Uses of Class
cc.mallet.types.FeatureVectorSequence

Packages that use FeatureVectorSequence

cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised
cc.mallet.grmm.examples
cc.mallet.grmm.learning
cc.mallet.grmm.learning.templates
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of FeatureVectorSequence in cc.mallet.fst

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

CRF.TransitionIterator(CRF.State source, FeatureVectorSequence inputSeq, int inputPosition, java.lang.String output, CRF crf)

MEMM.TransitionIterator(MEMM.State source, FeatureVectorSequence inputSeq, int inputPosition, java.lang.String output, CRF memm)

Uses of FeatureVectorSequence in cc.mallet.fst.semi_supervised

Methods in cc.mallet.fst.semi_supervised with parameters of type FeatureVectorSequence

void	GELattice.check(double[][] gammas, double[][][] xis, int li, int fi, FeatureVectorSequence fvs) Verifies the correctness of the lattice computations.
void	CRFOptimizableByGECriteria.computeGradient(FeatureVectorSequence input, double[][] gammas, double[][][] xis) Fills gradient from a single instance.
java.util.BitSet	GECriteria.getConstraintBitsForInstance(FeatureVectorSequence fvs) Returns bits for an instance, each bit corresponds to a feature index and is set if the feature is present in the instance.
double[]	GECriteria.getExpectationForInstance(int featureIndex, FeatureVectorSequence fvs, double[][] gammas) Returns the expectation of a feature in one instance.
protected int	GECriteria.getExpectationForInstance(int featureIndex, FeatureVectorSequence fvs, double[][] gammas, double[] expectation) Returns the number of times the feature occurred in the sequence (an instance).
static double	GELattice.logValueOfIndicatorFeature(FeatureVectorSequence fvs, int fi, int ip) Returns indicator value of feature at specified position in logspace.

Constructors in cc.mallet.fst.semi_supervised with parameters of type FeatureVectorSequence

EntropyLattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, Transducer.Incrementor incrementor, double scalingFactor)
Runs constrained forward-backward.

GELattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, Transducer.Incrementor incrementor, GECriteria geCriteria, boolean check)

Uses of FeatureVectorSequence in cc.mallet.grmm.examples

Methods in cc.mallet.grmm.examples with parameters of type FeatureVectorSequence

protected void

CrossTemplate1.addInstantiatedCliques(ACRF.UnrolledGraph graph, FeatureVectorSequence fvs, LabelsAssignment lblseq)

Uses of FeatureVectorSequence in cc.mallet.grmm.learning

Methods in cc.mallet.grmm.learning with parameters of type FeatureVectorSequence

protected abstract void	ACRF.SequenceTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph, FeatureVectorSequence fvs, LabelsAssignment lblseq) Adds all instiated cliques for an instance.
void	ACRF.BigramTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph, FeatureVectorSequence fvs, LabelsAssignment lblseq)
void	ACRF.UnigramTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph, FeatureVectorSequence fvs, LabelsAssignment lblseq)
void	ACRF.PairwiseFactorTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph, FeatureVectorSequence fvs, LabelsAssignment lblseq)

Uses of FeatureVectorSequence in cc.mallet.grmm.learning.templates

Methods in cc.mallet.grmm.learning.templates with parameters of type FeatureVectorSequence

void	SimilarTokensTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph, FeatureVectorSequence fvs, LabelsAssignment lblseq)

Uses of FeatureVectorSequence in cc.mallet.types

Subclasses of FeatureVectorSequence in cc.mallet.types

class

StringEditFeatureVectorSequence