Class

org.platanios.tensorflow.data.XCLoader

SmallDataset

Related Doc: package XCLoader

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case class SmallDataset[TL[D <: DataType] <: TensorLike[D]](datasetType: SmallDatasetType, data: Data[TL], splits: Seq[Split]) extends Product with Serializable

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. SmallDataset
  2. Serializable
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Instance Constructors

  1. new SmallDataset(datasetType: SmallDatasetType, data: Data[TL], splits: Seq[Split])

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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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    protected[java.lang]
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  6. val data: Data[TL]

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  7. val datasetType: SmallDatasetType

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

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  9. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

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

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def split(split: Int = 0): SplitData[Tensor]

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    NOTE: This method will convert the data to dense format, even if it was loaded in sparse format.

    NOTE: This method will convert the data to dense format, even if it was loaded in sparse format.

    split

    Split index.

    returns

    Input data

  16. val splits: Seq[Split]

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

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  18. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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