Class

com.johnsnowlabs.ml.tensorflow

NerDatasetEncoder

Related Doc: package tensorflow

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class NerDatasetEncoder extends Serializable

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Instance Constructors

  1. new NerDatasetEncoder(params: DatasetEncoderParams)

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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. val char2Id: Map[Char, Int]

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  6. val chars: Array[Char]

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  7. def clone(): AnyRef

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  8. def convertBatchTags(tags: Array[String], sentenceLength: Array[Int]): Array[Array[String]]

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    Converts Tensorflow tags output to 2-dimensional Array with shape: (Batch, Sentence Length).

    Converts Tensorflow tags output to 2-dimensional Array with shape: (Batch, Sentence Length).

    tags

    2-dimensional tensor in plain array

    sentenceLength

    Every sentence length (number of words).

    returns

    List of tags for each sentence

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

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    Converts Tag Identifiers to Source Names

    Converts Tag Identifiers to Source Names

    tagIds

    Tag Ids encoded for Tensorflow Model.

    returns

    Tag names

  10. def encodeInputData(sentences: Array[WordpieceEmbeddingsSentence]): NerBatch

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  11. def encodeTags(tags: Array[Array[String]]): Array[Array[Int]]

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

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  13. def equals(arg0: Any): Boolean

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  14. def finalize(): Unit

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

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  16. def getOrElse[T](source: Array[T], i: Int, value: ⇒ T): T

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  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. val params: DatasetEncoderParams

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

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  24. val tag2Id: Map[String, Int]

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  25. val tags: Array[String]

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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