com.intel.analytics.bigdl.dataset.datamining

ColToTensor

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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  1. ColToTensor
  2. RowTransformSchema
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  4. Serializable
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Instance Constructors

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

    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: 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]

    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

  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]

    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

  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
    ColToTensor → 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
    ColToTensor → 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
    AnyRef
    Annotations
    @throws( ... )

Inherited from RowTransformSchema

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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