OutputDataSet

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 build[T, DA, D, S](dataType: DA, shape: S)(implicit evDAToD: Aux[DA, D], evData: Aux[T, Output, D, S], evOToT: Aux[Output, T], evFunctionOutput: ArgType[Output]): Dataset[T, Output, D, S]

   

6. def build[T, O, DA, D, S](transformation: DataPipe[Iterable[Output], Iterable[O]], dataType: DA, shape: S)(implicit evDAToD: Aux[DA, D], evData: Aux[T, O, D, S], evOToT: Aux[O, T], evFunctionOutput: ArgType[O]): Dataset[T, O, D, S]

   

   Attributes

   protected

   Definition Classes

   DataSet

7. def build[T, O, DA, D, S](transformation: Either[DataPipe[Output, T], DataPipe[Output, O]], dataType: DA, shape: S)(implicit evDAToD: Aux[DA, D], evData: Aux[T, O, D, S], evOToT: Aux[O, T], evFunctionOutput: ArgType[O]): Dataset[T, O, D, S]

   

   Construct a TensorFlow data set, from the current data collection

   Construct a TensorFlow data set, from the current data collection

   T

   The tensor type.

   O

   Symbolic tensor (output) type.

   DA

   The type of the auxiliary data structure

   D

   The type of the data type objects for each data element.

   S

   The type of the object representing the shape of the data tensors.

   transformation

   Either a data pipe from X to T or from X to O

   dataType

   The data type of the underlying patterns.

   shape

   The shape of the data patterns, defaults to null, i.e. is inferred during run time.

   returns

   A TensorFlow data set handle.

   Definition Classes

   DataSet

8. def build_buffered[T, O, DA, D, S](buffer_size: Int, stackOp: DataPipe[Iterable[O], O], dataType: DA, shape: S = null)(implicit convertToOutput: DataPipe[Output, O], evDAToD: Aux[DA, D], evData: Aux[T, O, D, S], evOToT: Aux[O, T], evFunctionOutput: ArgType[O]): Dataset[T, O, D, S]

   

   Definition Classes

   DataSet

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. def concatenate(other: DataSet[Output]): DataSet[Output]

    

    Join the current data collection with another collection

    Join the current data collection with another collection

    Definition Classes

    DataSet

11. val data: Iterable[Output]

    

    Definition Classes

    OutputDataSet → DataSet

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

    

    Definition Classes

    AnyRef

13. def filter(pipe: DataPipe[Output, Boolean]): DataSet[Output]

    

    Filter elements of this data set which satisfy a predicate.

    Filter elements of this data set which satisfy a predicate.

    Definition Classes

    DataSet

14. def filter(filterFn: (Output) ⇒ Boolean): DataSet[Output]

    

    Definition Classes

    DataSet

15. def filterNot(pipe: DataPipe[Output, Boolean]): DataSet[Output]

    

    Filter elements of this data set which does not satisfy a predicate.

    Filter elements of this data set which does not satisfy a predicate.

    Definition Classes

    DataSet

16. def filterNot(filterFn: (Output) ⇒ Boolean): DataSet[Output]

    

    Definition Classes

    DataSet

17. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

18. def flatMap[Y](pipe: DataPipe[Output, Iterable[Y]]): DataSet[Y]

    

    Maps each element into a collection of elements of type Y, and then concatenates each resulting collection into a single data set.

    Maps each element into a collection of elements of type Y, and then concatenates each resulting collection into a single data set.

    Definition Classes

    DataSet

19. def flatMap[Y](func: (Output) ⇒ Iterable[Y]): DataSet[Y]

    

    Maps each element into a collection of elements of type Y, and then concatenates each resulting collection into a single data set.

    Maps each element into a collection of elements of type Y, and then concatenates each resulting collection into a single data set.

    Definition Classes

    DataSet

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

    

    Definition Classes

    AnyRef → Any

21. def grouped(num: Int): DataSet[Seq[Output]]

    

    Definition Classes

    DataSet

22. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

23. def map(pipe: DataPipe[Output, Output]): OutputDataSet

    

    Definition Classes

    DataSet

24. def map(func: (Output) ⇒ Output): OutputDataSet

    

    Definition Classes

    DataSet

25. def map[Y](pipe: DataPipe[Output, Y]): DataSet[Y]

    

    Creates a new data set of type Y

    Creates a new data set of type Y

    Definition Classes

    DataSet

26. def map[Y](func: (Output) ⇒ Y): DataSet[Y]

    

    Creates a new data set of type Y

    Creates a new data set of type Y

    Definition Classes

    DataSet

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

    

    Definition Classes

    AnyRef

28. final def notify(): Unit

    

    Definition Classes

    AnyRef

29. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

30. def partition(f: DataPipe[Output, Boolean]): TFDataSet[Output]

    

    Split the data collection into a train-test split.

    Split the data collection into a train-test split.

    returns

    A result of type TFDataSet, containing both the training and test splits.

    Definition Classes

    DataSet

31. def reduce[Y >: Output](reducePipe: DataPipe2[Y, Y, Y]): Y

    

    Definition Classes

    DataSet

32. def reduce[Y](transformation: DataPipe[Iterable[Output], Y]): Y

    

    Definition Classes

    DataSet

33. def reduceLeft[Y >: Output](reducePipe: DataPipe2[Y, Output, Y]): Y

    

    Definition Classes

    DataSet

34. def scan[Y >: Output](z: Y)(scanPipe: DataPipe2[Y, Y, Y]): DataSet[Y]

    

    Definition Classes

    DataSet

35. def scanLeft[Y](z: Y)(scanPipe: DataPipe2[Y, Output, Y]): DataSet[Y]

    

    Definition Classes

    DataSet

36. def scanRight[Y](z: Y)(scanPipe: DataPipe2[Output, Y, Y]): DataSet[Y]

    

    Definition Classes

    DataSet

37. lazy val size: Int

    

    Definition Classes

    DataSet

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

    

    Definition Classes

    AnyRef

39. def to_supervised[Y, Z](f: DataPipe[Output, (Y, Z)]): SupervisedDataSet[Y, Z]

    

    Convert the current collection into an instance of SupervisedDataSet.

    Convert the current collection into an instance of SupervisedDataSet.

    Definition Classes

    DataSet

40. def to_zip[Y, Z](f: DataPipe[Output, (Y, Z)]): ZipDataSet[Y, Z]

    

    Definition Classes

    DataSet

41. def transform[Y](transformation: DataPipe[Iterable[Output], Iterable[Y]]): DataSet[Y]

    

    Transform the underlying collection in a way that uses potentially all of its elements.

    Transform the underlying collection in a way that uses potentially all of its elements.

    Definition Classes

    DataSet

42. def transform[Y](transformation: (Iterable[Output]) ⇒ Iterable[Y]): DataSet[Y]

    

    Definition Classes

    DataSet

43. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

46. def zip[Y](other: DataSet[Y]): ZipDataSet[Output, Y]

    

    Create a data set consisting of (X, Y) pairs.

    Create a data set consisting of (X, Y) pairs.

    Definition Classes

    DataSet