class SampleToBatch[T] extends Transformer[Sample[T], MiniBatch[T]]

Convert a sequence of single-feature and single-label Sample to a sequence of MiniBatch, optionally padding all the features (or labels) in the mini-batch to the same length

Annotations
@deprecated
Deprecated

(Since version 0.2.0) Use SampleToMiniBatch instead

Linear Supertypes
Transformer[Sample[T], MiniBatch[T]], Serializable, Serializable, AnyRef, Any
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Visibility
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Instance Constructors

  1. new SampleToBatch(totalBatch: Int, featurePadding: Option[Tensor[T]] = None, labelPadding: Option[T] = None, fixedLength: Option[Int] = None, partitionNum: Option[Int] = None)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

    totalBatch

    total batch size

    featurePadding

    feature padding value (by default None, meaning no feature padding)

    labelPadding

    label padding value (by default None, meaning no label padding)

    fixedLength

    if padding, it specifies the length of feature/label after padding (by default None, meaning the length after padding is set to the max length of feature/label in a mini-batch)

    partitionNum

    partition number of dataset, default means partitionNum equals Engine.nodeNumber()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def ->[C](other: Transformer[MiniBatch[T], C]): Transformer[Sample[T], C]
    Definition Classes
    Transformer
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def apply(prev: Iterator[Sample[T]]): Iterator[MiniBatch[T]]
    Definition Classes
    SampleToBatch → Transformer
  6. def apply(dataset: RDD[Sample[T]])(implicit evidence: ClassTag[MiniBatch[T]]): RDD[MiniBatch[T]]

    Apply this transformer to rdd

    Apply this transformer to rdd

    Definition Classes
    Transformer
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  9. def cloneTransformer(): Transformer[Sample[T], MiniBatch[T]]
    Definition Classes
    Transformer
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
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    AnyRef → Any
    Annotations
    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  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
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
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    @native()
  19. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. def toString(): String
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    AnyRef → Any
  21. final def wait(): Unit
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    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  23. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
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    @native() @throws( ... )

Inherited from Transformer[Sample[T], MiniBatch[T]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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