Class

com.johnsnowlabs.ml.tensorflow

AssertionDatasetEncoder

Related Doc: package tensorflow

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class AssertionDatasetEncoder extends AnyRef

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Instance Constructors

  1. new AssertionDatasetEncoder(params: DatasetEncoderParams, extraFeatSize: Int = 10)

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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 centerIfTooLong(maxSentLen: Int)(sentence: WordpieceEmbeddingsSentence, start: Int, end: Int): (WordpieceEmbeddingsSentence, Int, Int)

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    protected
  6. def clone(): AnyRef

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  7. def decodeOutputData(tagIds: Array[Int]): Array[String]

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  8. def encodeInputData(sentences: Array[WordpieceEmbeddingsSentence], start: Array[Int], end: Array[Int], embeddingsDim: Int, maxSentenceLength: Int): AssertionBatch

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  9. def encodeOneHot(label: String): Array[Float]

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

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  11. def equals(arg0: Any): Boolean

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  12. val extraFeatSize: Int

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def l2norm(xs: Array[Float]): Float

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

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  19. val nonTargetMark: Array[Float]

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  20. def normalize(vec: Array[Float]): Array[Float]

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val params: DatasetEncoderParams

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  24. def randomSplit(dataset: Seq[Datapoint], fraction: Float): (Seq[Datapoint], Seq[Datapoint])

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

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  26. val targetMark: Array[Float]

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  27. def toString(): String

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  28. final def wait(): Unit

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

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

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