org.apache.ignite.ml.environment.deploy

## Interface DeployableObject

- All Known Implementing Classes:
    ANNClassificationModel, BaggedModel, BinarizationPreprocessor, BinaryObjectVectorizer, CompoundNaiveBayesModel, DiscreteNaiveBayesModel, DoubleArrayVectorizer, DummyVectorizer, GaussianNaiveBayesModel, GDBModel, GmmModel, ImputerPreprocessor, KMeansModel, LabeledDummyVectorizer, LabelEncoderPreprocessor, MappedPreprocessor, MaxAbsScalerPreprocessor, MinMaxScalerPreprocessor, ModelsComposition, NNClassificationModel, NormalizationPreprocessor, ObjectArrayVectorizer, OneHotEncoderPreprocessor, PatchedPreprocessor, PipelineMdl, RandomForestModel, StandardScalerPreprocessor, StringEncoderPreprocessor, VectorFinalizationPreprocessor

      public interface DeployableObject

  Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side. NOTE: this interface should be inherited only by Ignite ML classes.

- - ### Method Summary

    All Methods Instance Methods Abstract Methods
    Modifier and Type | Method and Description
    --- | ---
    `List<Object>` | `getDependencies()` Returns dependencies of this object that can be object with class defined by client side and unknown for server.

- - ### Method Detail

    - #### getDependencies

          List<Object> getDependencies()

      Returns dependencies of this object that can be object with class defined by client side and unknown for server.

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Ignite Database and Caching Platform | : ver. 2.15.0
Release Date | : April 25 2023