NaiveBayesModel

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def classLabels: Seq[String]

   The total set of classes that the predicted value can take on.

   The total set of classes that the predicted value can take on.

   returns

   The set of possible values for the predicted value.

   Definition Classes

   NaiveBayesModel → CategoricalRowModel

8. def classesForLoading: Set[Class[_]]

   This should return a representative class from every jar that is needed to load the object during deserialization.

   This should return a representative class from every jar that is needed to load the object during deserialization.

   Default implementation returns the class of MLModel, and the class of the model implementation.

   Definition Classes

   MLModel

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. def dependentFeature: ColumnDef

    Used when we are doing model quality evaluation e.

    Used when we are doing model quality evaluation e.g. Confusion Matrix, so we know what feature in the test dataset to compare the result to.

    returns

    Feature description used to identify the dependent feature in an evaluation dataset.

    Definition Classes

    NaiveBayesModel → ClassificationRowModel

11. val dependentFeatureName: String

12. val distributions: Seq[Distribution]

13. final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

14. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

15. final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

16. def identifier: String

    Used to identify this model when in a collection of models.

    Used to identify this model when in a collection of models. Should be simple characters, so it can be used in a feature name.

    returns

    identifier for the model.

    Definition Classes

    RowModel

17. val inputFeatures: Seq[ColumnDef]

    Definition Classes

    NaiveBayesModel → RowModel

18. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

19. final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

20. final def notify(): Unit

    Definition Classes

    AnyRef

21. final def notifyAll(): Unit

    Definition Classes

    AnyRef

22. def outputFeatures: Seq[ColumnDef]

    Definition Classes

    ClassificationRowModel → RowModel

23. def sqlOutputFeatures: Seq[ColumnDef]

    Definition Classes

    CategoricalRowModel → RowModel

24. def sqlTransformer(sqlGenerator: SQLGenerator): Some[NaiveBayesSQLTransformer]

    Definition Classes

    NaiveBayesModel → ClassificationRowModel → RowModel

25. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

26. val threshold: Double

27. def transformationSchema: DetailedTransformationSchema

    Definition Classes

    RowModel

28. def transformer: ClassificationTransformer

    Definition Classes

    NaiveBayesModel → ClassificationRowModel → CategoricalRowModel → RowModel

29. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

30. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

31. final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )