Uses of Class
cc.mallet.types.FeatureSequence

Packages that use FeatureSequence

Package	Description
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.topics
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of FeatureSequence in cc.mallet.fst

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

Constructor	Description
TransitionIterator(HMM.State source, FeatureSequence inputSeq, int inputPosition, java.lang.String output, HMM hmm)

Uses of FeatureSequence in cc.mallet.topics

Methods in cc.mallet.topics with parameters of type FeatureSequence

Modifier and Type	Method	Description
protected double[]	MarginalProbEstimator.leftToRight(FeatureSequence tokenSequence, boolean usingResampling)
protected void	LabeledLDA.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureVector labels, FeatureSequence topicSequence)
protected void	LDAHyper.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureSequence topicSequence, boolean shouldSaveState, boolean readjustTopicsAndStats)	Deprecated.
protected void	NPTopicModel.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureSequence topicSequence)
protected void	SimpleLDA.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureSequence topicSequence)
protected void	WeightedTopicModel.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureSequence topicSequence, boolean initializing, boolean debugging)
protected int	WorkerCallable.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureSequence topicSequence, boolean readjustTopicsAndStats)
protected void	WorkerRunnable.sampleTopicsForOneDoc(FeatureSequence tokenSequence, FeatureSequence topicSequence, boolean readjustTopicsAndStats)

Uses of FeatureSequence in cc.mallet.types

Subclasses of FeatureSequence in cc.mallet.types

Modifier and Type	Class	Description
class	FeatureSequenceWithBigrams	A FeatureSequence with a parallel record of bigrams, kept in a separate dictionary
class	LabelSequence

Methods in cc.mallet.types that return FeatureSequence

Modifier and Type	Method	Description
FeatureSequence	Dirichlet.randomFeatureSequence(Randoms r, int length)
FeatureSequence	Multinomial.randomFeatureSequence(Randoms r, int length)
FeatureSequence	TokenSequence.toFeatureSequence(Alphabet dict)

Methods in cc.mallet.types with parameters of type FeatureSequence

Modifier and Type	Method	Description
void	Multinomial.Estimator.increment(FeatureSequence fs)
void	Multinomial.Estimator.increment(FeatureSequence fs, double scale)

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

Constructor	Description
AugmentableFeatureVector(FeatureSequence fs, boolean binary)
FeatureVector(FeatureSequence fs)
FeatureVector(FeatureSequence fs, boolean binary)