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## 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.

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