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

Packages that use TransducerTrainer
cc.mallet.fst | Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised |

Uses of TransducerTrainer in cc.mallet.fst

Subclasses of TransducerTrainer in cc.mallet.fst
`class` | `CRFTrainerByL1LabelLikelihood` CRF trainer that implements L1-regularization.
`class` | `CRFTrainerByLabelLikelihood` Unlike ClassifierTrainer, TransducerTrainer is not "stateless" between calls to train.
`class` | `CRFTrainerByStochasticGradient` Trains CRF by stochastic gradient.
`class` | `CRFTrainerByThreadedLabelLikelihood`
`class` | `CRFTrainerByValueGradients` A CRF trainer that can combine multiple objective functions, each represented by a Optmizable.ByValueGradient.
`class` | `HMMTrainerByLikelihood`
`class` | `MEMMTrainer` Trains and evaluates a `MEMM`.
`class` | `NoopTransducerTrainer` A TransducerTrainer that does no training, but simply acts as a container for a Transducer; for use in situations that require a TransducerTrainer, such as the TransducerEvaluator methods.
`class` | `ShallowTransducerTrainer` Deprecated. Use `NoopTransducerTrainer` instead
`static class` | `TransducerTrainer.ByIncrements`
`static class` | `TransducerTrainer.ByInstanceIncrements`

Methods in cc.mallet.fst that return TransducerTrainer
`TransducerTrainer` | `TransducerTrainer.addEvaluator(TransducerEvaluator te)`
`TransducerTrainer` | `TransducerTrainer.addEvaluators(java.util.Collection<TransducerEvaluator> tes)`
`TransducerTrainer` | `TransducerTrainer.removeEvaluator(TransducerEvaluator te)`

Methods in cc.mallet.fst with parameters of type TransducerTrainer
`void` | `TransducerEvaluator.evaluate(TransducerTrainer tt)` Evaluates a TransducerTrainer and its Transducer on the instance lists specified in the constructor.
`void` | `SegmentationEvaluator.evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void` | `LabelDistributionEvaluator.evaluateInstanceList(TransducerTrainer transducer, InstanceList instances, java.lang.String description)`
`void` | `InstanceAccuracyEvaluator.evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void` | `PerClassAccuracyEvaluator.evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void` | `ViterbiWriter.evaluateInstanceList(TransducerTrainer transducerTrainer, InstanceList instances, java.lang.String description)`
`abstract void` | `TransducerEvaluator.evaluateInstanceList(TransducerTrainer transducer, InstanceList instances, java.lang.String description)`
`void` | `TokenAccuracyEvaluator.evaluateInstanceList(TransducerTrainer trainer, InstanceList instances, java.lang.String description)`
`void` | `CRFWriter.evaluateInstanceList(TransducerTrainer transducer, InstanceList instances, java.lang.String description)`
`void` | `MultiSegmentationEvaluator.evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`protected void` | `ViterbiWriter.preamble(TransducerTrainer tt)`
`protected void` | `TransducerEvaluator.preamble(TransducerTrainer tt)`
`protected void` | `CRFWriter.preamble(TransducerTrainer tt)`
`boolean` | `TransducerEvaluator.precondition(TransducerTrainer tt)` If this returns false, then the body of the evaluate(TransducerTrainer) method will not run.
`static void` | `SimpleTagger.test(TransducerTrainer tt, TransducerEvaluator eval, InstanceList testing)` Test a transducer on the given test data, evaluating accuracy with the given evaluator

Uses of TransducerTrainer in cc.mallet.fst.semi_supervised

Subclasses of TransducerTrainer in cc.mallet.fst.semi_supervised
`class` | `CRFTrainerByEntropyRegularization` A CRF trainer that maximizes the log-likelihood plus a weighted entropy regularization term on unlabeled data.
`class` | `CRFTrainerByGE` Trains a CRF using Generalized Expectation constraints that considers a single label of a linear chain CRF.

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