Uses of Class cc.mallet.fst.TransducerTrainer (Mallet 2 API)

Packages that use TransducerTrainer
Package	Description
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised
cc.mallet.fst.semi_supervised.pr
cc.mallet.fst.semi_supervised.tui

Uses of TransducerTrainer in cc.mallet.fst

Subclasses of TransducerTrainer in cc.mallet.fst
Modifier and Type	Class	Description
`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
Modifier and Type	Method	Description
`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
Modifier and Type	Method	Description
`void`	TransducerEvaluator.`evaluate(TransducerTrainer tt)`	Evaluates a TransducerTrainer and its Transducer on the instance lists specified in the constructor.
`void`	CRFWriter.`evaluateInstanceList(TransducerTrainer transducer, InstanceList instances, java.lang.String description)`
`void`	InstanceAccuracyEvaluator.`evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void`	LabelDistributionEvaluator.`evaluateInstanceList(TransducerTrainer transducer, InstanceList instances, java.lang.String description)`
`void`	MultiSegmentationEvaluator.`evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void`	PerClassAccuracyEvaluator.`evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void`	SegmentationEvaluator.`evaluateInstanceList(TransducerTrainer tt, InstanceList data, java.lang.String description)`
`void`	TokenAccuracyEvaluator.`evaluateInstanceList(TransducerTrainer trainer, InstanceList instances, java.lang.String description)`
`abstract void`	TransducerEvaluator.`evaluateInstanceList(TransducerTrainer transducer, InstanceList instances, java.lang.String description)`
`void`	ViterbiWriter.`evaluateInstanceList(TransducerTrainer transducerTrainer, InstanceList instances, java.lang.String description)`
`protected void`	CRFWriter.`preamble(TransducerTrainer tt)`
`protected void`	TransducerEvaluator.`preamble(TransducerTrainer tt)`
`protected void`	ViterbiWriter.`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
Modifier and Type	Class	Description
`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 consider either a single label or a pair of labels of a linear chain CRF.
`class`	`CRFTrainerByLikelihoodAndGE`

Uses of TransducerTrainer in cc.mallet.fst.semi_supervised.pr

Subclasses of TransducerTrainer in cc.mallet.fst.semi_supervised.pr
Modifier and Type Class Description

class CRFTrainerByPR
Posterior regularization trainer.

Uses of TransducerTrainer in cc.mallet.fst.semi_supervised.tui

Methods in cc.mallet.fst.semi_supervised.tui with parameters of type TransducerTrainer
Modifier and Type	Method	Description
`static void`	SimpleTaggerWithConstraints.`test(TransducerTrainer tt, TransducerEvaluator eval, InstanceList testing)`	Test a transducer on the given test data, evaluating accuracy with the given evaluator