Class

org.platanios.tensorflow.api.ops.io.data.ShuffleDataset

ShuffleDatasetOps

Related Doc: package ShuffleDataset

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case class ShuffleDatasetOps[T, O, D, S](dataset: Dataset[T, O, D, S]) extends Product with Serializable

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  1. ShuffleDatasetOps
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Instance Constructors

  1. new ShuffleDatasetOps(dataset: Dataset[T, O, D, S])

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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 clone(): AnyRef

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  6. val dataset: Dataset[T, O, D, S]

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

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  8. def finalize(): Unit

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

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  10. final def isInstanceOf[T0]: Boolean

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

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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  14. def shuffle(bufferSize: Long, seed: Option[Int] = None, name: String = "Shuffle"): Dataset[T, O, D, S]

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    $OpDocDatasetShuffle

    $OpDocDatasetShuffle

    bufferSize

    Buffer size, meaning the number of output elements to buffer in an iterator over this dataset.

    seed

    Seed value for the random number generator. If not provided, a random seed is used.

    name

    Name for the created dataset.

    returns

    Created dataset.

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

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  16. final def wait(): Unit

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

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

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