Class

com.spotify.scio.tensorflow

SeqTFExampleSCollectionFunctions

Related Doc: package tensorflow

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class SeqTFExampleSCollectionFunctions[T <: Example] extends Serializable

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  1. SeqTFExampleSCollectionFunctions
  2. Serializable
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Instance Constructors

  1. new SeqTFExampleSCollectionFunctions(self: SCollection[Seq[T]])

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def mergeExamples(e: Seq[Example]): Example

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def saveAsTfExampleFile(path: String, fe: MultiFeatureExtractor[SCollection, _], compression: Compression): (Future[Tap[Example]], Future[Tap[String]])

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    Merge each Seq of Example and save them as TensorFlow TFRecord files.

    Merge each Seq of Example and save them as TensorFlow TFRecord files. Caveat: if some feature names are repeated in different feature specs, they will be collapsed.

    fe

    FeatureExtractor, obtained from Featran after calling extract on a com.spotify.featran.MultiFeatureSpec

  17. def saveAsTfExampleFile(path: String, fe: MultiFeatureExtractor[SCollection, _]): (Future[Tap[Example]], Future[Tap[String]])

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    Merge each Seq of Example and save them as TensorFlow TFRecord files.

    Merge each Seq of Example and save them as TensorFlow TFRecord files. Caveat: if some feature names are repeated in different feature specs, they will be collapsed.

    fe

    FeatureExtractor, obtained from Featran after calling extract on a com.spotify.featran.MultiFeatureSpec

  18. val self: SCollection[Seq[T]]

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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