case class VariantDataset[T](handle: ops.Output[core.types.Variant], _outputDataTypes: Any = null, _outputShapes: Any = null)(implicit evidence$1: OutputStructure[T]) extends Dataset[T] with Product with Serializable

Linear Supertypes
Serializable, Product, Equals, Dataset[T], AnyRef, Any
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Inherited
  1. VariantDataset
  2. Serializable
  3. Product
  4. Equals
  5. Dataset
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new VariantDataset(handle: ops.Output[core.types.Variant], _outputDataTypes: Any = null, _outputShapes: Any = null)(implicit arg0: OutputStructure[T])
    Attributes
    protected

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]
    Definition Classes
    Dataset
  6. def cache(directory: ops.Output[String]): Dataset[T]
    Definition Classes
    Dataset
  7. def cache(directory: String): Dataset[T]
    Definition Classes
    Dataset
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  9. def concatenateWith[D, S](other: Dataset[T], name: String = s"${this.name}/Concatenated")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
    Definition Classes
    Dataset
  10. def createHandle[D, S]()(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): ops.Output[core.types.Variant]
    Definition Classes
    VariantDataset → Dataset
  11. def createInitializableIterator[D, S](sharedName: String = "", name: String = "InitializableDatasetIterator")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): InitializableDatasetIterator[T]
    Definition Classes
    Dataset
  12. def drop(count: ops.Output[Long]): Dataset[T]
    Definition Classes
    Dataset
  13. def drop(count: Long): Dataset[T]
    Definition Classes
    Dataset
  14. def dynamicBatch[D, S](batchSize: ops.Output[Long], dropRemainder: ops.Output[Boolean] = false)(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
    Definition Classes
    Dataset
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def filter(predicate: (T) => ops.Output[Boolean], name: String = s"${this.name}/Filter"): Dataset[T]
    Definition Classes
    Dataset
  17. def flatMap[D, S, R, RD, RS](function: (T) => Dataset[R], name: String = s"${this.name}/FlatMap")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S], evOutputToDataType: Aux[R, RD], evOutputToShape: Aux[R, RS]): Dataset[R]
    Definition Classes
    Dataset
  18. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. def groupByWindow[D, S](keyFn: (T) => ops.Output[Long], reduceFn: ((ops.Output[Long], Dataset[T])) => Dataset[T], windowSizeFn: (ops.Output[Long]) => ops.Output[Long], name: String = s"${this.name}/GroupByWindow")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
    Definition Classes
    Dataset
  20. val handle: ops.Output[core.types.Variant]
  21. def ignoreErrors(): Dataset[T]
    Definition Classes
    Dataset
  22. 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]
    Definition Classes
    Dataset
  23. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  24. def map[D, S, R](function: (T) => R, numParallelCalls: Int = 1, name: String = s"${this.name}/Map")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S]): Dataset[R]
    Definition Classes
    Dataset
  25. def mapAndBatch[D, S, R](function: (T) => R, batchSize: Long, numParallelCalls: Long = 1L, dropRemainder: Boolean = false, name: String = s"${this.name}/Map")(implicit arg0: OutputStructure[R], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S]): Dataset[R]
    Definition Classes
    Dataset
  26. val name: String
    Definition Classes
    VariantDataset → Dataset
  27. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  30. def outputDataTypes[D](implicit ev: Aux[T, D]): D
    Definition Classes
    VariantDataset → Dataset
  31. def outputShapes[S](implicit ev: Aux[T, S]): S
    Definition Classes
    VariantDataset → Dataset
  32. def paddedBatch[D, S, V](batchSize: Long, paddedShapes: S, paddingValues: Option[V] = None, name: String = s"${this.name}/PaddedBatch")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S], evOutputToTensor: Aux[T, V]): Dataset[T]
    Definition Classes
    Dataset
  33. def prefetch(bufferSize: Long): Dataset[T]
    Definition Classes
    Dataset
  34. def productElementNames: Iterator[String]
    Definition Classes
    Product
  35. def repeat(count: Long = -1L): Dataset[T]
    Definition Classes
    Dataset
  36. def shard[D, S](numShards: Long, shardIndex: Long)(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Dataset[T]
    Definition Classes
    Dataset
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  37. def shuffle(bufferSize: Long, reshuffleEachIteration: Boolean = true, seed: Option[Int] = None): Dataset[T]
    Definition Classes
    Dataset
  38. def shuffleAndRepeat(bufferSize: Long, count: Long = -1L, seed: Option[Int] = None): Dataset[T]
    Definition Classes
    Dataset
  39. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  40. def take(count: ops.Output[Long]): Dataset[T]
    Definition Classes
    Dataset
  41. def take(count: Long): Dataset[T]
    Definition Classes
    Dataset
  42. def toString(): String
    Definition Classes
    Dataset → AnyRef → Any
  43. def transform[R](transformFn: (Dataset[T]) => Dataset[R])(implicit evR: OutputStructure[R]): Dataset[R]
    Definition Classes
    Dataset
  44. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  45. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  46. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  47. def zip[D, S, R, RD, RS](other: Dataset[R], name: String = s"${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)]
    Definition Classes
    Dataset
  48. def zip3[D, S, R1, RD1, RS1, R2, RD2, RS2](other1: Dataset[R1], other2: Dataset[R2], name: String = s"${this.name}/Zip")(implicit arg0: OutputStructure[R1], arg1: OutputStructure[R2], evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S], evOutputToDataTypeR1: Aux[R1, RD1], evOutputToShapeR1: Aux[R1, RS1], evOutputToDataTypeR2: Aux[R2, RD2], evOutputToShapeR2: Aux[R2, RS2]): Dataset[(T, R1, R2)]
    Definition Classes
    Dataset
  49. def zipMultiple[D, S](others: Seq[Dataset[T]], name: String = s"${this.name}/Zip")(implicit evOutputToDataTypeT: Aux[T, D], evOutputToShapeT: Aux[T, S]): Dataset[Seq[T]]
    Definition Classes
    Dataset

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Dataset[T]

Inherited from AnyRef

Inherited from Any

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