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## Uses of Class
cc.mallet.fst.Transducer

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

Uses of Transducer in cc.mallet.fst

Subclasses of Transducer in cc.mallet.fst
`class` | `CRF` Represents a CRF model.
`class` | `FeatureTransducer`
`class` | `HMM` A Hidden Markov Model.
`class` | `MEMM` A Maximum Entropy Markov Model.

Fields in cc.mallet.fst declared as Transducer
`protected Transducer` | `ShallowTransducerTrainer.transducer` Deprecated.

Methods in cc.mallet.fst that return Transducer
`Transducer` | `FeatureTransducer.State.getTransducer()`
`Transducer` | `CRF.State.getTransducer()`
`Transducer` | `SumLattice.getTransducer()`
`Transducer` | `CRFTrainerByLabelLikelihood.getTransducer()`
`Transducer` | `CRFTrainerByStochasticGradient.getTransducer()`
`Transducer` | `NoopTransducerTrainer.getTransducer()`
`Transducer` | `MaxLattice.getTransducer()`
`Transducer` | `SumLatticeDefault.getTransducer()`
`Transducer` | `ShallowTransducerTrainer.getTransducer()` Deprecated.
`Transducer` | `MaxLatticeDefault.getTransducer()`
`Transducer` | `HMMTrainerByLikelihood.getTransducer()`
`Transducer` | `CRFTrainerByValueGradients.getTransducer()`
`Transducer` | `SumLatticeBeam.getTransducer()`
`Transducer` | `MEMMTrainer.getTransducer()`
`abstract Transducer` | `TransducerTrainer.getTransducer()`
`Transducer` | `SumLatticeScaling.getTransducer()`
`Transducer` | `HMM.State.getTransducer()`
`Transducer` | `CRFTrainerByThreadedLabelLikelihood.getTransducer()`
`abstract Transducer` | `Transducer.State.getTransducer()`
`Transducer` | `Transducer.TransitionIterator.getTransducer()`

Methods in cc.mallet.fst with parameters of type Transducer
`static Sequence[]` | `SimpleTagger.apply(Transducer model, Sequence input, int k)` Apply a transducer to an input sequence to produce the k highest-scoring output sequences.
`MaxLattice` | `MaxLatticeFactory.newMaxLattice(Transducer trans, Sequence inputSequence)`
`MaxLattice` | `MaxLatticeDefault.Factory.newMaxLattice(Transducer trans, Sequence inputSequence, Sequence outputSequence)`
`abstract MaxLattice` | `MaxLatticeFactory.newMaxLattice(Transducer trans, Sequence inputSequence, Sequence outputSequence)`
`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)`

Constructors in cc.mallet.fst with parameters of type Transducer
`MaxLatticeDefault(Transducer t, Sequence inputSequence)`
`MaxLatticeDefault(Transducer t, Sequence inputSequence, Sequence outputSequence)`
`MaxLatticeDefault(Transducer t, Sequence inputSequence, Sequence outputSequence, int maxCaches)` Initiate Viterbi decoding of the inputSequence, contrained to match non-null parts of the outputSequence.
`NoopTransducerTrainer(Transducer transducer)`
`ShallowTransducerTrainer(Transducer transducer)` Deprecated.
`SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor)`
`SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)`
`SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)`
`SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, int[] constraints)` Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.
`SumLatticeConstrained(Transducer t, Sequence input, Sequence output, Segment requiredSegment, Sequence constrainedSequence)`
`SumLatticeConstrained(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, int[] constraints)` Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.
`SumLatticeDefault(Transducer trans, Sequence input)`
`SumLatticeDefault(Transducer trans, Sequence input, boolean saveXis)`
`SumLatticeDefault(Transducer trans, Sequence input, Sequence output)`
`SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor)`
`SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)`
`SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)`
`SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)`
`SumLatticeDefault(Transducer trans, Sequence input, Transducer.Incrementor incrementor)`
`SumLatticeScaling(Transducer trans, Sequence input)`
`SumLatticeScaling(Transducer trans, Sequence input, boolean saveXis)`
`SumLatticeScaling(Transducer trans, Sequence input, Sequence output)`
`SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor)`
`SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)`
`SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)`
`SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)`
`SumLatticeScaling(Transducer trans, Sequence input, Transducer.Incrementor incrementor)`

Uses of Transducer in cc.mallet.fst.confidence

Fields in cc.mallet.fst.confidence declared as Transducer
`protected Transducer` | `TransducerConfidenceEstimator.model`
`protected Transducer` | `TransducerSequenceConfidenceEstimator.model`

Methods in cc.mallet.fst.confidence that return Transducer
`Transducer` | `TransducerConfidenceEstimator.getTransducer()`

Methods in cc.mallet.fst.confidence with parameters of type Transducer
`void` | `ConfidenceCorrectorEvaluator.evaluate(Transducer model, java.util.ArrayList predictions, InstanceList ilist, java.util.ArrayList correctedSegments, java.lang.String description, java.io.PrintStream outputStream, boolean errorsInUncorrected)` Only evaluates over sequences which contain errors.

Constructors in cc.mallet.fst.confidence with parameters of type Transducer
`ConstrainedForwardBackwardConfidenceEstimator(Transducer model)`
`ConstrainedViterbiTransducerCorrector(Transducer model)`
`ConstrainedViterbiTransducerCorrector(TransducerConfidenceEstimator confidenceEstimator, Transducer model)`
`GammaAverageConfidenceEstimator(Transducer model)`
`GammaProductConfidenceEstimator(Transducer model)`
`IsolatedSegmentTransducerCorrector(Transducer model)`
`IsolatedSegmentTransducerCorrector(TransducerConfidenceEstimator confidenceEstimator, Transducer model)`
`MaxEntConfidenceEstimator(Transducer model)`
`MaxEntConfidenceEstimator(Transducer model, double gaussianVariance)`
`MaxEntSequenceConfidenceEstimator(Transducer model)`
`MaxEntSequenceConfidenceEstimator(Transducer model, double gaussianVariance)`
`MinSegmentConfidenceEstimator(Transducer model, TransducerConfidenceEstimator segmentConfidenceEstimator)`
`NBestViterbiConfidenceEstimator(Transducer model, int N)`
`QBCSequenceConfidenceEstimator(Transducer model, Transducer[] committee)`
`QBCSequenceConfidenceEstimator(Transducer model, Transducer[] committee)`
`RandomConfidenceEstimator(int seed, Transducer model)`
`RandomConfidenceEstimator(Transducer model)`
`RandomSequenceConfidenceEstimator(int seed, Transducer model)`
`RandomSequenceConfidenceEstimator(Transducer model)`
`SegmentProductConfidenceEstimator(Transducer model, TransducerConfidenceEstimator segmentConfidenceEstimator)`
`TransducerConfidenceEstimator(Transducer model)`
`TransducerSequenceConfidenceEstimator(Transducer model)`
`ViterbiConfidenceEstimator(Transducer model)`
`ViterbiRatioConfidenceEstimator(Transducer model)`

Uses of Transducer in cc.mallet.fst.semi_supervised

Fields in cc.mallet.fst.semi_supervised declared as Transducer
`protected Transducer` | `EntropyLattice.transducer`
`protected Transducer` | `GELattice.transducer`

Methods in cc.mallet.fst.semi_supervised that return Transducer
`Transducer` | `CRFTrainerByEntropyRegularization.getTransducer()`
`Transducer` | `CRFTrainerByGE.getTransducer()`

Methods in cc.mallet.fst.semi_supervised with parameters of type Transducer
`void` | `GECriteria.calculateExpectations(InstanceList ilist, Transducer transducer, java.util.Map<java.lang.Integer,SumLattice> lattices)` Calculates the model expectation of all feature constraints.

Constructors in cc.mallet.fst.semi_supervised with parameters of type Transducer
`EntropyLattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, Transducer.Incrementor incrementor, double scalingFactor)` Runs constrained forward-backward.
`GELattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, Transducer.Incrementor incrementor, GECriteria geCriteria, boolean check)`

Uses of Transducer in cc.mallet.pipe.iterator

Constructors in cc.mallet.pipe.iterator with parameters of type Transducer
`SegmentIterator(Transducer model, InstanceList ilist, java.lang.Object[] segmentStartTags, java.lang.Object[] segmentContinueTags)` NOTE!: Assumes that `segmentStartTags[i]` corresponds to `segmentContinueTags[i]`.
`SegmentIterator(Transducer model, Instance instance, java.lang.Object[] segmentStartTags, java.lang.Object[] segmentContinueTags)` Iterates over `Segment`s for only one `Instance`.

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