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(java.util.ArrayList<GEConstraint> constraints, double[][] gammas, double[][][] xis, FeatureVectorSequence fvs)
          Verifies the correctness of the lattice computations.
 

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, int[][] reverseTrans, int[][] reverseTransIndices, CRF.Factors gradient, java.util.ArrayList<GEConstraint> constraints, 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