Uses of Class
edu.umass.cs.mallet.base.types.Alphabet

Packages that use Alphabet

Package	Description
edu.umass.cs.mallet.base.classify
edu.umass.cs.mallet.base.extract
edu.umass.cs.mallet.base.fst
edu.umass.cs.mallet.base.pipe
edu.umass.cs.mallet.base.pipe.iterator
edu.umass.cs.mallet.base.types
edu.umass.cs.mallet.projects.seg_plus_coref.anaphora
edu.umass.cs.mallet.projects.seg_plus_coref.condclust.pipe
edu.umass.cs.mallet.projects.seg_plus_coref.coreference

Uses of Alphabet in edu.umass.cs.mallet.base.classify

Methods in edu.umass.cs.mallet.base.classify that return Alphabet

Modifier and Type	Method and Description
Alphabet	Classifier.getAlphabet()

Uses of Alphabet in edu.umass.cs.mallet.base.extract

Methods in edu.umass.cs.mallet.base.extract that return Alphabet

Modifier and Type	Method and Description
Alphabet	Extractor.getInputAlphabet() Returns an alphabet of the features used by the extractor.
Alphabet	CRFExtractor.getInputAlphabet()

Uses of Alphabet in edu.umass.cs.mallet.base.fst

Methods in edu.umass.cs.mallet.base.fst that return Alphabet

Modifier and Type	Method and Description
Alphabet	HMM.getInputAlphabet()
Alphabet	FeatureTransducer.getInputAlphabet()
Alphabet	CRFByGISUpdate.getInputAlphabet() Create a new CRF sharing Alphabet and other attributes, but possibly having a larger weights array.
Alphabet	CRF4.getInputAlphabet()
Alphabet	CRF3.getInputAlphabet() Create a new CRF sharing Alphabet and other attributes, but possibly having a larger weights array.
Alphabet	CRF2.getInputAlphabet() Create a new CRF sharing Alphabet and other attributes, but possibly having a larger weights array.
Alphabet	CRF.getInputAlphabet()
Alphabet	HMM.getOutputAlphabet()
Alphabet	FeatureTransducer.getOutputAlphabet()
Alphabet	CRFByGISUpdate.getOutputAlphabet()
Alphabet	CRF4.getOutputAlphabet()
Alphabet	CRF3.getOutputAlphabet()
Alphabet	CRF2.getOutputAlphabet()
Alphabet	CRF.getOutputAlphabet()

Constructors in edu.umass.cs.mallet.base.fst with parameters of type Alphabet

Constructor and Description
CRF(Alphabet inputAlphabet, Alphabet outputAlphabet)
CRF2(Alphabet inputAlphabet, Alphabet outputAlphabet)
CRF3(Alphabet inputAlphabet, Alphabet outputAlphabet)
CRF4(Alphabet inputAlphabet, Alphabet outputAlphabet)
CRFByGISUpdate(Alphabet inputAlphabet, Alphabet outputAlphabet)
FeatureTransducer(Alphabet dictionary)
FeatureTransducer(Alphabet inputAlphabet, Alphabet outputAlphabet)
HMM(Alphabet inputAlphabet, Alphabet outputAlphabet)
MEMM(Alphabet inputAlphabet, Alphabet outputAlphabet)

Uses of Alphabet in edu.umass.cs.mallet.base.pipe

Methods in edu.umass.cs.mallet.base.pipe that return Alphabet

Modifier and Type	Method and Description
Alphabet	TokenSequence2FeatureSequenceWithBigrams.getBigramAlphabet()
Alphabet	Pipe.getDataAlphabet()
Alphabet	AddClassifierTokenPredictions.getDataAlphabet()
Alphabet	Pipe.getTargetAlphabet()
protected Alphabet	SerialPipes.resolveDataAlphabet()
protected Alphabet	Pipe.resolveDataAlphabet()
protected Alphabet	ParallelPipes.resolveDataAlphabet()
protected Alphabet	IteratingPipe.resolveDataAlphabet()
protected Alphabet	SerialPipes.resolveTargetAlphabet()
protected Alphabet	Pipe.resolveTargetAlphabet()
protected Alphabet	ParallelPipes.resolveTargetAlphabet()
protected Alphabet	IteratingPipe.resolveTargetAlphabet()

Methods in edu.umass.cs.mallet.base.pipe with parameters of type Alphabet

Modifier and Type	Method and Description
AugmentableFeatureVectorAddConjunctions	AugmentableFeatureVectorAddConjunctions.addConjunction(String name, Alphabet v, int[] features, boolean[] negations)
void	Pipe.setDataAlphabet(Alphabet dDict)
void	Pipe.setTargetAlphabet(Alphabet tDict)

Constructors in edu.umass.cs.mallet.base.pipe with parameters of type Alphabet

Constructor and Description
Array2FeatureVector(Alphabet dataDict, Alphabet targetDict) Construct a pipe based on the dimensions of the data and target.
FeatureValueString2FeatureVector(Alphabet dataDict)
Noop(Alphabet dataDict, Alphabet targetDict)
Pipe(Alphabet dataDict, Alphabet targetDict) Construct pipe with data and target dictionaries.
Token2FeatureVector(Alphabet dataDict)
Token2FeatureVector(Alphabet dataDict, boolean binary, boolean augmentable)
TokenSequence2FeatureSequence(Alphabet dataDict)
TokenSequence2FeatureSequenceWithBigrams(Alphabet dataDict)
TokenSequence2FeatureVectorSequence(Alphabet dataDict)
TokenSequence2FeatureVectorSequence(Alphabet dataDict, boolean binary, boolean augmentable)

Uses of Alphabet in edu.umass.cs.mallet.base.pipe.iterator

Methods in edu.umass.cs.mallet.base.pipe.iterator that return Alphabet

Modifier and Type	Method and Description
Alphabet	RandomTokenSequenceIterator.getAlphabet()
Alphabet	RandomFeatureVectorIterator.getAlphabet()

Constructors in edu.umass.cs.mallet.base.pipe.iterator with parameters of type Alphabet

Constructor and Description
RandomFeatureVectorIterator(Random r, Alphabet vocab, String[] classnames)
RandomTokenSequenceIterator(Random r, Alphabet vocab, String[] classnames)

Uses of Alphabet in edu.umass.cs.mallet.base.types

Subclasses of Alphabet in edu.umass.cs.mallet.base.types

Modifier and Type	Class and Description
class	LabelAlphabet A mapping from arbitrary objects (usually String's) to integers (and corresponding Label objects) and back.

Methods in edu.umass.cs.mallet.base.types that return Alphabet

Modifier and Type	Method and Description
Alphabet	Multinomial.getAlphabet()
Alphabet	Label.getAlphabet()
Alphabet	FeatureVector.getAlphabet()
Alphabet	FeatureSequence.getAlphabet()
Alphabet	FeatureSelection.getAlphabet()
Alphabet	Dirichlet.getAlphabet()
Alphabet	DenseFeatureVector.getAlphabet()
Alphabet	FeatureSequenceWithBigrams.getBiAlphabet()
Alphabet	InstanceList.getDataAlphabet() Returns the Alphabet mapping features of the data to integers.
Alphabet	InstanceList.Stream.getDataAlphabet()
Alphabet	InstanceList.getTargetAlphabet() Returns the Alphabet mapping target output labels to integers.
Alphabet	InstanceList.Stream.getTargetAlphabet()

Methods in edu.umass.cs.mallet.base.types with parameters of type Alphabet

Modifier and Type	Method and Description
static FeatureSelection	FeatureSelection.createFromRegex(Alphabet dictionary, Pattern regex) Creates a FeatureSelection that includes only those features whose names match a given regex.
static boolean	FeatureConjunction.featuresOverlap(Alphabet dictionary, int feature1, int feature2)
static int[]	FeatureConjunction.getFeatureIndices(Alphabet dictionary, String featureConjunctionName)
static String	FeatureConjunction.getName(Alphabet dictionary, int[] features)
static String	FeatureConjunction.getName(Alphabet dictionary, int[] features, boolean[] negations)
static String	FeatureConjunction.getName(Alphabet dictionary, int feature1, int feature2)
static int[]	FeatureVector.getObjectIndices(Object[] entries, Alphabet dict, boolean addIfNotPresent)
void	Multinomial.Estimator.setAlphabet(Alphabet d)
FeatureSequence	TokenSequence.toFeatureSequence(Alphabet dict)
FeatureVector	TokenSequence.toFeatureVector(Alphabet dict)
FeatureVector	Token.toFeatureVector(Alphabet dict, boolean binary)
FeatureVector	PropertyHolder.toFeatureVector(Alphabet dict, boolean binary)

