Uses of Class
cc.mallet.types.LabelAlphabet

Packages that use LabelAlphabet

cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.extract	Unimplemented.
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised.pr
cc.mallet.grmm.learning
cc.mallet.grmm.learning.extract
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.topics
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of LabelAlphabet in cc.mallet.classify

Methods in cc.mallet.classify that return LabelAlphabet

LabelAlphabet

Classifier.getLabelAlphabet()

Uses of LabelAlphabet in cc.mallet.extract

Methods in cc.mallet.extract that return LabelAlphabet

LabelAlphabet	Extraction.getLabelAlphabet()
LabelAlphabet	Extractor.getTargetAlphabet() Returns an alphabet of the labels used by the extractor.
LabelAlphabet	CRFExtractor.getTargetAlphabet()

Methods in cc.mallet.extract with parameters of type LabelAlphabet

LabeledSpans	TokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq) Converts a the sequence of labels into a set of labeled spans.
LabeledSpans	HierarchicalTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)
LabeledSpans	DefaultTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)
LabeledSpans	ConfidenceTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)
LabeledSpans	BIOTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)

Constructors in cc.mallet.extract with parameters of type LabelAlphabet

DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, LabeledSpans predictedSpans, LabeledSpans trueSpans, java.lang.String background)

DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, Sequence predicted, Sequence target, java.lang.String background)

DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, Sequence predicted, Sequence target, java.lang.String background, TokenizationFilter filter)

DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, Sequence predicted, java.lang.String background)

Extraction(Extractor extractor, LabelAlphabet dict)
Creates an empty Extraction option.

Extraction(Extractor extractor, LabelAlphabet dict, java.lang.String name, Tokenization input, Sequence output, java.lang.String background)
Creates an extration given a sequence output by some kind of per-sequece labeler, like an HMM or a CRF.

Uses of LabelAlphabet in cc.mallet.fst

Methods in cc.mallet.fst with parameters of type LabelAlphabet

SumLattice	SumLatticeScaling.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
abstract SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet) Returns a SumLattice object to run forward-backward.
SumLattice	SumLatticeDefault.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeBeam.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)

Constructors in cc.mallet.fst with parameters of type LabelAlphabet

SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, int[] constraints)
Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.

SumLatticeConstrained(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, int[] constraints)
Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.

SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)

Uses of LabelAlphabet in cc.mallet.fst.semi_supervised.pr

Constructors in cc.mallet.fst.semi_supervised.pr with parameters of type LabelAlphabet

SumLatticeDefaultCachedDot(Transducer trans, Sequence input, Sequence output, double[][][] cachedDots, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticePR(Transducer trans, int index, Sequence input, Sequence output, PRAuxiliaryModel auxModel, double[][][] cachedDots, boolean incrementConstraints, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, boolean saveXis)

Uses of LabelAlphabet in cc.mallet.grmm.learning

Methods in cc.mallet.grmm.learning that return LabelAlphabet

LabelAlphabet

GenericAcrfData2TokenSequence.getLabelAlphabet(int lvl)

Uses of LabelAlphabet in cc.mallet.grmm.learning.extract

Methods in cc.mallet.grmm.learning.extract that return LabelAlphabet

LabelAlphabet

ACRFExtractor.getTargetAlphabet()

Uses of LabelAlphabet in cc.mallet.grmm.types

Methods in cc.mallet.grmm.types that return LabelAlphabet

LabelAlphabet

Variable.getLabelAlphabet()

Constructors in cc.mallet.grmm.types with parameters of type LabelAlphabet

Variable(LabelAlphabet outs)
Creates a new variable with the given outcomes.

Variable(Universe universe, LabelAlphabet outs)

Uses of LabelAlphabet in cc.mallet.grmm.util

Methods in cc.mallet.grmm.util that return LabelAlphabet

LabelAlphabet

LabelsAssignment.getOutputAlphabet(int lvl)

Methods in cc.mallet.grmm.util with parameters of type LabelAlphabet

static LabelSequence

SliceLabelsSequence.sliceLabelsSequence(LabelsSequence lbls, LabelAlphabet dict, int slice)

Uses of LabelAlphabet in cc.mallet.pipe

Constructors in cc.mallet.pipe with parameters of type LabelAlphabet

Target2Label(Alphabet dataAlphabet, LabelAlphabet labelAlphabet)

Target2Label(LabelAlphabet labelAlphabet)

Uses of LabelAlphabet in cc.mallet.pipe.iterator

Methods in cc.mallet.pipe.iterator that return LabelAlphabet

LabelAlphabet

RandomFeatureVectorIterator.getLabelAlphabet()

Uses of LabelAlphabet in cc.mallet.topics

Fields in cc.mallet.topics declared as LabelAlphabet

protected LabelAlphabet	SimpleLDA.topicAlphabet
protected LabelAlphabet	PolylingualTopicModel.topicAlphabet
LabelAlphabet	ParallelTopicModel.topicAlphabet
protected LabelAlphabet	NPTopicModel.topicAlphabet
protected LabelAlphabet	LDAHyper.topicAlphabet Deprecated.

Methods in cc.mallet.topics that return LabelAlphabet

LabelAlphabet	SimpleLDA.getTopicAlphabet()
LabelAlphabet	PolylingualTopicModel.getTopicAlphabet()
LabelAlphabet	ParallelTopicModel.getTopicAlphabet()
LabelAlphabet	LDAHyper.getTopicAlphabet() Deprecated.

Constructors in cc.mallet.topics with parameters of type LabelAlphabet

LDAHyper(LabelAlphabet topicAlphabet, double alphaSum, double beta, Randoms random)
Deprecated.

LDAStream(LabelAlphabet topicAlphabet, double alphaSum, double beta, Randoms random)

ParallelTopicModel(LabelAlphabet topicAlphabet, double alphaSum, double beta)

PolylingualTopicModel(LabelAlphabet topicAlphabet, double alphaSum, Randoms random)

SimpleLDA(LabelAlphabet topicAlphabet, double alphaSum, double beta, Randoms random)

Uses of LabelAlphabet in cc.mallet.types

Methods in cc.mallet.types that return LabelAlphabet

LabelAlphabet	ROCData.getLabelAlphabet() Gets the label alphabet
LabelAlphabet	LabelVector.getLabelAlphabet()
LabelAlphabet	LabelSequence.getLabelAlphabet()
LabelAlphabet	Labeling.getLabelAlphabet()
LabelAlphabet	Label.getLabelAlphabet()
static LabelAlphabet	AlphabetFactory.labelAlphabetOfSize(int n) Create a dummy label alphabet with n dimensions

Constructors in cc.mallet.types with parameters of type LabelAlphabet

LabelSequence(LabelAlphabet dict, int capacity)

LabelSequence(LabelAlphabet dict, int[] features)

LabelVector(LabelAlphabet dict, double[] values)

LabelVector(LabelAlphabet dict, int[] features, double[] values)

NullLabel(LabelAlphabet alphabet)

ROCData(double[] thresholds, LabelAlphabet labelAlphabet)
Constructs a new object