com.intel.analytics.bigdl.dataset.datamining

ColsToNumeric

class ColsToNumeric[T] extends RowTransformSchema

A schema which specialize on transforming multiple numeric columns to one Tensor. Types of selected columns will be identified according to their [DataType. And type conversions will be done automatically from DataType to T if valid. Currently, DoubleType, FloatType, ShortType, IntegerType, LongType are supported.

T

the type of result Tensor

Linear Supertypes
RowTransformSchema, Serializable, Serializable, AnyRef, Any
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Inherited
  1. ColsToNumeric
  2. RowTransformSchema
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Instance Constructors

  1. new ColsToNumeric(schemaKey: String, indices: Seq[Int] = collection.this.Seq.empty[Nothing], fieldNames: Seq[String] = collection.this.Seq.empty[Nothing])(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

    schemaKey

    key of the schema

    indices

    indices of selected columns

    fieldNames

    field names of selected columns

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. 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 equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. val fieldNames: Seq[String]

    field names of selected columns

    field names of selected columns

    Definition Classes
    ColsToNumeric → RowTransformSchema

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. val indices: Seq[Int]

    indices of selected columns

    indices of selected columns

    Definition Classes
    ColsToNumeric → RowTransformSchema

  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. val schemaKey: String

    key of the schema

    key of the schema

    Definition Classes
    ColsToNumeric → RowTransformSchema

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

    Definition Classes
    AnyRef

  21. def toString(): String

    Definition Classes
    AnyRef → Any

  22. def transform(input: Seq[Any], fields: Seq[StructField]): Tensor[NumericWildcard]

    Transforming Logic of the Schema

    Transforming Logic of the Schema

    fields

    StructFields of selected columns

    returns

    a result Tensor

    Definition Classes
    ColsToNumeric → RowTransformSchema

  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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    @throws( ... )

Inherited from RowTransformSchema

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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