PipelineClusteringModel

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

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

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. 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

   PipelineClusteringModel → CategoricalRowModel

6. 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

   PipelineClusteringModel → MLModel

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

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9. val finalModel: ClusteringRowModel

   

10. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

12. def getPFAConverter: PFAConverter

    

    Definition Classes

    PipelineClusteringModel → PFAConvertible

13. 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

    PipelineClusteringModel → RowModel

14. lazy val inputFeatures: Seq[ColumnDef]

    

    Definition Classes

    PipelineClusteringModel → RowModel

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    AnyRef

17. final def notify(): Unit

    

    Definition Classes

    AnyRef

18. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

19. def outputFeatures: Seq[ColumnDef]

    

    Definition Classes

    PipelineClusteringModel → ClusteringRowModel → RowModel

20. val preProcessors: Seq[RowModel]

    

21. lazy val sqlOutputFeatures: Seq[ColumnDef]

    

    Definition Classes

    PipelineClusteringModel → CategoricalRowModel → RowModel

22. def sqlTransformer(sqlGenerator: SQLGenerator): Option[PipelineClusteringSQLTransformer]

    

    Definition Classes

    PipelineClusteringModel → ClusteringRowModel → RowModel

23. def streamline(requiredOutputFeatureNames: Seq[String]): PipelineClusteringModel

    

    Returns a streamlined version of this model, throwing away parts which are not required to produce the features with names in requiredOutputFeatureNames.

    Returns a streamlined version of this model, throwing away parts which are not required to produce the features with names in requiredOutputFeatureNames.

    Behaviour is undefined if requiredOutputFeatureNames is not actually a subset of outputFeatures.map(_columnName).

    The resulting model may still have more output features than those required (i.e. for ClassificationRowModel implementations which always have the same output features, or for OneHotEncodingModel whose output features naturally group together).

    requiredOutputFeatureNames

    names of the output features that the new model should produce.

    returns

    A model which has the same functionality for those output features listed, but potentially fewer input features.

    Definition Classes

    PipelineClusteringModel → ClusteringRowModel → RowModel

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

    

    Definition Classes

    AnyRef

25. def transformationSchema: DetailedTransformationSchema

    

    Definition Classes

    RowModel

26. def transformer: PipelineClusteringTransformer

    

    Definition Classes

    PipelineClusteringModel → ClusteringRowModel → CategoricalRowModel → RowModel

27. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )