Name | Description | Type | Package | Framework |
AbstractBeliefPropagation | Abstract base class for umplementations of belief propagation for general factor graphs. | Class | cc.mallet.grmm.inference | Mallet |
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AbstractFactor | An Abstract class from which new Factor classes can be subclassed. | Class | cc.mallet.grmm.types | Mallet |
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AbstractInferencer | Abstract base class for inferencers. | Class | cc.mallet.grmm.inference | Mallet |
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AbstractMessageStrategy | Created: May 29, 2005Version:$Id: AbstractMessageStrategy. | Class | cc.mallet.grmm.inference.gbp | Mallet |
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AbstractTableFactor | Class for a multivariate multinomial distribution. | Class | cc.mallet.grmm.types | Mallet |
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AccuracyCoverage | Methods for calculating and displaying the accuracy v. | Class | cc.mallet.classify.evaluate | Mallet |
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AccuracyCoverageEvaluator | Constructs Accuracy-coverage graph using confidence values to sort Fields. | Class | cc.mallet.extract | Mallet |
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AccuracyEvaluator | Accuracy of a clustering is (truePositive + trueNegative) / (numberPairwiseComparisons)Constructor SummaryAccuracyEvaluator() | Class | cc.mallet.cluster.evaluate | Mallet |
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ACRF | Class for Arbitrary CRFs. | Class | cc.mallet.grmm.learning | Mallet |
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ACRFEvaluator | Created: Sun Jan 25 23:28:45 2004Version:$Id: ACRFEvaluator. | Class | cc.mallet.grmm.learning | Mallet |
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ACRFExtractor | Created: Mar 1, 2005Version:$Id: ACRFExtractor. | Class | cc.mallet.grmm.learning.extract | Mallet |
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ACRFExtractorTrainer | Created: Mar 31, 2005Version:$Id: ACRFExtractorTrainer. | Class | cc.mallet.grmm.learning.extract | Mallet |
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AcrfExtractorTui | | Class | cc.mallet.grmm.learning.extract | Mallet |
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AcrfSerialEvaluator | Created: Aug 24, 2005Version:$Id: AcrfSerialEvaluator. | Class | cc.mallet.grmm.learning | Mallet |
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ACRFTrainer | $Id: ACRFTrainer. | Interface | cc.mallet.grmm.learning | Mallet |
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AdaBoost | Robert E. | Class | cc.mallet.classify | Mallet |
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AdaBoostM2 | Yoav Freund and Robert E. | Class | cc.mallet.classify | Mallet |
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AdaBoostM2Trainer | This version of AdaBoost can handle multi-class problems. | Class | cc.mallet.classify | Mallet |
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AdaBoostTrainer | This version of AdaBoost should be used only for binary classification. | Class | cc.mallet.classify | Mallet |
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Addable | | Interface | cc.mallet.util | Mallet |
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AddClassifierTokenPredictions | This pipe uses a Classifier to label each token (i. | Class | cc.mallet.pipe | Mallet |
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AgglomerativeNeighbor | A Neighbor created by merging two clusters of the originalSince:1. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
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AGIS | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
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AllPairsIterator | Iterate over all pairs of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
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Alphabet | A mapping between integers and objects where the mapping in each direction is efficient. | Class | cc.mallet.types | Mallet |
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AlphabetCarrying | An interface for objects that contain one or more Alphabets. | Interface | cc.mallet.types | Mallet |
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AlphabetFactory | | Class | cc.mallet.types | Mallet |
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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 |
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ArrayDataAndTargetIterator | Constructor SummaryArrayDataAndTargetIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
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ArrayIterator | Constructor SummaryArrayIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
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ArrayListSequence | See Also:Serialized FormFields inherited from class java. | Class | cc.mallet.types | Mallet |
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ArrayListUtils | | Class | cc.mallet.util | Mallet |
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ArraySequence | | Class | cc.mallet.types | Mallet |
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ArrayUtils | Static utility methods for arrays (like java. | Class | cc.mallet.util | Mallet |
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Assignment | An assignment to a bunch of variables. | Class | cc.mallet.grmm.types | Mallet |
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AssignmentIterator | Iterates over the assignments to a set of variables. | Interface | cc.mallet.grmm.types | Mallet |
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AStar | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
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AStarNode | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
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AStarState | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
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AugmentableFeatureVector | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
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AugmentableFeatureVectorAddConjunctions | Add specified conjunctions to each instance. | Class | cc.mallet.pipe | Mallet |
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AugmentableFeatureVectorLogScale | Given an AugmentableFeatureVector, set those values greater than or equal to 1 to log(value)+1. | Class | cc.mallet.pipe | Mallet |
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BackTrackLineSearch | Constructor SummaryBackTrackLineSearch(Optimizable. | Class | cc.mallet.optimize | Mallet |
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BaggingClassifier | | Class | cc.mallet.classify | Mallet |
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BaggingTrainer | | Class | cc.mallet.classify | Mallet |
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BalancedWinnow | Classification methods of BalancedWinnow algorithm. | Class | cc.mallet.classify | Mallet |
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BalancedWinnowTrainer | An implementation of the training methods of a BalancedWinnow on-line classifier. | Class | cc.mallet.classify | Mallet |
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BCubedEvaluator | Evaluate a Clustering using the B-Cubed evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
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BetaFactor | $Id: BetaFactor. | Class | cc.mallet.grmm.types | Mallet |
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BidirectionalIntObjectMap | A mapping between integers and objects where the mapping in each direction is efficient. | Class | cc.mallet.grmm.types | Mallet |
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BinaryUnaryFactor | A factor over a continuous variable theta and binary variables var. | Class | cc.mallet.grmm.types | Mallet |
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BIOTokenizationFilter | Created: Nov 12, 2004Version:$Id: BIOTokenizationFilter. | Class | cc.mallet.extract | Mallet |
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BIOTokenizationFilterWithTokenIndices | See Also:Serialized FormConstructor SummaryBIOTokenizationFilterWithTokenIndices() | Class | cc.mallet.extract | Mallet |
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BitVarSet | A clique that uses very little time and memory based on the flyweight pattern. | Class | cc.mallet.grmm.types | Mallet |
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BoltzmannPairFactor | A factor over a continuous variable theta and binary variables var. | Class | cc.mallet.grmm.types | Mallet |
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BoltzmannUnaryFactor | A factor over a continuous variable theta and binary variables var. | Class | cc.mallet.grmm.types | Mallet |
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Boostable | | Interface | cc.mallet.classify | Mallet |
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BPRegionGenerator | Created: May 30, 2005Version:$Id: BPRegionGenerator. | Class | cc.mallet.grmm.inference.gbp | Mallet |
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BranchingPipe | A Pipe that works like a rule list. | Class | cc.mallet.pipe | Mallet |
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BruteForceInferencer | Computes the joint of a GraphicalModel by brute-force calculation. | Class | cc.mallet.grmm.inference | Mallet |
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BshInterpreter | Fields inherited from class bsh. | Class | cc.mallet.util | Mallet |
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BulkLoader | This class reads through a single file, breaking each line into data and (optional) name and label fields. | Class | cc.mallet.util | Mallet |
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C45 | A C4. | Class | cc.mallet.classify | Mallet |
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C45Trainer | A C4. | Class | cc.mallet.classify | Mallet |
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CachedDotTransitionIterator | TransitionIterator that caches dot products. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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CachedMetric | Stores a hash for each object being compared for efficient computation. | Interface | cc.mallet.types | Mallet |
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CacheStaleIndicator | Indicates when the value/gradient during training becomes stale. | Interface | cc.mallet.fst | Mallet |
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CachingOptimizable | Created: Aug 27, 2004Version:$Id: CachingOptimizable. | Class | cc.mallet.grmm.util | Mallet |
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Calo2Classify | Classify documents, run trials, print statistics from a vector file. | Class | cc.mallet.classify.tui | Mallet |
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ChainedInstanceIterator | Under development, and not sure we actually want to have a class list this. | Class | cc.mallet.types | Mallet |
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CharSequence2CharNGrams | Transform a character sequence into a token sequence of character N grams. | Class | cc.mallet.pipe | Mallet |
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CharSequence2TokenSequence | Pipe that tokenizes a character sequence. | Class | cc.mallet.pipe | Mallet |
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CharSequenceArray2TokenSequence | Transform an array of character Sequences into a token sequence. | Class | cc.mallet.pipe | Mallet |
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CharSequenceLexer | | Class | cc.mallet.util | Mallet |
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CharSequenceLowercase | Replace the data string with a lowercased version. | Class | cc.mallet.pipe | Mallet |
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CharSequenceRemoveHTML | This pipe removes HTML from a CharSequence. | Class | cc.mallet.pipe | Mallet |
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CharSequenceRemoveUUEncodedBlocks | | Class | cc.mallet.pipe | Mallet |
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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 |
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CharSubsequence | Given a string, return only the portion of the string inside a regex parenthesized group. | Class | cc.mallet.pipe | Mallet |
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Classification | The result of classifying a single instance. | Class | cc.mallet.classify | Mallet |
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Classification2ConfidencePredictingFeatureVector | Pipe features from underlying classifier to the confidence prediction instance list | Class | cc.mallet.pipe | Mallet |
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Classifier | Abstract parent of all Classifiers. | Class | cc.mallet.classify | Mallet |
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Classifier2Info | Diagnostic facilities for a classifier. | Class | cc.mallet.classify.tui | Mallet |
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ClassifierAccuracyEvaluator | | Class | cc.mallet.classify | Mallet |
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ClassifierEnsemble | Classifer for an ensemble of classifers, combined with learned weights. | Class | cc.mallet.classify | Mallet |
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ClassifierEnsembleTrainer | | Class | cc.mallet.classify | Mallet |
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ClassifierEvaluator | | Class | cc.mallet.classify | Mallet |
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ClassifierTrainer | Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data. | Class | cc.mallet.classify | Mallet |
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ClassifyingNeighborEvaluator | A NeighborEvaluator that is backed by a Classifier. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
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Clusterer | An abstract class for clustering a set of points. | Class | cc.mallet.cluster | Mallet |
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Clustering | | Class | cc.mallet.cluster | Mallet |
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ClusteringEvaluator | Evaluates a predicted Clustering against a true Clustering. | Class | cc.mallet.cluster.evaluate | Mallet |
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ClusteringEvaluators | A list of ClusteringEvaluators. | Class | cc.mallet.cluster.evaluate | Mallet |
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Clusterings | | Class | cc.mallet.cluster | Mallet |
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Clusterings2Clusterer | | Class | cc.mallet.cluster.tui | Mallet |
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Clusterings2Clusterings | | Class | cc.mallet.cluster.tui | Mallet |
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Clusterings2Info | | Class | cc.mallet.cluster.tui | Mallet |
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ClusteringScorer | | Interface | cc.mallet.cluster.clustering_scorer | Mallet |
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ClusterSampleIterator | Sample clusters of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
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ClusterUtils | Utility functions for Clusterings. | Class | cc.mallet.cluster.util | Mallet |
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ClusterVariationalRegionGenerator | Created: Jun 1, 2005Version:$Id: ClusterVariationalRegionGenerator. | Class | cc.mallet.grmm.inference.gbp | Mallet |
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CollectionUtils | Created: Sun Jan 25 01:04:29 2004Version:$Id: CollectionUtils. | Class | cc.mallet.util | Mallet |
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ColorUtils | Utilities for dealing with RGB-style colors. | Class | cc.mallet.util | Mallet |
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CommandOption | | Class | cc.mallet.util | Mallet |
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ConcatenatedInstanceIterator | Constructor SummaryConcatenatedInstanceIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
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ConfidenceCorrectorEvaluator | Calculates the effectiveness of "constrained viterbi" in propagating corrections in one segment of a sequence to other | Class | cc.mallet.fst.confidence | Mallet |
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ConfidenceEvaluator | | Class | cc.mallet.fst.confidence | Mallet |
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ConfidencePredictingClassifier | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.classify | Mallet |
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ConfidencePredictingClassifierTrainer | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.classify | Mallet |
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ConfidenceTokenizationFilter | Created: Oct 26, 2005Author:Serialized Form | Class | cc.mallet.extract | Mallet |
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ConfusionMatrix | Calculates and prints confusion matrix, accuracy, and precision for a given clasification trial. | Class | cc.mallet.classify.evaluate | Mallet |
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ConjugateGradient | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
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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 |
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ConllNer2003Sentence2TokenSequence | See Also:Serialized FormConstructor SummaryConllNer2003Sentence2TokenSequence() | Class | cc.mallet.share.mccallum.ner | Mallet |
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ConstantFactor | $Id: ConstantFactor. | Class | cc.mallet.grmm.types | Mallet |
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ConstantMatrix | | Interface | cc.mallet.types | Mallet |
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ConstrainedForwardBackwardConfidenceEstimator | Estimates the confidence of a Segment extracted by a Transducer by performing a "constrained lattice" calculation. | Class | cc.mallet.fst.confidence | Mallet |
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ConstrainedViterbiTransducerCorrector | Corrects a subset of the Segments produced by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
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ConstraintsOptimizableByPR | Optimizable for E-step/I-projection in Posterior Regularization (PR). | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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CountMatches | | Class | cc.mallet.pipe.tsf | Mallet |
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CountMatchesAlignedWithOffsets | See Also:Serialized FormConstructor SummaryCountMatchesAlignedWithOffsets(java. | Class | cc.mallet.pipe.tsf | Mallet |
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CountMatchesMatching | See Also:Serialized FormConstructor SummaryCountMatchesMatching(java. | Class | cc.mallet.pipe.tsf | Mallet |
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CPT | $Id: CPT. | Class | cc.mallet.grmm.types | Mallet |
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CRF | Represents a CRF model. | Class | cc.mallet.fst | Mallet |
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CRFCacheStaleIndicator | Indicates when the value/gradient becomes stale based on updates to CRF'sAuthor:Gaurav Chandalia | Class | cc.mallet.fst | Mallet |
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CRFExtractor | Created: Oct 12, 2004Version:$Id: CRFExtractor. | Class | cc.mallet.extract | Mallet |
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CRFOptimizableByBatchLabelLikelihood | easily parallelized. | Class | cc.mallet.fst | Mallet |
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CRFOptimizableByEntropyRegularization | A CRF objective function that is the entropy of the CRF's predictions on unlabeled data. | Class | cc.mallet.fst.semi_supervised | Mallet |
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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 |
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CRFOptimizableByGradientValues | A CRF objective function that is the sum of multiple objective functions that implement Optimizable. | Class | cc.mallet.fst | Mallet |
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CRFOptimizableByKL | M-step/M-projection for PR. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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CRFOptimizableByLabelLikelihood | An objective function for CRFs that is the label likelihood plus a Gaussian or hyperbolic prior on parameters. | Class | cc.mallet.fst | Mallet |
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CRFTrainerByEntropyRegularization | A CRF trainer that maximizes the log-likelihood plus a weighted entropy regularization term on unlabeled | Class | cc.mallet.fst.semi_supervised | Mallet |
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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 |
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CRFTrainerByL1LabelLikelihood | CRF trainer that implements L1-regularization. | Class | cc.mallet.fst | Mallet |
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CRFTrainerByLabelLikelihood | Unlike ClassifierTrainer, TransducerTrainer is not "stateless" between calls to train. | Class | cc.mallet.fst | Mallet |
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CRFTrainerByLikelihoodAndGE | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.fst.semi_supervised | Mallet |
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CRFTrainerByPR | Posterior regularization trainer. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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CRFTrainerByStochasticGradient | Trains CRF by stochastic gradient. | Class | cc.mallet.fst | Mallet |
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CRFTrainerByThreadedLabelLikelihood | | Class | cc.mallet.fst | Mallet |
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CRFTrainerByValueGradients | A CRF trainer that can combine multiple objective functions, each represented by a Optmizable. | Class | cc.mallet.fst | Mallet |
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CRFWriter | Saves a trained model to specified filename. | Class | cc.mallet.fst | Mallet |
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CrossTemplate1 | $Id: CrossTemplate1. | Class | cc.mallet.grmm.examples | Mallet |
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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 |
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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 |
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Csv2Array | Converts a string of comma separated values to an array. | Class | cc.mallet.pipe | Mallet |
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Csv2Classify | Command line tool for classifying a sequence of instances directly from text input, without | Class | cc.mallet.classify.tui | Mallet |
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Csv2FeatureVector | Converts a string of the form feature_1:val_1 feature_2:val_2 . | Class | cc.mallet.pipe | Mallet |
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Csv2Vectors | Command line import tool for loading a sequence of instances from a single file, with one instance | Class | cc.mallet.classify.tui | Mallet |
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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 |
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DecisionTree | Decision Tree classifier. | Class | cc.mallet.classify | Mallet |
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DecisionTreeTrainer | A decision tree learner, roughly ID3, but only to a fixed given depth in all branches. | Class | cc.mallet.classify | Mallet |
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DefaultAcrfTrainer | Class for training ACRFs. | Class | cc.mallet.grmm.learning | Mallet |
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DefaultTokenizationFilter | Created: Nov 12, 2004Version:$Id: DefaultTokenizationFilter. | Class | cc.mallet.extract | Mallet |
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DenseMatrix | | Class | cc.mallet.types | Mallet |
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DenseVector | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.types | Mallet |
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DirectedModel | Class for directed graphical models. | Class | cc.mallet.grmm.types | Mallet |
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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 |
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DirectoryFilter | | Class | cc.mallet.util | Mallet |
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Dirichlet | Various useful functions related to Dirichlet distributions. | Class | cc.mallet.types | Mallet |
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DiscreteFactor | $Id: DiscreteFactor. | Interface | cc.mallet.grmm.types | Mallet |
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DMRLoader | This class loads data into the format for the MALLET Dirichlet-multinomial regression (DMR). | Class | cc.mallet.topics.tui | Mallet |
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DMROptimizable | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.topics | Mallet |
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DMRTopicModel | | Class | cc.mallet.topics | Mallet |
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DocumentClassifier | | Class | cc.mallet.classify.examples | Mallet |
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DocumentExtraction | Created: Oct 12, 2004Version:$Id: DocumentExtraction. | Class | cc.mallet.extract | Mallet |
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DocumentLengths | | Class | cc.mallet.util | Mallet |
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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 |
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DoubleList | See Also:Serialized FormConstructor SummaryDoubleList() | Class | cc.mallet.util | Mallet |
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EmptyInstanceIterator | Constructor SummaryEmptyInstanceIterator()Methods inherited from class java. | Class | cc.mallet.pipe.iterator | Mallet |
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EnronMessage2TokenSequence | | Class | cc.mallet.share.weili.ner.enron | Mallet |
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EntropyLattice | Runs subsequence constrained forward-backward to compute the entropy of label Gideon Mann, Andrew McCallum | Class | cc.mallet.fst.semi_supervised | Mallet |
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EvaluateTopics | | Class | cc.mallet.topics.tui | Mallet |
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ExactMatchComparator | Created: Nov 23, 2004Version:$Id: ExactMatchComparator. | Class | cc.mallet.extract | Mallet |
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ExactSampler | Computes an exact sample from the distribution of a given factor graph by forming Created: Nov 9, 2005 | Class | cc.mallet.grmm.inference | Mallet |
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Examples | A class to demonstrate the functionality of the JWNL package. | Class | cc.mallet.util.resources.wn | Mallet |
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ExpGain | | Class | cc.mallet.types | Mallet |
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Extraction | The results of doing information extraction. | Class | cc.mallet.extract | Mallet |
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ExtractionConfidenceEstimator | Estimates the confidence in the labeling of a LabeledSpan. | Class | cc.mallet.extract | Mallet |
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ExtractionEvaluator | Created: Oct 8, 2004Version:$Id: ExtractionEvaluator. | Interface | cc.mallet.extract | Mallet |
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Extractor | Generic interface for objects that do information extraction. | Interface | cc.mallet.extract | Mallet |
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Factor | Interface for multivariate discrete probability distributions. | Interface | cc.mallet.grmm.types | Mallet |
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FactorGraph | Class for undirected graphical models. | Class | cc.mallet.grmm.types | Mallet |
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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 |
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Factors | A static utility class containing utility methods for dealing with factors, especially TableFactor objects. | Class | cc.mallet.grmm.types | Mallet |
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FeatureConjunction | | Class | cc.mallet.types | Mallet |
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FeatureConstraintUtil | Utility functions for creating feature constraints that can be used with GE training. | Class | cc.mallet.classify | Mallet |
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FeatureCounter | Efficient, compact, incremental counting of features in an alphabet. | Class | cc.mallet.types | Mallet |
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FeatureCounter | | Class | cc.mallet.util | Mallet |
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FeatureCountPipe | Pruning low-count features can be a good way to save memory and computation. | Class | cc.mallet.pipe | Mallet |
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FeatureCounts | | Class | cc.mallet.types | Mallet |
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FeatureDocFreqPipe | Pruning low-count features can be a good way to save memory and computation. | Class | cc.mallet.pipe | Mallet |
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FeatureInducer | See Also:Serialized FormConstructor SummaryFeatureInducer(RankedFeatureVector. | Class | cc.mallet.types | Mallet |
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FeatureSelectingClassifierTrainer | Adaptor for adding feature selection to a classifier trainer. | Class | cc.mallet.classify | Mallet |
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FeatureSelection | | Class | cc.mallet.types | Mallet |
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FeatureSelector | Constructor SummaryFeatureSelector(RankedFeatureVector. | Class | cc.mallet.types | Mallet |
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FeatureSequence | An implementation of Sequence that ensures that every Object in the sequence has the same class. | Class | cc.mallet.types | Mallet |
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FeatureSequence2AugmentableFeatureVector | Convert the data field from a feature sequence to an augmentable feature vector. | Class | cc.mallet.pipe | Mallet |
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FeatureSequence2FeatureVector | Convert the data field from a feature sequence to a feature vector. | Class | cc.mallet.pipe | Mallet |
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FeatureSequenceConvolution | Convert Feature sequenceSee Also:Serialized FormConstructor SummaryFeatureSequenceConvolution() | Class | cc.mallet.pipe | Mallet |
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FeatureSequenceWithBigrams | A FeatureSequence with a parallel record of bigrams, kept in a separate dictionaryAuthor:Andrew McCallumSee Also:Serialized Form | Class | cc.mallet.types | Mallet |
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FeaturesInWindow | See Also:Serialized FormConstructor SummaryFeaturesInWindow(java. | Class | cc.mallet.pipe.tsf | Mallet |
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FeaturesOfFirstMention | See Also:Serialized FormConstructor SummaryFeaturesOfFirstMention(java. | Class | cc.mallet.pipe.tsf | Mallet |
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FeatureTransducer | | Class | cc.mallet.fst | Mallet |
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FeatureValueString2FeatureVector | See Also:Serialized FormConstructor SummaryFeatureValueString2FeatureVector() | Class | cc.mallet.pipe | Mallet |
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FeatureVector | A subset of an Alphabet in which each element of the subset has an associated value. | Class | cc.mallet.types | Mallet |
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FeatureVectorConjunctions | Include in the FeatureVector conjunctions of all its features. | Class | cc.mallet.pipe | Mallet |
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FeatureVectorSequence | | Class | cc.mallet.types | Mallet |
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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 |
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FeatureWindow | Adds all features of tokens in the window to the center token. | Class | cc.mallet.share.upenn.ner | Mallet |
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Field | Created: Oct 12, 2004Version:$Id: Field. | Class | cc.mallet.extract | Mallet |
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FieldCleaner | Interface for functions that are used to clean up field values after extraction has been performed. | Interface | cc.mallet.extract | Mallet |
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FieldComparator | Interface for functions that compares extracted values of a field to see if they match. | Interface | cc.mallet.extract | Mallet |
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FileIterator | An iterator that generates instances from an initial directory or set of directories. | Class | cc.mallet.pipe.iterator | Mallet |
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FileListIterator | An iterator that generates instances for a pipe from a list of filenames. | Class | cc.mallet.pipe.iterator | Mallet |
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Filename2CharSequence | Given a filename contained in a string, read in contents of file into a CharSequence. | Class | cc.mallet.pipe | Mallet |
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FileUriIterator | Fields inherited from class cc. | Class | cc.mallet.pipe.iterator | Mallet |
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FileUtils | Contains static utilities for manipulating files. | Class | cc.mallet.util | Mallet |
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FilterEmptyFeatureVectors | See Also:Serialized FormConstructor SummaryFilterEmptyFeatureVectors() | Class | cc.mallet.pipe | Mallet |
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FirstOrderClusterExample | Illustrates use of a supervised clustering method that uses features over clusters. | Class | cc.mallet.cluster.examples | Mallet |
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Flops | Utilities for flop (floating-point operation) counting. | Class | cc.mallet.grmm.util | Mallet |
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FSTConstraintUtil | Expectation constraint utilities for fst package. | Class | cc.mallet.fst.semi_supervised | Mallet |
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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 |
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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 |
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GeneralUtils | Static utility methods that didn't seem to belong anywhere else. | Class | cc.mallet.grmm.util | Mallet |
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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 |
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GibbsSampler | Created: Mar 28, 2005Version:$Id: GibbsSampler. | Class | cc.mallet.grmm.inference | Mallet |
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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 |
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GradientGain | | Class | cc.mallet.types | Mallet |
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Graph | Framework for standard graph. | Class | cc.mallet.classify.evaluate | Mallet |
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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 |
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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 |
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IDSorter | This class is contains a comparator for use in sorting integers that have associated floating point values. | Class | cc.mallet.types | Mallet |
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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 |
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Input2CharSequence | Pipe that can read from various kinds of text sources (either URI, File, or Reader) into a CharSequence | Class | cc.mallet.pipe | Mallet |
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Instance | A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. | Class | cc.mallet.types | Mallet |
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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 |
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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 |
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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 |
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KBestClusterer | Return the K best predicted ClusteringsAuthor:culottaSee Also:Serialized Form | Class | cc.mallet.cluster | Mallet |
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Kikuchi4SquareRegionGenerator | Created: May 31, 2005Version:$Id: Kikuchi4SquareRegionGenerator. | Class | cc.mallet.grmm.inference.gbp | Mallet |
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KLGain | | Class | cc.mallet.types | Mallet |
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KMeans | Clusters the points into k clusters by minimizing the total intra-cluster variance. | Class | cc.mallet.cluster | Mallet |
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Label | | Class | cc.mallet.types | Mallet |
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LabelAlphabet | A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back. | Class | cc.mallet.types | Mallet |
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LabelDistributionEvaluator | Prints predicted and true label distribution. | Class | cc.mallet.fst | Mallet |
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LabeledSpan | Created: Oct 12, 2004Version:$Id: LabeledSpan. | Class | cc.mallet.extract | Mallet |
|
LabeledSpans | Created: Oct 31, 2004Version:$Id: LabeledSpans. | Class | cc.mallet.extract | Mallet |
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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 |
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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 | $Id: LabelsSequence2Assignment. | Class | cc.mallet.grmm.util | Mallet |
|
LabelVector | | Class | cc.mallet.types | Mallet |
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LatticeViewer | Created: Oct 31, 2004Version:$Id: LatticeViewer. | Class | cc.mallet.extract | Mallet |
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LDA | Latent Dirichlet Allocation. | Class | cc.mallet.topics | Mallet |
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LDAHyper | Latent Dirichlet Allocation with optimized hyperparametersAuthor:David Mimno, Andrew McCallumSee Also:Serialized Form | Class | cc.mallet.topics | Mallet |
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LDAStream | | Class | cc.mallet.topics | Mallet |
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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 |
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LimitedMemoryBFGS | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.optimize | Mallet |
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LineGroupIterator | Iterate over groups of lines of text, separated by lines that match a regular expression. | Class | cc.mallet.pipe.iterator | Mallet |
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LineGroupString2TokenSequence | See Also:Serialized FormConstructor SummaryLineGroupString2TokenSequence() | Class | cc.mallet.pipe | Mallet |
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LineIterator | Constructor SummaryLineIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
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LineOptimizer | Optimize, constrained to move parameters along the direction of a specified line. | Interface | cc.mallet.optimize | Mallet |
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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 |
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LogTableFactor | Created: Jan 4, 2006Version:$Id: LogTableFactor. | Class | cc.mallet.grmm.types | Mallet |
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LongRegexMatches | Matches a regular expression which spans several tokens. | Class | cc.mallet.share.upenn.ner | Mallet |
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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 |
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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 |
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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 |
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MaxEntGEConstraint | Interface for expectation constraints for use with Generalized Expectation (GE). | Interface | cc.mallet.classify.constraints.ge | Mallet |
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MaxEntGERangeTrainer | Training of MaxEnt models with labeled features using Generalized Expectation Criteria. | Class | cc.mallet.classify | Mallet |
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MaxEntGETrainer | Training of MaxEnt models with labeled features using Generalized Expectation Criteria. | Class | cc.mallet.classify | Mallet |
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MaxEntKLFLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
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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 |
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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 |
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MaxEntRangeL2FLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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MVNormal | Tools for working with multivariate normal distributionsConstructor SummaryMVNormal() | Class | cc.mallet.util | Mallet |
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NaiveBayes | A classifier that classifies instances according to the NaiveBayes method. | Class | cc.mallet.classify | Mallet |
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NaiveBayesEMTrainer | | Class | cc.mallet.classify | Mallet |
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NaiveBayesTrainer | Class used to generate a NaiveBayes classifier from a set of training data. | Class | cc.mallet.classify | Mallet |
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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 |
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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 |
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Noop | A pipe that does nothing to the instance fields but which has side effects on the dictionary. | Class | cc.mallet.pipe | Mallet |
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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 |
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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 |
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OffsetConjunctions | | Class | cc.mallet.pipe.tsf | Mallet |
|
OffsetFeatureConjunction | See Also:Serialized FormConstructor SummaryOffsetFeatureConjunction(java. | Class | cc.mallet.pipe.tsf | Mallet |
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OffsetPropertyConjunctions | | Class | cc.mallet.pipe.tsf | Mallet |
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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:$Id: CliquewiseACRFTrainer. | Class | cc.mallet.grmm.learning | Mallet |
|
Pipe | The abstract superclass of all Pipes, which transform one data type to another. | Class | cc.mallet.pipe | Mallet |
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PipedInstanceWithConfidence | Helper class to store confidence of an Instance. | Class | cc.mallet.fst.confidence | Mallet |
|
PipedIterator | Created: Mar 3, 2005Version:$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 |
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QBCSequenceConfidenceEstimator | Estimates the confidence of an entire sequence by the "disagreement" among a committee of CRFs. | Class | cc.mallet.fst.confidence | Mallet |
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QueueElement | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
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RandomConfidenceEstimator | Randomly assigns values between 0-1 to the confidence of a Segment. | Class | cc.mallet.fst.confidence | Mallet |
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RandomEvaluator | Randomly scores Neighbors. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
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RandomFeatureVectorIterator | | Class | cc.mallet.pipe.iterator | Mallet |
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RandomGraphs | Utility class for generating many useful kinds of random graphical Created: Mar 26, 2005 | Class | cc.mallet.grmm.inference | Mallet |
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Randoms | See Also:Serialized FormConstructor SummaryRandoms() | Class | cc.mallet.util | Mallet |
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RandomSequenceConfidenceEstimator | Estimates the confidence of an entire sequence randomly. | Class | cc.mallet.fst.confidence | Mallet |
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RandomTokenSequenceIterator | | Class | cc.mallet.pipe.iterator | Mallet |
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RankedFeatureVector | | Class | cc.mallet.types | Mallet |
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RankingNeighborEvaluator | Uses a Classifier that scores an array of Neighbors. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
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RankMaxEnt | Rank Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
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RankMaxEntTrainer | The trainer for a RankMaxEnt classifier. | Class | cc.mallet.classify | Mallet |
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Record | | Class | cc.mallet.cluster | Mallet |
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Record | Created: Oct 12, 2004Version:$Id: Record. | Class | cc.mallet.extract | Mallet |
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RegexFieldCleaner | A field cleaner that removes all occurrences of a given regex. | Class | cc.mallet.extract | Mallet |
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RegexFileFilter | Constructor SummaryRegexFileFilter(java. | Class | cc.mallet.util | Mallet |
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RegexMatches | See Also:Serialized FormConstructor SummaryRegexMatches(java. | Class | cc.mallet.pipe.tsf | Mallet |
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RegionGraphGenerator | Interface for strategies that construct region graphs from arbitrary graphical models. | Interface | cc.mallet.grmm.inference.gbp | Mallet |
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RememberTokenizationPipe | Created: Mar 17, 2005Version:$Id: RememberTokenizationPipe. | Class | cc.mallet.grmm.util | Mallet |
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ResidualBP | A dynamic BP schedule where The loopy belief propagation algorithm for approximate inference in | Class | cc.mallet.grmm.inference | Mallet |
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ROCData | Tracks ROC data for instances in Trial results. | Class | cc.mallet.types | Mallet |
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Sampler | Interface for methods from sampling the distribution given by a graphical Created: Mar 28, 2005 | Interface | cc.mallet.grmm.inference | Mallet |
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SamplingInferencer | Approximate inferencer for graphical models using sampling. | Class | cc.mallet.grmm.inference | Mallet |
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SaveDataInSource | Set the source field of each instance to its data field. | Class | cc.mallet.pipe | Mallet |
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SearchNode | Created by IntelliJ IDEA. | Class | cc.mallet.util.search | Mallet |
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SearchState | Created by IntelliJ IDEA. | Interface | cc.mallet.util.search | Mallet |
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Segment | Represents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extracted | Class | cc.mallet.fst | Mallet |
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SegmentationEvaluator | Fields inherited from class cc. | Class | cc.mallet.fst | Mallet |
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SegmentIterator | Iterates over Segments extracted by a Transducer for some InstanceList. | Class | cc.mallet.pipe.iterator | Mallet |
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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 |
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SelectiveFileLineIterator | Very similar to the SimpleFileLineIterator, but skips lines that match a regular expression. | Class | cc.mallet.pipe.iterator | Mallet |
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SelectiveSGML2TokenSequence | Similar to SGML2TokenSequence, except that only the tags listed in allowedTags are converted to Labels. | Class | cc.mallet.pipe | Mallet |
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SelfTransitionGEConstraint | GE Constraint on the probability of self-transitions in the FST. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
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Sequence | | Interface | cc.mallet.types | Mallet |
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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 |
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SequencePair | | Class | cc.mallet.types | Mallet |
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SequencePairAlignment | | Class | cc.mallet.types | Mallet |
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SequencePrintingPipe | Created: Jul 6, 2005Version:$Id: SequencePrintingPipe. | Class | cc.mallet.pipe.tsf | Mallet |
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Sequences | Utility methods for cc. | Class | cc.mallet.util | Mallet |
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SerialPipes | Convert an instance through a sequence of pipes. | Class | cc.mallet.pipe | Mallet |
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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 |
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ShallowTransducerTrainer | Wraps around an already trained Transducer model. | Class | cc.mallet.fst | Mallet |
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SimilarTokensTemplate | Template for adding "skip edges" as inVersion:$Id: SimilarTokensTemplate. | Class | cc.mallet.grmm.learning.templates | Mallet |
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SimpleCrfExample | $Id: SimpleCrfExample. | Class | cc.mallet.grmm.examples | Mallet |
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SimpleFactorExample | A simple example to demonstrate the row-major indexing of potential values. | Class | cc.mallet.grmm.examples | Mallet |
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SimpleFileLineIterator | Constructor SummarySimpleFileLineIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
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SimpleGraphExample | Created: Aug 13, 2004Version:$Id: SimpleGraphExample. | Class | cc.mallet.grmm.examples | Mallet |
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SimpleLDA | A simple implementation of Latent Dirichlet Allocation using Gibbs sampling. | Class | cc.mallet.topics | Mallet |
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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 |
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SimpleTaggerSentence2StringTokenization | This extends SimpleTaggerSentence2TokenSequence to use {Slink StringTokenizations} for use with the extract package. | Class | cc.mallet.pipe | Mallet |
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SimpleTaggerSentence2TokenSequence | Converts an external encoding of a sequence of elements with binary features to a TokenSequence. | Class | cc.mallet.pipe | Mallet |
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SimpleTaggerWithConstraints | Version of SimpleTagger that trains CRFs with expectation constraints rather than labeled data. | Class | cc.mallet.fst.semi_supervised.tui | Mallet |
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SimpleTokenizer | A simple unicode tokenizer that accepts sequences of letters See Also:Serialized Form | Class | cc.mallet.pipe | Mallet |
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SingleInstanceIterator | | Class | cc.mallet.types | Mallet |
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SkeletonFactor | A subclass of Factor in which all operations throw an UnsupportedOperationException. | Class | cc.mallet.grmm.types | Mallet |
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SliceLabelsSequence | Created: Fri Jan 02 23:27:04 2004Version:1. | Class | cc.mallet.grmm.util | Mallet |
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SourceLocation2TokenSequence | Read from File or BufferedRead in the data field and produce a TokenSequence. | Class | cc.mallet.pipe | Mallet |
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Span | A sub-section of a document, either linear or two-dimensional. | Interface | cc.mallet.extract | Mallet |
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SparseMatrixn | number of dimensions. | Class | cc.mallet.types | Mallet |
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SparseMessageSender | Created: Jun 1, 2005Version:$Id: SparseMessageSender. | Class | cc.mallet.grmm.inference.gbp | Mallet |
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SparseVector | A vector that allocates memory only for non-zero values. | Class | cc.mallet.types | Mallet |
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StateLabelMap | Maps states in the lattice to labels. | Class | cc.mallet.fst.semi_supervised | Mallet |
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StatFunctions | | Class | cc.mallet.util | Mallet |
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StochasticMetaAscent | | Class | cc.mallet.optimize | Mallet |
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StringAddNewLineDelimiter | Pipe that can adds special text between lines to explicitly represent line breaks. | Class | cc.mallet.pipe | Mallet |
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StringArrayIterator | Constructor SummaryStringArrayIterator(java. | Class | cc.mallet.pipe.iterator | Mallet |
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StringEditFeatureVectorSequence | | Class | cc.mallet.types | Mallet |
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StringEditVector | See Also:Serialized FormConstructor SummaryStringEditVector() | Class | cc.mallet.types | Mallet |
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StringKernel | Computes a similarity metric between two strings, based on counts of common subsequences of characters. | Class | cc.mallet.types | Mallet |
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StringList2FeatureSequence | Convert a list of strings into a feature sequenceSee Also:Serialized Form | Class | cc.mallet.pipe | Mallet |
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Strings | Static utility methods for StringsConstructor SummaryStrings() | Class | cc.mallet.util | Mallet |
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StringSpan | A sub-section of a linear string. | Class | cc.mallet.extract | Mallet |
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StringTokenization | See Also:Serialized FormFields inherited from class java. | Class | cc.mallet.extract | Mallet |
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SumLattice | Interface to perform forward-backward during training of a transducer. | Interface | cc.mallet.fst | Mallet |
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SumLatticeBeam | | Class | cc.mallet.fst | Mallet |
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SumLatticeConstrained | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.fst | Mallet |
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SumLatticeDefault | | Class | cc.mallet.fst | Mallet |
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SumLatticeDefaultCachedDot | | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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SumLatticeFactory | Provides factory methods to create inference engine for training a transducer. | Class | cc.mallet.fst | Mallet |
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SumLatticeKL | Lattice for M-step/M-projection in PR. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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SumLatticePR | Lattice for E-step/I-projection in PR. | Class | cc.mallet.fst.semi_supervised.pr | Mallet |
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SumLatticeScaling | | Class | cc.mallet.fst | Mallet |
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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 |
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SvmLight2FeatureVectorAndLabel | This Pipe converts a line in SVMLight format to a Mallet instance with FeatureVector data and | Class | cc.mallet.pipe | Mallet |
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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 |
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TableFactor | Created: Jan 4, 2006Version:$Id: TableFactor. | Class | cc.mallet.grmm.types | Mallet |
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Target2BIOFormat | Creates a LabelSequence out of a TokenSequence that is the target of an Instance. | Class | cc.mallet.pipe.tsf | Mallet |
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Target2FeatureSequence | Convert a token sequence in the target field into a feature sequence in the target field. | Class | cc.mallet.pipe | Mallet |
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Target2Label | Convert object in the target field into a label in the target field. | Class | cc.mallet.pipe | Mallet |
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Target2LabelSequence | convert a token sequence in the target field into a label sequence in the target field. | Class | cc.mallet.pipe | Mallet |
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TargetRememberLastLabel | For each position in the target, remember the last non-background label. | Class | cc.mallet.pipe | Mallet |
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TargetStringToFeatures | See Also:Serialized FormConstructor SummaryTargetStringToFeatures() | Class | cc.mallet.pipe | Mallet |
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TestAbstractBeliefPropagation | $Id: TestAbstractBeliefPropagation. | Class | cc.mallet.grmm.test | Mallet |
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TestAlphabet | Created: Nov 24, 2004Version:$Id: TestAlphabet. | Class | cc.mallet.types.tests | Mallet |
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TestAssignment | Created: Aug 11, 2004Version:$Id: TestAssignment. | Class | cc.mallet.grmm.test | Mallet |
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TestAssignmentIterator | Created: Aug 11, 2004Version:$Id: TestAssignmentIterator. | Class | cc.mallet.grmm.test | Mallet |
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TestAStar | Created by IntelliJ IDEA. | Class | cc.mallet.util.tests | Mallet |
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TestAugmentableFeatureVector | Created: Dec 30, 2004Version:$Id: TestAugmentableFeatureVector. | Class | cc.mallet.types.tests | Mallet |
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TestBetaFactor | $Id: TestBetaFactor. | Class | cc.mallet.grmm.test | Mallet |
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TestBitVarSet | Created: Aug 22, 2005Version:$Id: TestBitVarSet. | Class | cc.mallet.grmm.test | Mallet |
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TestClassifiers | Constructor SummaryTestClassifiers(java. | Class | cc.mallet.classify.tests | Mallet |
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TestClusteringEvaluators | Examples drawn from Luo, "On Coreference Resolution Performance Metrics", HLT 2005. | Class | cc.mallet.cluster.evaluate.tests | Mallet |
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TestCRF | Tests for CRF training. | Class | cc.mallet.fst.tests | Mallet |
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TestCRFPipe | Constructor SummaryTestCRFPipe(java. | Class | cc.mallet.examples | Mallet |
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TestDirectedModel | Created: Mar 28, 2005Version:$Id: TestDirectedModel. | Class | cc.mallet.grmm.test | Mallet |
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TestDocumentExtraction | Created: Oct 12, 2004Version:$Id: TestDocumentExtraction. | Class | cc.mallet.extract.test | Mallet |
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TestDocumentViewer | Created: Mar 30, 2005Version:$Id: TestDocumentViewer. | Class | cc.mallet.extract.test | Mallet |
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TestFactorGraph | Created: Mar 17, 2005Version:$Id: TestFactorGraph. | Class | cc.mallet.grmm.test | Mallet |
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TestFactors | Created: Mar 28, 2005Version:$Id: TestFactors. | Class | cc.mallet.grmm.test | Mallet |
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TestFeatureSequence | Constructor SummaryTestFeatureSequence(java. | Class | cc.mallet.types.tests | Mallet |
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TestFeatureTransducer | Constructor SummaryTestFeatureTransducer(java. | Class | cc.mallet.fst.tests | Mallet |
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TestFeatureVector | Constructor SummaryTestFeatureVector(java. | Class | cc.mallet.types.tests | Mallet |
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TestGenericAcrfData2TokenSequence | Created: Sep 15, 2005Version:$Id: TestGenericAcrfData2TokenSequence. | Class | cc.mallet.grmm.test | Mallet |
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TestGibbsSampler | $Id: TestGibbsSampler. | Class | cc.mallet.grmm.test | Mallet |
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TestHashClique | Created: Aug 22, 2005Version:$Id: TestHashClique. | Class | cc.mallet.grmm.test | Mallet |
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TestHashedSparseVector | Constructor SummaryTestHashedSparseVector(java. | Class | cc.mallet.types.tests | Mallet |
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TestIndexedSparseVector | Constructor SummaryTestIndexedSparseVector(java. | Class | cc.mallet.types.tests | Mallet |
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TestInference | Torture tests of inference in GRMM. | Class | cc.mallet.grmm.test | Mallet |
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TestInstanceListWeights | Constructor SummaryTestInstanceListWeights()Methods inherited from class java. | Class | cc.mallet.types.tests | Mallet |
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TestInstancePipe | | Class | cc.mallet.pipe.tests | Mallet |
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TestIterators | | Class | cc.mallet.cluster.iterator.tests | Mallet |
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TestIterators | Unit Test for PipeInputIterators Created: Thu Feb 26 14:27:15 2004 | Class | cc.mallet.pipe.tests | Mallet |
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TestLabelAlphabet | Created: Nov 24, 2004Version:$Id: TestLabelAlphabet. | Class | cc.mallet.types.tests | Mallet |
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TestLabelsSequence | Created: Sep 21, 2004Version:$Id: TestLabelsSequence. | Class | cc.mallet.types.tests | Mallet |
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TestLabelVector | Constructor SummaryTestLabelVector(java. | Class | cc.mallet.types.tests | Mallet |
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TestLatticeViewer | Created: Oct 31, 2004Version:$Id: TestLatticeViewer. | Class | cc.mallet.extract.test | Mallet |
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TestListVarSet | Created: Aug 22, 2005Version:$Id: TestListVarSet. | Class | cc.mallet.grmm.test | Mallet |
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TestLogTableFactor | Created: Aug 17, 2004Version:$Id: TestLogTableFactor. | Class | cc.mallet.grmm.test | Mallet |
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TestMaths | Created: Oct 31, 2004Version:$Id: TestMaths. | Class | cc.mallet.util.tests | Mallet |
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TestMatrix | Constructor SummaryTestMatrix(java. | Class | cc.mallet.types.tests | Mallet |
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TestMatrixn | Created: Aug 30, 2004Version:$Id: TestMatrixn. | Class | cc.mallet.types.tests | Mallet |
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TestMaxEntTrainer | Constructor SummaryTestMaxEntTrainer(java. | Class | cc.mallet.classify.tests | Mallet |
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TestMEMM | Tests for MEMM training. | Class | cc.mallet.fst.tests | Mallet |
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TestMIntInt2ObjectMap | Created: Dec 14, 2005Version:$Id: TestMIntInt2ObjectMap. | Class | cc.mallet.grmm.test | Mallet |
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TestMultinomial | Constructor SummaryTestMultinomial(java. | Class | cc.mallet.types.tests | Mallet |
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TestNaiveBayes | Constructor SummaryTestNaiveBayes(java. | Class | cc.mallet.classify.tests | Mallet |
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TestNormalFactor | $Id: TestNormalFactor. | Class | cc.mallet.grmm.test | Mallet |
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TestOffsetConjunctions | Constructor SummaryTestOffsetConjunctions(java. | Class | cc.mallet.pipe.tsf.tests | Mallet |
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TestOffsetFeatureConjunctions | $Id: TestOffsetFeatureConjunctions. | Class | cc.mallet.pipe.tsf.tests | Mallet |
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TestOptimizable | Contains static methods for testing subclasses of Maximizable and Maximizable. | Class | cc.mallet.optimize.tests | Mallet |
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TestOptimizer | Unit Test for class TestMaximizer. | Class | cc.mallet.optimize.tests | Mallet |
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TestPagedInstanceList | Created: Apr 19, 2005Version:$Id: TestPagedInstanceList. | Class | cc.mallet.types.tests | Mallet |
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TestPatternMatchIterator | Constructor SummaryTestPatternMatchIterator(java. | Class | cc.mallet.pipe.iterator.tests | Mallet |
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TestPerDocumentF1Evaluator | Created: Nov 18, 2004Version:$Id: TestPerDocumentF1Evaluator. | Class | cc.mallet.extract.test | Mallet |
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TestPipeUtils | Created: Aug 28, 2005Version:$Id: TestPipeUtils. | Class | cc.mallet.pipe.tests | Mallet |
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TestPottsFactor | $Id: TestPottsFactor. | Class | cc.mallet.grmm.test | Mallet |
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TestPriorityQueue | Created by IntelliJ IDEA. | Class | cc.mallet.util.tests | Mallet |
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TestPropertyList | Constructor SummaryTestPropertyList(java. | Class | cc.mallet.util.tests | Mallet |
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TestRainbowStyle | Constructor SummaryTestRainbowStyle(java. | Class | cc.mallet.pipe.tests | Mallet |
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TestRandom | Created: Jan 19, 2005Version:$Id: TestRandom. | Class | cc.mallet.util.tests | Mallet |
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TestRandomGraphs | Created: Mar 26, 2005Version:$Id: TestRandomGraphs. | Class | cc.mallet.grmm.test | Mallet |
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TestRankedFeatureVector | Constructor SummaryTestRankedFeatureVector(java. | Class | cc.mallet.types.tests | Mallet |
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TestSequencePrintingPipe | Created: Jul 8, 2005Version:$Id: TestSequencePrintingPipe. | Class | cc.mallet.pipe.tsf.tests | Mallet |
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TestSerializable | Static utility for testing serializable classes in MALLET. | Class | cc.mallet.types.tests | Mallet |
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TestSGML2TokenSequence | | Class | cc.mallet.pipe.tests | Mallet |
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TestSpacePipe | Unit Test for class TestSpacePipe. | Class | cc.mallet.pipe.tests | Mallet |
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TestSparseMatrixn | Created: Aug 30, 2004Version:$Id: TestSparseMatrixn. | Class | cc.mallet.types.tests | Mallet |
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TestSparseVector | Constructor SummaryTestSparseVector(java. | Class | cc.mallet.types.tests | Mallet |
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TestStaticParameters | | Class | cc.mallet.classify.tests | Mallet |
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TestStrings | Created: Jan 19, 2005Version:$Id: TestStrings. | Class | cc.mallet.util.tests | Mallet |
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TestSumNegLogProb2 | Constructor SummaryTestSumNegLogProb2(java. | Class | cc.mallet.fst.tests | Mallet |
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TestTableFactor | Created: Aug 17, 2004Version:$Id: TestTableFactor. | Class | cc.mallet.grmm.test | Mallet |
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TestToken | Constructor SummaryTestToken(java. | Class | cc.mallet.types.tests | Mallet |
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TestTRP | $Id: TestTRP. | Class | cc.mallet.grmm.test | Mallet |
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TestUndirectedModel | Created: Mar 17, 2005Version:$Id: TestUndirectedModel. | Class | cc.mallet.grmm.test | Mallet |
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TestUniformFactor | $Id: TestUniformFactor. | Class | cc.mallet.grmm.test | Mallet |
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TestUniNormalFactor | $Id: TestUniNormalFactor. | Class | cc.mallet.grmm.test | Mallet |
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Text2Classify | Command line tool for classifying a sequence of instances directly from text input, without | Class | cc.mallet.classify.tui | Mallet |
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Text2Clusterings | | Class | cc.mallet.cluster.tui | Mallet |
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Text2Vectors | Convert document files into vectors (a persistent instance list). | Class | cc.mallet.classify.tui | Mallet |
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THashMultiMap | Version of THashMap where every key is mapped to a list of objects. | Class | cc.mallet.grmm.util | Mallet |
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ThreadedOptimizable | An adaptor for optimizables based on batch values/gradients. | Class | cc.mallet.fst | Mallet |
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Timing | A class for timing things. | Class | cc.mallet.util | Mallet |
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Token | A representation of a piece of text, usually a single word, to which we can attach properties. | Class | cc.mallet.types | Mallet |
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Token2FeatureVector | convert the property list on a token into a feature vectorAuthor:Andrew McCallum mccallum@cs. | Class | cc.mallet.pipe | Mallet |
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TokenAccuracyEvaluator | Evaluates a transducer model based on predictions of individual tokens. | Class | cc.mallet.fst | Mallet |
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TokenFirstPosition | See Also:Serialized FormConstructor SummaryTokenFirstPosition() | Class | cc.mallet.pipe.tsf | Mallet |
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Tokenization | | Interface | cc.mallet.extract | Mallet |
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TokenizationFilter | Created: Nov 12, 2004Version:$Id: TokenizationFilter. | Interface | cc.mallet.extract | Mallet |
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TokenSequence | A representation of a piece of text, usually a single word, to which we can attach properties. | Class | cc.mallet.types | Mallet |
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TokenSequence2FeatureSequence | Convert the token sequence in the data field each instance to a feature sequence. | Class | cc.mallet.pipe | Mallet |
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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 |
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TokenSequence2FeatureVectorSequence | Convert the token sequence in the data field of each instance to a feature vector sequence. | Class | cc.mallet.pipe | Mallet |
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TokenSequence2TokenInstances | See Also:Serialized FormConstructor SummaryTokenSequence2TokenInstances() | Class | cc.mallet.pipe | Mallet |
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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 |
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TokenSequenceDocHeader | See Also:Serialized FormConstructor SummaryTokenSequenceDocHeader() | Class | cc.mallet.share.mccallum.ner | Mallet |
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TokenSequenceLowercase | Convert the text in each token in the token sequence in the data field to lower case. | Class | cc.mallet.pipe | Mallet |
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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 |
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TokenSequenceNGrams | Convert the token sequence in the data field to a token sequence of ngrams. | Class | cc.mallet.pipe | Mallet |
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TokenSequenceParseFeatureString | Convert the string in each field Token. | Class | cc.mallet.pipe | Mallet |
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TokenSequenceRemoveNonAlpha | Remove tokens that contain non-alphabetic characters. | Class | cc.mallet.pipe | Mallet |
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TokenSequenceRemoveStopwords | Remove tokens from the token sequence in the data field whose text is in the stopword list. | Class | cc.mallet.pipe | Mallet |
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TokenText | See Also:Serialized FormConstructor SummaryTokenText() | Class | cc.mallet.pipe.tsf | Mallet |
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TokenTextCharNGrams | See Also:Serialized FormConstructor SummaryTokenTextCharNGrams() | Class | cc.mallet.pipe.tsf | Mallet |
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TokenTextCharPrefix | See Also:Serialized FormConstructor SummaryTokenTextCharPrefix() | Class | cc.mallet.pipe.tsf | Mallet |
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TokenTextCharSuffix | See Also:Serialized FormConstructor SummaryTokenTextCharSuffix() | Class | cc.mallet.pipe.tsf | Mallet |
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TokenTextNGrams | See Also:Serialized FormConstructor SummaryTokenTextNGrams() | Class | cc.mallet.pipe.tsf | Mallet |
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TopicalNGrams | Like Latent Dirichlet Allocation, but with integrated phrase discovery. | Class | cc.mallet.topics | Mallet |
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TopicAssignment | This class combines a sequence of observed features with a sequence of hidden "labels". | Class | cc.mallet.topics | Mallet |
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TopicInferencer | | Class | cc.mallet.topics | Mallet |
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TopicModel | | Class | cc.mallet.examples | Mallet |
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TopicModelDiagnostics | | Class | cc.mallet.topics | Mallet |
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TopicTrainer | Create a simple LDA topic model, with some reporting options. | Class | cc.mallet.topics.tui | Mallet |
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TrainCRF | Constructor SummaryTrainCRF(java. | Class | cc.mallet.examples | Mallet |
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TrainHMM | Constructor SummaryTrainHMM(java. | Class | cc.mallet.examples | Mallet |
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Transducer | A base class for all sequence models, analogous to classify. | Class | cc.mallet.fst | Mallet |
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TransducerConfidenceEstimator | Abstract class that estimates the confidence of a Segment extracted by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
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TransducerCorrector | Interface for transducerCorrectors, which correct a subset of the Segments produced by a Transducer. | Interface | cc.mallet.fst.confidence | Mallet |
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TransducerEvaluator | An abstract class to evaluate a transducer model. | Class | cc.mallet.fst | Mallet |
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TransducerExtractionConfidenceEstimator | Estimates the confidence in the labeling of a LabeledSpan using a TransducerConfidenceEstimator. | Class | cc.mallet.extract | Mallet |
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TransducerSequenceConfidenceEstimator | Abstract class that estimates the confidence of a Sequence extracted by a Transducer. | Class | cc.mallet.fst.confidence | Mallet |
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TransducerTrainer | An abstract class to train and evaluate a transducer model. | Class | cc.mallet.fst | Mallet |
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Tree | Class for arbitrary trees, based on implementation in OpenJGraph. | Class | cc.mallet.grmm.types | Mallet |
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TreeBP | in trees. | Class | cc.mallet.grmm.inference | Mallet |
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Trial | Stores the results of classifying a collection of Instances, and provides many methods for evaluating the results. | Class | cc.mallet.classify | Mallet |
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TrieLexiconMembership | See Also:Serialized FormConstructor SummaryTrieLexiconMembership(java. | Class | cc.mallet.pipe.tsf | Mallet |
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TRP | in general graphical models. | Class | cc.mallet.grmm.inference | Mallet |
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TUI | | Class | cc.mallet.share.mccallum.ner | Mallet |
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TUI | | Class | cc.mallet.share.weili.ner.enron | Mallet |
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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 |
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TwoLabelKLGEConstraints | A set of constraints on distributions over consecutive labels conditioned an input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
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TwoLabelL2GEConstraints | A set of constraints on distributions over consecutive labels conditioned an input features. | Class | cc.mallet.fst.semi_supervised.constraints | Mallet |
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UndirectedGrid | A grid-shaped undirected graphical model. | Class | cc.mallet.grmm.types | Mallet |
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UndirectedModel | Class for pairwise undirected graphical models, also known as pairwise Markov random fields. | Class | cc.mallet.grmm.types | Mallet |
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UniformFactor | $Id: UniformFactor. | Class | cc.mallet.grmm.types | Mallet |
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UniNormalFactor | Univariate Gaussian factor. | Class | cc.mallet.grmm.types | Mallet |
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Univariate | | Class | cc.mallet.util | Mallet |
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Universe | A global mapping between variables and indices. | Class | cc.mallet.grmm.types | Mallet |
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UnlabeledFileIterator | An iterator that generates instances from an initial directory or set of directories. | Class | cc.mallet.pipe.iterator | Mallet |
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UnmodifiableVarSet | Created: Dec 15, 2005Version:$Id: UnmodifiableVarSet. | Class | cc.mallet.grmm.types | Mallet |
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UriUtils | | Class | cc.mallet.util | Mallet |
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Utils | A bunch of static utilities useful for dealing with Inferencers. | Class | cc.mallet.grmm.inference | Mallet |
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Variable | Class for a discrete random variable in a graphical model. | Class | cc.mallet.grmm.types | Mallet |
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VariableElimination | The variable elimination algorithm for inference in graphical Created: Mon Sep 22 17:34:00 2003 | Class | cc.mallet.grmm.inference | Mallet |
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VarSet | Interface for classes that maintain a set of variables in a specified order. | Interface | cc.mallet.grmm.types | Mallet |
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Vector | | Interface | cc.mallet.types | Mallet |
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Vectors2Classify | Classify documents, run trials, print statistics from a vector file. | Class | cc.mallet.classify.tui | Mallet |
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Vectors2FeatureConstraints | Create "feature constraints" from data for use in GE training. | Class | cc.mallet.classify.tui | Mallet |
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Vectors2Info | Diagnostic facilities for a vector file. | Class | cc.mallet.classify.tui | Mallet |
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Vectors2Topics | Perform topic analysis in the style of LDA and its variants. | Class | cc.mallet.topics.tui | Mallet |
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Vectors2Vectors | A command-line tool for manipulating InstanceLists. | Class | cc.mallet.classify.tui | Mallet |
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VectorStats | | Class | cc.mallet.util | Mallet |
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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 |
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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 |
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ViterbiWriter | Prints the input instances along with the features and the true and predicted labels to a file. | Class | cc.mallet.fst | Mallet |
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Winnow | Classification methods of Winnow2 algorithm. | Class | cc.mallet.classify | Mallet |
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WinnowTrainer | An implementation of the training methods of a Winnow2 on-line classifier. | Class | cc.mallet.classify | Mallet |
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WordTransformation | | Class | cc.mallet.share.weili.ner | Mallet |
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WorkerRunnable | A parallel topic model runnable task. | Class | cc.mallet.topics | Mallet |