Uses of Class
cc.mallet.types.Multinomial.Estimator

Packages that use Multinomial.Estimator

cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of Multinomial.Estimator in cc.mallet.classify

Methods in cc.mallet.classify that return Multinomial.Estimator

Multinomial.Estimator	NaiveBayesTrainer.getFeatureMultinomialEstimator() Get the MultinomialEstimator instance used to specify the type of estimator for features.
Multinomial.Estimator	NaiveBayesEMTrainer.getFeatureMultinomialEstimator()
Multinomial.Estimator	NaiveBayesTrainer.getPriorMultinomialEstimator() Get the MultinomialEstimator instance used to specify the type of estimator for priors.
Multinomial.Estimator	NaiveBayesEMTrainer.getPriorMultinomialEstimator()

Methods in cc.mallet.classify with parameters of type Multinomial.Estimator

NaiveBayesTrainer	NaiveBayesTrainer.setFeatureMultinomialEstimator(Multinomial.Estimator me) Set the Multinomial Estimator used for features.
NaiveBayesTrainer.Factory	NaiveBayesTrainer.Factory.setFeatureMultinomialEstimator(Multinomial.Estimator featureEstimator)
void	NaiveBayesEMTrainer.setFeatureMultinomialEstimator(Multinomial.Estimator me)
NaiveBayesTrainer	NaiveBayesTrainer.setPriorMultinomialEstimator(Multinomial.Estimator me) Set the Multinomial Estimator used for priors.
NaiveBayesTrainer.Factory	NaiveBayesTrainer.Factory.setPriorMultinomialEstimator(Multinomial.Estimator priorEstimator)
void	NaiveBayesEMTrainer.setPriorMultinomialEstimator(Multinomial.Estimator me)

Uses of Multinomial.Estimator in cc.mallet.fst

Methods in cc.mallet.fst that return Multinomial.Estimator

Multinomial.Estimator

FeatureTransducer.State.getTransitionEstimator()

Uses of Multinomial.Estimator in cc.mallet.types

Subclasses of Multinomial.Estimator in cc.mallet.types

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.