Uses of Class
edu.umass.cs.mallet.base.types.Multinomial.Estimator

Packages that use Multinomial.Estimator

Package	Description
edu.umass.cs.mallet.base.classify
edu.umass.cs.mallet.base.fst
edu.umass.cs.mallet.base.types

Uses of Multinomial.Estimator in edu.umass.cs.mallet.base.classify

Methods in edu.umass.cs.mallet.base.classify that return Multinomial.Estimator

Modifier and Type	Method and Description
Multinomial.Estimator	NaiveBayesTrainer.getFeatureMultinomialEstimator() Get the MultinomialEstimator instance used to specify the type of estimator for features.
Multinomial.Estimator	NaiveBayesTrainer.getPriorMultinomialEstimator() Get the MultinomialEstimator instance used to specify the type of estimator for priors.

Methods in edu.umass.cs.mallet.base.classify with parameters of type Multinomial.Estimator

Modifier and Type	Method and Description
void	NaiveBayesTrainer.setFeatureMultinomialEstimator(Multinomial.Estimator me) Set the Multinomial Estimator used for features.
void	NaiveBayesTrainer.setPriorMultinomialEstimator(Multinomial.Estimator me) Set the Multinomial Estimator used for priors.

Uses of Multinomial.Estimator in edu.umass.cs.mallet.base.fst

Methods in edu.umass.cs.mallet.base.fst that return Multinomial.Estimator

Modifier and Type	Method and Description
Multinomial.Estimator	FeatureTransducer.State.getTransitionEstimator()

Uses of Multinomial.Estimator in edu.umass.cs.mallet.base.types

Subclasses of Multinomial.Estimator in edu.umass.cs.mallet.base.types

Modifier and Type	Class and Description
static class	Multinomial.LaplaceEstimator An MEstimator with m set to 1.
static class	Multinomial.MAPEstimator Unimplemented, but the MEstimators are.
static class	Multinomial.MEstimator An Estimator in which probability estimates in a Multinomial are generated by adding a constant m (specified at construction time) to each count before dividing by the total of the m-biased counts.
static class	Multinomial.MLEstimator An MEstimator with m set to 0.