RowTransformer

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. def apply(schemas: Seq[RowTransformSchema], rowSize: Int = 0): RowTransformer

7. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8. def atomic(indices: Seq[Int], rowSize: Int): RowTransformer

   A RowTransformer which transform each selected columns to a size(1) Tensor.

   A RowTransformer which transform each selected columns to a size(1) Tensor. The keys of output Table are indices of selected columns.

   indices

   indices of selected columns

   rowSize

   size of Row transformed by this transformer

9. def atomic(fieldNames: Seq[String]): RowTransformer

   A RowTransformer which transform each selected columns to a size(1) Tensor.

   A RowTransformer which transform each selected columns to a size(1) Tensor. The keys of output Table are fieldNames of selected columns.

   fieldNames

   field names of selected columns

10. def atomicWithNumeric[T](atomicFields: Seq[String], numericFields: Map[String, Seq[String]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RowTransformer

    A RowTransformer which contains both atomic schemas and numeric schemas.

    A RowTransformer which contains both atomic schemas and numeric schemas.

    atomicFields

    field names of selected columns

    numericFields

    Map<schemaKey, fieldNames of selected columns> of numeric fields

11. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

14. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

16. def hashCode(): Int

    Definition Classes

    AnyRef → Any

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 numeric[T](numericFields: Map[String, Seq[String]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RowTransformer

    A RowTransformer which concat values of selected columns to one Tensor.

    A RowTransformer which concat values of selected columns to one Tensor. It means you will get a Table with keys of numericFields. Values of Table are Tensors concatenated by selected columns of the keys.

    numericFields

    Map<schemaKey, fieldNames of selected columns> of numeric fields

22. def numeric[T](schemaKey: String = "all")(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RowTransformer

    A RowTransformer which concat values of all columns to one Tensor.

    A RowTransformer which concat values of all columns to one Tensor. It means you will get a Table with single key-value pair after transformation. The unique key is schemaKey. The unique value is a size(length of Row) Tensor.

    schemaKey

    key of the schema, default value is "all"

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

    Definition Classes

    AnyRef

24. def toString(): String

    Definition Classes

    AnyRef → Any

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( ... )