Uses of Interface
cc.mallet.fst.SumLattice

Packages that use SumLattice

cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised

Uses of SumLattice in cc.mallet.fst

Classes in cc.mallet.fst that implement SumLattice

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

Methods in cc.mallet.fst that return SumLattice

SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)
abstract SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet) Returns a SumLattice object to run forward-backward.
SumLattice	SumLatticeDefault.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeBeam.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeScaling.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Transducer.Incrementor incrementor)

Uses of SumLattice in cc.mallet.fst.semi_supervised

Method parameters in cc.mallet.fst.semi_supervised with type arguments of type SumLattice

void	GECriteria.calculateExpectations(InstanceList ilist, Transducer transducer, java.util.Map<java.lang.Integer,SumLattice> lattices) Calculates the model expectation of all feature constraints.
void	CRFOptimizableByGECriteria.computeGradient(java.util.Map<java.lang.Integer,SumLattice> lattices) Resets, computes and fills gradient from all instances.
void	CRFOptimizableByGECriteria.initialize(java.util.Map<java.lang.Integer,SumLattice> lattices) Initializes the gradient to zero and re-computes expectations for a new iteration.