Packages

abstract class Dataset[T] extends AnyRef

Self Type
Dataset[T]
Linear Supertypes
AnyRef, Any
Known Subclasses
VariantDataset
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  1. Dataset
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Instance Constructors

  1. new Dataset()(implicit arg0: OutputStructure[T])

Abstract Value Members

  1. abstract def createHandle[D, S]()(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Output[core.types.Variant]
  2. abstract val name: String
  3. abstract def outputDataTypes[D](implicit ev: Aux[T, D]): D
  4. abstract def outputShapes[S](implicit ev: Aux[T, S]): S

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def batch[D, S](batchSize: Long, dropRemainder: Boolean = false)(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
  6. def cache(directory: Output[String]): Dataset[T]
  7. def cache(directory: String): Dataset[T]
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  9. def concatenateWith[D, S](other: Dataset[T], name: String = s"${this.name}/Concatenated")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
  10. def createInitializableIterator[D, S](sharedName: String = "", name: String = "InitializableDatasetIterator")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): InitializableDatasetIterator[T]
  11. def drop(count: Output[Long]): Dataset[T]
  12. def drop(count: Long): Dataset[T]
  13. def dynamicBatch[D, S](batchSize: Output[Long], dropRemainder: Output[Boolean] = false)(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def filter(predicate: (T) ⇒ Output[Boolean], name: String = s"${this.name}/Filter"): Dataset[T]
  17. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. def flatMap[D, S, R, RD, RS](function: (T) ⇒ Dataset[R], name: String = s"${this.name}/FlatMap")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S], evOutputToDataType: Aux[R, RD], evOutputToShape: Aux[R, RS]): Dataset[R]
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. def groupByWindow[D, S](keyFn: (T) ⇒ Output[Long], reduceFn: ((Output[Long], Dataset[T])) ⇒ Dataset[T], windowSizeFn: (Output[Long]) ⇒ Output[Long], name: String = s"${this.name}/GroupByWindow")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S], evOutputToDataType211Helper: Aux[(Output[Long], Dataset[T]), (core.types.DataType[Long], core.types.DataType[core.types.Variant])], evOutputToShape211Helper: Aux[(Output[Long], Dataset[T]), (core.Shape, core.Shape)]): Dataset[T]
  21. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  22. def ignoreErrors(): Dataset[T]
  23. def interleave[D, S, R, RD, RS](function: (T) ⇒ Dataset[R], cycleLength: Long, blockLength: Long = 1L, numParallelCalls: Int = 1, name: String = "Interleave")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S], evOutputToDataType: Aux[R, RD], evOutputToShape: Aux[R, RS]): Dataset[R]
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. def map[D, S, R](function: (T) ⇒ R, numParallelCalls: Int = 1, name: String = s"${this.name}/Map")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S]): Dataset[R]
  26. def mapAndBatch[D, S, R](function: (T) ⇒ R, batchSize: Long, numParallelCalls: Long = 1L, dropRemainder: Boolean = false, name: String = s"${this.name}/Map")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S]): Dataset[R]
  27. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  30. def paddedBatch[D, S, V](batchSize: Long, paddedShapes: S, paddingValues: Option[V] = None, name: String = s"${this.name}/PaddedBatch")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S], evOutputToTensor: Aux[T, V]): Dataset[T]
  31. def prefetch(bufferSize: Long): Dataset[T]
  32. def repeat(count: Long = -1L): Dataset[T]
  33. def shard[D, S](numShards: Long, shardIndex: Long)(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S], evOutputToDataType211Helper: Aux[(T, Output[Long]), (D, core.types.DataType[Long])], evOutputToShape211Helper: Aux[(T, Output[Long]), (S, core.Shape)]): Dataset[T]
    Annotations
    @throws( ... )
  34. def shuffle(bufferSize: Long, seed: Option[Int] = None): Dataset[T]
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  36. def take(count: Output[Long]): Dataset[T]
  37. def take(count: Long): Dataset[T]
  38. def toString(): String
    Definition Classes
    Dataset → AnyRef → Any
  39. def transform[R](transformFn: (Dataset[T]) ⇒ Dataset[R])(implicit evR: OutputStructure[R]): Dataset[R]
  40. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  43. def zip[D, S, R, RD, RS](other: Dataset[R], name: String = s"${this.name}/Zip")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S], evOutputToDataTypeR: Aux[R, RD], evOutputToShapeR: Aux[R, RS]): Dataset[(T, R)]
  44. def zip3[D, S, R1, RD1, RS1, R2, RD2, RS2](other1: Dataset[R1], other2: Dataset[R2], name: String = s"${this.name}/Zip")(implicit arg0: OutputStructure[R1], arg1: OutputStructure[R2], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S], evOutputToDataTypeR1: Aux[R1, RD1], evOutputToShapeR1: Aux[R1, RS1], evOutputToDataTypeR2: Aux[R2, RD2], evOutputToShapeR2: Aux[R2, RS2]): Dataset[(T, R1, R2)]
  45. def zipMultiple[D, S](others: Seq[Dataset[T]], name: String = s"${this.name}/Zip")(implicit evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S]): Dataset[Seq[T]]

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