Uses of Package
cc.mallet.fst

Packages that use cc.mallet.fst

cc.mallet.extract	Unimplemented.
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.confidence
cc.mallet.pipe.iterator	Classes that generate instances from different kinds of input or data structures.

Classes in cc.mallet.fst used by cc.mallet.extract

CRF

Classes in cc.mallet.fst used by cc.mallet.fst

CacheStaleIndicator
Indicates when the value/gradient during training becomes stale.

CRF

CRF.Factors
A simple, transparent container to hold the parameters or sufficient statistics for the CRF.

CRF.State

CRF.TransitionIterator

CRFOptimizableByLabelLikelihood
An objective function for CRFs that is the label likelihood plus a Gaussian or hyperbolic prior on parameters.

CRFTrainerByValueGradients.OptimizableCRF
An optimizable CRF that contains a collection of objective functions.

FeatureTransducer

FeatureTransducer.State

HMM
Hidden Markov Model

HMM.State

MaxLattice
The interface to classes implementing the Viterbi algorithm, finding the best sequence of states for a given input sequence.

MaxLatticeFactory

MEMM

MEMM.State

MEMMTrainer.MEMMOptimizableByLabelLikelihood

Segment
Represents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extracted from an input Sequence.

SegmentationEvaluator

SumLattice

SumLatticeDefault
Default, full dynamic programming implementation of the Forward-Backward "Sum-(Product)-Lattice" algorithm

SumLatticeDefault.LatticeNode

SumLatticeFactory

Transducer

Transducer.Incrementor
Methods to be called by inference methods to indicate partial counts of sufficient statistics.

Transducer.State

Transducer.TransitionIterator

TransducerEvaluator
An abstract class to evaluate a transducer model.

TransducerTrainer
An abstract class to train and evaluate a transducer model.

TransducerTrainer.ByIncrements

TransducerTrainer.ByInstanceIncrements

TransducerTrainer.ByOptimization

Classes in cc.mallet.fst used by cc.mallet.fst.confidence

Segment
Represents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extracted from an input Sequence.

SumLatticeDefault
Default, full dynamic programming implementation of the Forward-Backward "Sum-(Product)-Lattice" algorithm

Transducer

Classes in cc.mallet.fst used by cc.mallet.pipe.iterator

Segment
Represents a labelled chunk of a Sequence segmented by a Transducer, usually corresponding to some object extracted from an input Sequence.

Transducer