PipelineClassificationModel

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

   PipelineClassificationModel → 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

   PipelineClassificationModel → 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

    PipelineClassificationModel → ClassificationRowModel

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

    Definition Classes

    AnyRef

12. val finalModel: ClassificationRowModel

13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

15. 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

    PipelineClassificationModel → RowModel

16. lazy val inputFeatures: Seq[ColumnDef]

    Definition Classes

    PipelineClassificationModel → RowModel

17. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

19. final def notify(): Unit

    Definition Classes

    AnyRef

20. final def notifyAll(): Unit

    Definition Classes

    AnyRef

21. def outputFeatures: Seq[ColumnDef]

    Definition Classes

    PipelineClassificationModel → ClassificationRowModel → RowModel

22. val preProcessors: Seq[RowModel]

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

    Definition Classes

    AnyRef

24. def transformationSchema: DetailedTransformationSchema

    Definition Classes

    RowModel

25. def transformer: PipelineCategoricalTransformer[_ <: ClassificationResult]

    Definition Classes

    PipelineClassificationModel → ClassificationRowModel → CategoricalRowModel → RowModel

26. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )