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| 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 |
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| Constructors in cc.mallet.fst with parameters of type FeatureVectorSequence | |
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CRF.TransitionIterator(CRF.State source,
FeatureVectorSequence inputSeq,
int inputPosition,
java.lang.String output,
CRF crf)
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MEMM.TransitionIterator(MEMM.State source,
FeatureVectorSequence inputSeq,
int inputPosition,
java.lang.String output,
CRF memm)
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| Uses of FeatureVectorSequence in cc.mallet.fst.semi_supervised |
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| Methods in cc.mallet.fst.semi_supervised with parameters of type FeatureVectorSequence | |
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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. |
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GELattice(FeatureVectorSequence fvs,
double[][] gammas,
double[][][] xis,
Transducer transducer,
int[][] reverseTrans,
int[][] reverseTransIndices,
CRF.Factors gradient,
java.util.ArrayList<GEConstraint> constraints,
boolean check)
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| Uses of FeatureVectorSequence in cc.mallet.grmm.examples |
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| Methods in cc.mallet.grmm.examples with parameters of type FeatureVectorSequence | |
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protected void |
CrossTemplate1.addInstantiatedCliques(ACRF.UnrolledGraph graph,
FeatureVectorSequence fvs,
LabelsAssignment lblseq)
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| Uses of FeatureVectorSequence in cc.mallet.grmm.learning |
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| Methods in cc.mallet.grmm.learning with parameters of type FeatureVectorSequence | |
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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)
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void |
ACRF.UnigramTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph,
FeatureVectorSequence fvs,
LabelsAssignment lblseq)
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void |
ACRF.PairwiseFactorTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph,
FeatureVectorSequence fvs,
LabelsAssignment lblseq)
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| Uses of FeatureVectorSequence in cc.mallet.grmm.learning.templates |
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| Methods in cc.mallet.grmm.learning.templates with parameters of type FeatureVectorSequence | |
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void |
SimilarTokensTemplate.addInstantiatedCliques(ACRF.UnrolledGraph graph,
FeatureVectorSequence fvs,
LabelsAssignment lblseq)
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| Uses of FeatureVectorSequence in cc.mallet.types |
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| Subclasses of FeatureVectorSequence in cc.mallet.types | |
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class |
StringEditFeatureVectorSequence
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