Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

## Uses of Package
cc.mallet.types

Packages that use cc.mallet.types
cc.mallet.classify | Classes for training and classifying instances.
cc.mallet.classify.evaluate | Classes for computing and displaying the quaility of a classification trial, including accuracy, precision, and confusion matrix.
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.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.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.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.

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
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
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.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES