Class

org.apache.mxnet.DataBatch

Builder

Related Doc: package DataBatch

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class Builder extends AnyRef

Builder class for DataBatch.

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Instance Constructors

  1. new Builder()

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def build(): DataBatch

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def provideDataDesc(dataDesc: IndexedSeq[DataDesc]): Builder

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    Provide the shape of a data.

    Provide the shape of a data.

    dataDesc

    DataDescriptor

    returns

    this.

  17. def provideLabelDesc(labelDesc: IndexedSeq[DataDesc]): Builder

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    Provide the shape of a label.

    Provide the shape of a label.

    labelDesc

    LabelDescriptor

    returns

    this.

  18. def setBucketKey(bucketKey: AnyRef): Builder

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    Set the bucket key, used for bucketing module.

    Set the bucket key, used for bucketing module.

    bucketKey

    the bucket key related to this batch.

    returns

    this.

  19. def setData(data: NDArray*): Builder

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    Set the input data.

    Set the input data.

    data

    a list of data.

    returns

    this.

    Annotations
    @varargs()
  20. def setIndex(index: Long*): Builder

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    Set the example indices in this batch.

    Set the example indices in this batch.

    index

    indices in the same order of data.

    returns

    this.

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    @varargs()
  21. def setLabel(label: NDArray*): Builder

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    Set the labels in the same order of data.

    Set the labels in the same order of data.

    label

    a list of labels.

    returns

    this.

    Annotations
    @varargs()
  22. def setPad(pad: Int): Builder

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    Set the pad.

    Set the pad.

    pad

    The number of examples padded at the end of a batch. It is used when the total number of examples read is not divisible by the batch_size. These extra padded examples are ignored in prediction.

    returns

    this

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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