GroupByRegressionTransformer

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

   RegressionTransformer → Transformer

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

   AnyRef

9. def finalize(): Unit

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

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

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

    

    Definition Classes

    AnyRef → Any

11. lazy val getGroupByValue: (Any) ⇒ Any

    

    Definition Classes

    GroupByTransformer

12. def indicesToUse(subModel: RegressionRowModel): Array[Int]

    

    Definition Classes

    GroupByTransformer

13. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

14. val model: GroupByRegressionModel

    

    Definition Classes

    GroupByRegressionTransformer → GroupByTransformer

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

    

    Definition Classes

    AnyRef

16. final def notify(): Unit

    

    Definition Classes

    AnyRef

17. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

18. def predict(row: Row): Double

    

    Definition Classes

    GroupByRegressionTransformer → RegressionTransformer

19. def score(row: Row): RealResult

    

    Definition Classes

    RegressionTransformer → MLTransformer

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

    

    Definition Classes

    AnyRef

21. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )