Uses of Package
cc.mallet.types

Packages that use cc.mallet.types

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 of Instance objects within an InstanceList.
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.grmm.examples
cc.mallet.grmm.learning
cc.mallet.grmm.learning.extract
cc.mallet.grmm.learning.templates
cc.mallet.grmm.types
cc.mallet.grmm.util
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.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

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.

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 a FeatureVector.

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

FeatureVector
A subset of an Alphabet in 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

FeatureVector
A subset of an Alphabet in 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

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

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

Alphabet
A mapping between integers and objects where the mapping in each direction is efficient.

FeatureVector
A subset of an Alphabet in 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

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

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

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

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

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

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 of Sequence that ensures that every Object in the sequence has the same class.

FeatureVector
A subset of an Alphabet in 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.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

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

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

FeatureVector
A subset of an Alphabet in 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

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

FeatureVector
A subset of an Alphabet in 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

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

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.grmm.examples

FeatureVectorSequence

Classes in cc.mallet.types used by cc.mallet.grmm.learning

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.

FeatureVector
A subset of an Alphabet in 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.

LabelsSequence
A simple Sequence implementation where all of the elements must be Labels.

Matrix

Sequence

SparseVector
A vector that allocates memory only for non-zero values.

Classes in cc.mallet.types used by cc.mallet.grmm.learning.extract

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.

LabelAlphabet
A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.

Classes in cc.mallet.types used by cc.mallet.grmm.learning.templates

FeatureVector
A subset of an Alphabet in which each element of the subset has an associated value.

FeatureVectorSequence

Classes in cc.mallet.types used by cc.mallet.grmm.types

LabelAlphabet
A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.

Matrix

SparseMatrixn
Implementation of Matrix that allows arbitrary number of dimensions.

Classes in cc.mallet.types used by cc.mallet.grmm.util

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.

Label

LabelAlphabet
A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.

LabelSequence

LabelsSequence
A simple Sequence implementation where all of the elements must be Labels.

Matrix

Classes in cc.mallet.types used by cc.mallet.pipe

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.

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

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

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

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.casutton.ner

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

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

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

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

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

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

Alphabet
A mapping between integers and objects where the mapping in each direction is efficient.

FeatureSequence
An implementation of Sequence that ensures that every Object in the sequence has the same class.

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

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 of Sequence that ensures that every Object in the sequence has the same class.

FeatureVector
A subset of an Alphabet in 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.

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
CrossValidationIterator allows iterating over pairs of InstanceList, 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

Matrix2
Deprecated.

Metric

Multinomial
A probability distribution over a set of features represented as a FeatureVector.

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 in Trial results.

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

Alphabet
A mapping between integers and objects where the mapping in each direction is efficient.

FeatureVector
A subset of an Alphabet in 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.

Sequence

SparseVector
A vector that allocates memory only for non-zero values.