NerDatasetEncoder

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]

   

6. val chars: Array[Char]

   

7. def clone(): AnyRef

   

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

   

   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]

   

   Converts Tag Identifiers to Source Names

   Converts Tag Identifiers to Source Names

   tagIds

   Tag Ids encoded for Tensorflow Model.

   returns

   Tag names

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

    

11. def encodeInputData(sentences: Array[Array[String]]): NerBatch

    

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

    

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

    

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14. def equals(arg0: Any): Boolean

    

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15. def finalize(): Unit

    

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

    

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

    

18. def hashCode(): Int

    

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19. final def isInstanceOf[T0]: Boolean

    

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

    

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21. def normalize(word: String): String

    

22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

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24. val params: DatasetEncoderParams

    

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

    

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26. val tag2Id: Map[String, Int]

    

27. val tags: Array[String]

    

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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