PipelineClusteringTransformer

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. def allowNullValues: Boolean

   

   Allows the transformer to specify if the apply method can handle null values in the input row.

   Allows the transformer to specify if the apply method can handle null values in the input row.

   e.g. a Null value replacement transformer, or a Naive Bayes transformer would naturally handle null values, but a Linear Regression transformer would not.

   Default value is false.

   returns

   Boolean indicating tolerance for null values in input.

   Definition Classes

   Transformer

5. def apply(row: Row): Row

   

   This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.

   This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.

   This method is not required to be thread-safe.

   row

   The row of input to be scored.

   returns

   The result from applying the trained model to the row.

   Definition Classes

   PipelineCategoricalTransformer → CategoricalTransformer → PipelineTransformer → Transformer

6. def apply(row: Row, tList: List[Transformer], reordering: List[Option[Array[Int]]]): Row

   

   Attributes

   protected

   Definition Classes

   PipelineTransformer

7. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

8. def classLabels: Seq[String]

   

   The result must always return the labels in the order specified here.

   The result must always return the labels in the order specified here.

   returns

   The class labels in the order that they will be returned by the result.

   Definition Classes

   PipelineCategoricalTransformer → CategoricalTransformer

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

    

    Definition Classes

    AnyRef

11. val finalTransformer: ClusteringTransformer

    

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. def inputRowForLastModel(row: Row): Row

    

    Attributes

    protected

    Definition Classes

    PipelineMLTransformer

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

16. val lastReordering: Option[Array[Int]]

    

    Attributes

    protected

    Definition Classes

    PipelineTransformer

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. val preProcessors: List[_ <: Transformer]

    

21. val reorderingIndices: List[Option[Array[Int]]]

    

    Attributes

    protected

    Definition Classes

    PipelineTransformer

22. def score(row: Row): ClusteringResult

    

    Definition Classes

    PipelineClusteringTransformer → ClusteringTransformer → PipelineMLTransformer → MLTransformer

23. def scoreDistances(row: Row): Array[Double]

    

    Definition Classes

    PipelineClusteringTransformer → ClusteringTransformer

24. val subModels: Seq[RowModel]

    

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

    

    Definition Classes

    AnyRef

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( ... )