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trait Data extends Experimental

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  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
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  5. def chooseFromDatasets[T](selectorDataset: Dataset[Output[Long]], inputDatasets: Seq[Dataset[T]], name: String = "ChooseFromDatasets")(implicit arg0: OutputStructure[T]): Dataset[T]
    Definition Classes
    Experimental
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
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    @native() @throws( ... )
  7. def datasetFromDynamicTextFiles(filenames: Output[String], compressionType: CompressionType = NoCompression, bufferSize: Long = 256 * 1024, name: String = "TextLinesDataset"): Dataset[Output[String]]
  8. def datasetFromFixedLengthRecordFiles(filenames: Seq[String], recordNumBytes: Long, headerNumBytes: Long, footerNumBytes: Long, bufferSize: Long = 256 * 1024, name: String = "FixedLengthRecordDataset"): Dataset[Output[String]]
  9. def datasetFromGenerator[T, V, D, S](generator: () ⇒ Iterable[V], outputDataType: D, outputShape: S = null)(implicit evTensorToOutput: Aux[V, T], evOutputToDataType: Aux[T, D], evDataTypeToShape: Aux[D, S], evOutputToShape: Aux[T, S], evOutputStructure: OutputStructure[T]): Dataset[T]
  10. def datasetFromOutputSlices[T](data: T, name: String = "TensorSlicesDataset")(implicit arg0: OutputStructure[T]): Dataset[T]
  11. def datasetFromOutputs[T](data: T, name: String = "TensorDataset")(implicit arg0: OutputStructure[T]): Dataset[T]
  12. def datasetFromRange(start: Long, limit: Long, delta: Long = 1L, name: String = "RangeDataset"): Dataset[Output[Long]]
  13. def datasetFromTFRecordFiles(filenames: Seq[String], compressionType: CompressionType = NoCompression, bufferSize: Long = 256 * 1024, name: String = "TFRecordsDataset"): Dataset[Output[String]]
  14. def datasetFromTensorSlices[T, V, DD, SS](data: V, name: String = "TensorSlicesDataset")(implicit evTensorToOutput: Aux[V, T], evTensorToDataType: Aux[V, DD], evTensorToShape: Aux[V, SS], evOutputStructure: OutputStructure[T]): Dataset[T]
  15. def datasetFromTensors[T, V, DD, SS](data: V, name: String = "TensorDataset")(implicit evTensorToOutput: Aux[V, T], evTensorToDataType: Aux[V, DD], evTensorToShape: Aux[V, SS], evOutputStructure: OutputStructure[T]): Dataset[T]
  16. def datasetFromTextFiles(filenames: Seq[String], compressionType: CompressionType = NoCompression, bufferSize: Long = 256 * 1024, name: String = "TextLinesDataset"): Dataset[Output[String]]
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  18. def equals(arg0: Any): Boolean
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  19. def finalize(): Unit
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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  20. final def getClass(): Class[_]
    Definition Classes
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    Annotations
    @native()
  21. def hashCode(): Int
    Definition Classes
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    Annotations
    @native()
  22. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  23. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  24. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. final def notifyAll(): Unit
    Definition Classes
    AnyRef
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    @native()
  26. def randomDataset(seed: Option[Int] = None, name: String = "RandomDataset"): Dataset[Output[Long]]
  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  28. def toString(): String
    Definition Classes
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  29. final def wait(): Unit
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    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  31. final def wait(arg0: Long): Unit
    Definition Classes
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    @native() @throws( ... )

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