## Uses of Class
org.apache.ignite.ml.naivebayes.compound.CompoundNaiveBayesModel

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

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

    Methods in org.apache.ignite.ml.naivebayes.compound that return CompoundNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `<K,V> CompoundNaiveBayesModel` | CompoundNaiveBayesTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Trains model based on the specified data.
    `static CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`fromJSON(Path path)` Loads CompoundNaiveBayesModel from JSON file.
    `protected <K,V> CompoundNaiveBayesModel` | CompoundNaiveBayesTrainer.`updateModel(CompoundNaiveBayesModel 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.
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withDiscreteFeatureIdsToSkip(Collection<Integer> discreteFeatureIdsToSkip)` Sets feature ids to skip in discrete Bayes.
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withDiscreteModel(DiscreteNaiveBayesModel discreteModel)` Sets a discrete model.
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withGaussianFeatureIdsToSkip(Collection<Integer> gaussianFeatureIdsToSkip)` Sets feature ids to skip in Gaussian Bayes.
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withGaussianModel(GaussianNaiveBayesModel gaussianModel)` Sets a gaussian model.
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withLabels(double[] labels)` Sets labels.
    `CompoundNaiveBayesModel` | CompoundNaiveBayesModel.`withPriorProbabilities(double[] priorProbabilities)` Sets prior probabilities.

    Methods in org.apache.ignite.ml.naivebayes.compound with parameters of type CompoundNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | CompoundNaiveBayesTrainer.`isUpdateable(CompoundNaiveBayesModel mdl)`
    `protected <K,V> CompoundNaiveBayesModel` | CompoundNaiveBayesTrainer.`updateModel(CompoundNaiveBayesModel 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.compound with type arguments of type CompoundNaiveBayesModel
    Modifier and Type | Method and Description
    --- | ---
    `<P> void` | CompoundNaiveBayesModel.`saveModel(Exporter<CompoundNaiveBayesModel,P> exporter, P path)` Save model by the given path.

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Release Date | : April 25 2023