PipelineRegressionModel

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 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

   PipelineRegressionModel → MLModel

8. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. 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

   PipelineRegressionModel → RegressionRowModel

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

    Definition Classes

    AnyRef

11. val finalModel: RegressionRowModel

12. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

14. val 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

    PipelineRegressionModel → RowModel

15. lazy val inputFeatures: Seq[ColumnDef]

    Definition Classes

    PipelineRegressionModel → RowModel

16. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

18. final def notify(): Unit

    Definition Classes

    AnyRef

19. final def notifyAll(): Unit

    Definition Classes

    AnyRef

20. def outputFeatures: Seq[ColumnDef]

    Definition Classes

    PipelineRegressionModel → RegressionRowModel → RowModel

21. val preProcessors: Seq[RowModel]

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

    Definition Classes

    AnyRef

23. def transformationSchema: DetailedTransformationSchema

    Definition Classes

    RowModel

24. def transformer: PipelineRegressionTransformer[Nothing]

    Definition Classes

    PipelineRegressionModel → RegressionRowModel → RowModel

25. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )