Uses of Package
cc.mallet.types
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Packages that use cc.mallet.types Package Description cc.mallet.classify Classes for training and classifying instances.cc.mallet.classify.constraints.ge cc.mallet.classify.constraints.pr cc.mallet.classify.evaluate Classes for computing and displaying the quaility of a classification trial, including accuracy, precision, and confusion matrix.cc.mallet.classify.tui Command line programs for document classification.cc.mallet.cluster Unsupervised clustering ofInstanceobjects within anInstanceList.cc.mallet.cluster.iterator cc.mallet.cluster.tui cc.mallet.cluster.util cc.mallet.extract Unimplemented.cc.mallet.extract.pipe cc.mallet.fst Transducers, including Conditional Random Fields (CRFs).cc.mallet.fst.confidence cc.mallet.fst.semi_supervised cc.mallet.fst.semi_supervised.constraints cc.mallet.fst.semi_supervised.pr cc.mallet.fst.semi_supervised.pr.constraints cc.mallet.fst.semi_supervised.tui cc.mallet.fst.tests Tests for Transducers, including Conditional Random Fields (CRFs).cc.mallet.pipe Classes for processing arbitrary data into instances.cc.mallet.pipe.iterator Classes that generate instances from different kinds of input or data structures.cc.mallet.pipe.tests JUnit tests for pipes.cc.mallet.pipe.tsf TokenSequenceFeature Pipes.cc.mallet.regression cc.mallet.regression.tui cc.mallet.share.casutton.ner cc.mallet.share.mccallum.ner Named entity recognizer.cc.mallet.share.upenn Utilities that currently include a command line wrapper for the maxent classifier.cc.mallet.share.upenn.ner cc.mallet.share.weili.ner cc.mallet.share.weili.ner.enron cc.mallet.topics cc.mallet.types Fundamental MALLET types, including FeatureVector, Instance, Label etc.cc.mallet.util Miscellaneous utilities including command line processing, math functions, lexing, logging. -
Classes in cc.mallet.types used by cc.mallet.classify Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.AlphabetCarrying An interface for objects that contain one or more Alphabets.AugmentableFeatureVector FeatureSelection FeatureSelector GainRatio List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.Label LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.Labeler Labeling A distribution over possible labels for an instance.LabelVector Multinomial A probability distribution over a set of features represented as aFeatureVector.Multinomial.Estimator A hierarchy of classes used to produce estimates of probabilities, in the form of a Multinomial, from counts associated with the elements of an Alphabet.Multinomial.Logged A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi]. -
Classes in cc.mallet.types used by cc.mallet.classify.constraints.ge Class Description FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.classify.constraints.pr Class Description FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.classify.evaluate Class Description InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.classify.tui Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient. -
Classes in cc.mallet.types used by cc.mallet.cluster Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.Metric SparseVector A vector that allocates memory only for non-zero values. -
Classes in cc.mallet.types used by cc.mallet.cluster.iterator Class Description Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.cluster.tui Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.cluster.util Class Description Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.extract Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.ArrayListSequence Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.Label LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.LabelSequence PropertyHolder Author: saunders Created Nov 15, 2005 Copyright (C) Univ.Sequence Token A representation of a piece of text, usually a single word, to which we can attach properties.TokenSequence A representation of a piece of text, usually a single word, to which we can attach properties. -
Classes in cc.mallet.types used by cc.mallet.extract.pipe Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.fst Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.AlphabetCarrying An interface for objects that contain one or more Alphabets.FeatureInducer FeatureSelection FeatureSequence An implementation ofSequencethat ensures that every Object in the sequence has the same class.FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.FeatureVectorSequence Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.LabelVector Multinomial A probability distribution over a set of features represented as aFeatureVector.Multinomial.Estimator A hierarchy of classes used to produce estimates of probabilities, in the form of a Multinomial, from counts associated with the elements of an Alphabet.Sequence SequencePairAlignment SparseVector A vector that allocates memory only for non-zero values. -
Classes in cc.mallet.types used by cc.mallet.fst.confidence Class Description Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.Sequence -
Classes in cc.mallet.types used by cc.mallet.fst.semi_supervised Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.FeatureVectorSequence InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.LogNumber -
Classes in cc.mallet.types used by cc.mallet.fst.semi_supervised.constraints Class Description FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.fst.semi_supervised.pr Class Description InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.LabelVector Sequence -
Classes in cc.mallet.types used by cc.mallet.fst.semi_supervised.pr.constraints Class Description FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.fst.semi_supervised.tui Class Description InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.Sequence -
Classes in cc.mallet.types used by cc.mallet.fst.tests Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.pipe Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.AlphabetCarrying An interface for objects that contain one or more Alphabets.FeatureCounter Efficient, compact, incremental counting of features in an alphabet.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.TokenSequence A representation of a piece of text, usually a single word, to which we can attach properties. -
Classes in cc.mallet.types used by cc.mallet.pipe.iterator Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.Dirichlet Various useful functions related to Dirichlet distributions.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.Sequence -
Classes in cc.mallet.types used by cc.mallet.pipe.tests Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.pipe.tsf Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.regression Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.regression.tui Class Description InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm. -
Classes in cc.mallet.types used by cc.mallet.share.casutton.ner Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.share.mccallum.ner Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.share.upenn Class Description Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.share.upenn.ner Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.share.weili.ner Class Description Token A representation of a piece of text, usually a single word, to which we can attach properties. -
Classes in cc.mallet.types used by cc.mallet.share.weili.ner.enron Class Description AlphabetCarrying An interface for objects that contain one or more Alphabets.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms. -
Classes in cc.mallet.types used by cc.mallet.topics Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.FeatureSequence An implementation ofSequencethat ensures that every Object in the sequence has the same class.FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.IDSorter This class is contains a comparator for use in sorting integers that have associated floating point values.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.Labeling A distribution over possible labels for an instance.LabelSequence -
Classes in cc.mallet.types used by cc.mallet.types Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.AlphabetCarrying An interface for objects that contain one or more Alphabets.AugmentableFeatureVector CachedMetric Stores a hash for each object being compared for efficient computation.ChainedInstanceIterator Deprecated.ConstantMatrix DenseMatrix DenseVector Dirichlet Various useful functions related to Dirichlet distributions.Dirichlet.Estimator FeatureConjunction FeatureSelection FeatureSequence An implementation ofSequencethat ensures that every Object in the sequence has the same class.FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.FeatureVectorSequence FeatureVectorSequence.Iterator An iterator over the FeatureVectors in the sequence.GainRatio List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information.IDSorter This class is contains a comparator for use in sorting integers that have associated floating point values.InfoGain Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.InstanceList.CrossValidationIterator CrossValidationIteratorallows iterating over pairs ofInstanceList, where each pair is split into training/testing based on nfolds.Label LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.Labeling A distribution over possible labels for an instance.Labels Usually some distribution over possible labels for an instance.LabelSequence LabelSequence.Iterator LabelVector LogNumber Matrix Metric Multinomial A probability distribution over a set of features represented as aFeatureVector.Multinomial.Estimator A hierarchy of classes used to produce estimates of probabilities, in the form of a Multinomial, from counts associated with the elements of an Alphabet.Multinomial.MEstimator An Estimator in which probability estimates in a Multinomial are generated by adding a constant m (specified at construction time) to each count before dividing by the total of the m-biased counts.PartiallyRankedFeatureVector PropertyHolder Author: saunders Created Nov 15, 2005 Copyright (C) Univ.RankedFeatureVector RankedFeatureVector.Factory RankedFeatureVector.PerLabelFactory ROCData Tracks ROC data for instances inTrialresults.Sequence SequencePair SparseVector A vector that allocates memory only for non-zero values.Token A representation of a piece of text, usually a single word, to which we can attach properties.TokenSequence A representation of a piece of text, usually a single word, to which we can attach properties.Vector Deprecated. -
Classes in cc.mallet.types used by cc.mallet.util Class Description Alphabet A mapping between integers and objects where the mapping in each direction is efficient.FeatureVector A subset of anAlphabetin which each element of the subset has an associated value.Instance A machine learning "example" to be used in training, testing or performance of various machine learning algorithms.InstanceList A list of machine learning instances, typically used for training or testing of a machine learning algorithm.Sequence SparseVector A vector that allocates memory only for non-zero values.