Uses of Class
cc.mallet.types.Multinomial

Packages that use Multinomial

cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of Multinomial in cc.mallet.classify

Constructors in cc.mallet.classify with parameters of type Multinomial

NaiveBayes(Pipe dataPipe, Multinomial prior, Multinomial[] classIndex2FeatureProb)
Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.

NaiveBayes(Pipe dataPipe, Multinomial prior, Multinomial[] classIndex2FeatureProb)
Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification, and feature estimates of each Classification.

Uses of Multinomial in cc.mallet.types

Subclasses of Multinomial in cc.mallet.types

static class

Multinomial.Logged A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi].

Methods in cc.mallet.types that return Multinomial

abstract Multinomial	Multinomial.Estimator.estimate()
Multinomial	Multinomial.MEstimator.estimate()
Multinomial	Multinomial.MAPEstimator.estimate()
Multinomial	Dirichlet.randomMultinomial(Randoms r)

Methods in cc.mallet.types with parameters of type Multinomial

void	Dirichlet.Estimator.addMultinomial(Multinomial m)

Constructors in cc.mallet.types with parameters of type Multinomial

Multinomial.Logged(Multinomial m)

Constructor parameters in cc.mallet.types with type arguments of type Multinomial

Dirichlet.Estimator(java.util.Collection<Multinomial> multinomialsTraining)