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## 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)`

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