Class/Object

com.intel.analytics.bigdl.dataset.datamining

ColToTensor

Related Docs: object ColToTensor | package datamining

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class ColToTensor extends RowTransformSchema

A schema which specialize on transforming single column to size(1) Tensor. Types of selected columns will be identified according to their DataType. And type conversions will be done automatically from DataType to TensorDataType.

Linear Supertypes
RowTransformSchema, Serializable, Serializable, AnyRef, Any
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Inherited
  1. ColToTensor
  2. RowTransformSchema
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ColToTensor(schemaKey: String, index: Int, fieldName: String = "")

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    schemaKey

    key of the schema

    index

    index of selected column, overridden by non empty fieldName

    fieldName

    field name of selected column, default is empty

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. val fieldNames: Seq[String]

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    This property will override indices when it is not empty.

    FieldNames of Selected Columns

    This property will override indices when it is not empty.

    Definition Classes
    ColToTensor → RowTransformSchema

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. val indices: Seq[Int]

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    It will work on only when fieldNames is empty, otherwise RowTransformer will select columns accord to fieldNames.

    Indices of Selected Columns

    It will work on only when fieldNames is empty, otherwise RowTransformer will select columns accord to fieldNames. If both indices and fieldNames are empty, RowTransformer will select all columns by default.

    Definition Classes
    ColToTensor → RowTransformSchema

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. val schemaKey: String

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    key of the schema

    key of the schema

    Definition Classes
    ColToTensor → RowTransformSchema

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

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    Definition Classes
    AnyRef

  19. def toString(): String

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    Definition Classes
    AnyRef → Any

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

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    Transforming Logic of the Schema

    Transforming Logic of the Schema

    fields

    StructFields of selected columns

    returns

    a result Tensor

    Definition Classes
    ColToTensor → RowTransformSchema

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RowTransformSchema

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped