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org.platanios.tensorflow.api.tf

data

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Type Members

  1. type BatchDataset[T, O, D, S] = ops.io.data.BatchDataset[T, O, D, S]

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  2. type CacheDataset[T, O, D, S] = ops.io.data.CacheDataset[T, O, D, S]

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  3. type ConcatenatedDataset[T, O, D, S] = ops.io.data.ConcatenatedDataset[T, O, D, S]

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  4. type Dataset[T, O, D, S] = ops.io.data.Dataset[T, O, D, S]

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  5. type DropDataset[T, O, D, S] = ops.io.data.DropDataset[T, O, D, S]

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  6. type FilterDataset[T, O, D, S] = ops.io.data.FilterDataset[T, O, D, S]

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  7. type FixedLengthRecordDataset = ops.io.data.FixedLengthRecordDataset

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  8. type FlatMapDataset[T, O, D, S, RT, RO, RD, RS] = ops.io.data.FlatMapDataset[T, O, D, S, RT, RO, RD, RS]

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  9. type GroupByWindowDataset[T, O, D, S] = ops.io.data.GroupByWindowDataset[T, O, D, S]

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  10. type IgnoreErrorsDataset[T, O, D, S] = ops.io.data.IgnoreErrorsDataset[T, O, D, S]

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  11. type MapDataset[T, O, D, S, RT, RO, RD, RS] = ops.io.data.MapDataset[T, O, D, S, RT, RO, RD, RS]

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  12. type OutputDataset[T, O, D, S] = ops.io.data.OutputDataset[T, O, D, S]

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  13. type OutputSlicesDataset[T, O, D, S] = ops.io.data.OutputSlicesDataset[T, O, D, S]

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  14. type PaddedBatchDataset[T, O, D, S] = ops.io.data.PaddedBatchDataset[T, O, D, S]

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  15. type PrefetchDataset[T, O, D, S] = ops.io.data.PrefetchDataset[T, O, D, S]

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  16. type RangeDataset = ops.io.data.RangeDataset

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  17. type Reader = ops.io.Reader

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  18. type RepeatDataset[T, O, D, S] = ops.io.data.RepeatDataset[T, O, D, S]

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  19. type ShuffleDataset[T, O, D, S] = ops.io.data.ShuffleDataset[T, O, D, S]

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  20. type SparseOutputSlicesDataset = ops.io.data.SparseOutputSlicesDataset

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  21. type SparseTensorSlicesDataset = ops.io.data.SparseTensorSlicesDataset

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  22. type TFRecordDataset = ops.io.data.TFRecordDataset

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  23. type TakeDataset[T, O, D, S] = ops.io.data.TakeDataset[T, O, D, S]

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  24. type TensorDataset[T, O, D, S] = ops.io.data.TensorDataset[T, O, D, S]

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  25. type TensorSlicesDataset[T, O, D, S] = ops.io.data.TensorSlicesDataset[T, O, D, S]

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  26. type TextLinesDataset = ops.io.data.TextLinesDataset

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  27. type Zip3Dataset[T1, O1, D1, S1, T2, O2, D2, S2, T3, O3, D3, S3] = ops.io.data.Zip3Dataset[T1, O1, D1, S1, T2, O2, D2, S2, T3, O3, D3, S3]

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  28. type ZipDataset[T1, O1, D1, S1, T2, O2, D2, S2] = ops.io.data.ZipDataset[T1, O1, D1, S1, T2, O2, D2, S2]

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  29. type ZipMultipleDataset[T, O, D, S] = ops.io.data.ZipMultipleDataset[T, O, D, S]

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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. val BatchDataset: ops.io.data.BatchDataset.type

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  5. val CacheDataset: ops.io.data.CacheDataset.type

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  6. val ConcatenatedDataset: ops.io.data.ConcatenatedDataset.type

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  7. val DropDataset: ops.io.data.DropDataset.type

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  8. val FilterDataset: ops.io.data.FilterDataset.type

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  9. val FixedLengthRecordDataset: ops.io.data.FixedLengthRecordDataset.type

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  10. val FlatMapDataset: ops.io.data.FlatMapDataset.type

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  11. val GroupByWindowDataset: ops.io.data.GroupByWindowDataset.type

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  12. val IgnoreErrorsDataset: ops.io.data.IgnoreErrorsDataset.type

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  13. val MapDataset: ops.io.data.MapDataset.type

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  14. val OutputDataset: ops.io.data.OutputDataset.type

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  15. val OutputSlicesDataset: ops.io.data.OutputSlicesDataset.type

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  16. val PaddedBatchDataset: ops.io.data.PaddedBatchDataset.type

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  17. val PrefetchDataset: ops.io.data.PrefetchDataset.type

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  18. val RangeDataset: ops.io.data.RangeDataset.type

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  19. val RepeatDataset: ops.io.data.RepeatDataset.type

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  20. val ShuffleDataset: ops.io.data.ShuffleDataset.type

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  21. val SparseOutputSlicesDataset: ops.io.data.SparseOutputSlicesDataset.type

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  22. val SparseTensorSlicesDataset: ops.io.data.SparseTensorSlicesDataset.type

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  23. val TFRecordDataset: ops.io.data.TFRecordDataset.type

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  24. val TakeDataset: ops.io.data.TakeDataset.type

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  25. val TensorDataset: ops.io.data.TensorDataset.type

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  26. val TensorSlicesDataset: ops.io.data.TensorSlicesDataset.type

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  27. val TextLinesDataset: ops.io.data.TextLinesDataset.type

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  28. val Zip3Dataset: ops.io.data.Zip3Dataset.type

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  29. val ZipDataset: ops.io.data.ZipDataset.type

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  30. val ZipMultipleDataset: ops.io.data.ZipMultipleDataset.type

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  31. final def asInstanceOf[T0]: T0

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  32. def clone(): AnyRef

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

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  34. def equals(arg0: Any): Boolean

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  35. def finalize(): Unit

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  36. def fixedLengthRecordReader(recordBytes: Int, headerBytes: Int = 0, footerBytes: Int = 0, hopBytes: Int = 0, compressionType: CompressionType = NoCompression, sharedName: String = "", name: String = "FixedLengthRecordReader"): Reader

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  37. def fromGenerator[T, O, DA, D, S](generator: () ⇒ Iterable[T], outputDataType: DA, outputShape: S = null)(implicit evDAToD: Aux[DA, D], evData: Aux[T, O, D, S], evOToT: Aux[O, T], evFunctionOutput: ArgType[O]): Dataset[T, O, D, S]

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

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  39. def hashCode(): Int

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  40. def identityReader(sharedName: String = "", name: String = "IdentityReader"): Reader

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  41. final def isInstanceOf[T0]: Boolean

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  42. def iteratorFromDataset[T, O, D, S](dataset: ops.io.data.Dataset[T, O, D, S], sharedName: String = "", name: String = "InitializableIterator")(implicit ev: Aux[T, O, D, S]): InitializableIterator[T, O, D, S]

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  43. def iteratorFromStringHandle[T, O, D, S](stringHandle: ops.Output, outputDataTypes: D, outputShapes: S, name: String = "IteratorFromStringHandle")(implicit ev: Aux[T, O, D, S]): Iterator[T, O, D, S]

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  44. def iteratorFromStructure[T, O, D, S](outputDataTypes: D, outputShapes: S, sharedName: String = "", name: String = "Iterator")(implicit ev: Aux[T, O, D, S]): Iterator[T, O, D, S]

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  45. def matchingFiles(pattern: ops.Output, name: String = "MatchingFiles"): ops.Output

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

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  47. final def notify(): Unit

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  48. final def notifyAll(): Unit

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  49. def readFile(filename: ops.Output, name: String = "ReadFile"): ops.Output

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

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  51. def textLineReader(skipHeaderLines: Int = 0, sharedName: String = "", name: String = "TextLineReader"): Reader

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  52. def tfRecordReader(compressionType: CompressionType = NoCompression, sharedName: String = "", name: String = "TFRecordReader"): Reader

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  53. def toString(): String

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  54. final def wait(): Unit

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

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

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  57. def wholeFileReader(sharedName: String = "", name: String = "WholeFileReader"): SerializableReader

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  58. def writeFile(filename: ops.Output, contents: ops.Output, name: String = "WriteFile"): ops.Op

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