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.