Constructors in edu.umass.cs.mallet.base.types with parameters of type Alphabet

Constructor and Description
AugmentableFeatureVector(Alphabet dict)
AugmentableFeatureVector(Alphabet dict, boolean binary)
AugmentableFeatureVector(Alphabet dict, double[] values)
AugmentableFeatureVector(Alphabet dict, double[] values, int capacity)
AugmentableFeatureVector(Alphabet dict, int[] indices, double[] values, int capacity)
AugmentableFeatureVector(Alphabet dict, int[] indices, double[] values, int capacity, boolean copy)
AugmentableFeatureVector(Alphabet dict, int[] indices, double[] values, int capacity, boolean copy, boolean checkIndicesSorted)
AugmentableFeatureVector(Alphabet dict, int[] indices, double[] values, int capacity, int size, boolean copy, boolean checkIndicesSorted, boolean removeDuplicates) To make a binary vector, pass null for "values"
AugmentableFeatureVector(Alphabet dict, int capacity, boolean binary)
AugmentableFeatureVector(Alphabet dict, PropertyList pl, boolean binary)
AugmentableFeatureVector(Alphabet dict, PropertyList pl, boolean binary, boolean growAlphabet)
DenseFeatureVector(Alphabet dict, double[] values)
Dirichlet(Alphabet dict)
Dirichlet(Alphabet dict, double alpha)
Dirichlet(double[] alphas, Alphabet dict)
Estimator(Alphabet dictionary)
Estimator(double[] counts, Alphabet dictionary)
Estimator(double[] counts, int size, Alphabet dictionary)
FeatureConjunction(Alphabet dictionary, int[] features)
FeatureConjunction(Alphabet dictionary, int[] features, boolean[] negations)
FeatureConjunction(String name, Alphabet dictionary, int[] features, boolean[] negations)
FeatureConjunction(String name, Alphabet dictionary, int[] features, boolean[] negations, boolean checkSorted)
FeatureConjunction(String name, Alphabet dictionary, int[] features, boolean[] negations, boolean checkSorted, boolean copyFeatures, boolean copyNegations) If negations[i] is true, insist that the feature has non-zero value; if false, insist that it has zero value.
FeatureCounts(Alphabet vocab, double[] counts)
FeatureSelection(Alphabet dictionary)
FeatureSelection(Alphabet dictionary, BitSet selectedFeatures)
FeatureSequence(Alphabet dict)
FeatureSequence(Alphabet dict, int capacity)
FeatureSequence(Alphabet dict, int[] features) Creates a FeatureSequence given all of the objects in the sequence.
FeatureSequence(Alphabet dict, int[] features, int len)
FeatureSequenceWithBigrams(Alphabet dict, Alphabet bigramDictionary, TokenSequence ts)
FeatureVector(Alphabet dict, double[] values) Create a dense vector
FeatureVector(Alphabet dict, int[] featureIndices) Create binary vector
FeatureVector(Alphabet dict, int[] featureIndices, double[] values) Create non-binary vector, possibly dense if "featureIndices" or possibly sparse, if not
FeatureVector(Alphabet dict, int[] indices, double[] values, int capacity, int size, boolean copy, boolean checkIndicesSorted, boolean removeDuplicates)
FeatureVector(Alphabet dict, Object[] keys, double[] values)
FeatureVector(Alphabet dict, PropertyList pl, boolean binary)
FeatureVector(Alphabet dict, PropertyList pl, boolean binary, boolean growAlphabet)
FeatureVector(FeatureVector fv, Alphabet newVocab, FeatureSelection fsNarrow, FeatureSelection fsWide)
FeatureVector(FeatureVector fv, Alphabet newVocab, int[] conjunctions) New feature vector containing all the features of "fv", plus new features created by making conjunctions between the features in "conjunctions" and all the other features.
FeatureVectorSequence(Alphabet dict, TokenSequence tokens)
FeatureVectorSequence(Alphabet dict, TokenSequence tokens, boolean binary, boolean augmentable)
FeatureVectorSequence(Alphabet dict, TokenSequence tokens, boolean binary, boolean augmentable, boolean growAlphabet)
GainRatio(Alphabet dataAlphabet, double[] gainRatios, double[] splitPoints, double baseEntropy, LabelVector baseLabelDistribution, int numSplitPointsForBestFeature, int minNumInsts)
InfoGain(Alphabet vocab, double[] infogains)
InstanceList(Alphabet dataVocab, Alphabet targetVocab) Creates a list which will not pass added instances through a pipe.
InstanceList(Random r, Alphabet vocab, String[] classNames, int meanInstancesPerLabel)
LabelSequence(Alphabet dict)
LaplaceEstimator(Alphabet dictionary)
Logged(double[] probabilities, Alphabet dictionary)
Logged(double[] probabilities, Alphabet dictionary, boolean areLoggedAlready)
Logged(double[] probabilities, Alphabet dictionary, int size)
Logged(double[] probabilities, Alphabet dictionary, int size, boolean areLoggedAlready)
MEstimator(Alphabet dictionary, double m)
MLEstimator(Alphabet dictionary)
Multinomial(double[] probabilities, Alphabet dictionary)
Multinomial(double[] probabilities, Alphabet dictionary, int size, boolean copy, boolean checkSum)
PartiallyRankedFeatureVector(Alphabet dict, AugmentableFeatureVector v)
PartiallyRankedFeatureVector(Alphabet dict, DenseVector v)
PartiallyRankedFeatureVector(Alphabet dict, double[] values)
PartiallyRankedFeatureVector(Alphabet dict, int[] indices, double[] values)
PartiallyRankedFeatureVector(Alphabet dict, SparseVector v)
RankedFeatureVector(Alphabet dict, AugmentableFeatureVector v)
RankedFeatureVector(Alphabet dict, DenseVector v)
RankedFeatureVector(Alphabet dict, double[] values)
RankedFeatureVector(Alphabet dict, int[] indices, double[] values)
RankedFeatureVector(Alphabet dict, SparseVector v)
SparseVector(Alphabet dict, PropertyList pl, boolean binary)
SparseVector(Alphabet dict, PropertyList pl, boolean binary, boolean growAlphabet)

Uses of Alphabet in edu.umass.cs.mallet.projects.seg_plus_coref.anaphora

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.anaphora with parameters of type Alphabet

Constructor and Description
MentionPair2FeatureVector(Alphabet dataDict)
MentionPair2FeatureVectorFilter(Alphabet dataDict)

Uses of Alphabet in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.pipe

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.condclust.pipe with parameters of type Alphabet

Constructor and Description
NodeClusterPair2FeatureVector(Alphabet dataDict)
VenuePaperCluster2FeatureVector(Alphabet dataDict)

Uses of Alphabet in edu.umass.cs.mallet.projects.seg_plus_coref.coreference

Constructors in edu.umass.cs.mallet.projects.seg_plus_coref.coreference with parameters of type Alphabet

Constructor and Description
SGMLStringDistances(Alphabet dataDict)
StringDistances(Alphabet dataDict)