cc.mallet.fst
Class SumLatticeScaling.Factory

java.lang.Object
  cc.mallet.fst.SumLatticeFactory
      cc.mallet.fst.SumLatticeScaling.Factory

All Implemented Interfaces:

java.io.Serializable

Enclosing class:

SumLatticeScaling

public static class SumLatticeScaling.Factory
extends SumLatticeFactory
implements java.io.Serializable

See Also:

Serialized Form

Constructor Summary

SumLatticeScaling.Factory()

Method Summary

SumLattice

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

Methods inherited from class cc.mallet.fst.SumLatticeFactory

newSumLattice, newSumLattice, newSumLattice, newSumLattice, newSumLattice, newSumLattice

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SumLatticeScaling.Factory

public SumLatticeScaling.Factory()

Method Detail

newSumLattice

public SumLattice newSumLattice(Transducer trans,
                                Sequence input,
                                Sequence output,
                                Transducer.Incrementor incrementor,
                                boolean saveXis,
                                LabelAlphabet outputAlphabet)

Description copied from class: SumLatticeFactory

Returns a SumLattice object to run forward-backward.

Specified by:

newSumLattice in class SumLatticeFactory

Parameters:

trans - Transducer model

input - Input sequence

output - If output is null then the forward-backward is not constrained to match the output

incrementor - If null then do not update the weights

saveXis - If true then save the transition weights as well

outputAlphabet - If outputAlphabet is non-null, this will create a LabelVector for each position in the output sequence indicating the probability distribution over possible outputs at that time index.