - Constructor for class cc.mallet.pipe.tsf.OffsetFeatureConjunction
- OffsetFeatureConjunction(String, String[], int[], boolean) - Constructor for class cc.mallet.pipe.tsf.OffsetFeatureConjunction
- OffsetFeatureConjunction(String, String[], int[], boolean[], boolean) - Constructor for class cc.mallet.pipe.tsf.OffsetFeatureConjunction
-
Create a Pipe for adding conjunctions of specified features.
- 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
- oldNextGamma(int) - Method in class cc.mallet.util.Randoms
- ols(Univariate, Univariate) - Static method in class cc.mallet.util.StatFunctions
- ONE_OVER_E - Static variable in class cc.mallet.util.Randoms
- oneDocTopicCounts - Variable in class cc.mallet.topics.LabeledLDA
- 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
- oneDocTopicCounts - Variable in class cc.mallet.topics.WeightedTopicModel
- OneLabelGEConstraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints.OneLabelGEConstraint
- 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(IntObjectHashMap<OneLabelGEConstraints.OneLabelGEConstraint>, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
- OneLabelGEConstraints.OneLabelGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
- OneLabelGEKLConstraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelKLGEConstraints.OneLabelGEKLConstraint
- OneLabelGEL2Constraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2GEConstraints.OneLabelGEL2Constraint
- 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
- 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
- OneLabelL2IndGEConstraint() - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint
- OneLabelL2IndPRConstraint() - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints.OneLabelL2IndPRConstraint
- 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(IntObjectHashMap<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
- 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(IntObjectHashMap<OneLabelL2PRConstraints.OneLabelPRConstraint>, IntIntHashMap, StateLabelMap, boolean) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints
- OneLabelL2PRConstraints.OneLabelPRConstraint - Class in cc.mallet.fst.semi_supervised.pr.constraints
- 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(IntObjectHashMap<OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint>, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
- OneLabelL2RangeGEConstraints.OneLabelL2IndGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
- OneLabelPRConstraint(double[], double) - Constructor for class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2PRConstraints.OneLabelPRConstraint
- 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() - Method in class cc.mallet.types.SparseMatrixn
- oneNorm() - Method in class cc.mallet.types.SparseVector
- oneNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
- oneNormalize() - Method in class cc.mallet.types.DenseMatrix
- oneNormalize() - Method in interface cc.mallet.types.Matrix
- oneNormalize() - Method in class cc.mallet.types.SparseMatrixn
- oneNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
- 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
- OptimizableCRF(CRF, InstanceList) - Constructor for class cc.mallet.fst.CRFTrainerByValueGradients.OptimizableCRF
- 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() - Method in class cc.mallet.optimize.ConjugateGradient
- optimize() - Method in class cc.mallet.optimize.GradientAscent
- optimize() - Method in class cc.mallet.optimize.LimitedMemoryBFGS
- optimize() - Method in interface cc.mallet.optimize.Optimizer
- optimize() - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
- optimize(double[], double) - Method in class cc.mallet.optimize.BackTrackLineSearch
- optimize(double[], double) - Method in class cc.mallet.optimize.GradientBracketLineOptimizer
- 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) - Method in class cc.mallet.optimize.AGIS
- optimize(int) - Method in class cc.mallet.optimize.ConjugateGradient
- optimize(int) - Method in class cc.mallet.optimize.GradientAscent
- optimize(int) - Method in class cc.mallet.optimize.LimitedMemoryBFGS
- optimize(int) - Method in interface cc.mallet.optimize.Optimizer
- optimize(int) - Method in class cc.mallet.optimize.OrthantWiseLimitedMemoryBFGS
- optimize(int, int[]) - Method in interface cc.mallet.optimize.Optimizer.ByBatches
-
Deprecated.
- optimize(int, int[]) - Method in class cc.mallet.optimize.StochasticMetaAscent
- optimize(int, int, int[]) - Method in interface cc.mallet.optimize.Optimizer.ByBatches
-
Deprecated.
- optimize(int, int, int[]) - Method in class cc.mallet.optimize.StochasticMetaAscent
- optimizeAlpha(WorkerCallable[]) - Method in class cc.mallet.topics.ParallelTopicModel
- optimizeBeta(WorkerCallable[]) - 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) - Constructor for class cc.mallet.types.PagedInstanceList
- 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
- 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
- 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.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.Minimum - Class in cc.mallet.cluster.neighbor_evaluator
- 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
- parameters - Variable in class cc.mallet.classify.MaxEnt
- parameters - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
- parameters - Variable in class cc.mallet.fst.CRF
- parameters - Variable in class cc.mallet.regression.LinearRegression
- parametersFilename - Variable in class cc.mallet.topics.DMRTopicModel
- 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
- 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) - Method in class cc.mallet.util.CommandOption
- parseArg(String) - Method in class cc.mallet.util.CommandOption.Set
- parseArg(String) - Method in class cc.mallet.util.CommandOption.String
- parseArg(String[], int) - Method in class cc.mallet.util.CommandOption
-
Called after this CommandOption matches an argument.
- parseArg(String[], int) - Method in class cc.mallet.util.CommandOption.SpacedStrings
- 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, double[]) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
- PartiallyRankedFeatureVector(Alphabet, int[], double[]) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
- PartiallyRankedFeatureVector(Alphabet, AugmentableFeatureVector) - Constructor for class cc.mallet.types.PartiallyRankedFeatureVector
- PartiallyRankedFeatureVector(Alphabet, DenseVector) - 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
- peek() - Method in class cc.mallet.pipe.StringIterator
-
Returns the character beyond the current position, or a null character if the specified position is at the end of the document.
- peek(int) - Method in class cc.mallet.pipe.StringIterator
-
Returns the character at the specified number of characters beyond the current position, or a null character if the specified position is at the end of the document.
- 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
- PerLabelInfoGain - Class in cc.mallet.types
- PerLabelInfoGain(InstanceList) - Constructor for class cc.mallet.types.PerLabelInfoGain
- PerLabelInfoGain.Factory - Class in cc.mallet.types
- pf(double, double, double) - Static method in class cc.mallet.util.StatFunctions
- PI_SQUARED_OVER_SIX - Static variable in class cc.mallet.types.Dirichlet
- 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.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
Instancefrom an array to aFeatureVectorleaving 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.CharSequenceNoDiacritics
- 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.CharSequenceReplaceHtmlEntities
- 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.CountsToFeatureSequencePipe
- pipe(Instance) - Method in class cc.mallet.pipe.Csv2Array
-
Convert the data in an
Instancefrom 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(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
- 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(Instance) - Method in class cc.mallet.pipe.FixedVocabTokenizer
- pipe(Instance) - 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.NGramPreprocessor
- pipe(Instance) - Method in class cc.mallet.pipe.Noop
- 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(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.Target2Double
- pipe(Instance) - Method in class cc.mallet.pipe.Target2FeatureSequence
- pipe(Instance) - Method in class cc.mallet.pipe.Target2Integer
- 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.TokenSequence2PorterStems
- 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.TokenSequenceRemoveStopPatterns
- 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.pipe.tsf.WordVectors
- pipe(Instance) - Method in class cc.mallet.pipe.ValueString2FeatureVector
- 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
- pipe(BufferedReader) - Method in class cc.mallet.pipe.SourceLocation2TokenSequence
- pipe(File) - Method in class cc.mallet.pipe.Directory2FileIterator
- pipe(File) - Method in class cc.mallet.pipe.Input2CharSequence
- pipe(File) - Method in class cc.mallet.pipe.SourceLocation2TokenSequence
- pipe(Reader) - Method in class cc.mallet.pipe.Filename2CharSequence
- pipe(Reader) - Method in class cc.mallet.pipe.Input2CharSequence
- pipe(CharSequence) - Method in class cc.mallet.pipe.Input2CharSequence
- pipe(String) - Method in class cc.mallet.pipe.Directory2FileIterator
- pipe(URI) - Method in class cc.mallet.pipe.Directory2FileIterator
- pipe(URI) - Method in class cc.mallet.pipe.Input2CharSequence
- 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.
- 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
- 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
PipeExtendedIteratorinstance. - 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(double) - Method in class cc.mallet.types.DenseMatrix
- plusEquals(double[][], double[][], double) - Static method in class cc.mallet.types.MatrixOps
- 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.DenseMatrix
- plusEquals(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
- plusEquals(double[], double[], double) - Static method in class cc.mallet.types.DenseMatrix
- plusEquals(double[], double[], double) - Static method in class cc.mallet.types.MatrixOps
- 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(AugmentableFeatureVector, double) - Method in class cc.mallet.types.AugmentableFeatureVector
- plusEquals(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
- plusEquals(ConstantMatrix) - Method in interface cc.mallet.types.Matrix
- plusEquals(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
- plusEquals(ConstantMatrix, double) - Method in class cc.mallet.types.DenseMatrix
- plusEquals(ConstantMatrix, double) - Method in interface cc.mallet.types.Matrix
- plusEquals(ConstantMatrix, double) - Method in class cc.mallet.types.SparseMatrixn
- plusEquals(LogNumber) - Method in class cc.mallet.types.LogNumber
- plusEquals(SparseVector) - Method in class cc.mallet.types.AugmentableFeatureVector
- plusEquals(SparseVector, double) - Method in class cc.mallet.types.AugmentableFeatureVector
- 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
- plusEqualsSparse(SparseVector) - Method in class cc.mallet.types.HashedSparseVector
- 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.HashedSparseVector
- plusEqualsSparse(SparseVector, double) - Method in class cc.mallet.types.IndexedSparseVector
- 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
- position() - Method in class cc.mallet.pipe.StringIterator
- 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
- 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
- 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
- Predicate() - Constructor for class cc.mallet.pipe.SerialPipes.Predicate
- predict(Instance) - Method in class cc.mallet.regression.LinearRegression
- predict(InstanceList) - Method in class cc.mallet.fst.CRF
-
Deprecated.
- preProcess(int, int, Sequence) - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
- preProcess(FeatureVector) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
- 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(FeatureVector) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
- preProcess(FeatureVector) - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
- 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(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(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
- preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
- preProcess(FeatureVector) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
- preProcess(FeatureVector) - 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(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(InstanceList) - Method in class cc.mallet.classify.constraints.ge.MaxEntFLGEConstraints
- preProcess(InstanceList) - Method in interface cc.mallet.classify.constraints.ge.MaxEntGEConstraint
- preProcess(InstanceList) - Method in class cc.mallet.classify.constraints.ge.MaxEntRangeL2FLGEConstraints
- preProcess(InstanceList) - Method in class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
- preProcess(InstanceList) - Method in interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint
- preProcess(InstanceList) - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
- preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelGEConstraints
- preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.OneLabelL2RangeGEConstraints
- preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.SelfTransitionGEConstraint
- preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
- preProcess(InstanceList) - Method in class cc.mallet.fst.semi_supervised.pr.constraints.OneLabelL2IndPRConstraints
- 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
- print() - Method in class cc.mallet.classify.C45.Node
-
Prints the tree rooted at this node
- print() - Method in class cc.mallet.classify.C45
-
Prints the tree
- print() - 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() - Method in class cc.mallet.classify.DecisionTree.Node
- print() - Method in class cc.mallet.classify.MaxEnt
- print() - Method in class cc.mallet.classify.MCMaxEnt
- print() - Method in class cc.mallet.classify.RankMaxEnt
- print() - 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() - Method in class cc.mallet.types.AugmentableFeatureVector
- print() - Method in interface cc.mallet.types.ConstantMatrix
- print() - Method in class cc.mallet.types.DenseMatrix
- print() - Method in class cc.mallet.types.Dirichlet
- 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() - Method in class cc.mallet.util.PrintUtilities
- print() - Method in class cc.mallet.util.PropertyList
- print(double[]) - Static method in class cc.mallet.types.DenseVector
- print(double[]) - Static method in class cc.mallet.types.MatrixOps
-
Prints a double array to standard output
- print(double[]) - Static method in class cc.mallet.util.ArrayUtils
- print(double[][]) - Static method in class cc.mallet.types.MatrixOps
- print(double[][]) - Method in class cc.mallet.util.SVD
- print(int[]) - Static method in class cc.mallet.types.DenseVector
- print(int[]) - Static method in class cc.mallet.types.MatrixOps
- print(int[]) - Static method in class cc.mallet.util.ArrayUtils
- print(int[][]) - Static method in class cc.mallet.types.MatrixOps
- print(Graphics, PageFormat, int) - Method in class cc.mallet.util.PrintUtilities
- print(PrintStream) - Method in class cc.mallet.classify.MaxEnt
- print(PrintWriter) - Method in class cc.mallet.classify.Classification
- print(PrintWriter) - Method in class cc.mallet.classify.Classifier
- print(PrintWriter) - Method in class cc.mallet.classify.MaxEnt
- print(PrintWriter) - Method in class cc.mallet.extract.Extraction
- print(PrintWriter) - Method in class cc.mallet.fst.CRF
- print(PrintWriter, double[]) - Static method in class cc.mallet.types.MatrixOps
-
Prints a double array to the given PrintWriter.
- print(String) - Method in class cc.mallet.classify.C45.Node
- printAverageScores() - Method in class cc.mallet.classify.ConfidencePredictingClassifier
- printBidiag() - Method in class cc.mallet.util.SVD
- 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.FeatureCooccurrenceCounter
- printCounts() - Method in class cc.mallet.util.FeatureCountTool
- printDenseDocumentTopics(File) - Method in class cc.mallet.topics.AbstractTopicReports
- printDenseDocumentTopics(File) - Method in interface cc.mallet.topics.TopicReports
- printDenseDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.AbstractTopicReports
- printDenseDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.JSONTopicReports
- printDenseDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.ParallelTopicModel
- printDenseDocumentTopics(PrintWriter) - Method in interface cc.mallet.topics.TopicReports
- printDocumentTopics(File) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- printDocumentTopics(File) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printDocumentTopics(File) - Method in class cc.mallet.topics.PAM4L
- printDocumentTopics(File) - Method in class cc.mallet.topics.ParallelTopicModel
- printDocumentTopics(File) - Method in class cc.mallet.topics.PolylingualTopicModel
- printDocumentTopics(File) - Method in class cc.mallet.topics.TopicalNGrams
- printDocumentTopics(File, double, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printDocumentTopics(File, double, int) - Method in class cc.mallet.topics.SimpleLDA
- printDocumentTopics(File, double, int) - Method in interface cc.mallet.topics.TopicReports
- printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.ParallelTopicModel
- printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.PolylingualTopicModel
- printDocumentTopics(PrintWriter) - Method in class cc.mallet.topics.TopicalNGrams
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.JSONTopicReports
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.PAM4L
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.ParallelTopicModel
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.PolylingualTopicModel
- printDocumentTopics(PrintWriter, double, int) - Method in class cc.mallet.topics.TopicalNGrams
- printDocumentTopics(PrintWriter, double, int) - Method in interface cc.mallet.topics.TopicReports
- 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
- printExtremeFeatures(PrintWriter, int) - Method in class cc.mallet.classify.MaxEnt
- printFactorFeatures(int) - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- printFullBidiag() - Method in class cc.mallet.util.SVD
- printGradient - Variable in class cc.mallet.fst.CRFTrainerByLabelLikelihood
- PrintInput - Class in cc.mallet.pipe
-
Print the data field of each instance.
- PrintInput() - Constructor for class cc.mallet.pipe.PrintInput
- PrintInput(PrintStream) - Constructor for class cc.mallet.pipe.PrintInput
- PrintInput(String) - 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() - Constructor for class cc.mallet.pipe.PrintInputAndTarget
- PrintInputAndTarget(String) - 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.LabeledLDA
- 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
- printLogLikelihood - Variable in class cc.mallet.topics.WeightedTopicModel
- printLowerK(PrintWriter, int) - Method in class cc.mallet.types.RankedFeatureVector
- printNode(HierarchicalLDA.NCRPNode, int, boolean) - Method in class cc.mallet.topics.HierarchicalLDA
- printNodes() - Method in class cc.mallet.topics.HierarchicalLDA
- printNodes(boolean) - Method in class cc.mallet.topics.HierarchicalLDA
- printOptionValues(Class) - Static method in class cc.mallet.util.CommandOption
- printParameters(String) - Method in class cc.mallet.regression.tui.Regression
- 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
- printSamplingState(File) - Method in class cc.mallet.topics.AbstractTopicReports
- printSamplingState(File) - Method in interface cc.mallet.topics.TopicReports
- printSamplingState(PrintWriter) - Method in class cc.mallet.topics.AbstractTopicReports
- printSamplingState(PrintWriter) - Method in class cc.mallet.topics.JSONTopicReports
- printSamplingState(PrintWriter) - Method in interface cc.mallet.topics.TopicReports
- printState() - Method in class cc.mallet.topics.HierarchicalLDA
-
Writes the current sampling state to the file specified in
stateFile. - printState(File) - Method in class cc.mallet.topics.HierarchicalPAM
- printState(File) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- printState(File) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printState(File) - Method in class cc.mallet.topics.NPTopicModel
- printState(File) - Method in class cc.mallet.topics.PAM4L
- printState(File) - Method in class cc.mallet.topics.ParallelTopicModel
- printState(File) - Method in class cc.mallet.topics.PolylingualTopicModel
- printState(File) - Method in class cc.mallet.topics.SimpleLDA
- printState(File) - Method in class cc.mallet.topics.TopicalNGrams
- printState(File) - Method in class cc.mallet.topics.WeightedTopicModel
- printState(PrintStream) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printState(PrintStream) - Method in class cc.mallet.topics.NPTopicModel
- printState(PrintStream) - Method in class cc.mallet.topics.ParallelTopicModel
- printState(PrintStream) - Method in class cc.mallet.topics.PolylingualTopicModel
- printState(PrintStream) - Method in class cc.mallet.topics.SimpleLDA
- printState(PrintStream) - Method in class cc.mallet.topics.WeightedTopicModel
- printState(PrintWriter) - Method in class cc.mallet.topics.HierarchicalLDA
-
Write a text file describing the current sampling state.
- printState(PrintWriter) - Method in class cc.mallet.topics.HierarchicalPAM
- printState(PrintWriter) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- printState(PrintWriter) - Method in class cc.mallet.topics.PAM4L
- printState(PrintWriter) - Method in class cc.mallet.topics.TopicalNGrams
- printState(ArrayList<LDAHyper.Topication>, File) - Method in class cc.mallet.topics.LDAStream
- printState(ArrayList<LDAHyper.Topication>, PrintStream) - Method in class cc.mallet.topics.LDAStream
- printStateTransitions() - Method in class cc.mallet.topics.MultinomialHMM
- printSummary() - Method in class cc.mallet.regression.LeastSquares
-
Print a summary of the regression, similar to summary(lm(...)) in R
- printSummary(File, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printSummary(File, int) - Method in interface cc.mallet.topics.TopicReports
- printSummary(PrintWriter, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printSummary(PrintWriter, int) - Method in class cc.mallet.topics.JSONTopicReports
- printSummary(PrintWriter, int) - Method in interface cc.mallet.topics.TopicReports
- 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() - Constructor for class cc.mallet.pipe.PrintTokenSequenceFeatures
- PrintTokenSequenceFeatures(String) - Constructor for class cc.mallet.pipe.PrintTokenSequenceFeatures
- printTopicDocuments(File, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printTopicDocuments(File, int) - Method in interface cc.mallet.topics.TopicReports
- printTopicDocuments(PrintWriter) - Method in class cc.mallet.topics.ParallelTopicModel
- printTopicDocuments(PrintWriter, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printTopicDocuments(PrintWriter, int) - Method in class cc.mallet.topics.JSONTopicReports
- printTopicDocuments(PrintWriter, int) - Method in class cc.mallet.topics.ParallelTopicModel
- printTopicDocuments(PrintWriter, int) - Method in interface cc.mallet.topics.TopicReports
- printTopicPhrases(File, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printTopicPhrases(File, int) - Method in interface cc.mallet.topics.TopicReports
- printTopicPhrases(PrintWriter, int) - Method in class cc.mallet.topics.AbstractTopicReports
- printTopicPhrases(PrintWriter, int) - Method in class cc.mallet.topics.JSONTopicReports
- printTopicPhrases(PrintWriter, int) - Method in interface cc.mallet.topics.TopicReports
- printTopicWordWeights(File) - Method in class cc.mallet.topics.AbstractTopicReports
- printTopicWordWeights(File) - Method in class cc.mallet.topics.ParallelTopicModel
- printTopicWordWeights(File) - Method in interface cc.mallet.topics.TopicReports
- printTopicWordWeights(PrintWriter) - Method in class cc.mallet.topics.AbstractTopicReports
- printTopicWordWeights(PrintWriter) - Method in class cc.mallet.topics.JSONTopicReports
- printTopicWordWeights(PrintWriter) - Method in class cc.mallet.topics.ParallelTopicModel
-
Print an unnormalized weight for every word in every topic.
- printTopicWordWeights(PrintWriter) - Method in interface cc.mallet.topics.TopicReports
- printTopK(PrintWriter, int) - Method in class cc.mallet.types.RankedFeatureVector
- printTopWords(int, boolean) - Method in class cc.mallet.topics.HierarchicalPAM
- printTopWords(int, boolean) - Method in class cc.mallet.topics.LDA
-
Deprecated.
- printTopWords(int, boolean) - Method in class cc.mallet.topics.PAM4L
- printTopWords(int, boolean) - Method in class cc.mallet.topics.TopicalNGrams
- printTopWords(File, int, boolean) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printTopWords(File, 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.DMRTopicModel
- printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.ParallelTopicModel
- printTopWords(PrintStream, int, boolean) - Method in class cc.mallet.topics.PolylingualTopicModel
- printTypeTopicCounts(File) - Method in class cc.mallet.topics.AbstractTopicReports
- 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.
- printTypeTopicCounts(File) - Method in interface cc.mallet.topics.TopicReports
- printTypeTopicCounts(PrintWriter) - Method in class cc.mallet.topics.AbstractTopicReports
- printTypeTopicCounts(PrintWriter) - Method in class cc.mallet.topics.JSONTopicReports
- printTypeTopicCounts(PrintWriter) - Method in interface cc.mallet.topics.TopicReports
- 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
- printWordCounts() - Method in class cc.mallet.topics.PAM4L
- printWordProbabilities - Variable in class cc.mallet.topics.MarginalProbEstimator
- 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
- process(Class, String[]) - Static method in class cc.mallet.util.CommandOption
- 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.
- 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(ObjectDoubleHashMap<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.NumericIterator - Class in cc.mallet.util
- PropertyList.ObjectIterator - Class in cc.mallet.util
- 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
cutofftimes in the corpus, as indicated by the provided counts. - prune(Alphabet) - Method in class cc.mallet.types.FeatureSequence
-
Remove features from the sequence that occur fewer than
cutofftimes in the corpus, as indicated by the provided counts. - 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(int, int) - Method in class cc.mallet.types.FeatureCounter
- put(Object, int) - Method in class cc.mallet.types.FeatureCounter
- pValues() - Method in class cc.mallet.regression.LeastSquares
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
- QR - Class in cc.mallet.util
- QR(double[][]) - Constructor for class cc.mallet.util.QR
-
Factorize the input matrix into an orthonormal matrix Q and an upper-triangular matrix R.
- qt(double, double, boolean) - Static method in class cc.mallet.util.StatFunctions
- quant(double) - Method in class cc.mallet.util.Univariate
- 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.LabeledLDA
- 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.WeightedTopicModel
- random - Variable in class cc.mallet.topics.WordEmbeddingCallable
- random - Variable in class cc.mallet.topics.WorkerCallable
- random - Variable in class cc.mallet.topics.WorkerRunnable
- RANDOM_ORDERING - Static variable in class cc.mallet.topics.WordEmbeddings
- RandomAssignmentTrainer - Class in cc.mallet.classify
-
A Classifier Trainer to be used with RandomClassifier.
- RandomAssignmentTrainer() - Constructor for class cc.mallet.classify.RandomAssignmentTrainer
- RandomClassifier - Class in cc.mallet.classify
-
A Classifier that will return a randomly selected class label.
- RandomClassifier(Pipe) - Constructor for class cc.mallet.classify.RandomClassifier
- 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, int, int) - Constructor for class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
- RandomFeatureVectorIterator(Randoms, Alphabet, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
- RandomFeatureVectorIterator(Randoms, Dirichlet, double, double, double, double, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomFeatureVectorIterator
- randomIndex(Randoms) - Method in class cc.mallet.types.Multinomial
- randomMultinomial(Randoms) - Method in class cc.mallet.types.Dirichlet
- randomObject(Randoms) - Method in class cc.mallet.types.Multinomial
- randomRawMultinomial(Randoms) - Method in class cc.mallet.types.Dirichlet
- Randoms - Class in cc.mallet.util
- Randoms() - Constructor for class cc.mallet.util.Randoms
- Randoms(int) - 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, int, int) - Constructor for class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
- RandomTokenSequenceIterator(Randoms, Alphabet, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
- RandomTokenSequenceIterator(Randoms, Dirichlet, double, double, double, double, String[]) - Constructor for class cc.mallet.pipe.iterator.RandomTokenSequenceIterator
- randomVector(int, Random) - Static method in class cc.mallet.types.MatrixOps
- randomVector(Randoms) - Method in class cc.mallet.types.Dirichlet
- RankedFeatureVector - Class in cc.mallet.types
- RankedFeatureVector(Alphabet, double[]) - Constructor for class cc.mallet.types.RankedFeatureVector
- RankedFeatureVector(Alphabet, double[], int, int) - Constructor for class cc.mallet.types.RankedFeatureVector
- RankedFeatureVector(Alphabet, int[], double[]) - Constructor for class cc.mallet.types.RankedFeatureVector
- RankedFeatureVector(Alphabet, AugmentableFeatureVector) - Constructor for class cc.mallet.types.RankedFeatureVector
- RankedFeatureVector(Alphabet, DenseVector) - 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
Classifierthat scores an array ofNeighbors. - 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 thisInstanceListby confidence estimate. - RankMaxEnt - Class in cc.mallet.classify
-
Rank Maximum Entropy classifier.
- RankMaxEnt(Pipe, double[]) - 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[], FeatureSelection, FeatureSelection[]) - Constructor for class cc.mallet.classify.RankMaxEnt
- RankMaxEntTrainer - Class in cc.mallet.classify
-
The trainer for a
RankMaxEntclassifier. - 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 thisInstanceListby confidence estimate. - rankSegmentsByConfidence(Instance, Object[], Object[]) - Method in class cc.mallet.fst.confidence.TransducerConfidenceEstimator
-
ranks the segments in one
Instance - read(File) - Static method in class cc.mallet.topics.DMRInferencer
- read(File) - Static method in class cc.mallet.topics.DMRTopicModel
- read(File) - Static method in class cc.mallet.topics.HierarchicalLDA
- read(File) - Static method in class cc.mallet.topics.LabeledLDA
- 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.
- readGzippedObject(File) - Static method in class cc.mallet.util.FileUtils
-
Reads a serialized object from a file that has been compressed using gzip.
- 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.
- readTypeTypeWeights(File) - Method in class cc.mallet.topics.WeightedTopicModel
- readUnzippedObject(File) - Static method in class cc.mallet.util.FileUtils
-
Reads a serialized object from a file.
- Record - Class in cc.mallet.cluster
- Record - Class in cc.mallet.extract
-
Created: Oct 12, 2004
- Record(Alphabet, Alphabet) - Constructor for class cc.mallet.cluster.Record
- Record(Alphabet, Alphabet, String[][]) - Constructor for class cc.mallet.cluster.Record
- 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(String) - 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(Pattern, Pattern) - 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
- Regression - Class in cc.mallet.regression.tui
- Regression(InstanceList, double) - Constructor for class cc.mallet.regression.tui.Regression
- RegressionImporter - Class in cc.mallet.regression.tui
-
Load data suitable for linear and Poisson regression
- RegressionImporter() - Constructor for class cc.mallet.regression.tui.RegressionImporter
- regularizedGammaP(double, double) - Static method in class cc.mallet.util.Maths
-
Regularized Gamma function, used for Gamma CDF.
- remaining() - Method in class cc.mallet.pipe.StringIterator
- remove() - Method in class cc.mallet.cluster.iterator.NeighborIterator
- remove() - Method in class cc.mallet.fst.Transducer.TransitionIterator
- 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.DBInstanceIterator
- 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() - Method in class cc.mallet.types.FeatureVectorSequence.Iterator
- remove() - Method in class cc.mallet.types.InstanceList.CrossValidationIterator
- remove() - Method in class cc.mallet.types.LabelSequence.Iterator
- 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() - 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(int) - Method in class cc.mallet.types.FeatureSelection
- remove(int) - Method in class cc.mallet.types.InstanceList
- remove(int) - Method in class cc.mallet.types.MultiInstanceList
- remove(Instance) - Method in class cc.mallet.types.InstanceList
- remove(Instance) - Method in class cc.mallet.types.MultiInstanceList
- remove(Object) - Method in class cc.mallet.types.FeatureSelection
- remove(Object) - Method in class cc.mallet.types.MultiInstanceList
- remove(String, PropertyList) - Static method in class cc.mallet.util.PropertyList
- REMOVE_PUNCT - Static variable in class cc.mallet.extract.RegexFieldCleaner
- removeDiacriticalMarks(String) - Static method in class cc.mallet.pipe.StringIterator
-
A string normalizer which performs the following steps: Unicode canonical decomposition (
Normalizer.Form.NFD) Removal of diacritical marks Unicode canonical composition (Normalizer.Form.NFC) - 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
nullin all instances. - removeStopWords(File) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
-
Remove whitespace-separated tokens in file "wordlist" to the stoplist.
- removeStopWords(String[]) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
- removeTargets() - Method in class cc.mallet.types.InstanceList
-
Sets the "target" field to
nullin all instances. - Replacement - Class in cc.mallet.util
- Replacement(String) - Constructor for class cc.mallet.util.Replacement
-
if the input string contains two sections separated by a tab, the target is the second field, with all whitespace replaced by underscores.
- Replacement(String, String) - Constructor for class cc.mallet.util.Replacement
-
A version that specifies a target, which may be an empty string
- ReplacementSet() - Constructor for class cc.mallet.pipe.NGramPreprocessor.ReplacementSet
- replacementSets - Variable in class cc.mallet.pipe.NGramPreprocessor
- Replacer - Class in cc.mallet.util
-
This class replaces ngrams as specified in the configuration files.
- Replacer() - Constructor for class cc.mallet.util.Replacer
- report(String) - Method in class cc.mallet.util.Timing
-
Like tick(), but doesn't reset the counter.
- 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.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
- reset(String) - Method in class cc.mallet.pipe.StringIterator
-
Sets the current document and resets the current position to the start of it.
- resetBeta(double, double) - Method in class cc.mallet.topics.WorkerCallable
- resetBeta(double, double) - Method in class cc.mallet.topics.WorkerRunnable
- ROCData - Class in cc.mallet.types
-
Tracks ROC data for instances in
Trialresults. - 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(double[], int, int, Vector, double, int, FeatureSelection) - Static method in class cc.mallet.types.MatrixOps
- rowDotProduct(double[], int, int, Vector, int, FeatureSelection) - Static method in class cc.mallet.types.MatrixOps
- rowPlusEquals(double[], int, int, Vector, double) - Static method in class cc.mallet.types.MatrixOps
- rowSetAll(double[], int, int, double, FeatureSelection, boolean) - Static method in class cc.mallet.types.MatrixOps
-
If "ifSelected" is false, it reverses the selection.
- RTopicModel - Class in cc.mallet.topics
-
A wrapper for a topic model to be used from the R statistical package through rJava.
- RTopicModel(double, double, double) - Constructor for class cc.mallet.topics.RTopicModel
- 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
- RunCRFPipe - Class in cc.mallet.examples
- RunCRFPipe(String) - Constructor for class cc.mallet.examples.RunCRFPipe
- runEvaluators() - Method in class cc.mallet.fst.TransducerTrainer
-
This method should be called by subclasses whenever evaluators should be run.
S
- safeDistance(double, double) - Static method in class cc.mallet.util.SVD
- 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
- sample(int, boolean, int) - Method in class cc.mallet.topics.WeightedTopicModel
- sampleFromArray(int[], Randoms, int) - Method in class cc.mallet.cluster.iterator.ClusterSampleIterator
-
Samples a subset of elements from this array.
- samplePath(int, int) - Method in class cc.mallet.topics.HierarchicalLDA
- 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(PolylingualTopicModel.TopicAssignment, boolean) - Method in class cc.mallet.topics.PolylingualTopicModel
- sampleTopicsForOneDoc(FeatureSequence, FeatureSequence) - Method in class cc.mallet.topics.NPTopicModel
- sampleTopicsForOneDoc(FeatureSequence, FeatureSequence) - Method in class cc.mallet.topics.SimpleLDA
- sampleTopicsForOneDoc(FeatureSequence, FeatureSequence, boolean) - Method in class cc.mallet.topics.WorkerCallable
- sampleTopicsForOneDoc(FeatureSequence, FeatureSequence, boolean) - Method in class cc.mallet.topics.WorkerRunnable
- sampleTopicsForOneDoc(FeatureSequence, FeatureSequence, boolean, boolean) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- sampleTopicsForOneDoc(FeatureSequence, FeatureSequence, boolean, boolean) - Method in class cc.mallet.topics.WeightedTopicModel
- sampleTopicsForOneDoc(FeatureSequence, FeatureVector, FeatureSequence) - Method in class cc.mallet.topics.LabeledLDA
- 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
InstanceListof the same size, where the instances come from the random sampling (with replacement) of this list using the given weights. - satisfiedBy(FeatureVector) - Method in class cc.mallet.types.FeatureConjunction
- save(File) - Method in class cc.mallet.types.InstanceList
-
Saves this
InstanceListtofile. - saveAlphabets(Alphabet, Alphabet) - Method in class cc.mallet.util.DBInstanceStore
- saveAndLoad() - Method in class cc.mallet.types.tests.TestMatrixOps
- 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
- saveInstances(Iterator<Instance>) - Method in class cc.mallet.util.DBInstanceStore
- saveModelInterval - Variable in class cc.mallet.topics.ParallelTopicModel
- saveModelInterval - Variable in class cc.mallet.topics.PolylingualTopicModel
- saveParametersInterval - Variable in class cc.mallet.topics.DMRTopicModel
- 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
- savetxt(double[][], File) - Static method in class cc.mallet.types.MatrixOps
- 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.
- 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.
- Segment - Class in cc.mallet.fst
-
Represents a labelled chunk of a
Sequencesegmented by aTransducer, usually corresponding to some object extracted from an inputSequence. - 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
- SegmentIterator(Transducer, InstanceList, Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
-
NOTE!: Assumes that
segmentStartTags[i]corresponds tosegmentContinueTags[i]. - SegmentIterator(Transducer, Instance, Object[], Object[]) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
- SegmentIterator(InstanceList, Object[], Object[], ArrayList) - Constructor for class cc.mallet.pipe.iterator.SegmentIterator
-
Useful when no
Transduceis 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 inallowedTagsare converted toLabels. - SelectiveSGML2TokenSequence(CharSequenceLexer, String, Set) - Constructor for class cc.mallet.pipe.SelectiveSGML2TokenSequence
- SelectiveSGML2TokenSequence(CharSequenceLexer, 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
- 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
- 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
- Sequence<E> - Interface in cc.mallet.types
- SequenceConfidenceInstance - Class in cc.mallet.fst.confidence
-
Stores a
Sequenceand 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() - Constructor for class cc.mallet.types.SequencePair
- SequencePair(Sequence<I>, Sequence<O>) - Constructor for class cc.mallet.types.SequencePair
- SequencePairAlignment<I,O> - Class in cc.mallet.types
- SequencePairAlignment() - Constructor for class cc.mallet.types.SequencePairAlignment
- SequencePairAlignment(Sequence<I>, Sequence<O>, double) - 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
- set(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
- set(double, boolean) - Method in class cc.mallet.types.LogNumber
- set(int, double) - Method in class cc.mallet.types.IDSorter
-
Reinitialize an IDSorter
- set(int, double) - Method in class cc.mallet.types.RankedFeatureVector
- set(int, double) - Method in class cc.mallet.util.DoubleList
- set(int, int, double) - Method in class cc.mallet.cluster.util.PairwiseMatrix
- set(int, Clustering) - Method in class cc.mallet.cluster.Clusterings
- set(int, Instance) - Method in class cc.mallet.types.InstanceList
- set(int, Instance) - Method in class cc.mallet.types.MultiInstanceList
- set(int, Instance) - Method in class cc.mallet.types.PagedInstanceList
-
Replaces the
Instanceat positionindexwith a new one. - set(int, Label) - Method in class cc.mallet.types.Labels
- set(ConstantMatrix) - Method in class cc.mallet.types.DenseMatrix
- set(ConstantMatrix) - Method in interface cc.mallet.types.Matrix
- set(ConstantMatrix) - Method in class cc.mallet.types.SparseMatrixn
- Set(Class, String, String, boolean, String[], int, String, String) - Constructor for class cc.mallet.util.CommandOption.Set
- 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.SparseMatrixn
- setAll(double) - Method in class cc.mallet.types.SparseVector
-
Sets every present index in the vector to v.
- setAll(double[][][], double) - Static method in class cc.mallet.types.MatrixOps
- setAll(double[][], double) - Static method in class cc.mallet.types.MatrixOps
- setAll(double[], double) - Static method in class cc.mallet.types.MatrixOps
-
Sets every element of a double array to a given value.
- setAlpha(double) - Method in class cc.mallet.topics.HierarchicalLDA
- setAlphabet(Alphabet) - Method in class cc.mallet.types.Multinomial.Estimator
- setAlphaOptimization(double, double) - Method in class cc.mallet.topics.RTopicModel
- setAsStartState(CRF.State) - Method in class cc.mallet.fst.CRF
- setBeamWidth(int) - Method in class cc.mallet.fst.SumLatticeBeam
- setBounds(int, int, int, int) - Method in class cc.mallet.classify.evaluate.Graph
-
Set bounds of canvas
- 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
- setCaseSensitive(boolean) - Method in class cc.mallet.pipe.TokenSequenceRemoveStopwords
- setCharSequence(CharSequence) - Method in class cc.mallet.util.CharSequenceLexer
- 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
- setContent(Element) - Method in class cc.mallet.extract.Element
- 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.
- setCurIter(int) - Method in class cc.mallet.fst.SumLatticeBeam
- setData(Object) - Method in class cc.mallet.types.Instance
- setDataAlphabet(Alphabet) - Method in class cc.mallet.pipe.Pipe
- setDefaultFeatureIndex(int) - Method in class cc.mallet.classify.MaxEnt
- setDefaultWeight(int, double) - Method in class cc.mallet.fst.CRF
- setDefaultWeights(double[]) - Method in class cc.mallet.fst.CRF
- setDepthLimited(boolean) - Method in class cc.mallet.classify.C45Trainer
- 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
- 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(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
- 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(int, FeatureSelection) - Method in class cc.mallet.fst.CRF
- setFeatureSelection(FeatureSelection) - Method in class cc.mallet.classify.MaxEnt
- setFeatureSelection(FeatureSelection) - Method in class cc.mallet.types.InstanceList
- 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
- 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
- setGEWeight(double) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
- 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
- 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
Instanceat positionindexwith a new one. - setInstance(int, Instance) - Method in class cc.mallet.types.MultiInstanceList
- setInstanceId(UUID) - 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.
- setLabeling(Labeling) - Method in class cc.mallet.types.Instance
- 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.
- 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
- setMaxIterations(int) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
-
Specifies the maximum number of iterations to run during a single call to
trainortrainWithFeatureInduction. - setMaxIterations(int) - Method in class cc.mallet.classify.MaxEntGETrainer
-
Specifies the maximum number of iterations to run during a single call to
trainortrainWithFeatureInduction. - 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
- setMinDocumentLength(int) - Method in class cc.mallet.topics.WordEmbeddings
- 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
- 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.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
trainortrainWithFeatureInduction. - setNumIterations(int) - Method in class cc.mallet.classify.MCMaxEntTrainer
-
Specifies the maximum number of iterations to run during a single call to
trainortrainWithFeatureInduction. - setNumIterations(int) - Method in class cc.mallet.topics.LabeledLDA
- 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
- setNumIterations(int) - Method in class cc.mallet.topics.WordEmbeddings
- 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
- setNumTopics(int) - Method in class cc.mallet.topics.ParallelTopicModel
-
Set or reset the number of topics.
- 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
- setOrdering(int) - Method in class cc.mallet.topics.WordEmbeddingCallable
- 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, double) - Method in class cc.mallet.classify.PRAuxClassifierOptimizable
- setParameter(int, double) - Method in class cc.mallet.fst.CRF.Factors
- 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 interface cc.mallet.optimize.Optimizable
- setParameter(int, double) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
- setParameter(int, double) - Method in class cc.mallet.regression.LinearRegressionTrainer
- setParameter(int, double) - Method in class cc.mallet.topics.DMROptimizable
- setParameter(int, int, double) - Method in class cc.mallet.classify.MaxEnt
- setParameter(int, int, double) - Method in class cc.mallet.classify.MCMaxEnt
- 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
- 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 interface cc.mallet.optimize.Optimizable
- setParameters(double[]) - Method in class cc.mallet.optimize.OptimizableCollection.ByGradientValue
- setParameters(double[]) - Method in class cc.mallet.regression.LinearRegressionTrainer
- setParameters(double[]) - Method in class cc.mallet.topics.DMROptimizable
- 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
- 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.
- 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
- setPrintWords(boolean) - Method in class cc.mallet.topics.MarginalProbEstimator
- 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
- setQueryWord(String) - Method in class cc.mallet.topics.WordEmbeddings
- setRandom(Randoms) - Method in class cc.mallet.topics.MarginalProbEstimator
- setRandomSeed(int) - Method in class cc.mallet.topics.LabeledLDA
- setRandomSeed(int) - Method in class cc.mallet.topics.LDAHyper
-
Deprecated.
- setRandomSeed(int) - Method in class cc.mallet.topics.MarginalProbEstimator
- 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
- setRandomSeed(int) - Method in class cc.mallet.topics.WeightedTopicModel
- setRandomSeed(int) - Method in class cc.mallet.topics.WordEmbeddingCallable
- setRankOrder() - Method in class cc.mallet.types.RankedFeatureVector
-
Add rank annotations for the entire feature vector.
- setRankOrder(int) - Method in class cc.mallet.types.RankedFeatureVector
- setRankOrder(int, boolean) - Method in class cc.mallet.types.PartiallyRankedFeatureVector
- setRankOrder(int, boolean) - Method in class cc.mallet.types.RankedFeatureVector
- 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.
- setReverseRankOrder(int, boolean) - Method in class cc.mallet.types.RankedFeatureVector
- setRmin(double) - Method in class cc.mallet.fst.SumLatticeBeam
- 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
- 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
- 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
- setSumLatticeFactory(SumLatticeFactory) - Method in class cc.mallet.fst.Transducer
- setSummary(Class, String) - Static method in class cc.mallet.util.CommandOption
- setSummary(String) - Method in class cc.mallet.util.CommandOption.List
- setSupervisedIterations(int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
- 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
- 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
- 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.
- 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.LabeledLDA
- 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
- setTopicDisplay(int, int) - Method in class cc.mallet.topics.WeightedTopicModel
- 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
- 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.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.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
- 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
- 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(int[], double) - Method in class cc.mallet.types.DenseMatrix
- setValue(int[], double) - Method in class cc.mallet.types.DenseVector
- setValue(int[], double) - Method in interface cc.mallet.types.Matrix
- 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.AugmentableFeatureVector
- 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 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.
- setWeight(double) - Method in class cc.mallet.classify.MaxEntOptimizableByGE
-
The weight of GE term in the objective function.
- setWeights() - Method in class cc.mallet.types.tests.TestInstanceListWeights
- setWeights(int, SparseVector) - Method in class cc.mallet.fst.CRF
- setWeights(SparseVector[]) - Method in class cc.mallet.fst.CRF
- setWeights(String, SparseVector) - Method in class cc.mallet.fst.CRF
- 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
- 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() - Constructor for class cc.mallet.pipe.SGML2TokenSequence
- SGML2TokenSequence(CharSequenceLexer, String) - Constructor for class cc.mallet.pipe.SGML2TokenSequence
- SGML2TokenSequence(CharSequenceLexer, String, boolean) - Constructor for class cc.mallet.pipe.SGML2TokenSequence
- SGML2TokenSequence(String, String) - 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
- shouldRun - Variable in class cc.mallet.topics.WordEmbeddingCallable
- showTopicsInterval - Variable in class cc.mallet.topics.LabeledLDA
- 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
- showTopicsInterval - Variable in class cc.mallet.topics.WeightedTopicModel
- shuffle(Random) - Method in class cc.mallet.types.InstanceList
- shuffle(Random) - Method in class cc.mallet.types.MultiInstanceList
- SHUFFLED_ORDERING - Static variable in class cc.mallet.topics.WordEmbeddings
- 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.
- 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
- significanceStars(double) - Method in class cc.mallet.regression.LeastSquares
- SimpleFileLineIterator - Class in cc.mallet.pipe.iterator
- SimpleFileLineIterator(File) - Constructor for class cc.mallet.pipe.iterator.SimpleFileLineIterator
- SimpleFileLineIterator(String) - Constructor for class cc.mallet.pipe.iterator.SimpleFileLineIterator
- 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. - SimpleTaggerSentence2FeatureVectorSequence() - Constructor for class cc.mallet.fst.SimpleTagger.SimpleTaggerSentence2FeatureVectorSequence
-
Creates a new
SimpleTaggerSentence2FeatureVectorSequenceinstance. - SimpleTaggerSentence2StringTokenization - Class in cc.mallet.pipe
-
This extends
SimpleTaggerSentence2TokenSequenceto use {Slink StringTokenizations} for use with the extract package. - SimpleTaggerSentence2StringTokenization() - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2StringTokenization
-
Creates a new
SimpleTaggerSentence2StringTokenizationinstance. - SimpleTaggerSentence2StringTokenization(boolean) - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2StringTokenization
-
creates a new
SimpleTaggerSentence2StringTokenizationinstance 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
SimpleTaggerSentence2TokenSequenceinstance. - SimpleTaggerSentence2TokenSequence(boolean) - Constructor for class cc.mallet.pipe.SimpleTaggerSentence2TokenSequence
-
creates a new
SimpleTaggerSentence2TokenSequenceinstance 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 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.Matrixn
- singleIndex(int[]) - Method in class cc.mallet.types.SparseMatrixn
- singleIndex(int[]) - Method in class cc.mallet.types.SparseVector
- singleIndex(int[], int[]) - Static method in class cc.mallet.types.Matrixn
- singleIndex(int[], int[]) - Static method in class cc.mallet.types.SparseMatrixn
- 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.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.Matrixn
- singleToIndices(int, int[]) - Method in class cc.mallet.types.SparseMatrixn
- singleToIndices(int, int[]) - Method in class cc.mallet.types.SparseVector
- singleToIndices(int, int[], int[]) - Static method in class cc.mallet.types.Matrixn
-
Just a utility function for arbitrary-dimensional matrix dereferencing.
