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(embeddingsResolver: Function[String, Array[Float]], 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 clone(): AnyRef

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

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  7. val embeddingsResolver: Function[String, Array[Float]]

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  8. def encodeInputData(sentences: Array[Array[String]], start: Array[Int], end: Array[Int], maxSentenceLength: Int = 250): 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 getOrElse[T](source: Array[T], i: Int, value: ⇒ T): T

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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

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

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  20. val nonTargetMark: Array[Float]

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

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  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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  24. val params: DatasetEncoderParams

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

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

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  27. val targetMark: Array[Float]

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  28. def toString(): String

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  29. final def wait(): Unit

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

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

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