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# Classes and Interfaces in #Mallet - 685 results found.
NameDescriptionTypePackageFrameworkJavaDoc
AbstractBeliefPropagationAbstract base class for umplementations of belief propagation for general factor graphs.Classcc.mallet.grmm.inferenceMalletjavadoc
AbstractFactorAn Abstract class from which new Factor classes can be subclassed.Classcc.mallet.grmm.typesMalletjavadoc
AbstractInferencerAbstract base class for inferencers.Classcc.mallet.grmm.inferenceMalletjavadoc
AbstractMessageStrategyCreated: May 29, 2005Version:$Id: AbstractMessageStrategy.Classcc.mallet.grmm.inference.gbpMalletjavadoc
AbstractTableFactorClass for a multivariate multinomial distribution.Classcc.mallet.grmm.typesMalletjavadoc
AccuracyCoverageMethods for calculating and displaying the accuracy v.Classcc.mallet.classify.evaluateMalletjavadoc
AccuracyCoverageEvaluatorConstructs Accuracy-coverage graph using confidence values to sort Fields.Classcc.mallet.extractMalletjavadoc
AccuracyEvaluatorAccuracy of a clustering is (truePositive + trueNegative) / (numberPairwiseComparisons)Constructor SummaryAccuracyEvaluator()Classcc.mallet.cluster.evaluateMalletjavadoc
ACRFClass for Arbitrary CRFs.Classcc.mallet.grmm.learningMalletjavadoc
ACRFEvaluatorCreated: Sun Jan 25 23:28:45 2004Version:$Id: ACRFEvaluator.Classcc.mallet.grmm.learningMalletjavadoc
ACRFExtractorCreated: Mar 1, 2005Version:$Id: ACRFExtractor.Classcc.mallet.grmm.learning.extractMalletjavadoc
ACRFExtractorTrainerCreated: Mar 31, 2005Version:$Id: ACRFExtractorTrainer.Classcc.mallet.grmm.learning.extractMalletjavadoc
AcrfExtractorTuiClasscc.mallet.grmm.learning.extractMalletjavadoc
AcrfSerialEvaluatorCreated: Aug 24, 2005Version:$Id: AcrfSerialEvaluator.Classcc.mallet.grmm.learningMalletjavadoc
ACRFTrainer$Id: ACRFTrainer.Interfacecc.mallet.grmm.learningMalletjavadoc
AdaBoost Robert E.Classcc.mallet.classifyMalletjavadoc
AdaBoostM2 Yoav Freund and Robert E.Classcc.mallet.classifyMalletjavadoc
AdaBoostM2TrainerThis version of AdaBoost can handle multi-class problems.Classcc.mallet.classifyMalletjavadoc
AdaBoostTrainerThis version of AdaBoost should be used only for binary classification.Classcc.mallet.classifyMalletjavadoc
AddableInterfacecc.mallet.utilMalletjavadoc
AddClassifierTokenPredictionsThis pipe uses a Classifier to label each token (i.Classcc.mallet.pipeMalletjavadoc
AgglomerativeNeighborA Neighbor created by merging two clusters of the originalSince:1.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
AGISNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.optimizeMalletjavadoc
AllPairsIteratorIterate over all pairs of Instances.Classcc.mallet.cluster.iteratorMalletjavadoc

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AlphabetA mapping between integers and objects where the mapping in each direction is efficient.Classcc.mallet.typesMalletjavadoc
AlphabetCarryingAn interface for objects that contain one or more Alphabets.Interfacecc.mallet.typesMalletjavadoc
AlphabetFactoryClasscc.mallet.typesMalletjavadoc
Array2FeatureVectorConverts a Java array of numerical types to a FeatureVector, where the Alphabet is the data array index wrapped in an Integer object.Classcc.mallet.pipeMalletjavadoc
ArrayDataAndTargetIteratorConstructor SummaryArrayDataAndTargetIterator(java.Classcc.mallet.pipe.iteratorMalletjavadoc
ArrayIteratorConstructor SummaryArrayIterator(java.Classcc.mallet.pipe.iteratorMalletjavadoc
ArrayListSequenceSee Also:Serialized FormFields inherited from class java.Classcc.mallet.typesMalletjavadoc
ArrayListUtilsClasscc.mallet.utilMalletjavadoc
ArraySequenceClasscc.mallet.typesMalletjavadoc
ArrayUtilsStatic utility methods for arrays (like java.Classcc.mallet.utilMalletjavadoc
AssignmentAn assignment to a bunch of variables.Classcc.mallet.grmm.typesMalletjavadoc
AssignmentIteratorIterates over the assignments to a set of variables.Interfacecc.mallet.grmm.typesMalletjavadoc
AStarCreated by IntelliJ IDEA.Classcc.mallet.util.searchMalletjavadoc
AStarNodeCreated by IntelliJ IDEA.Classcc.mallet.util.searchMalletjavadoc
AStarStateCreated by IntelliJ IDEA.Interfacecc.mallet.util.searchMalletjavadoc
AugmentableFeatureVectorSee Also:Serialized FormFields inherited from class cc.Classcc.mallet.typesMalletjavadoc
AugmentableFeatureVectorAddConjunctionsAdd specified conjunctions to each instance.Classcc.mallet.pipeMalletjavadoc
AugmentableFeatureVectorLogScaleGiven an AugmentableFeatureVector, set those values greater than or equal to 1 to log(value)+1.Classcc.mallet.pipeMalletjavadoc
BackTrackLineSearchConstructor SummaryBackTrackLineSearch(Optimizable.Classcc.mallet.optimizeMalletjavadoc
BaggingClassifierClasscc.mallet.classifyMalletjavadoc
BaggingTrainerClasscc.mallet.classifyMalletjavadoc
BalancedWinnowClassification methods of BalancedWinnow algorithm.Classcc.mallet.classifyMalletjavadoc
BalancedWinnowTrainerAn implementation of the training methods of a BalancedWinnow on-line classifier.Classcc.mallet.classifyMalletjavadoc
BCubedEvaluatorEvaluate a Clustering using the B-Cubed evaluation metric.Classcc.mallet.cluster.evaluateMalletjavadoc
BetaFactor$Id: BetaFactor.Classcc.mallet.grmm.typesMalletjavadoc

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BidirectionalIntObjectMapA mapping between integers and objects where the mapping in each direction is efficient.Classcc.mallet.grmm.typesMalletjavadoc
BinaryUnaryFactorA factor over a continuous variable theta and binary variables var.Classcc.mallet.grmm.typesMalletjavadoc
BIOTokenizationFilterCreated: Nov 12, 2004Version:$Id: BIOTokenizationFilter.Classcc.mallet.extractMalletjavadoc
BIOTokenizationFilterWithTokenIndicesSee Also:Serialized FormConstructor SummaryBIOTokenizationFilterWithTokenIndices()Classcc.mallet.extractMalletjavadoc
BitVarSetA clique that uses very little time and memory based on the flyweight pattern.Classcc.mallet.grmm.typesMalletjavadoc
BoltzmannPairFactorA factor over a continuous variable theta and binary variables var.Classcc.mallet.grmm.typesMalletjavadoc
BoltzmannUnaryFactorA factor over a continuous variable theta and binary variables var.Classcc.mallet.grmm.typesMalletjavadoc
BoostableInterfacecc.mallet.classifyMalletjavadoc
BPRegionGeneratorCreated: May 30, 2005Version:$Id: BPRegionGenerator.Classcc.mallet.grmm.inference.gbpMalletjavadoc
BranchingPipeA Pipe that works like a rule list.Classcc.mallet.pipeMalletjavadoc
BruteForceInferencerComputes the joint of a GraphicalModel by brute-force calculation.Classcc.mallet.grmm.inferenceMalletjavadoc
BshInterpreterFields inherited from class bsh.Classcc.mallet.utilMalletjavadoc
BulkLoaderThis class reads through a single file, breaking each line into data and (optional) name and label fields.Classcc.mallet.utilMalletjavadoc
C45A C4.Classcc.mallet.classifyMalletjavadoc
C45TrainerA C4.Classcc.mallet.classifyMalletjavadoc
CachedDotTransitionIteratorTransitionIterator that caches dot products.Classcc.mallet.fst.semi_supervised.prMalletjavadoc
CachedMetricStores a hash for each object being compared for efficient computation.Interfacecc.mallet.typesMalletjavadoc
CacheStaleIndicatorIndicates when the value/gradient during training becomes stale.Interfacecc.mallet.fstMalletjavadoc
CachingOptimizableCreated: Aug 27, 2004Version:$Id: CachingOptimizable.Classcc.mallet.grmm.utilMalletjavadoc
Calo2ClassifyClassify documents, run trials, print statistics from a vector file.Classcc.mallet.classify.tuiMalletjavadoc
ChainedInstanceIteratorUnder development, and not sure we actually want to have a class list this.Classcc.mallet.typesMalletjavadoc
CharSequence2CharNGramsTransform a character sequence into a token sequence of character N grams.Classcc.mallet.pipeMalletjavadoc
CharSequence2TokenSequencePipe that tokenizes a character sequence.Classcc.mallet.pipeMalletjavadoc
CharSequenceArray2TokenSequenceTransform an array of character Sequences into a token sequence.Classcc.mallet.pipeMalletjavadoc
CharSequenceLexerClasscc.mallet.utilMalletjavadoc

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CharSequenceLowercaseReplace the data string with a lowercased version.Classcc.mallet.pipeMalletjavadoc
CharSequenceRemoveHTMLThis pipe removes HTML from a CharSequence.Classcc.mallet.pipeMalletjavadoc
CharSequenceRemoveUUEncodedBlocksClasscc.mallet.pipeMalletjavadoc
CharSequenceReplaceGiven a string, repeatedly look for matches of the regex, and replace the entire match with the given replacement string.Classcc.mallet.pipeMalletjavadoc
CharSubsequenceGiven a string, return only the portion of the string inside a regex parenthesized group.Classcc.mallet.pipeMalletjavadoc
ClassificationThe result of classifying a single instance.Classcc.mallet.classifyMalletjavadoc
Classification2ConfidencePredictingFeatureVectorPipe features from underlying classifier to the confidence prediction instance listClasscc.mallet.pipeMalletjavadoc
ClassifierAbstract parent of all Classifiers.Classcc.mallet.classifyMalletjavadoc
Classifier2InfoDiagnostic facilities for a classifier.Classcc.mallet.classify.tuiMalletjavadoc
ClassifierAccuracyEvaluatorClasscc.mallet.classifyMalletjavadoc
ClassifierEnsembleClassifer for an ensemble of classifers, combined with learned weights.Classcc.mallet.classifyMalletjavadoc
ClassifierEnsembleTrainerClasscc.mallet.classifyMalletjavadoc
ClassifierEvaluatorClasscc.mallet.classifyMalletjavadoc
ClassifierTrainerEach ClassifierTrainer trains one Classifier based on various interfaces for consuming training data.Classcc.mallet.classifyMalletjavadoc
ClassifyingNeighborEvaluatorA NeighborEvaluator that is backed by a Classifier.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
ClustererAn abstract class for clustering a set of points.Classcc.mallet.clusterMalletjavadoc
ClusteringClasscc.mallet.clusterMalletjavadoc
ClusteringEvaluatorEvaluates a predicted Clustering against a true Clustering.Classcc.mallet.cluster.evaluateMalletjavadoc
ClusteringEvaluatorsA list of ClusteringEvaluators.Classcc.mallet.cluster.evaluateMalletjavadoc
ClusteringsClasscc.mallet.clusterMalletjavadoc
Clusterings2ClustererClasscc.mallet.cluster.tuiMalletjavadoc
Clusterings2ClusteringsClasscc.mallet.cluster.tuiMalletjavadoc
Clusterings2InfoClasscc.mallet.cluster.tuiMalletjavadoc
ClusteringScorerInterfacecc.mallet.cluster.clustering_scorerMalletjavadoc
ClusterSampleIteratorSample clusters of Instances.Classcc.mallet.cluster.iteratorMalletjavadoc

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ClusterUtilsUtility functions for Clusterings.Classcc.mallet.cluster.utilMalletjavadoc
ClusterVariationalRegionGeneratorCreated: Jun 1, 2005Version:$Id: ClusterVariationalRegionGenerator.Classcc.mallet.grmm.inference.gbpMalletjavadoc
CollectionUtils Created: Sun Jan 25 01:04:29 2004Version:$Id: CollectionUtils.Classcc.mallet.utilMalletjavadoc
ColorUtilsUtilities for dealing with RGB-style colors.Classcc.mallet.utilMalletjavadoc
CommandOptionClasscc.mallet.utilMalletjavadoc
ConcatenatedInstanceIteratorConstructor SummaryConcatenatedInstanceIterator(java.Classcc.mallet.pipe.iteratorMalletjavadoc
ConfidenceCorrectorEvaluatorCalculates the effectiveness of "constrained viterbi" in propagating corrections in one segment of a sequence to otherClasscc.mallet.fst.confidenceMalletjavadoc
ConfidenceEvaluatorClasscc.mallet.fst.confidenceMalletjavadoc
ConfidencePredictingClassifierSee Also:Serialized FormFields inherited from class cc.Classcc.mallet.classifyMalletjavadoc
ConfidencePredictingClassifierTrainerNested Class SummaryNested classes/interfaces inherited from class cc.Classcc.mallet.classifyMalletjavadoc
ConfidenceTokenizationFilterCreated: Oct 26, 2005Author:Serialized FormClasscc.mallet.extractMalletjavadoc
ConfusionMatrixCalculates and prints confusion matrix, accuracy, and precision for a given clasification trial.Classcc.mallet.classify.evaluateMalletjavadoc
ConjugateGradientNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.optimizeMalletjavadoc
ConllNer2003Sentence2TokenSequenceReads a data file in CoNLL 2003 format, and makes some simple Unlike the version in mccallum.Classcc.mallet.share.casutton.nerMalletjavadoc
ConllNer2003Sentence2TokenSequenceSee Also:Serialized FormConstructor SummaryConllNer2003Sentence2TokenSequence()Classcc.mallet.share.mccallum.nerMalletjavadoc
ConstantFactor$Id: ConstantFactor.Classcc.mallet.grmm.typesMalletjavadoc
ConstantMatrixInterfacecc.mallet.typesMalletjavadoc
ConstrainedForwardBackwardConfidenceEstimatorEstimates the confidence of a Segment extracted by a Transducer by performing a "constrained lattice" calculation.Classcc.mallet.fst.confidenceMalletjavadoc
ConstrainedViterbiTransducerCorrectorCorrects a subset of the Segments produced by a Transducer.Classcc.mallet.fst.confidenceMalletjavadoc
ConstraintsOptimizableByPROptimizable for E-step/I-projection in Posterior Regularization (PR).Classcc.mallet.fst.semi_supervised.prMalletjavadoc
CountMatchesClasscc.mallet.pipe.tsfMalletjavadoc
CountMatchesAlignedWithOffsetsSee Also:Serialized FormConstructor SummaryCountMatchesAlignedWithOffsets(java.Classcc.mallet.pipe.tsfMalletjavadoc
CountMatchesMatchingSee Also:Serialized FormConstructor SummaryCountMatchesMatching(java.Classcc.mallet.pipe.tsfMalletjavadoc
CPT$Id: CPT.Classcc.mallet.grmm.typesMalletjavadoc
CRFRepresents a CRF model.Classcc.mallet.fstMalletjavadoc

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CRFCacheStaleIndicatorIndicates when the value/gradient becomes stale based on updates to CRF'sAuthor:Gaurav ChandaliaClasscc.mallet.fstMalletjavadoc
CRFExtractorCreated: Oct 12, 2004Version:$Id: CRFExtractor.Classcc.mallet.extractMalletjavadoc
CRFOptimizableByBatchLabelLikelihood easily parallelized.Classcc.mallet.fstMalletjavadoc
CRFOptimizableByEntropyRegularizationA CRF objective function that is the entropy of the CRF's predictions on unlabeled data.Classcc.mallet.fst.semi_supervisedMalletjavadoc
CRFOptimizableByGEOptimizable for CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF.Classcc.mallet.fst.semi_supervisedMalletjavadoc
CRFOptimizableByGradientValuesA CRF objective function that is the sum of multiple objective functions that implement Optimizable.Classcc.mallet.fstMalletjavadoc
CRFOptimizableByKLM-step/M-projection for PR.Classcc.mallet.fst.semi_supervised.prMalletjavadoc
CRFOptimizableByLabelLikelihoodAn objective function for CRFs that is the label likelihood plus a Gaussian or hyperbolic prior on parameters.Classcc.mallet.fstMalletjavadoc
CRFTrainerByEntropyRegularizationA CRF trainer that maximizes the log-likelihood plus a weighted entropy regularization term on unlabeled Classcc.mallet.fst.semi_supervisedMalletjavadoc
CRFTrainerByGETrains a CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF.Classcc.mallet.fst.semi_supervisedMalletjavadoc
CRFTrainerByL1LabelLikelihoodCRF trainer that implements L1-regularization.Classcc.mallet.fstMalletjavadoc
CRFTrainerByLabelLikelihoodUnlike ClassifierTrainer, TransducerTrainer is not "stateless" between calls to train.Classcc.mallet.fstMalletjavadoc
CRFTrainerByLikelihoodAndGENested Class SummaryNested classes/interfaces inherited from class cc.Classcc.mallet.fst.semi_supervisedMalletjavadoc
CRFTrainerByPRPosterior regularization trainer.Classcc.mallet.fst.semi_supervised.prMalletjavadoc
CRFTrainerByStochasticGradientTrains CRF by stochastic gradient.Classcc.mallet.fstMalletjavadoc
CRFTrainerByThreadedLabelLikelihoodClasscc.mallet.fstMalletjavadoc
CRFTrainerByValueGradientsA CRF trainer that can combine multiple objective functions, each represented by a Optmizable.Classcc.mallet.fstMalletjavadoc
CRFWriterSaves a trained model to specified filename.Classcc.mallet.fstMalletjavadoc
CrossTemplate1$Id: CrossTemplate1.Classcc.mallet.grmm.examplesMalletjavadoc
CrossValidationIteratorAn iterator which splits an InstanceList into n-folds and iterates over the folds for use in n-fold cross-validation.Classcc.mallet.typesMalletjavadoc
CSIntInt2ObjectMultiMapA map that maps (int, int) --> object, where each (int,int) key is allowed to map to multiple objects.Classcc.mallet.grmm.utilMalletjavadoc
Csv2ArrayConverts a string of comma separated values to an array.Classcc.mallet.pipeMalletjavadoc
Csv2ClassifyCommand line tool for classifying a sequence of instances directly from text input, withoutClasscc.mallet.classify.tuiMalletjavadoc
Csv2FeatureVectorConverts a string of the form feature_1:val_1 feature_2:val_2 .Classcc.mallet.pipeMalletjavadoc
Csv2VectorsCommand line import tool for loading a sequence of instances from a single file, with one instance Classcc.mallet.classify.tuiMalletjavadoc

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CsvIteratorThis iterator, perhaps more properly called a Line Pattern Iterator, reads through a file and returns one instance per line,Classcc.mallet.pipe.iteratorMalletjavadoc
DecisionTreeDecision Tree classifier.Classcc.mallet.classifyMalletjavadoc
DecisionTreeTrainerA decision tree learner, roughly ID3, but only to a fixed given depth in all branches.Classcc.mallet.classifyMalletjavadoc
DefaultAcrfTrainerClass for training ACRFs.Classcc.mallet.grmm.learningMalletjavadoc
DefaultTokenizationFilterCreated: Nov 12, 2004Version:$Id: DefaultTokenizationFilter.Classcc.mallet.extractMalletjavadoc
DenseMatrixClasscc.mallet.typesMalletjavadoc
DenseVectorSee Also:Serialized FormFields inherited from class cc.Classcc.mallet.typesMalletjavadoc
DirectedModelClass for directed graphical models.Classcc.mallet.grmm.typesMalletjavadoc
Directory2FileIteratorConvert a File object representing a directory into a FileIterator which iterates over files in the directory matching a pattern and which extractsClasscc.mallet.pipeMalletjavadoc
DirectoryFilterClasscc.mallet.utilMalletjavadoc
DirichletVarious useful functions related to Dirichlet distributions.Classcc.mallet.typesMalletjavadoc
DiscreteFactor$Id: DiscreteFactor.Interfacecc.mallet.grmm.typesMalletjavadoc
DMRLoaderThis class loads data into the format for the MALLET Dirichlet-multinomial regression (DMR).Classcc.mallet.topics.tuiMalletjavadoc
DMROptimizableNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.topicsMalletjavadoc
DMRTopicModelClasscc.mallet.topicsMalletjavadoc
DocumentClassifierClasscc.mallet.classify.examplesMalletjavadoc
DocumentExtractionCreated: Oct 12, 2004Version:$Id: DocumentExtraction.Classcc.mallet.extractMalletjavadoc
DocumentLengthsClasscc.mallet.utilMalletjavadoc
DocumentViewerDiagnosis class that outputs HTML pages that allows you to view errors on a more global per-instance basis.Classcc.mallet.extractMalletjavadoc
DoubleListSee Also:Serialized FormConstructor SummaryDoubleList()Classcc.mallet.utilMalletjavadoc
EmptyInstanceIteratorConstructor SummaryEmptyInstanceIterator()Methods inherited from class java.Classcc.mallet.pipe.iteratorMalletjavadoc
EnronMessage2TokenSequenceClasscc.mallet.share.weili.ner.enronMalletjavadoc
EntropyLatticeRuns subsequence constrained forward-backward to compute the entropy of label Gideon Mann, Andrew McCallumClasscc.mallet.fst.semi_supervisedMalletjavadoc
EvaluateTopicsClasscc.mallet.topics.tuiMalletjavadoc
ExactMatchComparatorCreated: Nov 23, 2004Version:$Id: ExactMatchComparator.Classcc.mallet.extractMalletjavadoc

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ExactSamplerComputes an exact sample from the distribution of a given factor graph by forming Created: Nov 9, 2005Classcc.mallet.grmm.inferenceMalletjavadoc
ExamplesA class to demonstrate the functionality of the JWNL package.Classcc.mallet.util.resources.wnMalletjavadoc
ExpGainClasscc.mallet.typesMalletjavadoc
ExtractionThe results of doing information extraction.Classcc.mallet.extractMalletjavadoc
ExtractionConfidenceEstimatorEstimates the confidence in the labeling of a LabeledSpan.Classcc.mallet.extractMalletjavadoc
ExtractionEvaluatorCreated: Oct 8, 2004Version:$Id: ExtractionEvaluator.Interfacecc.mallet.extractMalletjavadoc
ExtractorGeneric interface for objects that do information extraction.Interfacecc.mallet.extractMalletjavadoc
FactorInterface for multivariate discrete probability distributions.Interfacecc.mallet.grmm.typesMalletjavadoc
FactorGraphClass for undirected graphical models.Classcc.mallet.grmm.typesMalletjavadoc
FactorizedRegionA more space-efficient Region class that doesn't maintain a global factor over all assignments to the region.Classcc.mallet.grmm.inference.gbpMalletjavadoc
FactorsA static utility class containing utility methods for dealing with factors, especially TableFactor objects.Classcc.mallet.grmm.typesMalletjavadoc
FeatureConjunctionClasscc.mallet.typesMalletjavadoc
FeatureConstraintUtilUtility functions for creating feature constraints that can be used with GE training.Classcc.mallet.classifyMalletjavadoc
FeatureCounterEfficient, compact, incremental counting of features in an alphabet.Classcc.mallet.typesMalletjavadoc
FeatureCounterClasscc.mallet.utilMalletjavadoc
FeatureCountPipePruning low-count features can be a good way to save memory and computation.Classcc.mallet.pipeMalletjavadoc
FeatureCountsClasscc.mallet.typesMalletjavadoc
FeatureDocFreqPipePruning low-count features can be a good way to save memory and computation.Classcc.mallet.pipeMalletjavadoc
FeatureInducerSee Also:Serialized FormConstructor SummaryFeatureInducer(RankedFeatureVector.Classcc.mallet.typesMalletjavadoc
FeatureSelectingClassifierTrainerAdaptor for adding feature selection to a classifier trainer.Classcc.mallet.classifyMalletjavadoc
FeatureSelectionClasscc.mallet.typesMalletjavadoc
FeatureSelectorConstructor SummaryFeatureSelector(RankedFeatureVector.Classcc.mallet.typesMalletjavadoc
FeatureSequenceAn implementation of Sequence that ensures that every Object in the sequence has the same class.Classcc.mallet.typesMalletjavadoc
FeatureSequence2AugmentableFeatureVectorConvert the data field from a feature sequence to an augmentable feature vector.Classcc.mallet.pipeMalletjavadoc
FeatureSequence2FeatureVectorConvert the data field from a feature sequence to a feature vector.Classcc.mallet.pipeMalletjavadoc

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FeatureSequenceConvolution Convert Feature sequenceSee Also:Serialized FormConstructor SummaryFeatureSequenceConvolution()Classcc.mallet.pipeMalletjavadoc
FeatureSequenceWithBigramsA FeatureSequence with a parallel record of bigrams, kept in a separate dictionaryAuthor:Andrew McCallumSee Also:Serialized FormClasscc.mallet.typesMalletjavadoc
FeaturesInWindowSee Also:Serialized FormConstructor SummaryFeaturesInWindow(java.Classcc.mallet.pipe.tsfMalletjavadoc
FeaturesOfFirstMentionSee Also:Serialized FormConstructor SummaryFeaturesOfFirstMention(java.Classcc.mallet.pipe.tsfMalletjavadoc
FeatureTransducerClasscc.mallet.fstMalletjavadoc
FeatureValueString2FeatureVectorSee Also:Serialized FormConstructor SummaryFeatureValueString2FeatureVector()Classcc.mallet.pipeMalletjavadoc
FeatureVectorA subset of an Alphabet in which each element of the subset has an associated value.Classcc.mallet.typesMalletjavadoc
FeatureVectorConjunctionsInclude in the FeatureVector conjunctions of all its features.Classcc.mallet.pipeMalletjavadoc
FeatureVectorSequenceClasscc.mallet.typesMalletjavadoc
FeatureVectorSequence2FeatureVectorsGiven instances with a FeatureVectorSequence in the data field, break up the sequence into the individual FeatureVectors, producing one FeatureVector per Instance.Classcc.mallet.pipeMalletjavadoc
FeatureWindowAdds all features of tokens in the window to the center token.Classcc.mallet.share.upenn.nerMalletjavadoc
FieldCreated: Oct 12, 2004Version:$Id: Field.Classcc.mallet.extractMalletjavadoc
FieldCleanerInterface for functions that are used to clean up field values after extraction has been performed.Interfacecc.mallet.extractMalletjavadoc
FieldComparatorInterface for functions that compares extracted values of a field to see if they match.Interfacecc.mallet.extractMalletjavadoc
FileIteratorAn iterator that generates instances from an initial directory or set of directories.Classcc.mallet.pipe.iteratorMalletjavadoc
FileListIteratorAn iterator that generates instances for a pipe from a list of filenames.Classcc.mallet.pipe.iteratorMalletjavadoc
Filename2CharSequenceGiven a filename contained in a string, read in contents of file into a CharSequence.Classcc.mallet.pipeMalletjavadoc
FileUriIteratorFields inherited from class cc.Classcc.mallet.pipe.iteratorMalletjavadoc
FileUtilsContains static utilities for manipulating files.Classcc.mallet.utilMalletjavadoc
FilterEmptyFeatureVectorsSee Also:Serialized FormConstructor SummaryFilterEmptyFeatureVectors()Classcc.mallet.pipeMalletjavadoc
FirstOrderClusterExampleIllustrates use of a supervised clustering method that uses features over clusters.Classcc.mallet.cluster.examplesMalletjavadoc
FlopsUtilities for flop (floating-point operation) counting.Classcc.mallet.grmm.utilMalletjavadoc
FSTConstraintUtilExpectation constraint utilities for fst package.Classcc.mallet.fst.semi_supervisedMalletjavadoc
FullMessageStrategyA first implementation of MessageStrategy that assumes that a BP region graph Created: May 29, 2005Classcc.mallet.grmm.inference.gbpMalletjavadoc
GainRatioList of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the Classcc.mallet.typesMalletjavadoc

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GammaAverageConfidenceEstimatorCalculates the confidence in an extracted segment by taking the average of P(s_iClasscc.mallet.fst.confidenceMalletjavadoc
GammaProductConfidenceEstimatorCalculates the confidence in an extracted segment by taking the product of eP(s_iClasscc.mallet.fst.confidenceMalletjavadoc
GEConstraintInterface for GE constraint that considers either one or two states.Interfacecc.mallet.fst.semi_supervised.constraintsMalletjavadoc
GELatticeRuns the dynamic programming algorithm of [Mann and McCallum 08] for computing the gradient of a Generalized Expectation constraint thatClasscc.mallet.fst.semi_supervisedMalletjavadoc
GeneralUtilsStatic utility methods that didn't seem to belong anywhere else.Classcc.mallet.grmm.utilMalletjavadoc
GenericAcrfData2TokenSequenceGeneric pipe that takes a linegroup of the form: LABEL1 LABEL2 .Classcc.mallet.grmm.learningMalletjavadoc
GenericAcrfTuiClasscc.mallet.grmm.learningMalletjavadoc
GibbsSamplerCreated: Mar 28, 2005Version:$Id: GibbsSampler.Classcc.mallet.grmm.inferenceMalletjavadoc
GradientAscentNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.optimizeMalletjavadoc
GradientBracketLineOptimizerNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.optimizeMalletjavadoc
GradientGainClasscc.mallet.typesMalletjavadoc
GraphFramework for standard graph.Classcc.mallet.classify.evaluateMalletjavadoc
Graph2Methods for a 2-D graphSee Also:Serialized FormClasscc.mallet.classify.evaluateMalletjavadoc
GraphItemHolds data for a point on a graphConstructor SummaryGraphItem(java.Classcc.mallet.classify.evaluateMalletjavadoc
GraphsCreated: Dec 21, 2005Version:$Id: Graphs.Classcc.mallet.grmm.utilMalletjavadoc
GreedyAgglomerativeGreedily merges Instances until convergence.Classcc.mallet.clusterMalletjavadoc
GreedyAgglomerativeByDensityGreedily merges Instances until convergence.Classcc.mallet.clusterMalletjavadoc
HashedSparseVectorSee Also:Serialized FormFields inherited from class cc.Classcc.mallet.typesMalletjavadoc
HashVarSetA clique is a collection of nodes in a graph that are all adjacent.Classcc.mallet.grmm.typesMalletjavadoc
HierarchicalLDAClasscc.mallet.topicsMalletjavadoc
HierarchicalLDATUIClasscc.mallet.topics.tuiMalletjavadoc
HierarchicalPAMHierarchical PAM, where each node in the DAG has a distribution over all topics on the next level and one additional "node-specific" topic.Classcc.mallet.topicsMalletjavadoc
HierarchicalTokenizationFilterTokenization filter that will create nested spans based on a hierarchical labeling of the data.Classcc.mallet.extractMalletjavadoc
HillClimbingClustererA Clusterer that iteratively improves a predicted Clustering using a NeighborEvaluator.Classcc.mallet.clusterMalletjavadoc
HMMA Hidden Markov Model.Classcc.mallet.fstMalletjavadoc

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HMMTrainerByLikelihoodNested Class SummaryNested classes/interfaces inherited from class cc.Classcc.mallet.fstMalletjavadoc
IDSorterThis class is contains a comparator for use in sorting integers that have associated floating point values.Classcc.mallet.typesMalletjavadoc
IndexedSparseVectorSee Also:Serialized FormFields inherited from class cc.Classcc.mallet.typesMalletjavadoc
InferencerInterface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions overInterfacecc.mallet.grmm.inferenceMalletjavadoc
InferTopicsClasscc.mallet.topics.tuiMalletjavadoc
InfoGainClasscc.mallet.typesMalletjavadoc
Input2CharSequencePipe that can read from various kinds of text sources (either URI, File, or Reader) into a CharSequenceClasscc.mallet.pipeMalletjavadoc
InstanceA machine learning "example" to be used in training, testing or performance of various machine learning algorithms.Classcc.mallet.typesMalletjavadoc
InstanceAccuracyEvaluatorReports the percentage of instances for which the entire predicted sequence was Created: May 12, 2004Classcc.mallet.fstMalletjavadoc
InstanceListA list of machine learning instances, typically used for training or testing of a machine learning algorithm.Classcc.mallet.typesMalletjavadoc
InstanceListTrimFeaturesByCountClasscc.mallet.pipeMalletjavadoc
InstanceListTUIClasscc.mallet.typesMalletjavadoc
InstanceWithConfidenceHelper class to store confidence of an Instance.Classcc.mallet.fst.confidenceMalletjavadoc
InvalidOptimizableExceptionException thrown by optimization algorithms, when the problem is usually due to a problem with the given Maximizable instance.Classcc.mallet.optimizeMalletjavadoc
InvertedIndexClasscc.mallet.typesMalletjavadoc
IoUtilsClasscc.mallet.utilMalletjavadoc
IsolatedSegmentTransducerCorrectorCorrects a subset of the Segments produced by a Transducer.Classcc.mallet.fst.confidenceMalletjavadoc
JunctionTreeDatastructure for a junction tree.Classcc.mallet.grmm.inferenceMalletjavadoc
JunctionTreeInferencerDoes inference in general graphical models using the Hugin junction tree algorithm.Classcc.mallet.grmm.inferenceMalletjavadoc
KBestClustererReturn the K best predicted ClusteringsAuthor:culottaSee Also:Serialized FormClasscc.mallet.clusterMalletjavadoc
Kikuchi4SquareRegionGeneratorCreated: May 31, 2005Version:$Id: Kikuchi4SquareRegionGenerator.Classcc.mallet.grmm.inference.gbpMalletjavadoc
KLGainClasscc.mallet.typesMalletjavadoc
KMeans Clusters the points into k clusters by minimizing the total intra-cluster variance.Classcc.mallet.clusterMalletjavadoc
LabelClasscc.mallet.typesMalletjavadoc
LabelAlphabetA mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.Classcc.mallet.typesMalletjavadoc

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LabelDistributionEvaluatorPrints predicted and true label distribution.Classcc.mallet.fstMalletjavadoc
LabeledSpanCreated: Oct 12, 2004Version:$Id: LabeledSpan.Classcc.mallet.extractMalletjavadoc
LabeledSpansCreated: Oct 31, 2004Version:$Id: LabeledSpans.Classcc.mallet.extractMalletjavadoc
LabelerInterfacecc.mallet.typesMalletjavadoc
LabelingA distribution over possible labels for an instance.Interfacecc.mallet.typesMalletjavadoc
LabelingsA collection of labelings, either for a multi-label problem (all labels are part of the same label dictionary), or a factorizedClasscc.mallet.typesMalletjavadoc
LabelsUsually some distribution over possible labels for an instance.Classcc.mallet.typesMalletjavadoc
LabelsAssignmentA special kind of assignment for Variables that can be arranged in a LabelsSequence.Classcc.mallet.grmm.utilMalletjavadoc
LabelSequenceClasscc.mallet.typesMalletjavadoc
LabelsSequenceA simple Sequence implementation where all of the elements must be Labels.Classcc.mallet.typesMalletjavadoc
LabelsSequence2Assignment$Id: LabelsSequence2Assignment.Classcc.mallet.grmm.utilMalletjavadoc
LabelVectorClasscc.mallet.typesMalletjavadoc
LatticeViewerCreated: Oct 31, 2004Version:$Id: LatticeViewer.Classcc.mallet.extractMalletjavadoc
LDALatent Dirichlet Allocation.Classcc.mallet.topicsMalletjavadoc
LDAHyperLatent Dirichlet Allocation with optimized hyperparametersAuthor:David Mimno, Andrew McCallumSee Also:Serialized FormClasscc.mallet.topicsMalletjavadoc
LDAStreamClasscc.mallet.topicsMalletjavadoc
LengthBinsA feature approximating string length.Classcc.mallet.share.upenn.nerMalletjavadoc
LexerInterfacecc.mallet.utilMalletjavadoc
LexiconMembershipSee Also:Serialized FormConstructor SummaryLexiconMembership(java.Classcc.mallet.pipe.tsfMalletjavadoc
LimitedMemoryBFGSNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.optimizeMalletjavadoc
LineGroupIteratorIterate over groups of lines of text, separated by lines that match a regular expression.Classcc.mallet.pipe.iteratorMalletjavadoc
LineGroupString2TokenSequenceSee Also:Serialized FormConstructor SummaryLineGroupString2TokenSequence()Classcc.mallet.pipeMalletjavadoc
LineIteratorConstructor SummaryLineIterator(java.Classcc.mallet.pipe.iteratorMalletjavadoc
LineOptimizerOptimize, constrained to move parameters along the direction of a specified line.Interfacecc.mallet.optimizeMalletjavadoc
ListMemberChecks membership in a lexicon in a text file.Classcc.mallet.share.upenn.nerMalletjavadoc

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ListVarSetA clique that uses very little time and memory based on the flyweight pattern, in the same way as BitVarSet.Classcc.mallet.grmm.typesMalletjavadoc
LogNumberClasscc.mallet.typesMalletjavadoc
LogTableFactorCreated: Jan 4, 2006Version:$Id: LogTableFactor.Classcc.mallet.grmm.typesMalletjavadoc
LongRegexMatchesMatches a regular expression which spans several tokens.Classcc.mallet.share.upenn.nerMalletjavadoc
LoopyBPThe loopy belief propagation algorithm for approximate inference in general graphical models.Classcc.mallet.grmm.inferenceMalletjavadoc
MakeAmpersandXMLFriendlyconvert & to & in tokens of a token sequenceAuthor:Aron Culotta culotta@cs.Classcc.mallet.pipeMalletjavadoc
MalletLoggerClasscc.mallet.utilMalletjavadoc
MalletProgressMessageLoggerCreated by IntelliJ IDEA.Classcc.mallet.utilMalletjavadoc
MarginalProbEstimatorAn implementation of topic model marginal probability estimators presented in Wallach et al.Classcc.mallet.topicsMalletjavadoc
MathsClasscc.mallet.utilMalletjavadoc
MatricesStatic Matrix constructors.Classcc.mallet.grmm.utilMalletjavadoc
MatrixInterfacecc.mallet.typesMalletjavadoc
Matrix2See Also:Serialized FormFields inherited from class cc.Classcc.mallet.typesMalletjavadoc
Matrixn number of dimensions.Classcc.mallet.typesMalletjavadoc
MatrixOpsA class of static utility functions for manipulating arrays ofConstructor SummaryMatrixOps()Classcc.mallet.typesMalletjavadoc
MaxEntMaximum Entropy (AKA Multivariate Logistic Regression) classifier.Classcc.mallet.classifyMalletjavadoc
MaxEntConfidenceEstimatorEstimates the confidence of a Segment extracted by a Transducer using a MaxEnt classifier to classify segments as "correct" or "incorrect.Classcc.mallet.fst.confidenceMalletjavadoc
MaxEntFLGEConstraintsAbstract expectation constraint for use with Generalized Expectation (GE).Classcc.mallet.classify.constraints.geMalletjavadoc
MaxEntFLPRConstraintsAbstract expectation constraint for use with Posterior Regularization (PR).Classcc.mallet.classify.constraints.prMalletjavadoc
MaxEntGEConstraintInterface for expectation constraints for use with Generalized Expectation (GE).Interfacecc.mallet.classify.constraints.geMalletjavadoc
MaxEntGERangeTrainerTraining of MaxEnt models with labeled features using Generalized Expectation Criteria.Classcc.mallet.classifyMalletjavadoc
MaxEntGETrainerTraining of MaxEnt models with labeled features using Generalized Expectation Criteria.Classcc.mallet.classifyMalletjavadoc
MaxEntKLFLGEConstraintsExpectation constraint for use with GE.Classcc.mallet.classify.constraints.geMalletjavadoc
MaxEntL1TrainerClasscc.mallet.classifyMalletjavadoc
MaxEntL2FLGEConstraintsExpectation constraint for use with GE.Classcc.mallet.classify.constraints.geMalletjavadoc

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MaxEntL2FLPRConstraintsExpectation constraint for use with Posterior Regularization (PR).Classcc.mallet.classify.constraints.prMalletjavadoc
MaxEntOptimizableByGENested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.classifyMalletjavadoc
MaxEntOptimizableByLabelDistributionNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.classifyMalletjavadoc
MaxEntOptimizableByLabelLikelihoodNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.classifyMalletjavadoc
MaxEntPRConstraintInterface for expectation constraints for use with Posterior Regularization (PR).Interfacecc.mallet.classify.constraints.prMalletjavadoc
MaxEntPRTrainerPenalty (soft) version of Posterior Regularization (PR) for training MaxEnt.Classcc.mallet.classifyMalletjavadoc
MaxEntRangeL2FLGEConstraintsExpectation constraint for use with GE.Classcc.mallet.classify.constraints.geMalletjavadoc
MaxEntSequenceConfidenceEstimatorEstimates the confidence of a Sequence extracted by a Transducer using a MaxEnt classifier to classify Sequences as "correct" or "incorrect.Classcc.mallet.fst.confidenceMalletjavadoc
MaxEntShellSimple wrapper for training a MALLET maxent classifier.Classcc.mallet.share.upennMalletjavadoc
MaxEntTrainerThe trainer for a Maximum Entropy classifier.Classcc.mallet.classifyMalletjavadoc
MaxLatticeThe interface to classes implementing the Viterbi algorithm, finding the best sequence of states for a given input sequence.Interfacecc.mallet.fstMalletjavadoc
MaxLatticeDefaultDefault, full dynamic programming version of the Viterbi "Max-(Product)-Lattice" algorithm.Classcc.mallet.fstMalletjavadoc
MaxLatticeFactorySee Also:Serialized FormConstructor SummaryMaxLatticeFactory()Classcc.mallet.fstMalletjavadoc
MCMaxEntMaximum Entropy classifier.Classcc.mallet.classifyMalletjavadoc
MCMaxEntTrainerThe trainer for a Maximum Entropy classifier.Classcc.mallet.classifyMalletjavadoc
MedoidEvaluatorUses a Classifier over pairs of Instances to score Neighbor.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
MEMMA Maximum Entropy Markov Model.Classcc.mallet.fstMalletjavadoc
MEMMTrainerTrains and evaluates a MEMM.Classcc.mallet.fstMalletjavadoc
MessageArrayEfficiently manages a array of messages in a factor graph from variables to factors and vice versa.Classcc.mallet.grmm.inferenceMalletjavadoc
MessageStrategyCreated: May 29, 2005Version:$Id: MessageStrategy.Interfacecc.mallet.grmm.inference.gbpMalletjavadoc
MetricInterfacecc.mallet.typesMalletjavadoc
MinHeapCreated by IntelliJ IDEA.Classcc.mallet.util.searchMalletjavadoc
MinkowskiClasscc.mallet.typesMalletjavadoc
MinSegmentConfidenceEstimatorEstimates the confidence of an entire sequence by the least confidence segment.Classcc.mallet.fst.confidenceMalletjavadoc
MIntInt2ObjectMapHash map that maps integer pairs to objects.Classcc.mallet.grmm.utilMalletjavadoc

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ModelReader$Id: ModelReader.Classcc.mallet.grmm.utilMalletjavadoc
ModelReaderExampleClasscc.mallet.grmm.examplesMalletjavadoc
ModelsStatic utilities that do useful things with factor graphs.Classcc.mallet.grmm.utilMalletjavadoc
ModelWriter$Id: ModelReader.Classcc.mallet.grmm.utilMalletjavadoc
MUCEvaluatorEvaluate a Clustering using the MUC evaluation metric.Classcc.mallet.cluster.evaluateMalletjavadoc
MultiInstanceListAn implementation of InstanceList that logically combines multiple instance lists so that they appear as one list without copying the original lists.Classcc.mallet.typesMalletjavadoc
MultinomialA probability distribution over a set of features represented as a FeatureVector.Classcc.mallet.typesMalletjavadoc
MultinomialHMMLatent Dirichlet Allocation.Classcc.mallet.topicsMalletjavadoc
MultiSegmentationEvaluatorEvaluates a transducer model, computes the precision, recall and F1 scores; considers segments that span across multiple tokens.Classcc.mallet.fstMalletjavadoc
MultiSegmentationEvaluatorACRFClasscc.mallet.grmm.learningMalletjavadoc
MVNormalTools for working with multivariate normal distributionsConstructor SummaryMVNormal()Classcc.mallet.utilMalletjavadoc
NaiveBayesA classifier that classifies instances according to the NaiveBayes method.Classcc.mallet.classifyMalletjavadoc
NaiveBayesEMTrainerClasscc.mallet.classifyMalletjavadoc
NaiveBayesTrainerClass used to generate a NaiveBayes classifier from a set of training data.Classcc.mallet.classifyMalletjavadoc
NBestViterbiConfidenceEstimatorEstimates the confidence of an entire sequence by the probability that one of the the Viterbi paths rank 2->N is correct.Classcc.mallet.fst.confidenceMalletjavadoc
NeighborA Clustering and a modified version of that Clustering.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
NeighborEvaluatorScores the value of changing the current Clustering to the modified Clustering specified in a Neighbor object.Interfacecc.mallet.cluster.neighbor_evaluatorMalletjavadoc
NeighborIteratorSample Instances with data objects equal to Neighbors.Classcc.mallet.cluster.iteratorMalletjavadoc
NEPipesClasscc.mallet.share.upenn.nerMalletjavadoc
NodeClusterSampleIteratorSamples merges of a singleton cluster with another (possibly non-singleton) cluster.Classcc.mallet.cluster.iteratorMalletjavadoc
NoopA pipe that does nothing to the instance fields but which has side effects on the dictionary.Classcc.mallet.pipeMalletjavadoc
NoopTransducerTrainerA 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.Classcc.mallet.fstMalletjavadoc
NormalFactorMultivariate Gaussian factor.Classcc.mallet.grmm.typesMalletjavadoc
NormalizedDotProductMetric 1 - [ / sqrt (*)] aka 1 - cosine similarityClasscc.mallet.typesMalletjavadoc
NPTopicModelA non-parametric topic model that uses the "minimal path" assumption to reduce bookkeeping.Classcc.mallet.topicsMalletjavadoc

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NullLabelObject that carries a LabelAlphabet.Classcc.mallet.typesMalletjavadoc
OffsetConjunctionsClasscc.mallet.pipe.tsfMalletjavadoc
OffsetFeatureConjunctionSee Also:Serialized FormConstructor SummaryOffsetFeatureConjunction(java.Classcc.mallet.pipe.tsfMalletjavadoc
OffsetPropertyConjunctionsClasscc.mallet.pipe.tsfMalletjavadoc
OneLabelGEConstraintsA set of constraints on distributions over single labels conditioned on the presence of input features.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
OneLabelKLGEConstraintsA set of constraints on distributions over consecutive labels conditioned an input features.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
OneLabelL2GEConstraintsA set of constraints on distributions over consecutive labels conditioned an input features.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
OneLabelL2IndPRConstraintsA set of constraints on individual input feature label pairs.Classcc.mallet.fst.semi_supervised.pr.constraintsMalletjavadoc
OneLabelL2PRConstraintsA set of constraints on distributions over single labels conditioned on the presence of input features.Classcc.mallet.fst.semi_supervised.pr.constraintsMalletjavadoc
OneLabelL2RangeGEConstraintsA set of constraints on individual input feature label pairs.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
OptimizableInterfacecc.mallet.optimizeMalletjavadoc
OptimizableCollectionClasscc.mallet.optimizeMalletjavadoc
OptimizationExceptionGeneral exception thrown by optimization algorithms when there is an optimization-specific problem.Classcc.mallet.optimizeMalletjavadoc
OptimizerInterfacecc.mallet.optimizeMalletjavadoc
OptimizerEvaluatorCallback interface that allows optimizer clients to perform some operation after every iteration.Interfacecc.mallet.optimizeMalletjavadoc
OrthantWiseLimitedMemoryBFGS optimizing convex L1-regularized objectives.Classcc.mallet.optimizeMalletjavadoc
PagedInstanceListAn InstanceList which avoids OutOfMemoryErrors by saving Instances to disk when there is not enough memory to create a newClasscc.mallet.typesMalletjavadoc
PairF1EvaluatorEvaluates two clustering using pairwise comparisons.Classcc.mallet.cluster.evaluateMalletjavadoc
PairSampleIteratorSample pairs of Instances.Classcc.mallet.cluster.iteratorMalletjavadoc
PairwiseEvaluatorUses a Classifier over pairs of Instances to score Neighbor.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
PairwiseMatrix2-D upper-triangular matrix.Classcc.mallet.cluster.utilMalletjavadoc
PairwiseScorerFor 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.Classcc.mallet.cluster.clustering_scorerMalletjavadoc
PAM4LFour Level Pachinko Allocation with MLE learning, based on Andrew's Latent Dirichlet Allocation.Classcc.mallet.topicsMalletjavadoc
ParallelTopicModelSimple parallel threaded implementation of LDA, following Newman, Asuncion, Smyth and Welling, Distributed Algorithms for Topic ModelsClasscc.mallet.topicsMalletjavadoc
ParameterizedFactorA factor that supports taking derivatives with respect to its continuous variables.Interfacecc.mallet.grmm.typesMalletjavadoc

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ParenGroupIteratorIterator that takes a Reader, breaks up the input into top-level parenthesized expressions.Classcc.mallet.pipe.iteratorMalletjavadoc
ParentChildGBPCreated: May 27, 2005Version:$Id: ParentChildGBP.Classcc.mallet.grmm.inference.gbpMalletjavadoc
PartiallyRankedFeatureVectorClasscc.mallet.typesMalletjavadoc
PatternMatchIteratorIterates over matching regular expresions.Classcc.mallet.pipe.iteratorMalletjavadoc
PerClassAccuracyEvaluatorDetermines the precision, recall and F1 on a per-class basis.Classcc.mallet.fstMalletjavadoc
PerDocumentF1EvaluatorCreated: Oct 8, 2004Version:$Id: PerDocumentF1Evaluator.Classcc.mallet.extractMalletjavadoc
PerFieldF1EvaluatorCreated: Oct 8, 2004Version:$Id: PerFieldF1Evaluator.Classcc.mallet.extractMalletjavadoc
PerLabelFeatureCountsClasscc.mallet.typesMalletjavadoc
PerLabelInfoGainClasscc.mallet.typesMalletjavadoc
PiecewiseACRFTrainerCreated: Mar 15, 2005Version:$Id: CliquewiseACRFTrainer.Classcc.mallet.grmm.learningMalletjavadoc
PipeThe abstract superclass of all Pipes, which transform one data type to another.Classcc.mallet.pipeMalletjavadoc
PipedInstanceWithConfidenceHelper class to store confidence of an Instance.Classcc.mallet.fst.confidenceMalletjavadoc
PipedIteratorCreated: Mar 3, 2005Version:$Id: PipedIterator.Classcc.mallet.grmm.utilMalletjavadoc
PipeExceptionSee Also:Serialized FormConstructor SummaryPipeException()Classcc.mallet.pipeMalletjavadoc
PipeExtendedIteratorProvides a PipeExtendedIterator that applies a Pipe to the Instances returned by a given PipeExtendedIterator,Classcc.mallet.pipe.iteratorMalletjavadoc
PipeInputIteratorInterface for classes that generate instances.Classcc.mallet.pipe.iteratorMalletjavadoc
PipeUtilsCreated: Aug 28, 2005Version:$Id: PipeUtils.Classcc.mallet.pipeMalletjavadoc
PlainLogFormatterClasscc.mallet.utilMalletjavadoc
PolylingualTopicModelLatent Dirichlet Allocation for loosely parallel corpora in arbitrary languagesAuthor:David Mimno, Andrew McCallumSee Also:Serialized FormClasscc.mallet.topicsMalletjavadoc
PottsTableFactorA factor over a continuous variable alpha and discrete variables x such that phi(xClasscc.mallet.grmm.typesMalletjavadoc
PRAuxClassifierAuxiliary model (q) for E-step/I-projection in PR training.Classcc.mallet.classifyMalletjavadoc
PRAuxClassifierOptimizableOptimizable for training auxiliary model (q) for E-step/I-projection in PR training.Classcc.mallet.classifyMalletjavadoc
PRAuxiliaryModelAuxiliar model (q) for E-step/I-projection in Posterior Regularization (PR).Classcc.mallet.fst.semi_supervised.prMalletjavadoc
PRConstraintInterface for PR constraint that considers either one or two states.Interfacecc.mallet.fst.semi_supervised.pr.constraintsMalletjavadoc
PrintInputPrint the data field of each instance.Classcc.mallet.pipeMalletjavadoc

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PrintInputAndTargetPrint the data and target fields of each instance.Classcc.mallet.pipeMalletjavadoc
PrintTokenSequenceFeaturesPrint 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.Classcc.mallet.pipeMalletjavadoc
PrintUtilitiesA simple utility class that lets you very simply print an arbitrary component.Classcc.mallet.utilMalletjavadoc
PriorityQueueCreated by IntelliJ IDEA.Interfacecc.mallet.util.searchMalletjavadoc
ProgressMessageLogFormatterFormat ProgressMessages destined for screen.Classcc.mallet.utilMalletjavadoc
ProgressMessageLogRecordA log message that is to be written in place (no newline) if the message is headed for the user's terminal.Classcc.mallet.utilMalletjavadoc
PropertyHolderInterfacecc.mallet.typesMalletjavadoc
PropertyListClasscc.mallet.utilMalletjavadoc
PseudolikelihoodACRFTrainerCreated: Mar 15, 2005Version:$Id: PseudolikelihoodACRFTrainer.Classcc.mallet.grmm.learningMalletjavadoc
PunctuationIgnoringComparatorCreated: Nov 23, 2004Version:$Id: PunctuationIgnoringComparator.Classcc.mallet.extractMalletjavadoc
PwplACRFTrainer NB The wrong-wrong options are for an extension that we tried that never quite worked Created: Mar 15, 2005Classcc.mallet.grmm.learningMalletjavadoc
QBCSequenceConfidenceEstimatorEstimates the confidence of an entire sequence by the "disagreement" among a committee of CRFs.Classcc.mallet.fst.confidenceMalletjavadoc
QueueElementCreated by IntelliJ IDEA.Interfacecc.mallet.util.searchMalletjavadoc
RandomConfidenceEstimatorRandomly assigns values between 0-1 to the confidence of a Segment.Classcc.mallet.fst.confidenceMalletjavadoc
RandomEvaluatorRandomly scores Neighbors.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
RandomFeatureVectorIteratorClasscc.mallet.pipe.iteratorMalletjavadoc
RandomGraphsUtility class for generating many useful kinds of random graphical Created: Mar 26, 2005Classcc.mallet.grmm.inferenceMalletjavadoc
RandomsSee Also:Serialized FormConstructor SummaryRandoms()Classcc.mallet.utilMalletjavadoc
RandomSequenceConfidenceEstimatorEstimates the confidence of an entire sequence randomly.Classcc.mallet.fst.confidenceMalletjavadoc
RandomTokenSequenceIteratorClasscc.mallet.pipe.iteratorMalletjavadoc
RankedFeatureVectorClasscc.mallet.typesMalletjavadoc
RankingNeighborEvaluatorUses a Classifier that scores an array of Neighbors.Classcc.mallet.cluster.neighbor_evaluatorMalletjavadoc
RankMaxEntRank Maximum Entropy classifier.Classcc.mallet.classifyMalletjavadoc
RankMaxEntTrainerThe trainer for a RankMaxEnt classifier.Classcc.mallet.classifyMalletjavadoc
RecordClasscc.mallet.clusterMalletjavadoc

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RecordCreated: Oct 12, 2004Version:$Id: Record.Classcc.mallet.extractMalletjavadoc
RegexFieldCleanerA field cleaner that removes all occurrences of a given regex.Classcc.mallet.extractMalletjavadoc
RegexFileFilterConstructor SummaryRegexFileFilter(java.Classcc.mallet.utilMalletjavadoc
RegexMatchesSee Also:Serialized FormConstructor SummaryRegexMatches(java.Classcc.mallet.pipe.tsfMalletjavadoc
RegionGraphGeneratorInterface for strategies that construct region graphs from arbitrary graphical models.Interfacecc.mallet.grmm.inference.gbpMalletjavadoc
RememberTokenizationPipeCreated: Mar 17, 2005Version:$Id: RememberTokenizationPipe.Classcc.mallet.grmm.utilMalletjavadoc
ResidualBPA dynamic BP schedule where The loopy belief propagation algorithm for approximate inference inClasscc.mallet.grmm.inferenceMalletjavadoc
ROCDataTracks ROC data for instances in Trial results.Classcc.mallet.typesMalletjavadoc
SamplerInterface for methods from sampling the distribution given by a graphical Created: Mar 28, 2005Interfacecc.mallet.grmm.inferenceMalletjavadoc
SamplingInferencerApproximate inferencer for graphical models using sampling.Classcc.mallet.grmm.inferenceMalletjavadoc
SaveDataInSourceSet the source field of each instance to its data field.Classcc.mallet.pipeMalletjavadoc
SearchNodeCreated by IntelliJ IDEA.Classcc.mallet.util.searchMalletjavadoc
SearchStateCreated by IntelliJ IDEA.Interfacecc.mallet.util.searchMalletjavadoc
SegmentRepresents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extractedClasscc.mallet.fstMalletjavadoc
SegmentationEvaluatorFields inherited from class cc.Classcc.mallet.fstMalletjavadoc
SegmentIteratorIterates over Segments extracted by a Transducer for some InstanceList.Classcc.mallet.pipe.iteratorMalletjavadoc
SegmentProductConfidenceEstimatorEstimates the confidence of an entire sequence by combining the output of a segment confidence estimator for each segment.Classcc.mallet.fst.confidenceMalletjavadoc
SelectiveFileLineIteratorVery similar to the SimpleFileLineIterator, but skips lines that match a regular expression.Classcc.mallet.pipe.iteratorMalletjavadoc
SelectiveSGML2TokenSequenceSimilar to SGML2TokenSequence, except that only the tags listed in allowedTags are converted to Labels.Classcc.mallet.pipeMalletjavadoc
SelfTransitionGEConstraintGE Constraint on the probability of self-transitions in the FST.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
SequenceInterfacecc.mallet.typesMalletjavadoc
SequenceConfidenceInstanceStores a Sequence and a PropertyList, used when extracting features from a Sequence in a pipe for confidence predictionClasscc.mallet.fst.confidenceMalletjavadoc
SequencePairClasscc.mallet.typesMalletjavadoc
SequencePairAlignmentClasscc.mallet.typesMalletjavadoc
SequencePrintingPipeCreated: Jul 6, 2005Version:$Id: SequencePrintingPipe.Classcc.mallet.pipe.tsfMalletjavadoc

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SequencesUtility methods for cc.Classcc.mallet.utilMalletjavadoc
SerialPipesConvert an instance through a sequence of pipes.Classcc.mallet.pipeMalletjavadoc
SGML2TokenSequenceConverts 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.Classcc.mallet.pipeMalletjavadoc
ShallowTransducerTrainerWraps around an already trained Transducer model.Classcc.mallet.fstMalletjavadoc
SimilarTokensTemplateTemplate for adding "skip edges" as inVersion:$Id: SimilarTokensTemplate.Classcc.mallet.grmm.learning.templatesMalletjavadoc
SimpleCrfExample$Id: SimpleCrfExample.Classcc.mallet.grmm.examplesMalletjavadoc
SimpleFactorExampleA simple example to demonstrate the row-major indexing of potential values.Classcc.mallet.grmm.examplesMalletjavadoc
SimpleFileLineIteratorConstructor SummarySimpleFileLineIterator(java.Classcc.mallet.pipe.iteratorMalletjavadoc
SimpleGraphExampleCreated: Aug 13, 2004Version:$Id: SimpleGraphExample.Classcc.mallet.grmm.examplesMalletjavadoc
SimpleLDAA simple implementation of Latent Dirichlet Allocation using Gibbs sampling.Classcc.mallet.topicsMalletjavadoc
SimpleTaggerThis class's main method trains, tests, or runs a generic CRF-based Training and test files consist of blocks of lines, one block for each instance, Classcc.mallet.fstMalletjavadoc
SimpleTaggerSentence2StringTokenizationThis extends SimpleTaggerSentence2TokenSequence to use {Slink StringTokenizations} for use with the extract package.Classcc.mallet.pipeMalletjavadoc
SimpleTaggerSentence2TokenSequenceConverts an external encoding of a sequence of elements with binary features to a TokenSequence.Classcc.mallet.pipeMalletjavadoc
SimpleTaggerWithConstraintsVersion of SimpleTagger that trains CRFs with expectation constraints rather than labeled data.Classcc.mallet.fst.semi_supervised.tuiMalletjavadoc
SimpleTokenizerA simple unicode tokenizer that accepts sequences of letters See Also:Serialized FormClasscc.mallet.pipeMalletjavadoc
SingleInstanceIteratorClasscc.mallet.typesMalletjavadoc
SkeletonFactorA subclass of Factor in which all operations throw an UnsupportedOperationException.Classcc.mallet.grmm.typesMalletjavadoc
SliceLabelsSequence Created: Fri Jan 02 23:27:04 2004Version:1.Classcc.mallet.grmm.utilMalletjavadoc
SourceLocation2TokenSequenceRead from File or BufferedRead in the data field and produce a TokenSequence.Classcc.mallet.pipeMalletjavadoc
SpanA sub-section of a document, either linear or two-dimensional.Interfacecc.mallet.extractMalletjavadoc
SparseMatrixn number of dimensions.Classcc.mallet.typesMalletjavadoc
SparseMessageSenderCreated: Jun 1, 2005Version:$Id: SparseMessageSender.Classcc.mallet.grmm.inference.gbpMalletjavadoc
SparseVectorA vector that allocates memory only for non-zero values.Classcc.mallet.typesMalletjavadoc
StateLabelMapMaps states in the lattice to labels.Classcc.mallet.fst.semi_supervisedMalletjavadoc
StatFunctionsClasscc.mallet.utilMalletjavadoc

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StochasticMetaAscentClasscc.mallet.optimizeMalletjavadoc
StringAddNewLineDelimiterPipe that can adds special text between lines to explicitly represent line breaks.Classcc.mallet.pipeMalletjavadoc
StringArrayIteratorConstructor SummaryStringArrayIterator(java.Classcc.mallet.pipe.iteratorMalletjavadoc
StringEditFeatureVectorSequenceClasscc.mallet.typesMalletjavadoc
StringEditVectorSee Also:Serialized FormConstructor SummaryStringEditVector()Classcc.mallet.typesMalletjavadoc
StringKernelComputes a similarity metric between two strings, based on counts of common subsequences of characters.Classcc.mallet.typesMalletjavadoc
StringList2FeatureSequenceConvert a list of strings into a feature sequenceSee Also:Serialized FormClasscc.mallet.pipeMalletjavadoc
StringsStatic utility methods for StringsConstructor SummaryStrings()Classcc.mallet.utilMalletjavadoc
StringSpanA sub-section of a linear string.Classcc.mallet.extractMalletjavadoc
StringTokenizationSee Also:Serialized FormFields inherited from class java.Classcc.mallet.extractMalletjavadoc
SumLatticeInterface to perform forward-backward during training of a transducer.Interfacecc.mallet.fstMalletjavadoc
SumLatticeBeamClasscc.mallet.fstMalletjavadoc
SumLatticeConstrainedNested Class SummaryNested classes/interfaces inherited from class cc.Classcc.mallet.fstMalletjavadoc
SumLatticeDefaultClasscc.mallet.fstMalletjavadoc
SumLatticeDefaultCachedDotClasscc.mallet.fst.semi_supervised.prMalletjavadoc
SumLatticeFactoryProvides factory methods to create inference engine for training a transducer.Classcc.mallet.fstMalletjavadoc
SumLatticeKLLattice for M-step/M-projection in PR.Classcc.mallet.fst.semi_supervised.prMalletjavadoc
SumLatticePRLattice for E-step/I-projection in PR.Classcc.mallet.fst.semi_supervised.prMalletjavadoc
SumLatticeScalingClasscc.mallet.fstMalletjavadoc
SvmLight2ClassifyCommand line tool for classifying a sequence of instances directly from text input, without creating an instance list.Classcc.mallet.classify.tuiMalletjavadoc
SvmLight2FeatureVectorAndLabelThis Pipe converts a line in SVMLight format to a Mallet instance with FeatureVector data and Classcc.mallet.pipeMalletjavadoc
SvmLight2VectorsCommand line import tool for loading a sequence of instances from an SVMLight feature-value pair file, with one instance Classcc.mallet.classify.tuiMalletjavadoc
TableFactorCreated: Jan 4, 2006Version:$Id: TableFactor.Classcc.mallet.grmm.typesMalletjavadoc
Target2BIOFormatCreates a LabelSequence out of a TokenSequence that is the target of an Instance.Classcc.mallet.pipe.tsfMalletjavadoc
Target2FeatureSequenceConvert a token sequence in the target field into a feature sequence in the target field.Classcc.mallet.pipeMalletjavadoc

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Target2LabelConvert object in the target field into a label in the target field.Classcc.mallet.pipeMalletjavadoc
Target2LabelSequenceconvert a token sequence in the target field into a label sequence in the target field.Classcc.mallet.pipeMalletjavadoc
TargetRememberLastLabelFor each position in the target, remember the last non-background label.Classcc.mallet.pipeMalletjavadoc
TargetStringToFeaturesSee Also:Serialized FormConstructor SummaryTargetStringToFeatures()Classcc.mallet.pipeMalletjavadoc
TestAbstractBeliefPropagation$Id: TestAbstractBeliefPropagation.Classcc.mallet.grmm.testMalletjavadoc
TestAlphabetCreated: Nov 24, 2004Version:$Id: TestAlphabet.Classcc.mallet.types.testsMalletjavadoc
TestAssignmentCreated: Aug 11, 2004Version:$Id: TestAssignment.Classcc.mallet.grmm.testMalletjavadoc
TestAssignmentIteratorCreated: Aug 11, 2004Version:$Id: TestAssignmentIterator.Classcc.mallet.grmm.testMalletjavadoc
TestAStarCreated by IntelliJ IDEA.Classcc.mallet.util.testsMalletjavadoc
TestAugmentableFeatureVectorCreated: Dec 30, 2004Version:$Id: TestAugmentableFeatureVector.Classcc.mallet.types.testsMalletjavadoc
TestBetaFactor$Id: TestBetaFactor.Classcc.mallet.grmm.testMalletjavadoc
TestBitVarSetCreated: Aug 22, 2005Version:$Id: TestBitVarSet.Classcc.mallet.grmm.testMalletjavadoc
TestClassifiersConstructor SummaryTestClassifiers(java.Classcc.mallet.classify.testsMalletjavadoc
TestClusteringEvaluatorsExamples drawn from Luo, "On Coreference Resolution Performance Metrics", HLT 2005.Classcc.mallet.cluster.evaluate.testsMalletjavadoc
TestCRFTests for CRF training.Classcc.mallet.fst.testsMalletjavadoc
TestCRFPipeConstructor SummaryTestCRFPipe(java.Classcc.mallet.examplesMalletjavadoc
TestDirectedModelCreated: Mar 28, 2005Version:$Id: TestDirectedModel.Classcc.mallet.grmm.testMalletjavadoc
TestDocumentExtractionCreated: Oct 12, 2004Version:$Id: TestDocumentExtraction.Classcc.mallet.extract.testMalletjavadoc
TestDocumentViewerCreated: Mar 30, 2005Version:$Id: TestDocumentViewer.Classcc.mallet.extract.testMalletjavadoc
TestFactorGraphCreated: Mar 17, 2005Version:$Id: TestFactorGraph.Classcc.mallet.grmm.testMalletjavadoc
TestFactorsCreated: Mar 28, 2005Version:$Id: TestFactors.Classcc.mallet.grmm.testMalletjavadoc
TestFeatureSequenceConstructor SummaryTestFeatureSequence(java.Classcc.mallet.types.testsMalletjavadoc
TestFeatureTransducerConstructor SummaryTestFeatureTransducer(java.Classcc.mallet.fst.testsMalletjavadoc
TestFeatureVectorConstructor SummaryTestFeatureVector(java.Classcc.mallet.types.testsMalletjavadoc
TestGenericAcrfData2TokenSequenceCreated: Sep 15, 2005Version:$Id: TestGenericAcrfData2TokenSequence.Classcc.mallet.grmm.testMalletjavadoc

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TestGibbsSampler$Id: TestGibbsSampler.Classcc.mallet.grmm.testMalletjavadoc
TestHashCliqueCreated: Aug 22, 2005Version:$Id: TestHashClique.Classcc.mallet.grmm.testMalletjavadoc
TestHashedSparseVectorConstructor SummaryTestHashedSparseVector(java.Classcc.mallet.types.testsMalletjavadoc
TestIndexedSparseVectorConstructor SummaryTestIndexedSparseVector(java.Classcc.mallet.types.testsMalletjavadoc
TestInferenceTorture tests of inference in GRMM.Classcc.mallet.grmm.testMalletjavadoc
TestInstanceListWeightsConstructor SummaryTestInstanceListWeights()Methods inherited from class java.Classcc.mallet.types.testsMalletjavadoc
TestInstancePipeClasscc.mallet.pipe.testsMalletjavadoc
TestIteratorsClasscc.mallet.cluster.iterator.testsMalletjavadoc
TestIteratorsUnit Test for PipeInputIterators Created: Thu Feb 26 14:27:15 2004Classcc.mallet.pipe.testsMalletjavadoc
TestLabelAlphabetCreated: Nov 24, 2004Version:$Id: TestLabelAlphabet.Classcc.mallet.types.testsMalletjavadoc
TestLabelsSequenceCreated: Sep 21, 2004Version:$Id: TestLabelsSequence.Classcc.mallet.types.testsMalletjavadoc
TestLabelVectorConstructor SummaryTestLabelVector(java.Classcc.mallet.types.testsMalletjavadoc
TestLatticeViewerCreated: Oct 31, 2004Version:$Id: TestLatticeViewer.Classcc.mallet.extract.testMalletjavadoc
TestListVarSetCreated: Aug 22, 2005Version:$Id: TestListVarSet.Classcc.mallet.grmm.testMalletjavadoc
TestLogTableFactorCreated: Aug 17, 2004Version:$Id: TestLogTableFactor.Classcc.mallet.grmm.testMalletjavadoc
TestMathsCreated: Oct 31, 2004Version:$Id: TestMaths.Classcc.mallet.util.testsMalletjavadoc
TestMatrixConstructor SummaryTestMatrix(java.Classcc.mallet.types.testsMalletjavadoc
TestMatrixnCreated: Aug 30, 2004Version:$Id: TestMatrixn.Classcc.mallet.types.testsMalletjavadoc
TestMaxEntTrainerConstructor SummaryTestMaxEntTrainer(java.Classcc.mallet.classify.testsMalletjavadoc
TestMEMMTests for MEMM training.Classcc.mallet.fst.testsMalletjavadoc
TestMIntInt2ObjectMapCreated: Dec 14, 2005Version:$Id: TestMIntInt2ObjectMap.Classcc.mallet.grmm.testMalletjavadoc
TestMultinomialConstructor SummaryTestMultinomial(java.Classcc.mallet.types.testsMalletjavadoc
TestNaiveBayesConstructor SummaryTestNaiveBayes(java.Classcc.mallet.classify.testsMalletjavadoc
TestNormalFactor$Id: TestNormalFactor.Classcc.mallet.grmm.testMalletjavadoc
TestOffsetConjunctionsConstructor SummaryTestOffsetConjunctions(java.Classcc.mallet.pipe.tsf.testsMalletjavadoc

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TestOffsetFeatureConjunctions$Id: TestOffsetFeatureConjunctions.Classcc.mallet.pipe.tsf.testsMalletjavadoc
TestOptimizableContains static methods for testing subclasses of Maximizable and Maximizable.Classcc.mallet.optimize.testsMalletjavadoc
TestOptimizerUnit Test for class TestMaximizer.Classcc.mallet.optimize.testsMalletjavadoc
TestPagedInstanceListCreated: Apr 19, 2005Version:$Id: TestPagedInstanceList.Classcc.mallet.types.testsMalletjavadoc
TestPatternMatchIteratorConstructor SummaryTestPatternMatchIterator(java.Classcc.mallet.pipe.iterator.testsMalletjavadoc
TestPerDocumentF1EvaluatorCreated: Nov 18, 2004Version:$Id: TestPerDocumentF1Evaluator.Classcc.mallet.extract.testMalletjavadoc
TestPipeUtilsCreated: Aug 28, 2005Version:$Id: TestPipeUtils.Classcc.mallet.pipe.testsMalletjavadoc
TestPottsFactor$Id: TestPottsFactor.Classcc.mallet.grmm.testMalletjavadoc
TestPriorityQueueCreated by IntelliJ IDEA.Classcc.mallet.util.testsMalletjavadoc
TestPropertyListConstructor SummaryTestPropertyList(java.Classcc.mallet.util.testsMalletjavadoc
TestRainbowStyleConstructor SummaryTestRainbowStyle(java.Classcc.mallet.pipe.testsMalletjavadoc
TestRandomCreated: Jan 19, 2005Version:$Id: TestRandom.Classcc.mallet.util.testsMalletjavadoc
TestRandomGraphsCreated: Mar 26, 2005Version:$Id: TestRandomGraphs.Classcc.mallet.grmm.testMalletjavadoc
TestRankedFeatureVectorConstructor SummaryTestRankedFeatureVector(java.Classcc.mallet.types.testsMalletjavadoc
TestSequencePrintingPipeCreated: Jul 8, 2005Version:$Id: TestSequencePrintingPipe.Classcc.mallet.pipe.tsf.testsMalletjavadoc
TestSerializableStatic utility for testing serializable classes in MALLET.Classcc.mallet.types.testsMalletjavadoc
TestSGML2TokenSequenceClasscc.mallet.pipe.testsMalletjavadoc
TestSpacePipeUnit Test for class TestSpacePipe.Classcc.mallet.pipe.testsMalletjavadoc
TestSparseMatrixnCreated: Aug 30, 2004Version:$Id: TestSparseMatrixn.Classcc.mallet.types.testsMalletjavadoc
TestSparseVectorConstructor SummaryTestSparseVector(java.Classcc.mallet.types.testsMalletjavadoc
TestStaticParametersClasscc.mallet.classify.testsMalletjavadoc
TestStringsCreated: Jan 19, 2005Version:$Id: TestStrings.Classcc.mallet.util.testsMalletjavadoc
TestSumNegLogProb2Constructor SummaryTestSumNegLogProb2(java.Classcc.mallet.fst.testsMalletjavadoc
TestTableFactorCreated: Aug 17, 2004Version:$Id: TestTableFactor.Classcc.mallet.grmm.testMalletjavadoc
TestTokenConstructor SummaryTestToken(java.Classcc.mallet.types.testsMalletjavadoc

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TestTRP$Id: TestTRP.Classcc.mallet.grmm.testMalletjavadoc
TestUndirectedModelCreated: Mar 17, 2005Version:$Id: TestUndirectedModel.Classcc.mallet.grmm.testMalletjavadoc
TestUniformFactor$Id: TestUniformFactor.Classcc.mallet.grmm.testMalletjavadoc
TestUniNormalFactor$Id: TestUniNormalFactor.Classcc.mallet.grmm.testMalletjavadoc
Text2ClassifyCommand line tool for classifying a sequence of instances directly from text input, withoutClasscc.mallet.classify.tuiMalletjavadoc
Text2ClusteringsClasscc.mallet.cluster.tuiMalletjavadoc
Text2VectorsConvert document files into vectors (a persistent instance list).Classcc.mallet.classify.tuiMalletjavadoc
THashMultiMapVersion of THashMap where every key is mapped to a list of objects.Classcc.mallet.grmm.utilMalletjavadoc
ThreadedOptimizableAn adaptor for optimizables based on batch values/gradients.Classcc.mallet.fstMalletjavadoc
TimingA class for timing things.Classcc.mallet.utilMalletjavadoc
TokenA representation of a piece of text, usually a single word, to which we can attach properties.Classcc.mallet.typesMalletjavadoc
Token2FeatureVectorconvert the property list on a token into a feature vectorAuthor:Andrew McCallum mccallum@cs.Classcc.mallet.pipeMalletjavadoc
TokenAccuracyEvaluatorEvaluates a transducer model based on predictions of individual tokens.Classcc.mallet.fstMalletjavadoc
TokenFirstPositionSee Also:Serialized FormConstructor SummaryTokenFirstPosition()Classcc.mallet.pipe.tsfMalletjavadoc
TokenizationInterfacecc.mallet.extractMalletjavadoc
TokenizationFilterCreated: Nov 12, 2004Version:$Id: TokenizationFilter.Interfacecc.mallet.extractMalletjavadoc
TokenSequenceA representation of a piece of text, usually a single word, to which we can attach properties.Classcc.mallet.typesMalletjavadoc
TokenSequence2FeatureSequenceConvert the token sequence in the data field each instance to a feature sequence.Classcc.mallet.pipeMalletjavadoc
TokenSequence2FeatureSequenceWithBigramsConvert the token sequence in the data field of each instance to a feature sequence that preserves bigram information.Classcc.mallet.pipeMalletjavadoc
TokenSequence2FeatureVectorSequenceConvert the token sequence in the data field of each instance to a feature vector sequence.Classcc.mallet.pipeMalletjavadoc
TokenSequence2TokenInstancesSee Also:Serialized FormConstructor SummaryTokenSequence2TokenInstances()Classcc.mallet.pipeMalletjavadoc
TokenSequence2TokenizationHeuristically converts a simple token sequence into a Tokenization that can be used with all the extract package goodies.Classcc.mallet.extract.pipeMalletjavadoc
TokenSequenceDocHeaderSee Also:Serialized FormConstructor SummaryTokenSequenceDocHeader()Classcc.mallet.share.mccallum.nerMalletjavadoc
TokenSequenceLowercaseConvert the text in each token in the token sequence in the data field to lower case.Classcc.mallet.pipeMalletjavadoc
TokenSequenceMatchDataAndTargetRun a regular expression over the text of each token; replace the text with the substring matching one regex group; create a targetClasscc.mallet.pipeMalletjavadoc

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TokenSequenceNGramsConvert the token sequence in the data field to a token sequence of ngrams.Classcc.mallet.pipeMalletjavadoc
TokenSequenceParseFeatureStringConvert the string in each field Token.Classcc.mallet.pipeMalletjavadoc
TokenSequenceRemoveNonAlphaRemove tokens that contain non-alphabetic characters.Classcc.mallet.pipeMalletjavadoc
TokenSequenceRemoveStopwordsRemove tokens from the token sequence in the data field whose text is in the stopword list.Classcc.mallet.pipeMalletjavadoc
TokenTextSee Also:Serialized FormConstructor SummaryTokenText()Classcc.mallet.pipe.tsfMalletjavadoc
TokenTextCharNGramsSee Also:Serialized FormConstructor SummaryTokenTextCharNGrams()Classcc.mallet.pipe.tsfMalletjavadoc
TokenTextCharPrefixSee Also:Serialized FormConstructor SummaryTokenTextCharPrefix()Classcc.mallet.pipe.tsfMalletjavadoc
TokenTextCharSuffixSee Also:Serialized FormConstructor SummaryTokenTextCharSuffix()Classcc.mallet.pipe.tsfMalletjavadoc
TokenTextNGramsSee Also:Serialized FormConstructor SummaryTokenTextNGrams()Classcc.mallet.pipe.tsfMalletjavadoc
TopicalNGramsLike Latent Dirichlet Allocation, but with integrated phrase discovery.Classcc.mallet.topicsMalletjavadoc
TopicAssignmentThis class combines a sequence of observed features with a sequence of hidden "labels".Classcc.mallet.topicsMalletjavadoc
TopicInferencerClasscc.mallet.topicsMalletjavadoc
TopicModelClasscc.mallet.examplesMalletjavadoc
TopicModelDiagnosticsClasscc.mallet.topicsMalletjavadoc
TopicTrainerCreate a simple LDA topic model, with some reporting options.Classcc.mallet.topics.tuiMalletjavadoc
TrainCRFConstructor SummaryTrainCRF(java.Classcc.mallet.examplesMalletjavadoc
TrainHMMConstructor SummaryTrainHMM(java.Classcc.mallet.examplesMalletjavadoc
TransducerA base class for all sequence models, analogous to classify.Classcc.mallet.fstMalletjavadoc
TransducerConfidenceEstimatorAbstract class that estimates the confidence of a Segment extracted by a Transducer.Classcc.mallet.fst.confidenceMalletjavadoc
TransducerCorrectorInterface for transducerCorrectors, which correct a subset of the Segments produced by a Transducer.Interfacecc.mallet.fst.confidenceMalletjavadoc
TransducerEvaluatorAn abstract class to evaluate a transducer model.Classcc.mallet.fstMalletjavadoc
TransducerExtractionConfidenceEstimatorEstimates the confidence in the labeling of a LabeledSpan using a TransducerConfidenceEstimator.Classcc.mallet.extractMalletjavadoc
TransducerSequenceConfidenceEstimatorAbstract class that estimates the confidence of a Sequence extracted by a Transducer.Classcc.mallet.fst.confidenceMalletjavadoc
TransducerTrainerAn abstract class to train and evaluate a transducer model.Classcc.mallet.fstMalletjavadoc
TreeClass for arbitrary trees, based on implementation in OpenJGraph.Classcc.mallet.grmm.typesMalletjavadoc

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TreeBP in trees.Classcc.mallet.grmm.inferenceMalletjavadoc
TrialStores the results of classifying a collection of Instances, and provides many methods for evaluating the results.Classcc.mallet.classifyMalletjavadoc
TrieLexiconMembershipSee Also:Serialized FormConstructor SummaryTrieLexiconMembership(java.Classcc.mallet.pipe.tsfMalletjavadoc
TRP in general graphical models.Classcc.mallet.grmm.inferenceMalletjavadoc
TUIClasscc.mallet.share.mccallum.nerMalletjavadoc
TUIClasscc.mallet.share.weili.ner.enronMalletjavadoc
TwoLabelGEConstraintsA set of constraints on distributions over pairs of consecutive labels conditioned on the presence of input features.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
TwoLabelKLGEConstraintsA set of constraints on distributions over consecutive labels conditioned an input features.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
TwoLabelL2GEConstraintsA set of constraints on distributions over consecutive labels conditioned an input features.Classcc.mallet.fst.semi_supervised.constraintsMalletjavadoc
UndirectedGridA grid-shaped undirected graphical model.Classcc.mallet.grmm.typesMalletjavadoc
UndirectedModelClass for pairwise undirected graphical models, also known as pairwise Markov random fields.Classcc.mallet.grmm.typesMalletjavadoc
UniformFactor$Id: UniformFactor.Classcc.mallet.grmm.typesMalletjavadoc
UniNormalFactorUnivariate Gaussian factor.Classcc.mallet.grmm.typesMalletjavadoc
UnivariateClasscc.mallet.utilMalletjavadoc
UniverseA global mapping between variables and indices.Classcc.mallet.grmm.typesMalletjavadoc
UnlabeledFileIteratorAn iterator that generates instances from an initial directory or set of directories.Classcc.mallet.pipe.iteratorMalletjavadoc
UnmodifiableVarSetCreated: Dec 15, 2005Version:$Id: UnmodifiableVarSet.Classcc.mallet.grmm.typesMalletjavadoc
UriUtilsClasscc.mallet.utilMalletjavadoc
UtilsA bunch of static utilities useful for dealing with Inferencers.Classcc.mallet.grmm.inferenceMalletjavadoc
VariableClass for a discrete random variable in a graphical model.Classcc.mallet.grmm.typesMalletjavadoc
VariableEliminationThe variable elimination algorithm for inference in graphical Created: Mon Sep 22 17:34:00 2003Classcc.mallet.grmm.inferenceMalletjavadoc
VarSetInterface for classes that maintain a set of variables in a specified order.Interfacecc.mallet.grmm.typesMalletjavadoc
VectorInterfacecc.mallet.typesMalletjavadoc
Vectors2ClassifyClassify documents, run trials, print statistics from a vector file.Classcc.mallet.classify.tuiMalletjavadoc
Vectors2FeatureConstraintsCreate "feature constraints" from data for use in GE training.Classcc.mallet.classify.tuiMalletjavadoc

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Vectors2InfoDiagnostic facilities for a vector file.Classcc.mallet.classify.tuiMalletjavadoc
Vectors2TopicsPerform topic analysis in the style of LDA and its variants.Classcc.mallet.topics.tuiMalletjavadoc
Vectors2VectorsA command-line tool for manipulating InstanceLists.Classcc.mallet.classify.tuiMalletjavadoc
VectorStatsClasscc.mallet.utilMalletjavadoc
ViterbiConfidenceEstimatorEstimates the confidence of an entire sequence by the probability of the Viterbi path normalized by the probabliity of the entireClasscc.mallet.fst.confidenceMalletjavadoc
ViterbiRatioConfidenceEstimatorEstimates the confidence of an entire sequence by the ration of the probabilities of the first and second best Viterbi paths.Classcc.mallet.fst.confidenceMalletjavadoc
ViterbiWriterPrints the input instances along with the features and the true and predicted labels to a file.Classcc.mallet.fstMalletjavadoc
WinnowClassification methods of Winnow2 algorithm.Classcc.mallet.classifyMalletjavadoc
WinnowTrainerAn implementation of the training methods of a Winnow2 on-line classifier.Classcc.mallet.classifyMalletjavadoc
WordTransformationClasscc.mallet.share.weili.nerMalletjavadoc
WorkerRunnableA parallel topic model runnable task.Classcc.mallet.topicsMalletjavadoc

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