- 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.SparseMatrixn
- singleValue(int) - Method in class cc.mallet.types.SparseVector
- size() - Method in class cc.mallet.classify.evaluate.Graph.Legend
- 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.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
- size(int) - Method in class cc.mallet.cluster.Clustering
- 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
- 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.TopicInferencer
- smoothingOnlyMass - Variable in class cc.mallet.topics.WorkerCallable
- 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
- sort() - Method in class cc.mallet.util.Univariate
- sortClassifications() - Method in class cc.mallet.classify.evaluate.AccuracyCoverage
-
Sort classifications ArrayList by winner's value
- 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.
- sourceWordPattern - Static variable in class cc.mallet.topics.WeightedTopicModel
- SPACE - Static variable in class cc.mallet.pipe.StringIterator
- SpacedStrings(Class, String, String, boolean, String[], String, String) - Constructor for class cc.mallet.util.CommandOption.SpacedStrings
- 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.
- SparseVector - Class in cc.mallet.types
-
A vector that allocates memory only for non-zero values.
- SparseVector() - Constructor for class cc.mallet.types.SparseVector
-
An empty vector, with all zero values
- SparseVector(double[]) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(double[], boolean) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(int[]) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(int[], boolean) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(int[], boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(int[], boolean, 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[], double[], boolean, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
- 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(int[], int, int, boolean, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(int, double) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(Alphabet, PropertyList, boolean) - Constructor for class cc.mallet.types.SparseVector
- SparseVector(Alphabet, PropertyList, boolean, boolean) - Constructor for class cc.mallet.types.SparseVector
- split() - Method in class cc.mallet.classify.C45.Node
- split(double[]) - Method in class cc.mallet.types.InstanceList
- split(double[]) - Method in class cc.mallet.types.MultiInstanceList
- 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(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(double[]) - Method in class cc.mallet.types.MultiInstanceList
- splitInOrder(int[]) - Method in class cc.mallet.types.InstanceList
- 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
- 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.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
- State() - Constructor for class cc.mallet.fst.CRF.State
- State() - Constructor for class cc.mallet.fst.HMM.State
- State() - Constructor for class cc.mallet.fst.Transducer.State
- State(String, int, double, double, int[], int[], double[], String[], FeatureTransducer) - Constructor for class cc.mallet.fst.FeatureTransducer.State
- State(String, int, double, double, String[], String[], HMM) - Constructor for class cc.mallet.fst.HMM.State
- State(String, int, double, double, String[], String[], String[][], CRF) - Constructor for class cc.mallet.fst.CRF.State
- State(String, int, double, double, String[], String[], String[][], CRF) - Constructor for class cc.mallet.fst.MEMM.State
- 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
- StateToInstances - Class in cc.mallet.util
-
Sometimes you have a topic sampling state, but not the original instance list file.
- StateToInstances() - Constructor for class cc.mallet.util.StateToInstances
- 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 using 1/n, not the unbiased 1/(n-1).
- 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
- stddev(InstanceList, SparseVector, boolean) - Static method in class cc.mallet.util.VectorStats
-
Square root of variance.
- 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.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.
- stopwordsDutch - Static variable in class cc.mallet.pipe.TokenSequenceRemoveStopwords
- StratifiedCrossValidationIterator(int) - Constructor for class cc.mallet.types.InstanceList.StratifiedCrossValidationIterator
- StratifiedCrossValidationIterator(int, int) - Constructor for class cc.mallet.types.InstanceList.StratifiedCrossValidationIterator
- stratifiedSplit(Random, double[]) - Method in class cc.mallet.types.InstanceList
-
Shuffles the elements of this list among several smaller lists, each sublist having a number of elements proportional to the amount given in the array.
- stratifiedSplitInOrder(double[]) - Method in class cc.mallet.types.InstanceList
-
Chops this list into several sequential sublists, where each sublist contains an (approximately) equal proportion of each target label.
- string() - Method in class cc.mallet.pipe.StringIterator
- String(Class, String, String, boolean, String, String, String) - Constructor for class cc.mallet.util.CommandOption.String
- STRING - Static variable in class cc.mallet.pipe.iterator.DBInstanceIterator
- STRING - Static variable in class cc.mallet.util.DBInstanceStore
- 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, char, HashMap) - Constructor for class cc.mallet.types.StringEditFeatureVectorSequence
- StringEditFeatureVectorSequence(FeatureVector[], String, String, HashMap) - Constructor for class cc.mallet.types.StringEditFeatureVectorSequence
- StringEditVector - Class in cc.mallet.types
- StringEditVector() - Constructor for class cc.mallet.types.StringEditVector
- StringEditVector(String) - Constructor for class cc.mallet.types.StringEditVector
- StringIterator - Class in cc.mallet.pipe
-
Java implementation of Jonathan Wood's "Text Parsing Helper Class".
- StringIterator(String) - Constructor for class cc.mallet.pipe.StringIterator
- StringKernel - Class in cc.mallet.types
-
Computes a similarity metric between two strings, based on counts of common subsequences of characters.
- StringKernel() - Constructor for class cc.mallet.types.StringKernel
- StringKernel(boolean, double, int) - Constructor for class cc.mallet.types.StringKernel
- StringKernel(boolean, double, int, boolean) - Constructor for class cc.mallet.types.StringKernel
- StringList2FeatureSequence - Class in cc.mallet.pipe
-
Convert a list of strings into a feature sequence
- StringList2FeatureSequence() - Constructor for class cc.mallet.pipe.StringList2FeatureSequence
- StringList2FeatureSequence(Alphabet) - 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
- 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.InstanceList
- subList(int, int) - Method in class cc.mallet.types.MultiInstanceList
- 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, double) - Static method in class cc.mallet.types.MatrixOps
- substitute(double, double) - Method in class cc.mallet.types.DenseMatrix
- subtract(double[], int) - Method in class cc.mallet.topics.WordEmbeddings
- subtract(double[], String) - Method in class cc.mallet.topics.WordEmbeddings
- 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.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.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.TestSGML2TokenSequence
- 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.TestBiNormalSeparation
- 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(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
- 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
- SumLatticeBeam.Factory - Class in cc.mallet.fst
- 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
- 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, boolean) - Constructor for class cc.mallet.fst.SumLatticeDefault
- SumLatticeDefault(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeDefault
- SumLatticeDefault(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeDefault
- SumLatticeDefault.Factory - Class in cc.mallet.fst
- 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, boolean) - Constructor for class cc.mallet.fst.SumLatticeScaling
- SumLatticeScaling(Transducer, Sequence, Sequence, Transducer.Incrementor, boolean, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeScaling
- SumLatticeScaling(Transducer, Sequence, Sequence, Transducer.Incrementor, LabelAlphabet) - Constructor for class cc.mallet.fst.SumLatticeScaling
- SumLatticeScaling.Factory - Class in cc.mallet.fst
- SumLatticeScaling.LatticeNode - Class in cc.mallet.fst
- sumLogProb(double[]) - Static method in class cc.mallet.util.Maths
-
Sums an array of numbers log(x1)...log(xn).
- sumLogProb(double, double) - Static method in class cc.mallet.fst.Transducer
-
Returns Math.log(Math.exp(a) + Math.exp(b)).
- sumLogProb(double, double) - Static method in class cc.mallet.util.Maths
-
Returns the sum of two doubles expressed in log space, that is,
- summary() - Method in class cc.mallet.util.Univariate
- sumSquaredDiff(double[][], double[][]) - Static method in class cc.mallet.types.MatrixOps
-
Frobenius norm of the element-wise difference
- SUPER_TOPIC - Static variable in class cc.mallet.topics.HierarchicalPAM
- SVD - Class in cc.mallet.util
- SVD(double[][]) - Constructor for class cc.mallet.util.SVD
- 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
- tag - Variable in class cc.mallet.extract.Element
- 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
- TARGET_PROPERTY - Static variable in class cc.mallet.types.InstanceList
- Target2BIOFormat - Class in cc.mallet.pipe.tsf
- Target2BIOFormat() - Constructor for class cc.mallet.pipe.tsf.Target2BIOFormat
- Target2BIOFormat(String) - Constructor for class cc.mallet.pipe.tsf.Target2BIOFormat
- Target2Double - Class in cc.mallet.pipe
-
Convert object in the target field into a floating-point numeric type
- Target2Double() - Constructor for class cc.mallet.pipe.Target2Double
- 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
- Target2Integer - Class in cc.mallet.pipe
-
Convert object in the target field into an integer numeric type
- Target2Integer() - Constructor for class cc.mallet.pipe.Target2Integer
- Target2Label - Class in cc.mallet.pipe
-
Convert object in the target field into a label in the target field.
- Target2Label() - Constructor for class cc.mallet.pipe.Target2Label
- Target2Label(Alphabet, LabelAlphabet) - 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
- 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
- targetWordPattern - Static variable in class cc.mallet.topics.WeightedTopicModel
- temperAlpha(WorkerCallable[]) - Method in class cc.mallet.topics.ParallelTopicModel
- temperature - Variable in class cc.mallet.classify.MaxEntOptimizableByGE
- temperingInterval - Variable in class cc.mallet.topics.ParallelTopicModel
- test - Variable in class cc.mallet.topics.LDAStream
- 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(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
- testAccentAigu() - Method in class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- testAccentCirconflexe() - Method in class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- testAccentGrave() - Method in class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- testAddOrderNStates() - Method in class cc.mallet.fst.tests.TestCRF
- testAddWithPrefix() - Method in class cc.mallet.types.tests.TestAugmentableFeatureVector
- 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
- TestAStar - Class in cc.mallet.util.tests
-
Created by IntelliJ IDEA.
- TestAStar(String) - Constructor for class cc.mallet.util.tests.TestAStar
- TestAugmentableFeatureVector - Class in cc.mallet.types.tests
-
Created: Dec 30, 2004
- TestAugmentableFeatureVector(String) - Constructor for class cc.mallet.types.tests.TestAugmentableFeatureVector
- 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
- testBiNormalSeparation() - Method in class cc.mallet.types.tests.TestBiNormalSeparation
- TestBiNormalSeparation - Class in cc.mallet.types.tests
- TestBiNormalSeparation(String) - Constructor for class cc.mallet.types.tests.TestBiNormalSeparation
- testCedille() - Method in class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- testChangePriority() - Method in class cc.mallet.util.tests.TestPriorityQueue
- TestCharSequenceNoDiacritics - Class in cc.mallet.pipe.tests
- TestCharSequenceNoDiacritics() - Constructor for class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- TestCharSequenceReplaceHtmlEntities - Class in cc.mallet.pipe.tests
- TestCharSequenceReplaceHtmlEntities() - Constructor for class cc.mallet.pipe.tests.TestCharSequenceReplaceHtmlEntities
- 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
- testClone() - Method in class cc.mallet.types.tests.TestMatrixOps
- 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
- 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
- testCopyStatesAndWeights() - Method in class cc.mallet.fst.tests.TestCRF
- 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
- 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.TestCRFTokenSequenceRemoveSpaces - Class in cc.mallet.fst.tests
- TestCRF2String() - Constructor for class cc.mallet.fst.tests.TestCRF.TestCRF2String
- TestCRFTokenSequenceRemoveSpaces() - Constructor for class cc.mallet.fst.tests.TestCRF.TestCRFTokenSequenceRemoveSpaces
- 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
- TestDocumentExtraction - Class in cc.mallet.extract.test
-
Created: Oct 12, 2004
- TestDocumentExtraction(String) - Constructor for class cc.mallet.extract.test.TestDocumentExtraction
- 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
- testDuplicateValueFromFeatureSequence() - Method in class cc.mallet.types.tests.TestFeatureVector
- testEmptyLocations() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
- testEmptyStringBug() - Method in class cc.mallet.classify.tests.TestNaiveBayes
- testEmptyStringConstructor() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testEqualKeys() - Method in class cc.mallet.util.tests.TestPriorityQueue
- 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
- testExtendedDotProduct() - Method in class cc.mallet.types.tests.TestSparseVector
- testExtract() - Method in class cc.mallet.pipe.tests.TestStringIterator
- 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
- testForwardBackward() - Method in class cc.mallet.fst.tests.TestFeatureTransducer
- testFrobenius() - Method in class cc.mallet.types.tests.TestMatrixOps
- testFrozenWeights() - Method in class cc.mallet.fst.tests.TestCRF
- 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.
- testGradientAscent() - Method in class cc.mallet.optimize.tests.TestOptimizer
- 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.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
- testing - Variable in class cc.mallet.topics.LDAHyper
-
Deprecated.
- TestInstanceList - Class in cc.mallet.types.tests
- TestInstanceList() - Constructor for class cc.mallet.types.tests.TestInstanceList
- 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
- testIsBlank() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testIsCapitalized() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testIsLowerCase() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testIsUpperCase() - Method in class cc.mallet.pipe.tests.TestStringIterator
- TestIterators - Class in cc.mallet.cluster.iterator.tests
- 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.cluster.iterator.tests.TestIterators
- TestIterators(String) - Constructor for class cc.mallet.pipe.tests.TestIterators
- TestLabelAlphabet - Class in cc.mallet.types.tests
-
Created: Nov 24, 2004
- TestLabelAlphabet(String) - Constructor for class cc.mallet.types.tests.TestLabelAlphabet
- 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
- testLinearLBFGS() - Method in class cc.mallet.optimize.tests.TestOptimizer
- testLocation() - Method in class cc.mallet.types.tests.TestIndexedSparseVector
- testLogBinom() - Method in class cc.mallet.util.tests.TestMaths
- 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
- TestMatrixOps - Class in cc.mallet.types.tests
- TestMatrixOps() - Constructor for class cc.mallet.types.tests.TestMatrixOps
- 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
- 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.TestMEMMTokenSequenceRemoveSpaces - Class in cc.mallet.fst.tests
- TestMEMM2String() - Constructor for class cc.mallet.fst.tests.TestMEMM.TestMEMM2String
- TestMEMMTokenSequenceRemoveSpaces() - Constructor for class cc.mallet.fst.tests.TestMEMM.TestMEMMTokenSequenceRemoveSpaces
- testMoveAhead() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMovePast() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMovePastWhitespace() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMoveToChar() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMoveToEndOfLine() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMoveToOneChar() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMoveToString() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testMultinomial() - Method in class cc.mallet.types.tests.TestMultinomial
- TestMultinomial - Class in cc.mallet.types.tests
- TestMultinomial(String) - Constructor for class cc.mallet.types.tests.TestMultinomial
- testMultiTag() - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
- testMultiTagSerialization() - Static method in class cc.mallet.pipe.tsf.tests.TestOffsetFeatureConjunctions
- 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
- testNotFound() - Method in class cc.mallet.types.tests.TestAlphabet
- testNullStringConstructor() - Method in class cc.mallet.pipe.tests.TestStringIterator
- 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
- 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
- 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
- testPeek() - Method in class cc.mallet.pipe.tests.TestStringIterator
- 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
- 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.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
- 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
- testQR() - Method in class cc.mallet.util.tests.TestQR
- TestQR - Class in cc.mallet.util.tests
- TestQR() - Constructor for class cc.mallet.util.tests.TestQR
- TestRandom - Class in cc.mallet.util.tests
-
Created: Jan 19, 2005
- TestRandom(String) - Constructor for class cc.mallet.util.tests.TestRandom
- 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.
- testReplaceAlphaEntities() - Method in class cc.mallet.pipe.tests.TestCharSequenceReplaceHtmlEntities
- testReplaceDigitEntities() - Method in class cc.mallet.pipe.tests.TestCharSequenceReplaceHtmlEntities
- testReverse() - Method in class cc.mallet.util.tests.TestPriorityQueue
- testRussianWords() - Method in class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- 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.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
- testSetGetParameters() - Method in class cc.mallet.classify.tests.TestMaxEntTrainer
- testSetRankOrder() - Method in class cc.mallet.types.tests.TestRankedFeatureVector
- 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
- 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
- testSingleValueFromFeatureSequence() - Method in class cc.mallet.types.tests.TestFeatureVector
- testSizeFromFeatureSequence() - Method in class cc.mallet.types.tests.TestFeatureVector
- testSmall() - Method in class cc.mallet.util.tests.TestAStar
- testSpacePipe() - Method in class cc.mallet.pipe.tests.TestSpacePipe
- TestSpacePipe - Class in cc.mallet.pipe.tests
-
Unit Test for class TestSpacePipe.java Created: Thu Feb 26 14:56:55 2004
- TestSpacePipe() - Constructor for class cc.mallet.pipe.tests.TestSpacePipe
- 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
- TestSparseVector - Class in cc.mallet.types.tests
- TestSparseVector(String) - Constructor for class cc.mallet.types.tests.TestSparseVector
- testSplit() - Method in class cc.mallet.types.tests.TestInstanceList
- 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
- testStep1a() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep1b() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep1c() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep2() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep3() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep4() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep5a() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStep5b() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testStratifiedSplit() - Method in class cc.mallet.types.tests.TestInstanceList
- testStringConstructor() - Method in class cc.mallet.pipe.tests.TestStringIterator
- TestStringIterator - Class in cc.mallet.pipe.tests
- TestStringIterator() - Constructor for class cc.mallet.pipe.tests.TestStringIterator
- 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() - Method in class cc.mallet.types.tests.TestMatrixOps
- testSum(double, double) - Method in class cc.mallet.fst.tests.TestSumNegLogProb2
- 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.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
- testTestSerializable() - Method in class cc.mallet.types.tests.TestSerializable
- testTestValueAndGradient() - Method in class cc.mallet.optimize.tests.TestOptimizable
- testTimesEquals() - Method in class cc.mallet.types.tests.TestMatrix
- 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
- TestTokenSequence2PorterStems - Class in cc.mallet.pipe.tests
- TestTokenSequence2PorterStems() - Constructor for class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- 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
- testTrema() - Method in class cc.mallet.pipe.tests.TestCharSequenceNoDiacritics
- testTrimLeft() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testTrimRight() - Method in class cc.mallet.pipe.tests.TestStringIterator
- testTwo() - Method in class cc.mallet.fst.tests.TestSumNegLogProb2
- testTwo() - Method in class cc.mallet.types.tests.TestToken
- 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
- testVector() - Method in class cc.mallet.pipe.tests.TestTokenSequence2PorterStems
- testXis() - Method in class cc.mallet.fst.tests.TestCRF
- Text - Class in cc.mallet.extract
- Text(String) - Constructor for class cc.mallet.extract.Text
- 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
- 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(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.
- timesEquals(double) - Method in class cc.mallet.types.DenseMatrix
- timesEquals(double) - Method in interface cc.mallet.types.Matrix
- 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.
- timesEquals(double[][], double) - Static method in class cc.mallet.types.MatrixOps
- 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.DenseMatrix
- timesEquals(double[], double[]) - Static method in class cc.mallet.types.MatrixOps
- timesEquals(LogNumber) - Method in class cc.mallet.types.LogNumber
- 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
- toArray() - Method in class cc.mallet.types.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() - 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.
- toArray(Object[]) - Method in class cc.mallet.types.Alphabet
-
Returns an array containing all the entries in the Alphabet.
- toArray(T[]) - Method in class cc.mallet.types.MultiInstanceList
- toArrayList() - Method in class cc.mallet.pipe.iterator.SegmentIterator
- 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) - Method in class cc.mallet.types.TokenSequence
- toFeatureVector(Alphabet, boolean) - Method in interface cc.mallet.types.PropertyHolder
- toFeatureVector(Alphabet, boolean) - Method in class cc.mallet.types.Token
- 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() - Constructor for class cc.mallet.pipe.Token2FeatureVector
- Token2FeatureVector(boolean, boolean) - Constructor for class cc.mallet.pipe.Token2FeatureVector
- Token2FeatureVector(Alphabet) - Constructor for class cc.mallet.pipe.Token2FeatureVector
- Token2FeatureVector(Alphabet, boolean, boolean) - 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
- TokenClassifiers(ClassifierTrainer, InstanceList, int, int) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
- TokenClassifiers(InstanceList) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
-
Train a token classifier using the given Instances with 5-fold cross validation
- TokenClassifiers(InstanceList, int, int) - Constructor for class cc.mallet.pipe.AddClassifierTokenPredictions.TokenClassifiers
- TokenFirstPosition - Class in cc.mallet.pipe.tsf
- TokenFirstPosition() - Constructor for class cc.mallet.pipe.tsf.TokenFirstPosition
- TokenFirstPosition(String) - 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() - 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
- TokenSequence(Collection<Token>) - 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() - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequence
- TokenSequence2FeatureSequence(Alphabet) - 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() - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
- TokenSequence2FeatureSequenceWithBigrams(Alphabet) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureSequenceWithBigrams
- TokenSequence2FeatureSequenceWithBigrams(Alphabet, Alphabet) - 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() - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
- TokenSequence2FeatureVectorSequence(boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
- TokenSequence2FeatureVectorSequence(Alphabet) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
- TokenSequence2FeatureVectorSequence(Alphabet, boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequence2FeatureVectorSequence
- TokenSequence2PorterStems - Class in cc.mallet.pipe
- TokenSequence2PorterStems() - Constructor for class cc.mallet.pipe.TokenSequence2PorterStems
- 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(String, int, int) - Constructor for class cc.mallet.pipe.TokenSequenceMatchDataAndTarget
- TokenSequenceMatchDataAndTarget(Pattern, 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.textto a list of Strings (space delimited). - TokenSequenceParseFeatureString(boolean) - Constructor for class cc.mallet.pipe.TokenSequenceParseFeatureString
- TokenSequenceParseFeatureString(boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequenceParseFeatureString
- TokenSequenceParseFeatureString(boolean, boolean, String) - Constructor for class cc.mallet.pipe.TokenSequenceParseFeatureString
- TokenSequenceRemoveNonAlpha - Class in cc.mallet.pipe
-
Remove tokens that contain non-alphabetic characters.
- TokenSequenceRemoveNonAlpha() - Constructor for class cc.mallet.pipe.TokenSequenceRemoveNonAlpha
- TokenSequenceRemoveNonAlpha(boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveNonAlpha
- TokenSequenceRemoveStopPatterns - Class in cc.mallet.pipe
-
Remove tokens from the token sequence in the data field whose text matches any of a set of regular expressions.
- TokenSequenceRemoveStopPatterns() - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopPatterns
- TokenSequenceRemoveStopPatterns(File) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopPatterns
-
Load a stop patterns from a file.
- TokenSequenceRemoveStopPatterns(String[]) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopPatterns
- TokenSequenceRemoveStopwords - Class in cc.mallet.pipe
-
Remove tokens from the token sequence in the data field whose text is in the stopword list.
- TokenSequenceRemoveStopwords() - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
- TokenSequenceRemoveStopwords(boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
- TokenSequenceRemoveStopwords(boolean, boolean) - 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.
- TokenSequenceRemoveStopwords(InputStream, String, boolean, boolean, boolean) - Constructor for class cc.mallet.pipe.TokenSequenceRemoveStopwords
- tokensPerTopic - Variable in class cc.mallet.topics.LabeledLDA
- 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.WeightedTopicModel
- tokensPerTopic - Variable in class cc.mallet.topics.WorkerCallable
- tokensPerTopic - Variable in class cc.mallet.topics.WorkerRunnable
- TokenText - Class in cc.mallet.pipe.tsf
- TokenText() - Constructor for class cc.mallet.pipe.tsf.TokenText
- TokenText(String) - Constructor for class cc.mallet.pipe.tsf.TokenText
- TokenText(String, Pattern) - Constructor for class cc.mallet.pipe.tsf.TokenText
- TokenTextCharNGrams - Class in cc.mallet.pipe.tsf
- TokenTextCharNGrams() - Constructor for class cc.mallet.pipe.tsf.TokenTextCharNGrams
- TokenTextCharNGrams(String, int[]) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharNGrams
- TokenTextCharNGrams(String, int[], boolean) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharNGrams
- TokenTextCharPrefix - Class in cc.mallet.pipe.tsf
- TokenTextCharPrefix() - Constructor for class cc.mallet.pipe.tsf.TokenTextCharPrefix
- TokenTextCharPrefix(String, int) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharPrefix
- TokenTextCharSuffix - Class in cc.mallet.pipe.tsf
- TokenTextCharSuffix() - Constructor for class cc.mallet.pipe.tsf.TokenTextCharSuffix
- TokenTextCharSuffix(String, int) - Constructor for class cc.mallet.pipe.tsf.TokenTextCharSuffix
- TokenTextNGrams - Class in cc.mallet.pipe.tsf
- TokenTextNGrams() - Constructor for class cc.mallet.pipe.tsf.TokenTextNGrams
- TokenTextNGrams(String, int[]) - Constructor for class cc.mallet.pipe.tsf.TokenTextNGrams
- toLabelVector() - Method in class cc.mallet.types.Label
- toLabelVector() - Method in interface cc.mallet.types.Labeling
- toLabelVector() - Method in class cc.mallet.types.LabelVector
- 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.LabeledLDA
- 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
- topicAlphabet - Variable in class cc.mallet.topics.WeightedTopicModel
- 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.PolylingualTopicModel.TopicAssignment
- TopicAssignment(Instance, LabelSequence) - Constructor for class cc.mallet.topics.TopicAssignment
- Topication(Instance, LDAHyper, LabelSequence) - Constructor for class cc.mallet.topics.LDAHyper.Topication
-
Deprecated.
- 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.WorkerCallable
- 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.WorkerCallable
- topicDocCounts - Variable in class cc.mallet.topics.WorkerRunnable
- TopicInferencer - Class in cc.mallet.topics
- TopicInferencer() - Constructor for class cc.mallet.topics.TopicInferencer
- 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.WorkerCallable
- 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
- topicPhraseXMLReport(PrintWriter, int) - Method in class cc.mallet.topics.ParallelTopicModel
- TopicReports - Interface in cc.mallet.topics
- TopicScores(String, int, int) - Constructor for class cc.mallet.topics.TopicModelDiagnostics.TopicScores
- 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.LabeledLDA
- topWords(int) - Method in class cc.mallet.topics.NPTopicModel
- topWords(int) - Method in class cc.mallet.topics.SimpleLDA
- topWords(int) - Method in class cc.mallet.topics.WeightedTopicModel
- toRankedFeatureVector() - Method in class cc.mallet.types.FeatureCounter
- toSimpFile(String, int, boolean) - Method in class cc.mallet.types.FeatureVector
- 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() - Method in class cc.mallet.cluster.util.PairwiseMatrix
- toString() - Method in class cc.mallet.extract.Element
- 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.extract.Text
- 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.pipe.SelectiveSGML2TokenSequence
- toString() - Method in class cc.mallet.pipe.SerialPipes
- toString() - Method in class cc.mallet.regression.CoordinateDescent
- 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() - 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.MultiInstanceList
- toString() - Method in class cc.mallet.types.ROCData
- toString() - 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() - Method in class cc.mallet.util.search.SearchNode
- toString(boolean) - Method in class cc.mallet.cluster.Record
- toString(boolean) - Method in class cc.mallet.types.FeatureVector
- toString(boolean) - Method in class cc.mallet.types.SparseVector
- toString(double[]) - Static method in class cc.mallet.util.ArrayUtils
- toString(int[]) - Static method in class cc.mallet.util.ArrayUtils
- toString(Object) - Static method in class cc.mallet.types.MatrixOps
-
Print a space-separated array of elements
- toString(Object[]) - Static method in class cc.mallet.util.ArrayUtils
- 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.
- totalNanos - Variable in class cc.mallet.pipe.StringList2FeatureSequence
- totalTokens - Variable in class cc.mallet.topics.ParallelTopicModel
- totalTopicWeights - Variable in class cc.mallet.topics.WeightedTopicModel
- totalWeight - Variable in class cc.mallet.fst.semi_supervised.pr.SumLatticePR
- toXML() - Method in class cc.mallet.topics.TopicModelDiagnostics
- toXmlDocument() - Method in class cc.mallet.extract.DocumentExtraction
- toXmlDocument(String, Object) - Method in class cc.mallet.extract.DocumentExtraction
- toXmlString() - Method in class cc.mallet.extract.DocumentExtraction
- train(double) - Method in class cc.mallet.topics.RTopicModel
- 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) - 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) - Method in class cc.mallet.classify.MaxEntGETrainer
- train(InstanceList) - Method in class cc.mallet.classify.MaxEntPRTrainer
- train(InstanceList) - Method in class cc.mallet.classify.MaxEntTrainer
- train(InstanceList) - Method in class cc.mallet.classify.MCMaxEntTrainer
- train(InstanceList) - Method in class cc.mallet.classify.MostFrequentClassAssignmentTrainer
-
Create a MostFrequent classifier from a set of training data.
- 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.RandomAssignmentTrainer
-
Create a Random 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
weightsaccording to errors - train(InstanceList) - Method in class cc.mallet.fst.HMM
-
Trains a HMM without validation and evaluation.
- train(InstanceList) - Method in class cc.mallet.fst.MEMMTrainer
-
Trains a MEMM until convergence.
- train(InstanceList) - Method in class cc.mallet.fst.NoopTransducerTrainer
- train(InstanceList) - Method in class cc.mallet.fst.TransducerTrainer
- train(InstanceList, int) - Method in interface cc.mallet.classify.ClassifierTrainer.ByOptimization
- train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntGERangeTrainer
- train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntGETrainer
- train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntPRTrainer
- train(InstanceList, int) - Method in class cc.mallet.classify.MaxEntTrainer
- train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
- train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
- train(InstanceList, int) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
- 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) - Method in class cc.mallet.fst.HMMTrainerByLikelihood
- 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, int) - Method in class cc.mallet.fst.NoopTransducerTrainer
- train(InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
- train(InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByGE
- 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) - Method in class cc.mallet.fst.ShallowTransducerTrainer
-
Deprecated.
- train(InstanceList, int) - Method in class cc.mallet.fst.TransducerTrainer
-
Train the transducer associated with this TransducerTrainer.
- train(InstanceList, int, double[]) - Method in class cc.mallet.fst.CRFTrainerByLabelLikelihood
-
Train a CRF on various-sized subsets of the data.
- train(InstanceList, int, double[]) - Method in class cc.mallet.fst.CRFTrainerByThreadedLabelLikelihood
-
Train a CRF on various-sized subsets of the data.
- train(InstanceList, int, double[]) - Method in class cc.mallet.fst.CRFTrainerByValueGradients
-
Train a CRF on various-sized subsets of the data.
- train(InstanceList, int, int) - Method in class cc.mallet.classify.MaxEntPRTrainer
- train(InstanceList, int, int) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
- train(InstanceList, int, int) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
- train(InstanceList, int, int) - Method in class cc.mallet.topics.WordEmbeddings
- train(InstanceList, int, int, int) - Method in class cc.mallet.fst.semi_supervised.pr.CRFTrainerByPR
- train(InstanceList, InstanceList, int) - Method in class cc.mallet.fst.HMMTrainerByLikelihood
- train(InstanceList, InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByEntropyRegularization
-
Performs CRF training with label likelihood and entropy regularization.
- train(InstanceList, InstanceList, int) - Method in class cc.mallet.fst.semi_supervised.CRFTrainerByLikelihoodAndGE
- 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, 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, InstanceList, InstanceList, TransducerEvaluator, int, int, double[]) - Method in class cc.mallet.fst.MEMMTrainer
-
Not implemented yet.
- train(InstanceList, Labeler, int) - Method in interface cc.mallet.classify.ClassifierTrainer.ByActiveLearning
- 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.
- 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
- 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(Instance) - Method in interface cc.mallet.classify.ClassifierTrainer.ByInstanceIncrements
- trainIncremental(Instance) - Method in class cc.mallet.classify.NaiveBayesTrainer
- trainIncremental(Instance) - Method in class cc.mallet.fst.CRFTrainerByStochasticGradient
- trainIncremental(Instance) - Method in class cc.mallet.fst.TransducerTrainer.ByInstanceIncrements
- trainIncremental(InstanceList) - Method in interface cc.mallet.classify.ClassifierTrainer.ByIncrements
- trainIncremental(InstanceList) - 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(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
- 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.
- 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.TransitionIterator - Class in cc.mallet.fst
-
An abstract class to iterate over the states of the transducer.
- TransducerConfidenceEstimator - Class in cc.mallet.fst.confidence
-
Abstract class that estimates the confidence of a
Segmentextracted by aTransducer. - 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 aTransducer. - 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
Sequenceextracted by aTransducer.Note that this is different fromTransducerConfidenceEstimator, which estimates the confidence for a singleSegment. - 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.ByInstanceIncrements - Class in cc.mallet.fst
- TransducerTrainer.ByOptimization - Interface in cc.mallet.fst
- transformedToken(String) - Method in class cc.mallet.share.weili.ner.WordTransformation
- Transition(int, int, double, FeatureTransducer.State, String) - Constructor for class cc.mallet.fst.FeatureTransducer.Transition
- transitionIterator() - Method in class cc.mallet.fst.FeatureTransducer.State
- transitionIterator() - Method in class cc.mallet.fst.Transducer.State
- transitionIterator(int) - Method in class cc.mallet.fst.FeatureTransducer.State
- transitionIterator(FeatureVector, String) - Method in class cc.mallet.fst.CRF.State
- transitionIterator(Sequence, int) - Method in class cc.mallet.fst.FeatureTransducer.State
- transitionIterator(Sequence, int) - Method in class cc.mallet.fst.Transducer.State
- transitionIterator(Sequence, int, Sequence, int) - Method in class cc.mallet.fst.CRF.State
- transitionIterator(Sequence, int, Sequence, int) - 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(Object) - Method in class cc.mallet.fst.FeatureTransducer.State
- TransitionIterator() - Constructor for class cc.mallet.fst.Transducer.TransitionIterator
- TransitionIterator(CRF.State, FeatureVector, String, CRF) - Constructor for class cc.mallet.fst.CRF.TransitionIterator
- TransitionIterator(CRF.State, FeatureVectorSequence, int, String, CRF) - Constructor for class cc.mallet.fst.CRF.TransitionIterator
- TransitionIterator(FeatureTransducer.State) - Constructor for class cc.mallet.fst.FeatureTransducer.TransitionIterator
- TransitionIterator(FeatureTransducer.State, int) - Constructor for class cc.mallet.fst.FeatureTransducer.TransitionIterator
- TransitionIterator(HMM.State, FeatureSequence, int, String, HMM) - Constructor for class cc.mallet.fst.HMM.TransitionIterator
- TransitionIterator(MEMM.State, FeatureVector, String, CRF) - Constructor for class cc.mallet.fst.MEMM.TransitionIterator
- TransitionIterator(MEMM.State, FeatureVectorSequence, int, String, CRF) - Constructor for class cc.mallet.fst.MEMM.TransitionIterator
- transitionProbList - Variable in class cc.mallet.fst.semi_supervised.pr.CRFOptimizableByKL
- 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(File) - Constructor for class cc.mallet.pipe.tsf.TrieLexiconMembership
- TrieLexiconMembership(File, boolean) - 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(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
- trigamma(double) - Static method in class cc.mallet.types.Dirichlet
- trimLeft(String) - Static method in class cc.mallet.pipe.StringIterator
-
Remove whitespace prefix from string.
- trimRight(String) - Static method in class cc.mallet.pipe.StringIterator
-
Remove whitespace suffix from string.
- trimToSize() - Method in class cc.mallet.types.MultiInstanceList
- TRUE_NEGATIVE - Static variable in class cc.mallet.types.ROCData
- TRUE_POSITIVE - Static variable in class cc.mallet.types.ROCData
- TUI - Class in cc.mallet.share.mccallum.ner
- TUI - Class in cc.mallet.share.weili.ner.enron
- TUI() - Constructor for class cc.mallet.share.mccallum.ner.TUI
- TUI() - Constructor for class cc.mallet.share.weili.ner.enron.TUI
- TWO_PERCENT_INDEX - Static variable in class cc.mallet.topics.TopicModelDiagnostics
- TwoLabelGEConstraint(double[][], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints.TwoLabelGEConstraint
- 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>, IntIntHashMap, StateLabelMap) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelGEConstraints
- TwoLabelGEConstraints.TwoLabelGEConstraint - Class in cc.mallet.fst.semi_supervised.constraints
- TwoLabelKLGEConstraint(double[][], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelKLGEConstraints.TwoLabelKLGEConstraint
- 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
- TwoLabelL2GEConstraint(double[][], double) - Constructor for class cc.mallet.fst.semi_supervised.constraints.TwoLabelL2GEConstraints.TwoLabelL2GEConstraint
- 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
- 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() - Method in class cc.mallet.types.SparseMatrixn
- twoNorm() - Method in class cc.mallet.types.SparseVector
- twoNorm(double[]) - Static method in class cc.mallet.types.MatrixOps
- twoNormalize() - Method in class cc.mallet.types.DenseMatrix
- twoNormalize() - Method in interface cc.mallet.types.Matrix
- twoNormalize() - Method in class cc.mallet.types.SparseMatrixn
- twoNormalize(double[]) - Static method in class cc.mallet.types.MatrixOps
- twoNormSquared(double[]) - Static method in class cc.mallet.types.MatrixOps
- typeTopicCounts - Variable in class cc.mallet.topics.LabeledLDA
- 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.WeightedTopicModel
- typeTopicCounts - Variable in class cc.mallet.topics.WorkerCallable
- typeTopicCounts - Variable in class cc.mallet.topics.WorkerRunnable
- typeTopicWeights - Variable in class cc.mallet.topics.WeightedTopicModel
- typeTypeWeights - Variable in class cc.mallet.topics.WeightedTopicModel
U
- UNASSIGNED_TOPIC - Static variable in class cc.mallet.topics.ParallelTopicModel
- 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
- 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
- UnlabeledFileIterator - Class in cc.mallet.pipe.iterator
-
An iterator that generates instances from an initial directory or set of directories.
- UnlabeledFileIterator(File) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
- UnlabeledFileIterator(File[]) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
- UnlabeledFileIterator(File[], FileFilter) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
-
Construct a FileIterator that will supply filenames within initial directories as instances
- UnlabeledFileIterator(File, FileFilter) - 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
- UnlabeledFileIterator(String, FileFilter) - Constructor for class cc.mallet.pipe.iterator.UnlabeledFileIterator
- unLock() - Method in class cc.mallet.types.Instance
- updateScoreMatrix(Clustering, int, int) - Method in class cc.mallet.cluster.GreedyAgglomerative
-
Resets the values of clusters that have been merged.
- updateWeights() - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- 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
- 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
- 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 - Variable in class cc.mallet.util.CommandOption.Boolean
- value - Variable in class cc.mallet.util.CommandOption.Double
- value - Variable in class cc.mallet.util.CommandOption.DoubleArray
- value - Variable in class cc.mallet.util.CommandOption.File
- value - Variable in class cc.mallet.util.CommandOption.Integer
- value - Variable in class cc.mallet.util.CommandOption.IntegerArray
- value - Variable in class cc.mallet.util.CommandOption.Object
- value - Variable in class cc.mallet.util.CommandOption.Set
- value - Variable in class cc.mallet.util.CommandOption.SpacedStrings
- value - Variable in class cc.mallet.util.CommandOption.String
- value() - Method in class cc.mallet.util.CommandOption.Boolean
- value() - Method in class cc.mallet.util.CommandOption.Double
- value() - Method in class cc.mallet.util.CommandOption.DoubleArray
- value() - Method in class cc.mallet.util.CommandOption.File
- value() - Method in class cc.mallet.util.CommandOption.Integer
- value() - Method in class cc.mallet.util.CommandOption.IntegerArray
- value() - Method in class cc.mallet.util.CommandOption.Object
- value() - Method in class cc.mallet.util.CommandOption.ObjectFromBean
- value() - Method in class cc.mallet.util.CommandOption.Set
- value() - Method in class cc.mallet.util.CommandOption.SpacedStrings
- value() - Method in class cc.mallet.util.CommandOption.String
- value(int) - Method in class cc.mallet.cluster.Record
- value(int) - Method in class cc.mallet.extract.Field
- value(int) - Method in class cc.mallet.types.AugmentableFeatureVector
- value(int) - Method in class cc.mallet.types.DenseVector
- value(int) - Method in class cc.mallet.types.Label
- value(int) - Method in interface cc.mallet.types.Labeling
- value(int) - Method in class cc.mallet.types.SparseVector
- value(int) - Method in interface cc.mallet.types.Vector
-
Deprecated.
- 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.Matrixn
- value(int[]) - Method in class cc.mallet.types.SparseMatrixn
- value(int[]) - Method in class cc.mallet.types.SparseVector
- value(Label) - Method in class cc.mallet.types.Label
- value(Label) - Method in interface cc.mallet.types.Labeling
- value(Label) - Method in class cc.mallet.types.LabelVector
- value(Object) - Method in class cc.mallet.types.FeatureVector
- value(String) - Method in class cc.mallet.cluster.Record
- valueAlphabet() - Method in class cc.mallet.cluster.Record
- 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 - Variable in class cc.mallet.types.SparseVector
- values(int) - Method in class cc.mallet.cluster.Record
- values(String) - Method in class cc.mallet.cluster.Record
- ValueString2FeatureVector - Class in cc.mallet.pipe
- ValueString2FeatureVector() - Constructor for class cc.mallet.pipe.ValueString2FeatureVector
- ValueString2FeatureVector(String[]) - Constructor for class cc.mallet.pipe.ValueString2FeatureVector
- 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
- variance() - Method in class cc.mallet.util.Univariate
- variance(double[]) - Static method in class cc.mallet.types.MatrixOps
-
Return the variance using 1/n, not the unbiased 1/(n-1).
- variance(InstanceList) - Static method in class cc.mallet.util.VectorStats
-
Returns unbiased variance
- variance(InstanceList, boolean) - Static method in class cc.mallet.util.VectorStats
-
Returns a
SparseVectorwhose entries (taken from the union of those in the instances) are the variance of those in theInstanceList. - variance(InstanceList, SparseVector) - Static method in class cc.mallet.util.VectorStats
-
Returns unbiased variance of instances having the given mean.
- variance(InstanceList, SparseVector, boolean) - Static method in class cc.mallet.util.VectorStats
-
Returns a
SparseVectorwhose entries (taken from the mean argument) are the variance of those in theInstanceList. - variances() - Method in class cc.mallet.topics.WordEmbeddings
- 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
- viewDualResults(File, Extraction, CRFExtractor, Extraction, CRFExtractor) - Static method in class cc.mallet.extract.LatticeViewer
- ViterbiConfidenceEstimator - Class in cc.mallet.fst.confidence
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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
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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
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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
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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 - Variable in class cc.mallet.types.SequencePairAlignment
- weightAlphabet - Variable in class cc.mallet.fst.CRF.Factors
- WeightedIncrementor(double) - Constructor for class cc.mallet.fst.CRF.Factors.WeightedIncrementor
- WeightedIncrementor(double) - Constructor for class cc.mallet.fst.HMM.WeightedIncrementor
- WeightedTopicModel - Class in cc.mallet.topics
- WeightedTopicModel(int, double, double, Randoms) - Constructor for class cc.mallet.topics.WeightedTopicModel
- 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
- weightsFrozen - Variable in class cc.mallet.fst.CRF.Factors
- weightsStructureChanged() - Method in class cc.mallet.fst.CRF
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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
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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
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Classification methods of Winnow2 algorithm.
- Winnow(Pipe, double[][], double, int, int) - Constructor for class cc.mallet.classify.Winnow
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Passes along data pipe and weights from
WinnowTrainer - WinnowTrainer - Class in cc.mallet.classify
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An implementation of the training methods of a Winnow2 on-line classifier.
- WinnowTrainer() - Constructor for class cc.mallet.classify.WinnowTrainer
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Default constructor.
- WinnowTrainer(double, double) - Constructor for class cc.mallet.classify.WinnowTrainer
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Sets alpha and beta and default value for theta
- WinnowTrainer(double, double, double) - Constructor for class cc.mallet.classify.WinnowTrainer
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Sets alpha, beta, and nfactor
- WordEmbeddingCallable - Class in cc.mallet.topics
- WordEmbeddingCallable(WordEmbeddings, InstanceList, int, int, int) - Constructor for class cc.mallet.topics.WordEmbeddingCallable
- WordEmbeddings - Class in cc.mallet.topics
- WordEmbeddings() - Constructor for class cc.mallet.topics.WordEmbeddings
- WordEmbeddings(Alphabet, int, int) - Constructor for class cc.mallet.topics.WordEmbeddings
- wordScoresDefined - Variable in class cc.mallet.topics.TopicModelDiagnostics.TopicScores
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Some diagnostics have meaningful values for each word, others do not
- wordsPerTopic - Variable in class cc.mallet.topics.LabeledLDA
- wordsPerTopic - Variable in class cc.mallet.topics.LDAHyper
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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
- wordsPerTopic - Variable in class cc.mallet.topics.WeightedTopicModel
- wordsSoFar - Variable in class cc.mallet.topics.WordEmbeddingCallable
- 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
- WordVectors - Class in cc.mallet.pipe.tsf
- WordVectors(String, File) - Constructor for class cc.mallet.pipe.tsf.WordVectors
- WorkerCallable - Class in cc.mallet.topics
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A parallel topic model callable task.
- WorkerCallable() - Constructor for class cc.mallet.topics.WorkerCallable
- WorkerCallable(int, double[], double, double, Randoms, ArrayList<TopicAssignment>, int[][], int[], int, int) - Constructor for class cc.mallet.topics.WorkerCallable
- WorkerRunnable - Class in cc.mallet.topics
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A parallel topic model runnable task.
- WorkerRunnable() - Constructor for class cc.mallet.topics.WorkerRunnable
- 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.DMRTopicModel
- write(File) - Method in class cc.mallet.topics.HierarchicalLDA
- write(File) - Method in class cc.mallet.topics.LabeledLDA
- 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
- write(PrintWriter) - Method in class cc.mallet.topics.WordEmbeddings
- writeCommonWords(File, int) - Method in class cc.mallet.pipe.FeatureCountPipe
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List the most common words, for addition to a stop file
- writeContext(PrintWriter) - Method in class cc.mallet.topics.WordEmbeddings
- writeExtraction(File, Extraction) - Static method in class cc.mallet.extract.DocumentViewer
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Writes several HTML files describing a given extraction.
- writeFeatureFactors(PrintWriter) - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- 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
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Infer topics for the provided instances and write distributions to the provided file.
- writeInstanceFactors(PrintWriter) - Method in class cc.mallet.topics.NonNegativeMatrixFactorization
- writeInstanceList(SimpleTokenizer) - Static method in class cc.mallet.util.BulkLoader
- writeInstanceList(ArrayList<Pipe>) - Static method in class cc.mallet.util.DBBulkLoader
- writeObject(File, Serializable) - Static method in class cc.mallet.util.FileUtils
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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.
- writeState(String) - Method in class cc.mallet.topics.RTopicModel
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
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Zero expectation values.
- zeroExpectations() - Method in class cc.mallet.classify.PRAuxClassifier
- zeroExpectations() - Method in interface cc.mallet.fst.semi_supervised.constraints.GEConstraint
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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
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Zero expectation values.
- zeroExpectations() - Method in class cc.mallet.fst.semi_supervised.pr.PRAuxiliaryModel
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