Class/Object

com.intel.analytics.bigdl.dataset.datamining

RowTransformer

Related Docs: object RowTransformer | package datamining

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class RowTransformer extends Transformer[Row, Table]

RowTransformer transform a Row to a Table whose values are all Tensor.

This transformer is a container of RowTransformSchemas. When this transformer being executed, it will run transform methods of its RowTransformSchemas.

Output of RowTransformer is a Table. The keys of Table are Tensor.scalar(schemaKey)s of included RowTransformSchemas. Correspondingly, the values of Table are results(Tensor) of RowTransformSchema.transform.

Linear Supertypes
Transformer[Row, Table], Serializable, Serializable, AnyRef, Any
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Inherited
  1. RowTransformer
  2. Transformer
  3. Serializable
  4. Serializable
  5. AnyRef
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Visibility
  1. Public
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Instance Constructors

  1. new RowTransformer(schemas: Seq[RowTransformSchema], rowSize: Option[Int] = None)

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    schemas

    schemas of transformer, whose keys should NOT be duplicated

    rowSize

    size of Row transformed by this transformer, default is None

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def ->[C](other: Transformer[Table, C]): Transformer[Row, C]

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    Definition Classes
    Transformer

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

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    Definition Classes
    AnyRef → Any

  5. def apply(prev: Iterator[Row]): Iterator[Table]

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    Definition Classes
    RowTransformer → Transformer

  6. def apply(dataset: RDD[Row])(implicit evidence: ClassTag[Table]): RDD[Table]

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    Apply this transformer to rdd

    Apply this transformer to rdd

    Definition Classes
    Transformer

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def cloneTransformer(): Transformer[Row, Table]

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    Definition Classes
    Transformer

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

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    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. val rowSize: Option[Int]

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    size of Row transformed by this transformer, default is None

    size of Row transformed by this transformer, default is None

    Attributes
    protected

  20. val schemaMap: Map[String, RowTransformSchema]

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    Attributes
    protected

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

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    Definition Classes
    AnyRef

  22. def toString(): String

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    Definition Classes
    AnyRef → Any

  23. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Transformer[Row, Table]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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