Search Java Classes and Packages
# Classes and Interfaces in #Mallet - 685 results found.
| Name | Description | Type | Package | Framework |
| AbstractBeliefPropagation | Abstract base class for umplementations of belief propagation for general factor graphs. | Class | cc.mallet.grmm.inference | Mallet |
| AbstractFactor | An Abstract class from which new Factor classes can be subclassed. | Class | cc.mallet.grmm.types | Mallet |
| AbstractInferencer | Abstract base class for inferencers. | Class | cc.mallet.grmm.inference | Mallet |
| AbstractMessageStrategy | Created: May 29, 2005Version:$Id: AbstractMessageStrategy. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| AbstractTableFactor | Class for a multivariate multinomial distribution. | Class | cc.mallet.grmm.types | Mallet |
| AccuracyCoverage | Methods for calculating and displaying the accuracy v. | Class | cc.mallet.classify.evaluate | Mallet |
| AccuracyCoverageEvaluator | Constructs Accuracy-coverage graph using confidence values to sort Fields. | Class | cc.mallet.extract | Mallet |
| AccuracyEvaluator | Accuracy of a clustering is (truePositive + trueNegative) / (numberPairwiseComparisons)Constructor SummaryAccuracyEvaluator() | Class | cc.mallet.cluster.evaluate | Mallet |
| ACRF | Class for Arbitrary CRFs. | Class | cc.mallet.grmm.learning | Mallet |
| ACRFEvaluator | Created: Sun Jan 25 23:28:45 2004Version:$Id: ACRFEvaluator. | Class | cc.mallet.grmm.learning | Mallet |
| ACRFExtractor | Created: Mar 1, 2005Version:$Id: ACRFExtractor. | Class | cc.mallet.grmm.learning.extract | Mallet |
| ACRFExtractorTrainer | Created: Mar 31, 2005Version:$Id: ACRFExtractorTrainer. | Class | cc.mallet.grmm.learning.extract | Mallet |
| AcrfExtractorTui | Class | cc.mallet.grmm.learning.extract | Mallet | |
| AcrfSerialEvaluator | Created: Aug 24, 2005Version:$Id: AcrfSerialEvaluator. | Class | cc.mallet.grmm.learning | Mallet |
| ACRFTrainer | $Id: ACRFTrainer. | Interface | cc.mallet.grmm.learning | Mallet |
| AdaBoost | Robert E. | Class | cc.mallet.classify | Mallet |
| AdaBoostM2 | Yoav Freund and Robert E. | Class | cc.mallet.classify | Mallet |
| AdaBoostM2Trainer | This version of AdaBoost can handle multi-class problems. | Class | cc.mallet.classify | Mallet |
| AdaBoostTrainer | This version of AdaBoost should be used only for binary classification. | Class | cc.mallet.classify | Mallet |
| Addable | Interface | cc.mallet.util | Mallet | |
| AddClassifierTokenPredictions | This pipe uses a Classifier to label each token (i. | Class | cc.mallet.pipe | Mallet |
| AgglomerativeNeighbor | A Neighbor created by merging two clusters of the originalSince:1. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| AGIS | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
| AllPairsIterator | Iterate over all pairs of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
| Alphabet | A mapping between integers and objects where the mapping in each direction is efficient. | Class | cc.mallet.types | Mallet |
| AlphabetCarrying | An interface for objects that contain one or more Alphabets. | Interface | cc.mallet.types | Mallet |
| AlphabetFactory | Class | cc.mallet.types | Mallet | |
| Array2FeatureVector | Converts a Java array of numerical types to a FeatureVector, where the Alphabet is the data array index wrapped in an Integer object. | Class | cc.mallet.pipe | Mallet |
| ArrayDataAndTargetIterator | Constructor SummaryArrayDataAndTargetIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
| ArrayIterator | Constructor SummaryArrayIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
| ArrayListSequence | See Also:Serialized FormFields inherited from class java. | Class | cc.mallet.types | Mallet |
| ArrayListUtils | Class | cc.mallet.util | Mallet | |
| ArraySequence | Class | cc.mallet.types | Mallet | |
| ArrayUtils | Static utility methods for arrays (like java. | Class | cc.mallet.util | Mallet |
| Assignment | An assignment to a bunch of variables. | Class | cc.mallet.grmm.types | Mallet |
| AssignmentIterator | Iterates over the assignments to a set of variables. | Interface | cc.mallet.grmm.types | Mallet |
| AStar | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
| AStarNode | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
| AStarState | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
| AugmentableFeatureVector | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
| AugmentableFeatureVectorAddConjunctions | Add specified conjunctions to each instance. | Class | cc.mallet.pipe | Mallet |
| AugmentableFeatureVectorLogScale | Given an AugmentableFeatureVector, set those values greater than or equal to 1 to log(value)+1. | Class | cc.mallet.pipe | Mallet |
| BackTrackLineSearch | Constructor SummaryBackTrackLineSearch(Optimizable. | Class | cc.mallet.optimize | Mallet |
| BaggingClassifier | Class | cc.mallet.classify | Mallet | |
| BaggingTrainer | Class | cc.mallet.classify | Mallet | |
| BalancedWinnow | Classification methods of BalancedWinnow algorithm. | Class | cc.mallet.classify | Mallet |
| BalancedWinnowTrainer | An implementation of the training methods of a BalancedWinnow on-line classifier. | Class | cc.mallet.classify | Mallet |
| BCubedEvaluator | Evaluate a Clustering using the B-Cubed evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
| BetaFactor | $Id: BetaFactor. | Class | cc.mallet.grmm.types | Mallet |
| BidirectionalIntObjectMap | A mapping between integers and objects where the mapping in each direction is efficient. | Class | cc.mallet.grmm.types | Mallet |
| BinaryUnaryFactor | A factor over a continuous variable theta and binary variables var. | Class | cc.mallet.grmm.types | Mallet |
| BIOTokenizationFilter | Created: Nov 12, 2004Version:$Id: BIOTokenizationFilter. | Class | cc.mallet.extract | Mallet |
| BIOTokenizationFilterWithTokenIndices | See Also:Serialized FormConstructor SummaryBIOTokenizationFilterWithTokenIndices() | Class | cc.mallet.extract | Mallet |
| BitVarSet | A clique that uses very little time and memory based on the flyweight pattern. | Class | cc.mallet.grmm.types | Mallet |
| BoltzmannPairFactor | A factor over a continuous variable theta and binary variables var. | Class | cc.mallet.grmm.types | Mallet |
| BoltzmannUnaryFactor | A factor over a continuous variable theta and binary variables var. | Class | cc.mallet.grmm.types | Mallet |
| Boostable | Interface | cc.mallet.classify | Mallet | |
| BPRegionGenerator | Created: May 30, 2005Version:$Id: BPRegionGenerator. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| BranchingPipe | A Pipe that works like a rule list. | Class | cc.mallet.pipe | Mallet |
| BruteForceInferencer | Computes the joint of a GraphicalModel by brute-force calculation. | Class | cc.mallet.grmm.inference | Mallet |
| BshInterpreter | Fields inherited from class bsh. | Class | cc.mallet.util | Mallet |
| BulkLoader | This class reads through a single file, breaking each line into data and (optional) name and label fields. | Class | cc.mallet.util | Mallet |
| C45 | A C4. | Class | cc.mallet.classify | Mallet |
| C45Trainer | A C4. | Class | cc.mallet.classify | Mallet |
| CachedDotTransitionIterator | TransitionIterator that caches dot products. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| CachedMetric | Stores a hash for each object being compared for efficient computation. | Interface | cc.mallet.types | Mallet |
| CacheStaleIndicator | Indicates when the value/gradient during training becomes stale. | Interface | cc.mallet.fst | Mallet |
| CachingOptimizable | Created: Aug 27, 2004Version:$Id: CachingOptimizable. | Class | cc.mallet.grmm.util | Mallet |
| Calo2Classify | Classify documents, run trials, print statistics from a vector file. | Class | cc.mallet.classify.tui | Mallet |
| ChainedInstanceIterator | Under development, and not sure we actually want to have a class list this. | Class | cc.mallet.types | Mallet |
| CharSequence2CharNGrams | Transform a character sequence into a token sequence of character N grams. | Class | cc.mallet.pipe | Mallet |
| CharSequence2TokenSequence | Pipe that tokenizes a character sequence. | Class | cc.mallet.pipe | Mallet |
| CharSequenceArray2TokenSequence | Transform an array of character Sequences into a token sequence. | Class | cc.mallet.pipe | Mallet |
| CharSequenceLexer | Class | cc.mallet.util | Mallet | |
| CharSequenceLowercase | Replace the data string with a lowercased version. | Class | cc.mallet.pipe | Mallet |
| CharSequenceRemoveHTML | This pipe removes HTML from a CharSequence. | Class | cc.mallet.pipe | Mallet |
| CharSequenceRemoveUUEncodedBlocks | Class | cc.mallet.pipe | Mallet | |
| CharSequenceReplace | Given a string, repeatedly look for matches of the regex, and replace the entire match with the given replacement string. | Class | cc.mallet.pipe | Mallet |
| CharSubsequence | Given a string, return only the portion of the string inside a regex parenthesized group. | Class | cc.mallet.pipe | Mallet |
| Classification | The result of classifying a single instance. | Class | cc.mallet.classify | Mallet |
| Classification2ConfidencePredictingFeatureVector | Pipe features from underlying classifier to the confidence prediction instance list | Class | cc.mallet.pipe | Mallet |
| Classifier | Abstract parent of all Classifiers. | Class | cc.mallet.classify | Mallet |
| Classifier2Info | Diagnostic facilities for a classifier. | Class | cc.mallet.classify.tui | Mallet |
| ClassifierAccuracyEvaluator | Class | cc.mallet.classify | Mallet | |
| ClassifierEnsemble | Classifer for an ensemble of classifers, combined with learned weights. | Class | cc.mallet.classify | Mallet |
| ClassifierEnsembleTrainer | Class | cc.mallet.classify | Mallet | |
| ClassifierEvaluator | Class | cc.mallet.classify | Mallet | |
| ClassifierTrainer | Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data. | Class | cc.mallet.classify | Mallet |
| ClassifyingNeighborEvaluator | A NeighborEvaluator that is backed by a Classifier. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| Clusterer | An abstract class for clustering a set of points. | Class | cc.mallet.cluster | Mallet |
| Clustering | Class | cc.mallet.cluster | Mallet | |
| ClusteringEvaluator | Evaluates a predicted Clustering against a true Clustering. | Class | cc.mallet.cluster.evaluate | Mallet |
| ClusteringEvaluators | A list of ClusteringEvaluators. | Class | cc.mallet.cluster.evaluate | Mallet |
| Clusterings | Class | cc.mallet.cluster | Mallet | |
| Clusterings2Clusterer | Class | cc.mallet.cluster.tui | Mallet | |
| Clusterings2Clusterings | Class | cc.mallet.cluster.tui | Mallet | |
| Clusterings2Info | Class | cc.mallet.cluster.tui | Mallet | |
| ClusteringScorer | Interface | cc.mallet.cluster.clustering_scorer | Mallet | |
| ClusterSampleIterator | Sample clusters of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
| ClusterUtils | Utility functions for Clusterings. | Class | cc.mallet.cluster.util | Mallet |
| ClusterVariationalRegionGenerator | Created: Jun 1, 2005Version:$Id: ClusterVariationalRegionGenerator. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| CollectionUtils | Created: Sun Jan 25 01:04:29 2004Version:$Id: CollectionUtils. | Class | cc.mallet.util | Mallet |
| ColorUtils | Utilities for dealing with RGB-style colors. | Class | cc.mallet.util | Mallet |
| CommandOption | Class | cc.mallet.util | Mallet | |
| ConcatenatedInstanceIterator | Constructor SummaryConcatenatedInstanceIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
| ConfidenceCorrectorEvaluator | Calculates the effectiveness of "constrained viterbi" in propagating corrections in one segment of a sequence to other | Class | cc.mallet.fst.confidence | Mallet |
| ConfidenceEvaluator | Class | cc.mallet.fst.confidence | Mallet | |
| ConfidencePredictingClassifier | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.classify | Mallet |
| ConfidencePredictingClassifierTrainer | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.classify | Mallet |
| ConfidenceTokenizationFilter | Created: Oct 26, 2005Author:Serialized Form | Class | cc.mallet.extract | Mallet |
| ConfusionMatrix | Calculates and prints confusion matrix, accuracy, and precision for a given clasification trial. | Class | cc.mallet.classify.evaluate | Mallet |
| ConjugateGradient | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
| ConllNer2003Sentence2TokenSequence | Reads a data file in CoNLL 2003 format, and makes some simple Unlike the version in mccallum. | Class | cc.mallet.share.casutton.ner | Mallet |
| ConllNer2003Sentence2TokenSequence | See Also:Serialized FormConstructor SummaryConllNer2003Sentence2TokenSequence() | Class | cc.mallet.share.mccallum.ner | Mallet |
| ConstantFactor | $Id: ConstantFactor. | Class | cc.mallet.grmm.types | Mallet |
| ConstantMatrix | Interface | cc.mallet.types | Mallet | |
| ConstrainedForwardBackwardConfidenceEstimator | Estimates the confidence of a Segment extracted by a Transducer by performing a "constrained lattice" calculation. | Class | cc.mallet.fst.confidence | Mallet |
| ConstrainedViterbiTransducerCorrector | Corrects a subset of the Segments produced by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
| ConstraintsOptimizableByPR | Optimizable for E-step/I-projection in Posterior Regularization (PR). | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| CountMatches | Class | cc.mallet.pipe.tsf | Mallet | |
| CountMatchesAlignedWithOffsets | See Also:Serialized FormConstructor SummaryCountMatchesAlignedWithOffsets(java. | Class | cc.mallet.pipe.tsf | Mallet |
| CountMatchesMatching | See Also:Serialized FormConstructor SummaryCountMatchesMatching(java. | Class | cc.mallet.pipe.tsf | Mallet |
| CPT | $Id: CPT. | Class | cc.mallet.grmm.types | Mallet |
| CRF | Represents a CRF model. | Class | cc.mallet.fst | Mallet |
| CRFCacheStaleIndicator | Indicates when the value/gradient becomes stale based on updates to CRF'sAuthor:Gaurav Chandalia | Class | cc.mallet.fst | Mallet |
| CRFExtractor | Created: Oct 12, 2004Version:$Id: CRFExtractor. | Class | cc.mallet.extract | Mallet |
| CRFOptimizableByBatchLabelLikelihood | easily parallelized. | Class | cc.mallet.fst | Mallet |
| CRFOptimizableByEntropyRegularization | A CRF objective function that is the entropy of the CRF's predictions on unlabeled data. | Class | cc.mallet.fst.semi_supervised | Mallet |
| CRFOptimizableByGE | Optimizable for CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF. | Class | cc.mallet.fst.semi_supervised | Mallet |
| CRFOptimizableByGradientValues | A CRF objective function that is the sum of multiple objective functions that implement Optimizable. | Class | cc.mallet.fst | Mallet |
| CRFOptimizableByKL | M-step/M-projection for PR. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| CRFOptimizableByLabelLikelihood | An objective function for CRFs that is the label likelihood plus a Gaussian or hyperbolic prior on parameters. | Class | cc.mallet.fst | Mallet |
| CRFTrainerByEntropyRegularization | A CRF trainer that maximizes the log-likelihood plus a weighted entropy regularization term on unlabeled | Class | cc.mallet.fst.semi_supervised | Mallet |
| CRFTrainerByGE | Trains a CRF using Generalized Expectation constraints that consider either a single label or a pair of labels of a linear chain CRF. | Class | cc.mallet.fst.semi_supervised | Mallet |
| CRFTrainerByL1LabelLikelihood | CRF trainer that implements L1-regularization. | Class | cc.mallet.fst | Mallet |
| CRFTrainerByLabelLikelihood | Unlike ClassifierTrainer, TransducerTrainer is not "stateless" between calls to train. | Class | cc.mallet.fst | Mallet |
| CRFTrainerByLikelihoodAndGE | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.fst.semi_supervised | Mallet |
| CRFTrainerByPR | Posterior regularization trainer. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| CRFTrainerByStochasticGradient | Trains CRF by stochastic gradient. | Class | cc.mallet.fst | Mallet |
| CRFTrainerByThreadedLabelLikelihood | Class | cc.mallet.fst | Mallet | |
| CRFTrainerByValueGradients | A CRF trainer that can combine multiple objective functions, each represented by a Optmizable. | Class | cc.mallet.fst | Mallet |
| CRFWriter | Saves a trained model to specified filename. | Class | cc.mallet.fst | Mallet |
| CrossTemplate1 | $Id: CrossTemplate1. | Class | cc.mallet.grmm.examples | Mallet |
| CrossValidationIterator | An iterator which splits an InstanceList into n-folds and iterates over the folds for use in n-fold cross-validation. | Class | cc.mallet.types | Mallet |
| CSIntInt2ObjectMultiMap | A map that maps (int, int) --> object, where each (int,int) key is allowed to map to multiple objects. | Class | cc.mallet.grmm.util | Mallet |
| Csv2Array | Converts a string of comma separated values to an array. | Class | cc.mallet.pipe | Mallet |
| Csv2Classify | Command line tool for classifying a sequence of instances directly from text input, without | Class | cc.mallet.classify.tui | Mallet |
| Csv2FeatureVector | Converts a string of the form feature_1:val_1 feature_2:val_2 . | Class | cc.mallet.pipe | Mallet |
| Csv2Vectors | Command line import tool for loading a sequence of instances from a single file, with one instance | Class | cc.mallet.classify.tui | Mallet |
| CsvIterator | This iterator, perhaps more properly called a Line Pattern Iterator, reads through a file and returns one instance per line, | Class | cc.mallet.pipe.iterator | Mallet |
| DecisionTree | Decision Tree classifier. | Class | cc.mallet.classify | Mallet |
| DecisionTreeTrainer | A decision tree learner, roughly ID3, but only to a fixed given depth in all branches. | Class | cc.mallet.classify | Mallet |
| DefaultAcrfTrainer | Class for training ACRFs. | Class | cc.mallet.grmm.learning | Mallet |
| DefaultTokenizationFilter | Created: Nov 12, 2004Version:$Id: DefaultTokenizationFilter. | Class | cc.mallet.extract | Mallet |
| DenseMatrix | Class | cc.mallet.types | Mallet | |
| DenseVector | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
| DirectedModel | Class for directed graphical models. | Class | cc.mallet.grmm.types | Mallet |
| Directory2FileIterator | Convert a File object representing a directory into a FileIterator which iterates over files in the directory matching a pattern and which extracts | Class | cc.mallet.pipe | Mallet |
| DirectoryFilter | Class | cc.mallet.util | Mallet | |
| Dirichlet | Various useful functions related to Dirichlet distributions. | Class | cc.mallet.types | Mallet |
| DiscreteFactor | $Id: DiscreteFactor. | Interface | cc.mallet.grmm.types | Mallet |
| DMRLoader | This class loads data into the format for the MALLET Dirichlet-multinomial regression (DMR). | Class | cc.mallet.topics.tui | Mallet |
| DMROptimizable | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.topics | Mallet |
| DMRTopicModel | Class | cc.mallet.topics | Mallet | |
| DocumentClassifier | Class | cc.mallet.classify.examples | Mallet | |
| DocumentExtraction | Created: Oct 12, 2004Version:$Id: DocumentExtraction. | Class | cc.mallet.extract | Mallet |
| DocumentLengths | Class | cc.mallet.util | Mallet | |
| DocumentViewer | Diagnosis class that outputs HTML pages that allows you to view errors on a more global per-instance basis. | Class | cc.mallet.extract | Mallet |
| DoubleList | See Also:Serialized FormConstructor SummaryDoubleList() | Class | cc.mallet.util | Mallet |
| EmptyInstanceIterator | Constructor SummaryEmptyInstanceIterator()Methods inherited from class java. | Class | cc.mallet.pipe.iterator | Mallet |
| EnronMessage2TokenSequence | Class | cc.mallet.share.weili.ner.enron | Mallet | |
| EntropyLattice | Runs subsequence constrained forward-backward to compute the entropy of label Gideon Mann, Andrew McCallum | Class | cc.mallet.fst.semi_supervised | Mallet |
| EvaluateTopics | Class | cc.mallet.topics.tui | Mallet | |
| ExactMatchComparator | Created: Nov 23, 2004Version:$Id: ExactMatchComparator. | Class | cc.mallet.extract | Mallet |
| ExactSampler | Computes an exact sample from the distribution of a given factor graph by forming Created: Nov 9, 2005 | Class | cc.mallet.grmm.inference | Mallet |
| Examples | A class to demonstrate the functionality of the JWNL package. | Class | cc.mallet.util.resources.wn | Mallet |
| ExpGain | Class | cc.mallet.types | Mallet | |
| Extraction | The results of doing information extraction. | Class | cc.mallet.extract | Mallet |
| ExtractionConfidenceEstimator | Estimates the confidence in the labeling of a LabeledSpan. | Class | cc.mallet.extract | Mallet |
| ExtractionEvaluator | Created: Oct 8, 2004Version:$Id: ExtractionEvaluator. | Interface | cc.mallet.extract | Mallet |
| Extractor | Generic interface for objects that do information extraction. | Interface | cc.mallet.extract | Mallet |
| Factor | Interface for multivariate discrete probability distributions. | Interface | cc.mallet.grmm.types | Mallet |
| FactorGraph | Class for undirected graphical models. | Class | cc.mallet.grmm.types | Mallet |
| FactorizedRegion | A more space-efficient Region class that doesn't maintain a global factor over all assignments to the region. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| Factors | A static utility class containing utility methods for dealing with factors, especially TableFactor objects. | Class | cc.mallet.grmm.types | Mallet |
| FeatureConjunction | Class | cc.mallet.types | Mallet | |
| FeatureConstraintUtil | Utility functions for creating feature constraints that can be used with GE training. | Class | cc.mallet.classify | Mallet |
| FeatureCounter | Efficient, compact, incremental counting of features in an alphabet. | Class | cc.mallet.types | Mallet |
| FeatureCounter | Class | cc.mallet.util | Mallet | |
| FeatureCountPipe | Pruning low-count features can be a good way to save memory and computation. | Class | cc.mallet.pipe | Mallet |
| FeatureCounts | Class | cc.mallet.types | Mallet | |
| FeatureDocFreqPipe | Pruning low-count features can be a good way to save memory and computation. | Class | cc.mallet.pipe | Mallet |
| FeatureInducer | See Also:Serialized FormConstructor SummaryFeatureInducer(RankedFeatureVector. | Class | cc.mallet.types | Mallet |
| FeatureSelectingClassifierTrainer | Adaptor for adding feature selection to a classifier trainer. | Class | cc.mallet.classify | Mallet |
| FeatureSelection | Class | cc.mallet.types | Mallet | |
| FeatureSelector | Constructor SummaryFeatureSelector(RankedFeatureVector. | Class | cc.mallet.types | Mallet |
| FeatureSequence | An implementation of Sequence that ensures that every Object in the sequence has the same class. | Class | cc.mallet.types | Mallet |
| FeatureSequence2AugmentableFeatureVector | Convert the data field from a feature sequence to an augmentable feature vector. | Class | cc.mallet.pipe | Mallet |
| FeatureSequence2FeatureVector | Convert the data field from a feature sequence to a feature vector. | Class | cc.mallet.pipe | Mallet |
| FeatureSequenceConvolution | Convert Feature sequenceSee Also:Serialized FormConstructor SummaryFeatureSequenceConvolution() | Class | cc.mallet.pipe | Mallet |
| FeatureSequenceWithBigrams | A FeatureSequence with a parallel record of bigrams, kept in a separate dictionaryAuthor:Andrew McCallumSee Also:Serialized Form | Class | cc.mallet.types | Mallet |
| FeaturesInWindow | See Also:Serialized FormConstructor SummaryFeaturesInWindow(java. | Class | cc.mallet.pipe.tsf | Mallet |
| FeaturesOfFirstMention | See Also:Serialized FormConstructor SummaryFeaturesOfFirstMention(java. | Class | cc.mallet.pipe.tsf | Mallet |
| FeatureTransducer | Class | cc.mallet.fst | Mallet | |
| FeatureValueString2FeatureVector | See Also:Serialized FormConstructor SummaryFeatureValueString2FeatureVector() | Class | cc.mallet.pipe | Mallet |
| FeatureVector | A subset of an Alphabet in which each element of the subset has an associated value. | Class | cc.mallet.types | Mallet |
| FeatureVectorConjunctions | Include in the FeatureVector conjunctions of all its features. | Class | cc.mallet.pipe | Mallet |
| FeatureVectorSequence | Class | cc.mallet.types | Mallet | |
| FeatureVectorSequence2FeatureVectors | Given instances with a FeatureVectorSequence in the data field, break up the sequence into the individual FeatureVectors, producing one FeatureVector per Instance. | Class | cc.mallet.pipe | Mallet |
| FeatureWindow | Adds all features of tokens in the window to the center token. | Class | cc.mallet.share.upenn.ner | Mallet |
| Field | Created: Oct 12, 2004Version:$Id: Field. | Class | cc.mallet.extract | Mallet |
| FieldCleaner | Interface for functions that are used to clean up field values after extraction has been performed. | Interface | cc.mallet.extract | Mallet |
| FieldComparator | Interface for functions that compares extracted values of a field to see if they match. | Interface | cc.mallet.extract | Mallet |
| FileIterator | An iterator that generates instances from an initial directory or set of directories. | Class | cc.mallet.pipe.iterator | Mallet |
| FileListIterator | An iterator that generates instances for a pipe from a list of filenames. | Class | cc.mallet.pipe.iterator | Mallet |
| Filename2CharSequence | Given a filename contained in a string, read in contents of file into a CharSequence. | Class | cc.mallet.pipe | Mallet |
| FileUriIterator | Fields inherited from class cc. | Class | cc.mallet.pipe.iterator | Mallet |
| FileUtils | Contains static utilities for manipulating files. | Class | cc.mallet.util | Mallet |
| FilterEmptyFeatureVectors | See Also:Serialized FormConstructor SummaryFilterEmptyFeatureVectors() | Class | cc.mallet.pipe | Mallet |
| FirstOrderClusterExample | Illustrates use of a supervised clustering method that uses features over clusters. | Class | cc.mallet.cluster.examples | Mallet |
| Flops | Utilities for flop (floating-point operation) counting. | Class | cc.mallet.grmm.util | Mallet |
| FSTConstraintUtil | Expectation constraint utilities for fst package. | Class | cc.mallet.fst.semi_supervised | Mallet |
| FullMessageStrategy | A first implementation of MessageStrategy that assumes that a BP region graph Created: May 29, 2005 | Class | cc.mallet.grmm.inference.gbp | Mallet |
| GainRatio | List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the | Class | cc.mallet.types | Mallet |
| GammaAverageConfidenceEstimator | Calculates the confidence in an extracted segment by taking the average of P(s_i | Class | cc.mallet.fst.confidence | Mallet |
| GammaProductConfidenceEstimator | Calculates the confidence in an extracted segment by taking the product of eP(s_i | Class | cc.mallet.fst.confidence | Mallet |
| GEConstraint | Interface for GE constraint that considers either one or two states. | Interface | cc.mallet.fst.semi_supervised.constraints | Mallet |
| GELattice | Runs the dynamic programming algorithm of [Mann and McCallum 08] for computing the gradient of a Generalized Expectation constraint that | Class | cc.mallet.fst.semi_supervised | Mallet |
| GeneralUtils | Static utility methods that didn't seem to belong anywhere else. | Class | cc.mallet.grmm.util | Mallet |
| GenericAcrfData2TokenSequence | Generic pipe that takes a linegroup of the form: LABEL1 LABEL2 . | Class | cc.mallet.grmm.learning | Mallet |
| GenericAcrfTui | Class | cc.mallet.grmm.learning | Mallet | |
| GibbsSampler | Created: Mar 28, 2005Version:$Id: GibbsSampler. | Class | cc.mallet.grmm.inference | Mallet |
| GradientAscent | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
| GradientBracketLineOptimizer | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
| GradientGain | Class | cc.mallet.types | Mallet | |
| Graph | Framework for standard graph. | Class | cc.mallet.classify.evaluate | Mallet |
| Graph2 | Methods for a 2-D graphSee Also:Serialized Form | Class | cc.mallet.classify.evaluate | Mallet |
| GraphItem | Holds data for a point on a graphConstructor SummaryGraphItem(java. | Class | cc.mallet.classify.evaluate | Mallet |
| Graphs | Created: Dec 21, 2005Version:$Id: Graphs. | Class | cc.mallet.grmm.util | Mallet |
| GreedyAgglomerative | Greedily merges Instances until convergence. | Class | cc.mallet.cluster | Mallet |
| GreedyAgglomerativeByDensity | Greedily merges Instances until convergence. | Class | cc.mallet.cluster | Mallet |
| HashedSparseVector | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
| HashVarSet | A clique is a collection of nodes in a graph that are all adjacent. | Class | cc.mallet.grmm.types | Mallet |
| HierarchicalLDA | Class | cc.mallet.topics | Mallet | |
| HierarchicalLDATUI | Class | cc.mallet.topics.tui | Mallet | |
| HierarchicalPAM | Hierarchical PAM, where each node in the DAG has a distribution over all topics on the next level and one additional "node-specific" topic. | Class | cc.mallet.topics | Mallet |
| HierarchicalTokenizationFilter | Tokenization filter that will create nested spans based on a hierarchical labeling of the data. | Class | cc.mallet.extract | Mallet |
| HillClimbingClusterer | A Clusterer that iteratively improves a predicted Clustering using a NeighborEvaluator. | Class | cc.mallet.cluster | Mallet |
| HMM | A Hidden Markov Model. | Class | cc.mallet.fst | Mallet |
| HMMTrainerByLikelihood | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.fst | Mallet |
| IDSorter | This class is contains a comparator for use in sorting integers that have associated floating point values. | Class | cc.mallet.types | Mallet |
| IndexedSparseVector | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
| Inferencer | Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over | Interface | cc.mallet.grmm.inference | Mallet |
| InferTopics | Class | cc.mallet.topics.tui | Mallet | |
| InfoGain | Class | cc.mallet.types | Mallet | |
| Input2CharSequence | Pipe that can read from various kinds of text sources (either URI, File, or Reader) into a CharSequence | Class | cc.mallet.pipe | Mallet |
| Instance | A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. | Class | cc.mallet.types | Mallet |
| InstanceAccuracyEvaluator | Reports the percentage of instances for which the entire predicted sequence was Created: May 12, 2004 | Class | cc.mallet.fst | Mallet |
| InstanceList | A list of machine learning instances, typically used for training or testing of a machine learning algorithm. | Class | cc.mallet.types | Mallet |
| InstanceListTrimFeaturesByCount | Class | cc.mallet.pipe | Mallet | |
| InstanceListTUI | Class | cc.mallet.types | Mallet | |
| InstanceWithConfidence | Helper class to store confidence of an Instance. | Class | cc.mallet.fst.confidence | Mallet |
| InvalidOptimizableException | Exception thrown by optimization algorithms, when the problem is usually due to a problem with the given Maximizable instance. | Class | cc.mallet.optimize | Mallet |
| InvertedIndex | Class | cc.mallet.types | Mallet | |
| IoUtils | Class | cc.mallet.util | Mallet | |
| IsolatedSegmentTransducerCorrector | Corrects a subset of the Segments produced by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
| JunctionTree | Datastructure for a junction tree. | Class | cc.mallet.grmm.inference | Mallet |
| JunctionTreeInferencer | Does inference in general graphical models using the Hugin junction tree algorithm. | Class | cc.mallet.grmm.inference | Mallet |
| KBestClusterer | Return the K best predicted ClusteringsAuthor:culottaSee Also:Serialized Form | Class | cc.mallet.cluster | Mallet |
| Kikuchi4SquareRegionGenerator | Created: May 31, 2005Version:$Id: Kikuchi4SquareRegionGenerator. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| KLGain | Class | cc.mallet.types | Mallet | |
| KMeans | Clusters the points into k clusters by minimizing the total intra-cluster variance. | Class | cc.mallet.cluster | Mallet |
| Label | Class | cc.mallet.types | Mallet | |
| LabelAlphabet | A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back. | Class | cc.mallet.types | Mallet |
| LabelDistributionEvaluator | Prints predicted and true label distribution. | Class | cc.mallet.fst | Mallet |
| LabeledSpan | Created: Oct 12, 2004Version:$Id: LabeledSpan. | Class | cc.mallet.extract | Mallet |
| LabeledSpans | Created: Oct 31, 2004Version:$Id: LabeledSpans. | Class | cc.mallet.extract | Mallet |
| Labeler | Interface | cc.mallet.types | Mallet | |
| Labeling | A distribution over possible labels for an instance. | Interface | cc.mallet.types | Mallet |
| Labelings | A collection of labelings, either for a multi-label problem (all labels are part of the same label dictionary), or a factorized | Class | cc.mallet.types | Mallet |
| Labels | Usually some distribution over possible labels for an instance. | Class | cc.mallet.types | Mallet |
| LabelsAssignment | A special kind of assignment for Variables that can be arranged in a LabelsSequence. | Class | cc.mallet.grmm.util | Mallet |
| LabelSequence | Class | cc.mallet.types | Mallet | |
| LabelsSequence | A simple Sequence implementation where all of the elements must be Labels. | Class | cc.mallet.types | Mallet |
| LabelsSequence2Assignment | $Id: LabelsSequence2Assignment. | Class | cc.mallet.grmm.util | Mallet |
| LabelVector | Class | cc.mallet.types | Mallet | |
| LatticeViewer | Created: Oct 31, 2004Version:$Id: LatticeViewer. | Class | cc.mallet.extract | Mallet |
| LDA | Latent Dirichlet Allocation. | Class | cc.mallet.topics | Mallet |
| LDAHyper | Latent Dirichlet Allocation with optimized hyperparametersAuthor:David Mimno, Andrew McCallumSee Also:Serialized Form | Class | cc.mallet.topics | Mallet |
| LDAStream | Class | cc.mallet.topics | Mallet | |
| LengthBins | A feature approximating string length. | Class | cc.mallet.share.upenn.ner | Mallet |
| Lexer | Interface | cc.mallet.util | Mallet | |
| LexiconMembership | See Also:Serialized FormConstructor SummaryLexiconMembership(java. | Class | cc.mallet.pipe.tsf | Mallet |
| LimitedMemoryBFGS | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
| LineGroupIterator | Iterate over groups of lines of text, separated by lines that match a regular expression. | Class | cc.mallet.pipe.iterator | Mallet |
| LineGroupString2TokenSequence | See Also:Serialized FormConstructor SummaryLineGroupString2TokenSequence() | Class | cc.mallet.pipe | Mallet |
| LineIterator | Constructor SummaryLineIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
| LineOptimizer | Optimize, constrained to move parameters along the direction of a specified line. | Interface | cc.mallet.optimize | Mallet |
| ListMember | Checks membership in a lexicon in a text file. | Class | cc.mallet.share.upenn.ner | Mallet |
| ListVarSet | A clique that uses very little time and memory based on the flyweight pattern, in the same way as BitVarSet. | Class | cc.mallet.grmm.types | Mallet |
| LogNumber | Class | cc.mallet.types | Mallet | |
| LogTableFactor | Created: Jan 4, 2006Version:$Id: LogTableFactor. | Class | cc.mallet.grmm.types | Mallet |
| LongRegexMatches | Matches a regular expression which spans several tokens. | Class | cc.mallet.share.upenn.ner | Mallet |
| LoopyBP | The loopy belief propagation algorithm for approximate inference in general graphical models. | Class | cc.mallet.grmm.inference | Mallet |
| MakeAmpersandXMLFriendly | convert & to & in tokens of a token sequenceAuthor:Aron Culotta culotta@cs. | Class | cc.mallet.pipe | Mallet |
| MalletLogger | Class | cc.mallet.util | Mallet | |
| MalletProgressMessageLogger | Created by IntelliJ IDEA. | Class | cc.mallet.util | Mallet |
| MarginalProbEstimator | An implementation of topic model marginal probability estimators presented in Wallach et al. | Class | cc.mallet.topics | Mallet |
| Maths | Class | cc.mallet.util | Mallet | |
| Matrices | Static Matrix constructors. | Class | cc.mallet.grmm.util | Mallet |
| Matrix | Interface | cc.mallet.types | Mallet | |
| Matrix2 | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
| Matrixn | number of dimensions. | Class | cc.mallet.types | Mallet |
| MatrixOps | A class of static utility functions for manipulating arrays ofConstructor SummaryMatrixOps() | Class | cc.mallet.types | Mallet |
| MaxEnt | Maximum Entropy (AKA Multivariate Logistic Regression) classifier. | Class | cc.mallet.classify | Mallet |
| MaxEntConfidenceEstimator | Estimates the confidence of a Segment extracted by a Transducer using a MaxEnt classifier to classify segments as "correct" or "incorrect. | Class | cc.mallet.fst.confidence | Mallet |
| MaxEntFLGEConstraints | Abstract expectation constraint for use with Generalized Expectation (GE). | Class | cc.mallet.classify.constraints.ge | Mallet |
| MaxEntFLPRConstraints | Abstract expectation constraint for use with Posterior Regularization (PR). | Class | cc.mallet.classify.constraints.pr | Mallet |
| MaxEntGEConstraint | Interface for expectation constraints for use with Generalized Expectation (GE). | Interface | cc.mallet.classify.constraints.ge | Mallet |
| MaxEntGERangeTrainer | Training of MaxEnt models with labeled features using Generalized Expectation Criteria. | Class | cc.mallet.classify | Mallet |
| MaxEntGETrainer | Training of MaxEnt models with labeled features using Generalized Expectation Criteria. | Class | cc.mallet.classify | Mallet |
| MaxEntKLFLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
| MaxEntL1Trainer | Class | cc.mallet.classify | Mallet | |
| MaxEntL2FLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
| MaxEntL2FLPRConstraints | Expectation constraint for use with Posterior Regularization (PR). | Class | cc.mallet.classify.constraints.pr | Mallet |
| MaxEntOptimizableByGE | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.classify | Mallet |
| MaxEntOptimizableByLabelDistribution | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.classify | Mallet |
| MaxEntOptimizableByLabelLikelihood | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.classify | Mallet |
| MaxEntPRConstraint | Interface for expectation constraints for use with Posterior Regularization (PR). | Interface | cc.mallet.classify.constraints.pr | Mallet |
| MaxEntPRTrainer | Penalty (soft) version of Posterior Regularization (PR) for training MaxEnt. | Class | cc.mallet.classify | Mallet |
| MaxEntRangeL2FLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
| MaxEntSequenceConfidenceEstimator | Estimates the confidence of a Sequence extracted by a Transducer using a MaxEnt classifier to classify Sequences as "correct" or "incorrect. | Class | cc.mallet.fst.confidence | Mallet |
| MaxEntShell | Simple wrapper for training a MALLET maxent classifier. | Class | cc.mallet.share.upenn | Mallet |
| MaxEntTrainer | The trainer for a Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
| MaxLattice | The interface to classes implementing the Viterbi algorithm, finding the best sequence of states for a given input sequence. | Interface | cc.mallet.fst | Mallet |
| MaxLatticeDefault | Default, full dynamic programming version of the Viterbi "Max-(Product)-Lattice" algorithm. | Class | cc.mallet.fst | Mallet |
| MaxLatticeFactory | See Also:Serialized FormConstructor SummaryMaxLatticeFactory() | Class | cc.mallet.fst | Mallet |
| MCMaxEnt | Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
| MCMaxEntTrainer | The trainer for a Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
| MedoidEvaluator | Uses a Classifier over pairs of Instances to score Neighbor. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| MEMM | A Maximum Entropy Markov Model. | Class | cc.mallet.fst | Mallet |
| MEMMTrainer | Trains and evaluates a MEMM. | Class | cc.mallet.fst | Mallet |
| MessageArray | Efficiently manages a array of messages in a factor graph from variables to factors and vice versa. | Class | cc.mallet.grmm.inference | Mallet |
| MessageStrategy | Created: May 29, 2005Version:$Id: MessageStrategy. | Interface | cc.mallet.grmm.inference.gbp | Mallet |
| Metric | Interface | cc.mallet.types | Mallet | |
| MinHeap | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
| Minkowski | Class | cc.mallet.types | Mallet | |
| MinSegmentConfidenceEstimator | Estimates the confidence of an entire sequence by the least confidence segment. | Class | cc.mallet.fst.confidence | Mallet |
| MIntInt2ObjectMap | Hash map that maps integer pairs to objects. | Class | cc.mallet.grmm.util | Mallet |
| ModelReader | $Id: ModelReader. | Class | cc.mallet.grmm.util | Mallet |
| ModelReaderExample | Class | cc.mallet.grmm.examples | Mallet | |
| Models | Static utilities that do useful things with factor graphs. | Class | cc.mallet.grmm.util | Mallet |
| ModelWriter | $Id: ModelReader. | Class | cc.mallet.grmm.util | Mallet |
| MUCEvaluator | Evaluate a Clustering using the MUC evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
| MultiInstanceList | An implementation of InstanceList that logically combines multiple instance lists so that they appear as one list without copying the original lists. | Class | cc.mallet.types | Mallet |
| Multinomial | A probability distribution over a set of features represented as a FeatureVector. | Class | cc.mallet.types | Mallet |
| MultinomialHMM | Latent Dirichlet Allocation. | Class | cc.mallet.topics | Mallet |
| MultiSegmentationEvaluator | Evaluates a transducer model, computes the precision, recall and F1 scores; considers segments that span across multiple tokens. | Class | cc.mallet.fst | Mallet |
| MultiSegmentationEvaluatorACRF | Class | cc.mallet.grmm.learning | Mallet | |
| MVNormal | Tools for working with multivariate normal distributionsConstructor SummaryMVNormal() | Class | cc.mallet.util | Mallet |
| NaiveBayes | A classifier that classifies instances according to the NaiveBayes method. | Class | cc.mallet.classify | Mallet |
| NaiveBayesEMTrainer | Class | cc.mallet.classify | Mallet | |
| NaiveBayesTrainer | Class used to generate a NaiveBayes classifier from a set of training data. | Class | cc.mallet.classify | Mallet |
| NBestViterbiConfidenceEstimator | Estimates the confidence of an entire sequence by the probability that one of the the Viterbi paths rank 2->N is correct. | Class | cc.mallet.fst.confidence | Mallet |
| Neighbor | A Clustering and a modified version of that Clustering. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| NeighborEvaluator | Scores the value of changing the current Clustering to the modified Clustering specified in a Neighbor object. | Interface | cc.mallet.cluster.neighbor_evaluator | Mallet |
| NeighborIterator | Sample Instances with data objects equal to Neighbors. | Class | cc.mallet.cluster.iterator | Mallet |
| NEPipes | Class | cc.mallet.share.upenn.ner | Mallet | |
| NodeClusterSampleIterator | Samples merges of a singleton cluster with another (possibly non-singleton) cluster. | Class | cc.mallet.cluster.iterator | Mallet |
| Noop | A pipe that does nothing to the instance fields but which has side effects on the dictionary. | Class | cc.mallet.pipe | Mallet |
| NoopTransducerTrainer | 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. | Class | cc.mallet.fst | Mallet |
| NormalFactor | Multivariate Gaussian factor. | Class | cc.mallet.grmm.types | Mallet |
| NormalizedDotProductMetric | 1 - [ / sqrt (*)] aka 1 - cosine similarity | Class | cc.mallet.types | Mallet |
| NPTopicModel | A non-parametric topic model that uses the "minimal path" assumption to reduce bookkeeping. | Class | cc.mallet.topics | Mallet |
| NullLabel | Object that carries a LabelAlphabet. | Class | cc.mallet.types | Mallet |
| OffsetConjunctions | Class | cc.mallet.pipe.tsf | Mallet | |
| OffsetFeatureConjunction | See Also:Serialized FormConstructor SummaryOffsetFeatureConjunction(java. | Class | cc.mallet.pipe.tsf | Mallet |
| OffsetPropertyConjunctions | Class | cc.mallet.pipe.tsf | Mallet | |
| OneLabelGEConstraints | A set of constraints on distributions over single labels conditioned on the presence of input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| OneLabelKLGEConstraints | A set of constraints on distributions over consecutive labels conditioned an input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| OneLabelL2GEConstraints | A set of constraints on distributions over consecutive labels conditioned an input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| OneLabelL2IndPRConstraints | A set of constraints on individual input feature label pairs. | Class | cc.mallet.fst.semi_supervised.pr.constraints | Mallet |
| OneLabelL2PRConstraints | A set of constraints on distributions over single labels conditioned on the presence of input features. | Class | cc.mallet.fst.semi_supervised.pr.constraints | Mallet |
| OneLabelL2RangeGEConstraints | A set of constraints on individual input feature label pairs. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| Optimizable | Interface | cc.mallet.optimize | Mallet | |
| OptimizableCollection | Class | cc.mallet.optimize | Mallet | |
| OptimizationException | General exception thrown by optimization algorithms when there is an optimization-specific problem. | Class | cc.mallet.optimize | Mallet |
| Optimizer | Interface | cc.mallet.optimize | Mallet | |
| OptimizerEvaluator | Callback interface that allows optimizer clients to perform some operation after every iteration. | Interface | cc.mallet.optimize | Mallet |
| OrthantWiseLimitedMemoryBFGS | optimizing convex L1-regularized objectives. | Class | cc.mallet.optimize | Mallet |
| PagedInstanceList | An InstanceList which avoids OutOfMemoryErrors by saving Instances to disk when there is not enough memory to create a new | Class | cc.mallet.types | Mallet |
| PairF1Evaluator | Evaluates two clustering using pairwise comparisons. | Class | cc.mallet.cluster.evaluate | Mallet |
| PairSampleIterator | Sample pairs of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
| PairwiseEvaluator | Uses a Classifier over pairs of Instances to score Neighbor. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| PairwiseMatrix | 2-D upper-triangular matrix. | Class | cc.mallet.cluster.util | Mallet |
| PairwiseScorer | 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. | Class | cc.mallet.cluster.clustering_scorer | Mallet |
| PAM4L | Four Level Pachinko Allocation with MLE learning, based on Andrew's Latent Dirichlet Allocation. | Class | cc.mallet.topics | Mallet |
| ParallelTopicModel | Simple parallel threaded implementation of LDA, following Newman, Asuncion, Smyth and Welling, Distributed Algorithms for Topic Models | Class | cc.mallet.topics | Mallet |
| ParameterizedFactor | A factor that supports taking derivatives with respect to its continuous variables. | Interface | cc.mallet.grmm.types | Mallet |
| ParenGroupIterator | Iterator that takes a Reader, breaks up the input into top-level parenthesized expressions. | Class | cc.mallet.pipe.iterator | Mallet |
| ParentChildGBP | Created: May 27, 2005Version:$Id: ParentChildGBP. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| PartiallyRankedFeatureVector | Class | cc.mallet.types | Mallet | |
| PatternMatchIterator | Iterates over matching regular expresions. | Class | cc.mallet.pipe.iterator | Mallet |
| PerClassAccuracyEvaluator | Determines the precision, recall and F1 on a per-class basis. | Class | cc.mallet.fst | Mallet |
| PerDocumentF1Evaluator | Created: Oct 8, 2004Version:$Id: PerDocumentF1Evaluator. | Class | cc.mallet.extract | Mallet |
| PerFieldF1Evaluator | Created: Oct 8, 2004Version:$Id: PerFieldF1Evaluator. | Class | cc.mallet.extract | Mallet |
| PerLabelFeatureCounts | Class | cc.mallet.types | Mallet | |
| PerLabelInfoGain | Class | cc.mallet.types | Mallet | |
| PiecewiseACRFTrainer | Created: Mar 15, 2005Version:$Id: CliquewiseACRFTrainer. | Class | cc.mallet.grmm.learning | Mallet |
| Pipe | The abstract superclass of all Pipes, which transform one data type to another. | Class | cc.mallet.pipe | Mallet |
| PipedInstanceWithConfidence | Helper class to store confidence of an Instance. | Class | cc.mallet.fst.confidence | Mallet |
| PipedIterator | Created: Mar 3, 2005Version:$Id: PipedIterator. | Class | cc.mallet.grmm.util | Mallet |
| PipeException | See Also:Serialized FormConstructor SummaryPipeException() | Class | cc.mallet.pipe | Mallet |
| PipeExtendedIterator | Provides a PipeExtendedIterator that applies a Pipe to the Instances returned by a given PipeExtendedIterator, | Class | cc.mallet.pipe.iterator | Mallet |
| PipeInputIterator | Interface for classes that generate instances. | Class | cc.mallet.pipe.iterator | Mallet |
| PipeUtils | Created: Aug 28, 2005Version:$Id: PipeUtils. | Class | cc.mallet.pipe | Mallet |
| PlainLogFormatter | Class | cc.mallet.util | Mallet | |
| PolylingualTopicModel | Latent Dirichlet Allocation for loosely parallel corpora in arbitrary languagesAuthor:David Mimno, Andrew McCallumSee Also:Serialized Form | Class | cc.mallet.topics | Mallet |
| PottsTableFactor | A factor over a continuous variable alpha and discrete variables x such that phi(x | Class | cc.mallet.grmm.types | Mallet |
| PRAuxClassifier | Auxiliary model (q) for E-step/I-projection in PR training. | Class | cc.mallet.classify | Mallet |
| PRAuxClassifierOptimizable | Optimizable for training auxiliary model (q) for E-step/I-projection in PR training. | Class | cc.mallet.classify | Mallet |
| PRAuxiliaryModel | Auxiliar model (q) for E-step/I-projection in Posterior Regularization (PR). | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| PRConstraint | Interface for PR constraint that considers either one or two states. | Interface | cc.mallet.fst.semi_supervised.pr.constraints | Mallet |
| PrintInput | Print the data field of each instance. | Class | cc.mallet.pipe | Mallet |
| PrintInputAndTarget | Print the data and target fields of each instance. | Class | cc.mallet.pipe | Mallet |
| PrintTokenSequenceFeatures | 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. | Class | cc.mallet.pipe | Mallet |
| PrintUtilities | A simple utility class that lets you very simply print an arbitrary component. | Class | cc.mallet.util | Mallet |
| PriorityQueue | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
| ProgressMessageLogFormatter | Format ProgressMessages destined for screen. | Class | cc.mallet.util | Mallet |
| ProgressMessageLogRecord | A log message that is to be written in place (no newline) if the message is headed for the user's terminal. | Class | cc.mallet.util | Mallet |
| PropertyHolder | Interface | cc.mallet.types | Mallet | |
| PropertyList | Class | cc.mallet.util | Mallet | |
| PseudolikelihoodACRFTrainer | Created: Mar 15, 2005Version:$Id: PseudolikelihoodACRFTrainer. | Class | cc.mallet.grmm.learning | Mallet |
| PunctuationIgnoringComparator | Created: Nov 23, 2004Version:$Id: PunctuationIgnoringComparator. | Class | cc.mallet.extract | Mallet |
| PwplACRFTrainer | NB The wrong-wrong options are for an extension that we tried that never quite worked Created: Mar 15, 2005 | Class | cc.mallet.grmm.learning | Mallet |
| QBCSequenceConfidenceEstimator | Estimates the confidence of an entire sequence by the "disagreement" among a committee of CRFs. | Class | cc.mallet.fst.confidence | Mallet |
| QueueElement | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
| RandomConfidenceEstimator | Randomly assigns values between 0-1 to the confidence of a Segment. | Class | cc.mallet.fst.confidence | Mallet |
| RandomEvaluator | Randomly scores Neighbors. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| RandomFeatureVectorIterator | Class | cc.mallet.pipe.iterator | Mallet | |
| RandomGraphs | Utility class for generating many useful kinds of random graphical Created: Mar 26, 2005 | Class | cc.mallet.grmm.inference | Mallet |
| Randoms | See Also:Serialized FormConstructor SummaryRandoms() | Class | cc.mallet.util | Mallet |
| RandomSequenceConfidenceEstimator | Estimates the confidence of an entire sequence randomly. | Class | cc.mallet.fst.confidence | Mallet |
| RandomTokenSequenceIterator | Class | cc.mallet.pipe.iterator | Mallet | |
| RankedFeatureVector | Class | cc.mallet.types | Mallet | |
| RankingNeighborEvaluator | Uses a Classifier that scores an array of Neighbors. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
| RankMaxEnt | Rank Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
| RankMaxEntTrainer | The trainer for a RankMaxEnt classifier. | Class | cc.mallet.classify | Mallet |
| Record | Class | cc.mallet.cluster | Mallet | |
| Record | Created: Oct 12, 2004Version:$Id: Record. | Class | cc.mallet.extract | Mallet |
| RegexFieldCleaner | A field cleaner that removes all occurrences of a given regex. | Class | cc.mallet.extract | Mallet |
| RegexFileFilter | Constructor SummaryRegexFileFilter(java. | Class | cc.mallet.util | Mallet |
| RegexMatches | See Also:Serialized FormConstructor SummaryRegexMatches(java. | Class | cc.mallet.pipe.tsf | Mallet |
| RegionGraphGenerator | Interface for strategies that construct region graphs from arbitrary graphical models. | Interface | cc.mallet.grmm.inference.gbp | Mallet |
| RememberTokenizationPipe | Created: Mar 17, 2005Version:$Id: RememberTokenizationPipe. | Class | cc.mallet.grmm.util | Mallet |
| ResidualBP | A dynamic BP schedule where The loopy belief propagation algorithm for approximate inference in | Class | cc.mallet.grmm.inference | Mallet |
| ROCData | Tracks ROC data for instances in Trial results. | Class | cc.mallet.types | Mallet |
| Sampler | Interface for methods from sampling the distribution given by a graphical Created: Mar 28, 2005 | Interface | cc.mallet.grmm.inference | Mallet |
| SamplingInferencer | Approximate inferencer for graphical models using sampling. | Class | cc.mallet.grmm.inference | Mallet |
| SaveDataInSource | Set the source field of each instance to its data field. | Class | cc.mallet.pipe | Mallet |
| SearchNode | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
| SearchState | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
| Segment | Represents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extracted | Class | cc.mallet.fst | Mallet |
| SegmentationEvaluator | Fields inherited from class cc. | Class | cc.mallet.fst | Mallet |
| SegmentIterator | Iterates over Segments extracted by a Transducer for some InstanceList. | Class | cc.mallet.pipe.iterator | Mallet |
| SegmentProductConfidenceEstimator | Estimates the confidence of an entire sequence by combining the output of a segment confidence estimator for each segment. | Class | cc.mallet.fst.confidence | Mallet |
| SelectiveFileLineIterator | Very similar to the SimpleFileLineIterator, but skips lines that match a regular expression. | Class | cc.mallet.pipe.iterator | Mallet |
| SelectiveSGML2TokenSequence | Similar to SGML2TokenSequence, except that only the tags listed in allowedTags are converted to Labels. | Class | cc.mallet.pipe | Mallet |
| SelfTransitionGEConstraint | GE Constraint on the probability of self-transitions in the FST. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| Sequence | Interface | cc.mallet.types | Mallet | |
| SequenceConfidenceInstance | Stores a Sequence and a PropertyList, used when extracting features from a Sequence in a pipe for confidence prediction | Class | cc.mallet.fst.confidence | Mallet |
| SequencePair | Class | cc.mallet.types | Mallet | |
| SequencePairAlignment | Class | cc.mallet.types | Mallet | |
| SequencePrintingPipe | Created: Jul 6, 2005Version:$Id: SequencePrintingPipe. | Class | cc.mallet.pipe.tsf | Mallet |
| Sequences | Utility methods for cc. | Class | cc.mallet.util | Mallet |
| SerialPipes | Convert an instance through a sequence of pipes. | Class | cc.mallet.pipe | Mallet |
| SGML2TokenSequence | 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. | Class | cc.mallet.pipe | Mallet |
| ShallowTransducerTrainer | Wraps around an already trained Transducer model. | Class | cc.mallet.fst | Mallet |
| SimilarTokensTemplate | Template for adding "skip edges" as inVersion:$Id: SimilarTokensTemplate. | Class | cc.mallet.grmm.learning.templates | Mallet |
| SimpleCrfExample | $Id: SimpleCrfExample. | Class | cc.mallet.grmm.examples | Mallet |
| SimpleFactorExample | A simple example to demonstrate the row-major indexing of potential values. | Class | cc.mallet.grmm.examples | Mallet |
| SimpleFileLineIterator | Constructor SummarySimpleFileLineIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
| SimpleGraphExample | Created: Aug 13, 2004Version:$Id: SimpleGraphExample. | Class | cc.mallet.grmm.examples | Mallet |
| SimpleLDA | A simple implementation of Latent Dirichlet Allocation using Gibbs sampling. | Class | cc.mallet.topics | Mallet |
| SimpleTagger | This 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, | Class | cc.mallet.fst | Mallet |
| SimpleTaggerSentence2StringTokenization | This extends SimpleTaggerSentence2TokenSequence to use {Slink StringTokenizations} for use with the extract package. | Class | cc.mallet.pipe | Mallet |
| SimpleTaggerSentence2TokenSequence | Converts an external encoding of a sequence of elements with binary features to a TokenSequence. | Class | cc.mallet.pipe | Mallet |
| SimpleTaggerWithConstraints | Version of SimpleTagger that trains CRFs with expectation constraints rather than labeled data. | Class | cc.mallet.fst.semi_supervised.tui | Mallet |
| SimpleTokenizer | A simple unicode tokenizer that accepts sequences of letters See Also:Serialized Form | Class | cc.mallet.pipe | Mallet |
| SingleInstanceIterator | Class | cc.mallet.types | Mallet | |
| SkeletonFactor | A subclass of Factor in which all operations throw an UnsupportedOperationException. | Class | cc.mallet.grmm.types | Mallet |
| SliceLabelsSequence | Created: Fri Jan 02 23:27:04 2004Version:1. | Class | cc.mallet.grmm.util | Mallet |
| SourceLocation2TokenSequence | Read from File or BufferedRead in the data field and produce a TokenSequence. | Class | cc.mallet.pipe | Mallet |
| Span | A sub-section of a document, either linear or two-dimensional. | Interface | cc.mallet.extract | Mallet |
| SparseMatrixn | number of dimensions. | Class | cc.mallet.types | Mallet |
| SparseMessageSender | Created: Jun 1, 2005Version:$Id: SparseMessageSender. | Class | cc.mallet.grmm.inference.gbp | Mallet |
| SparseVector | A vector that allocates memory only for non-zero values. | Class | cc.mallet.types | Mallet |
| StateLabelMap | Maps states in the lattice to labels. | Class | cc.mallet.fst.semi_supervised | Mallet |
| StatFunctions | Class | cc.mallet.util | Mallet | |
| StochasticMetaAscent | Class | cc.mallet.optimize | Mallet | |
| StringAddNewLineDelimiter | Pipe that can adds special text between lines to explicitly represent line breaks. | Class | cc.mallet.pipe | Mallet |
| StringArrayIterator | Constructor SummaryStringArrayIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
| StringEditFeatureVectorSequence | Class | cc.mallet.types | Mallet | |
| StringEditVector | See Also:Serialized FormConstructor SummaryStringEditVector() | Class | cc.mallet.types | Mallet |
| StringKernel | Computes a similarity metric between two strings, based on counts of common subsequences of characters. | Class | cc.mallet.types | Mallet |
| StringList2FeatureSequence | Convert a list of strings into a feature sequenceSee Also:Serialized Form | Class | cc.mallet.pipe | Mallet |
| Strings | Static utility methods for StringsConstructor SummaryStrings() | Class | cc.mallet.util | Mallet |
| StringSpan | A sub-section of a linear string. | Class | cc.mallet.extract | Mallet |
| StringTokenization | See Also:Serialized FormFields inherited from class java. | Class | cc.mallet.extract | Mallet |
| SumLattice | Interface to perform forward-backward during training of a transducer. | Interface | cc.mallet.fst | Mallet |
| SumLatticeBeam | Class | cc.mallet.fst | Mallet | |
| SumLatticeConstrained | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.fst | Mallet |
| SumLatticeDefault | Class | cc.mallet.fst | Mallet | |
| SumLatticeDefaultCachedDot | Class | cc.mallet.fst.semi_supervised.pr | Mallet | |
| SumLatticeFactory | Provides factory methods to create inference engine for training a transducer. | Class | cc.mallet.fst | Mallet |
| SumLatticeKL | Lattice for M-step/M-projection in PR. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| SumLatticePR | Lattice for E-step/I-projection in PR. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
| SumLatticeScaling | Class | cc.mallet.fst | Mallet | |
| SvmLight2Classify | Command line tool for classifying a sequence of instances directly from text input, without creating an instance list. | Class | cc.mallet.classify.tui | Mallet |
| SvmLight2FeatureVectorAndLabel | This Pipe converts a line in SVMLight format to a Mallet instance with FeatureVector data and | Class | cc.mallet.pipe | Mallet |
| SvmLight2Vectors | Command line import tool for loading a sequence of instances from an SVMLight feature-value pair file, with one instance | Class | cc.mallet.classify.tui | Mallet |
| TableFactor | Created: Jan 4, 2006Version:$Id: TableFactor. | Class | cc.mallet.grmm.types | Mallet |
| Target2BIOFormat | Creates a LabelSequence out of a TokenSequence that is the target of an Instance. | Class | cc.mallet.pipe.tsf | Mallet |
| Target2FeatureSequence | Convert a token sequence in the target field into a feature sequence in the target field. | Class | cc.mallet.pipe | Mallet |
| Target2Label | Convert object in the target field into a label in the target field. | Class | cc.mallet.pipe | Mallet |
| Target2LabelSequence | convert a token sequence in the target field into a label sequence in the target field. | Class | cc.mallet.pipe | Mallet |
| TargetRememberLastLabel | For each position in the target, remember the last non-background label. | Class | cc.mallet.pipe | Mallet |
| TargetStringToFeatures | See Also:Serialized FormConstructor SummaryTargetStringToFeatures() | Class | cc.mallet.pipe | Mallet |
| TestAbstractBeliefPropagation | $Id: TestAbstractBeliefPropagation. | Class | cc.mallet.grmm.test | Mallet |
| TestAlphabet | Created: Nov 24, 2004Version:$Id: TestAlphabet. | Class | cc.mallet.types.tests | Mallet |
| TestAssignment | Created: Aug 11, 2004Version:$Id: TestAssignment. | Class | cc.mallet.grmm.test | Mallet |
| TestAssignmentIterator | Created: Aug 11, 2004Version:$Id: TestAssignmentIterator. | Class | cc.mallet.grmm.test | Mallet |
| TestAStar | Created by IntelliJ IDEA. | Class | cc.mallet.util.tests | Mallet |
| TestAugmentableFeatureVector | Created: Dec 30, 2004Version:$Id: TestAugmentableFeatureVector. | Class | cc.mallet.types.tests | Mallet |
| TestBetaFactor | $Id: TestBetaFactor. | Class | cc.mallet.grmm.test | Mallet |
| TestBitVarSet | Created: Aug 22, 2005Version:$Id: TestBitVarSet. | Class | cc.mallet.grmm.test | Mallet |
| TestClassifiers | Constructor SummaryTestClassifiers(java. | Class | cc.mallet.classify.tests | Mallet |
| TestClusteringEvaluators | Examples drawn from Luo, "On Coreference Resolution Performance Metrics", HLT 2005. | Class | cc.mallet.cluster.evaluate.tests | Mallet |
| TestCRF | Tests for CRF training. | Class | cc.mallet.fst.tests | Mallet |
| TestCRFPipe | Constructor SummaryTestCRFPipe(java. | Class | cc.mallet.examples | Mallet |
| TestDirectedModel | Created: Mar 28, 2005Version:$Id: TestDirectedModel. | Class | cc.mallet.grmm.test | Mallet |
| TestDocumentExtraction | Created: Oct 12, 2004Version:$Id: TestDocumentExtraction. | Class | cc.mallet.extract.test | Mallet |
| TestDocumentViewer | Created: Mar 30, 2005Version:$Id: TestDocumentViewer. | Class | cc.mallet.extract.test | Mallet |
| TestFactorGraph | Created: Mar 17, 2005Version:$Id: TestFactorGraph. | Class | cc.mallet.grmm.test | Mallet |
| TestFactors | Created: Mar 28, 2005Version:$Id: TestFactors. | Class | cc.mallet.grmm.test | Mallet |
| TestFeatureSequence | Constructor SummaryTestFeatureSequence(java. | Class | cc.mallet.types.tests | Mallet |
| TestFeatureTransducer | Constructor SummaryTestFeatureTransducer(java. | Class | cc.mallet.fst.tests | Mallet |
| TestFeatureVector | Constructor SummaryTestFeatureVector(java. | Class | cc.mallet.types.tests | Mallet |
| TestGenericAcrfData2TokenSequence | Created: Sep 15, 2005Version:$Id: TestGenericAcrfData2TokenSequence. | Class | cc.mallet.grmm.test | Mallet |
| TestGibbsSampler | $Id: TestGibbsSampler. | Class | cc.mallet.grmm.test | Mallet |
| TestHashClique | Created: Aug 22, 2005Version:$Id: TestHashClique. | Class | cc.mallet.grmm.test | Mallet |
| TestHashedSparseVector | Constructor SummaryTestHashedSparseVector(java. | Class | cc.mallet.types.tests | Mallet |
| TestIndexedSparseVector | Constructor SummaryTestIndexedSparseVector(java. | Class | cc.mallet.types.tests | Mallet |
| TestInference | Torture tests of inference in GRMM. | Class | cc.mallet.grmm.test | Mallet |
| TestInstanceListWeights | Constructor SummaryTestInstanceListWeights()Methods inherited from class java. | Class | cc.mallet.types.tests | Mallet |
| TestInstancePipe | Class | cc.mallet.pipe.tests | Mallet | |
| TestIterators | Class | cc.mallet.cluster.iterator.tests | Mallet | |
| TestIterators | Unit Test for PipeInputIterators Created: Thu Feb 26 14:27:15 2004 | Class | cc.mallet.pipe.tests | Mallet |
| TestLabelAlphabet | Created: Nov 24, 2004Version:$Id: TestLabelAlphabet. | Class | cc.mallet.types.tests | Mallet |
| TestLabelsSequence | Created: Sep 21, 2004Version:$Id: TestLabelsSequence. | Class | cc.mallet.types.tests | Mallet |
| TestLabelVector | Constructor SummaryTestLabelVector(java. | Class | cc.mallet.types.tests | Mallet |
| TestLatticeViewer | Created: Oct 31, 2004Version:$Id: TestLatticeViewer. | Class | cc.mallet.extract.test | Mallet |
| TestListVarSet | Created: Aug 22, 2005Version:$Id: TestListVarSet. | Class | cc.mallet.grmm.test | Mallet |
| TestLogTableFactor | Created: Aug 17, 2004Version:$Id: TestLogTableFactor. | Class | cc.mallet.grmm.test | Mallet |
| TestMaths | Created: Oct 31, 2004Version:$Id: TestMaths. | Class | cc.mallet.util.tests | Mallet |
| TestMatrix | Constructor SummaryTestMatrix(java. | Class | cc.mallet.types.tests | Mallet |
| TestMatrixn | Created: Aug 30, 2004Version:$Id: TestMatrixn. | Class | cc.mallet.types.tests | Mallet |
| TestMaxEntTrainer | Constructor SummaryTestMaxEntTrainer(java. | Class | cc.mallet.classify.tests | Mallet |
| TestMEMM | Tests for MEMM training. | Class | cc.mallet.fst.tests | Mallet |
| TestMIntInt2ObjectMap | Created: Dec 14, 2005Version:$Id: TestMIntInt2ObjectMap. | Class | cc.mallet.grmm.test | Mallet |
| TestMultinomial | Constructor SummaryTestMultinomial(java. | Class | cc.mallet.types.tests | Mallet |
| TestNaiveBayes | Constructor SummaryTestNaiveBayes(java. | Class | cc.mallet.classify.tests | Mallet |
| TestNormalFactor | $Id: TestNormalFactor. | Class | cc.mallet.grmm.test | Mallet |
| TestOffsetConjunctions | Constructor SummaryTestOffsetConjunctions(java. | Class | cc.mallet.pipe.tsf.tests | Mallet |
| TestOffsetFeatureConjunctions | $Id: TestOffsetFeatureConjunctions. | Class | cc.mallet.pipe.tsf.tests | Mallet |
| TestOptimizable | Contains static methods for testing subclasses of Maximizable and Maximizable. | Class | cc.mallet.optimize.tests | Mallet |
| TestOptimizer | Unit Test for class TestMaximizer. | Class | cc.mallet.optimize.tests | Mallet |
| TestPagedInstanceList | Created: Apr 19, 2005Version:$Id: TestPagedInstanceList. | Class | cc.mallet.types.tests | Mallet |
| TestPatternMatchIterator | Constructor SummaryTestPatternMatchIterator(java. | Class | cc.mallet.pipe.iterator.tests | Mallet |
| TestPerDocumentF1Evaluator | Created: Nov 18, 2004Version:$Id: TestPerDocumentF1Evaluator. | Class | cc.mallet.extract.test | Mallet |
| TestPipeUtils | Created: Aug 28, 2005Version:$Id: TestPipeUtils. | Class | cc.mallet.pipe.tests | Mallet |
| TestPottsFactor | $Id: TestPottsFactor. | Class | cc.mallet.grmm.test | Mallet |
| TestPriorityQueue | Created by IntelliJ IDEA. | Class | cc.mallet.util.tests | Mallet |
| TestPropertyList | Constructor SummaryTestPropertyList(java. | Class | cc.mallet.util.tests | Mallet |
| TestRainbowStyle | Constructor SummaryTestRainbowStyle(java. | Class | cc.mallet.pipe.tests | Mallet |
| TestRandom | Created: Jan 19, 2005Version:$Id: TestRandom. | Class | cc.mallet.util.tests | Mallet |
| TestRandomGraphs | Created: Mar 26, 2005Version:$Id: TestRandomGraphs. | Class | cc.mallet.grmm.test | Mallet |
| TestRankedFeatureVector | Constructor SummaryTestRankedFeatureVector(java. | Class | cc.mallet.types.tests | Mallet |
| TestSequencePrintingPipe | Created: Jul 8, 2005Version:$Id: TestSequencePrintingPipe. | Class | cc.mallet.pipe.tsf.tests | Mallet |
| TestSerializable | Static utility for testing serializable classes in MALLET. | Class | cc.mallet.types.tests | Mallet |
| TestSGML2TokenSequence | Class | cc.mallet.pipe.tests | Mallet | |
| TestSpacePipe | Unit Test for class TestSpacePipe. | Class | cc.mallet.pipe.tests | Mallet |
| TestSparseMatrixn | Created: Aug 30, 2004Version:$Id: TestSparseMatrixn. | Class | cc.mallet.types.tests | Mallet |
| TestSparseVector | Constructor SummaryTestSparseVector(java. | Class | cc.mallet.types.tests | Mallet |
| TestStaticParameters | Class | cc.mallet.classify.tests | Mallet | |
| TestStrings | Created: Jan 19, 2005Version:$Id: TestStrings. | Class | cc.mallet.util.tests | Mallet |
| TestSumNegLogProb2 | Constructor SummaryTestSumNegLogProb2(java. | Class | cc.mallet.fst.tests | Mallet |
| TestTableFactor | Created: Aug 17, 2004Version:$Id: TestTableFactor. | Class | cc.mallet.grmm.test | Mallet |
| TestToken | Constructor SummaryTestToken(java. | Class | cc.mallet.types.tests | Mallet |
| TestTRP | $Id: TestTRP. | Class | cc.mallet.grmm.test | Mallet |
| TestUndirectedModel | Created: Mar 17, 2005Version:$Id: TestUndirectedModel. | Class | cc.mallet.grmm.test | Mallet |
| TestUniformFactor | $Id: TestUniformFactor. | Class | cc.mallet.grmm.test | Mallet |
| TestUniNormalFactor | $Id: TestUniNormalFactor. | Class | cc.mallet.grmm.test | Mallet |
| Text2Classify | Command line tool for classifying a sequence of instances directly from text input, without | Class | cc.mallet.classify.tui | Mallet |
| Text2Clusterings | Class | cc.mallet.cluster.tui | Mallet | |
| Text2Vectors | Convert document files into vectors (a persistent instance list). | Class | cc.mallet.classify.tui | Mallet |
| THashMultiMap | Version of THashMap where every key is mapped to a list of objects. | Class | cc.mallet.grmm.util | Mallet |
| ThreadedOptimizable | An adaptor for optimizables based on batch values/gradients. | Class | cc.mallet.fst | Mallet |
| Timing | A class for timing things. | Class | cc.mallet.util | Mallet |
| Token | A representation of a piece of text, usually a single word, to which we can attach properties. | Class | cc.mallet.types | Mallet |
| Token2FeatureVector | convert the property list on a token into a feature vectorAuthor:Andrew McCallum mccallum@cs. | Class | cc.mallet.pipe | Mallet |
| TokenAccuracyEvaluator | Evaluates a transducer model based on predictions of individual tokens. | Class | cc.mallet.fst | Mallet |
| TokenFirstPosition | See Also:Serialized FormConstructor SummaryTokenFirstPosition() | Class | cc.mallet.pipe.tsf | Mallet |
| Tokenization | Interface | cc.mallet.extract | Mallet | |
| TokenizationFilter | Created: Nov 12, 2004Version:$Id: TokenizationFilter. | Interface | cc.mallet.extract | Mallet |
| TokenSequence | A representation of a piece of text, usually a single word, to which we can attach properties. | Class | cc.mallet.types | Mallet |
| TokenSequence2FeatureSequence | Convert the token sequence in the data field each instance to a feature sequence. | Class | cc.mallet.pipe | Mallet |
| TokenSequence2FeatureSequenceWithBigrams | Convert the token sequence in the data field of each instance to a feature sequence that preserves bigram information. | Class | cc.mallet.pipe | Mallet |
| TokenSequence2FeatureVectorSequence | Convert the token sequence in the data field of each instance to a feature vector sequence. | Class | cc.mallet.pipe | Mallet |
| TokenSequence2TokenInstances | See Also:Serialized FormConstructor SummaryTokenSequence2TokenInstances() | Class | cc.mallet.pipe | Mallet |
| TokenSequence2Tokenization | Heuristically converts a simple token sequence into a Tokenization that can be used with all the extract package goodies. | Class | cc.mallet.extract.pipe | Mallet |
| TokenSequenceDocHeader | See Also:Serialized FormConstructor SummaryTokenSequenceDocHeader() | Class | cc.mallet.share.mccallum.ner | Mallet |
| TokenSequenceLowercase | Convert the text in each token in the token sequence in the data field to lower case. | Class | cc.mallet.pipe | Mallet |
| TokenSequenceMatchDataAndTarget | Run a regular expression over the text of each token; replace the text with the substring matching one regex group; create a target | Class | cc.mallet.pipe | Mallet |
| TokenSequenceNGrams | Convert the token sequence in the data field to a token sequence of ngrams. | Class | cc.mallet.pipe | Mallet |
| TokenSequenceParseFeatureString | Convert the string in each field Token. | Class | cc.mallet.pipe | Mallet |
| TokenSequenceRemoveNonAlpha | Remove tokens that contain non-alphabetic characters. | Class | cc.mallet.pipe | Mallet |
| TokenSequenceRemoveStopwords | Remove tokens from the token sequence in the data field whose text is in the stopword list. | Class | cc.mallet.pipe | Mallet |
| TokenText | See Also:Serialized FormConstructor SummaryTokenText() | Class | cc.mallet.pipe.tsf | Mallet |
| TokenTextCharNGrams | See Also:Serialized FormConstructor SummaryTokenTextCharNGrams() | Class | cc.mallet.pipe.tsf | Mallet |
| TokenTextCharPrefix | See Also:Serialized FormConstructor SummaryTokenTextCharPrefix() | Class | cc.mallet.pipe.tsf | Mallet |
| TokenTextCharSuffix | See Also:Serialized FormConstructor SummaryTokenTextCharSuffix() | Class | cc.mallet.pipe.tsf | Mallet |
| TokenTextNGrams | See Also:Serialized FormConstructor SummaryTokenTextNGrams() | Class | cc.mallet.pipe.tsf | Mallet |
| TopicalNGrams | Like Latent Dirichlet Allocation, but with integrated phrase discovery. | Class | cc.mallet.topics | Mallet |
| TopicAssignment | This class combines a sequence of observed features with a sequence of hidden "labels". | Class | cc.mallet.topics | Mallet |
| TopicInferencer | Class | cc.mallet.topics | Mallet | |
| TopicModel | Class | cc.mallet.examples | Mallet | |
| TopicModelDiagnostics | Class | cc.mallet.topics | Mallet | |
| TopicTrainer | Create a simple LDA topic model, with some reporting options. | Class | cc.mallet.topics.tui | Mallet |
| TrainCRF | Constructor SummaryTrainCRF(java. | Class | cc.mallet.examples | Mallet |
| TrainHMM | Constructor SummaryTrainHMM(java. | Class | cc.mallet.examples | Mallet |
| Transducer | A base class for all sequence models, analogous to classify. | Class | cc.mallet.fst | Mallet |
| TransducerConfidenceEstimator | Abstract class that estimates the confidence of a Segment extracted by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
| TransducerCorrector | Interface for transducerCorrectors, which correct a subset of the Segments produced by a Transducer. | Interface | cc.mallet.fst.confidence | Mallet |
| TransducerEvaluator | An abstract class to evaluate a transducer model. | Class | cc.mallet.fst | Mallet |
| TransducerExtractionConfidenceEstimator | Estimates the confidence in the labeling of a LabeledSpan using a TransducerConfidenceEstimator. | Class | cc.mallet.extract | Mallet |
| TransducerSequenceConfidenceEstimator | Abstract class that estimates the confidence of a Sequence extracted by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
| TransducerTrainer | An abstract class to train and evaluate a transducer model. | Class | cc.mallet.fst | Mallet |
| Tree | Class for arbitrary trees, based on implementation in OpenJGraph. | Class | cc.mallet.grmm.types | Mallet |
| TreeBP | in trees. | Class | cc.mallet.grmm.inference | Mallet |
| Trial | Stores the results of classifying a collection of Instances, and provides many methods for evaluating the results. | Class | cc.mallet.classify | Mallet |
| TrieLexiconMembership | See Also:Serialized FormConstructor SummaryTrieLexiconMembership(java. | Class | cc.mallet.pipe.tsf | Mallet |
| TRP | in general graphical models. | Class | cc.mallet.grmm.inference | Mallet |
| TUI | Class | cc.mallet.share.mccallum.ner | Mallet | |
| TUI | Class | cc.mallet.share.weili.ner.enron | Mallet | |
| TwoLabelGEConstraints | A set of constraints on distributions over pairs of consecutive labels conditioned on the presence of input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| TwoLabelKLGEConstraints | A set of constraints on distributions over consecutive labels conditioned an input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| TwoLabelL2GEConstraints | A set of constraints on distributions over consecutive labels conditioned an input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
| UndirectedGrid | A grid-shaped undirected graphical model. | Class | cc.mallet.grmm.types | Mallet |
| UndirectedModel | Class for pairwise undirected graphical models, also known as pairwise Markov random fields. | Class | cc.mallet.grmm.types | Mallet |
| UniformFactor | $Id: UniformFactor. | Class | cc.mallet.grmm.types | Mallet |
| UniNormalFactor | Univariate Gaussian factor. | Class | cc.mallet.grmm.types | Mallet |
| Univariate | Class | cc.mallet.util | Mallet | |
| Universe | A global mapping between variables and indices. | Class | cc.mallet.grmm.types | Mallet |
| UnlabeledFileIterator | An iterator that generates instances from an initial directory or set of directories. | Class | cc.mallet.pipe.iterator | Mallet |
| UnmodifiableVarSet | Created: Dec 15, 2005Version:$Id: UnmodifiableVarSet. | Class | cc.mallet.grmm.types | Mallet |
| UriUtils | Class | cc.mallet.util | Mallet | |
| Utils | A bunch of static utilities useful for dealing with Inferencers. | Class | cc.mallet.grmm.inference | Mallet |
| Variable | Class for a discrete random variable in a graphical model. | Class | cc.mallet.grmm.types | Mallet |
| VariableElimination | The variable elimination algorithm for inference in graphical Created: Mon Sep 22 17:34:00 2003 | Class | cc.mallet.grmm.inference | Mallet |
| VarSet | Interface for classes that maintain a set of variables in a specified order. | Interface | cc.mallet.grmm.types | Mallet |
| Vector | Interface | cc.mallet.types | Mallet | |
| Vectors2Classify | Classify documents, run trials, print statistics from a vector file. | Class | cc.mallet.classify.tui | Mallet |
| Vectors2FeatureConstraints | Create "feature constraints" from data for use in GE training. | Class | cc.mallet.classify.tui | Mallet |
| Vectors2Info | Diagnostic facilities for a vector file. | Class | cc.mallet.classify.tui | Mallet |
| Vectors2Topics | Perform topic analysis in the style of LDA and its variants. | Class | cc.mallet.topics.tui | Mallet |
| Vectors2Vectors | A command-line tool for manipulating InstanceLists. | Class | cc.mallet.classify.tui | Mallet |
| VectorStats | Class | cc.mallet.util | Mallet | |
| ViterbiConfidenceEstimator | Estimates the confidence of an entire sequence by the probability of the Viterbi path normalized by the probabliity of the entire | Class | cc.mallet.fst.confidence | Mallet |
| ViterbiRatioConfidenceEstimator | Estimates the confidence of an entire sequence by the ration of the probabilities of the first and second best Viterbi paths. | Class | cc.mallet.fst.confidence | Mallet |
| ViterbiWriter | Prints the input instances along with the features and the true and predicted labels to a file. | Class | cc.mallet.fst | Mallet |
| Winnow | Classification methods of Winnow2 algorithm. | Class | cc.mallet.classify | Mallet |
| WinnowTrainer | An implementation of the training methods of a Winnow2 on-line classifier. | Class | cc.mallet.classify | Mallet |
| WordTransformation | Class | cc.mallet.share.weili.ner | Mallet | |
| WorkerRunnable | A parallel topic model runnable task. | Class | cc.mallet.topics | Mallet |