## Uses of Class
org.apache.ignite.ml.naivebayes.discrete.DiscreteNaiveBayesModel

- Packages that use DiscreteNaiveBayesModel
  Package | Description
  --- | ---
  org.apache.ignite.ml.naivebayes.compound | Contains Compound naive Bayes classifier.
  org.apache.ignite.ml.naivebayes.discrete | Contains Bernoulli naive Bayes classifier.

- - ### Uses of DiscreteNaiveBayesModel in org.apache.ignite.ml.naivebayes.compound

    Methods in org.apache.ignite.ml.naivebayes.compound that return DiscreteNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `DiscreteNaiveBayesModel` | CompoundNaiveBayesModel.`getDiscreteModel()` Returns a discrete model.

    Methods in org.apache.ignite.ml.naivebayes.compound with parameters of type DiscreteNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withDiscreteModel(DiscreteNaiveBayesModel discreteModel)` Sets a discrete model.

  - ### Uses of DiscreteNaiveBayesModel in org.apache.ignite.ml.naivebayes.discrete

    Methods in org.apache.ignite.ml.naivebayes.discrete that return DiscreteNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `<K,V> DiscreteNaiveBayesModel` | DiscreteNaiveBayesTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Trains model based on the specified data.
    `static DiscreteNaiveBayesModel` | DiscreteNaiveBayesModel.`fromJSON(Path path)` Loads DiscreteNaiveBayesModel from JSON file.
    `protected <K,V> DiscreteNaiveBayesModel` | DiscreteNaiveBayesTrainer.`updateModel(DiscreteNaiveBayesModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.

    Methods in org.apache.ignite.ml.naivebayes.discrete with parameters of type DiscreteNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | DiscreteNaiveBayesTrainer.`isUpdateable(DiscreteNaiveBayesModel mdl)`
    `protected <K,V> DiscreteNaiveBayesModel` | DiscreteNaiveBayesTrainer.`updateModel(DiscreteNaiveBayesModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.

    Method parameters in org.apache.ignite.ml.naivebayes.discrete with type arguments of type DiscreteNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `<P> void` | DiscreteNaiveBayesModel.`saveModel(Exporter<DiscreteNaiveBayesModel,P> exporter, P path)` Save model by the given path.

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Release Date | : April 25 2023