NerTagged

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def annotatorType: String

   

   Definition Classes

   NerTagged → Annotated

5. final def asInstanceOf[T0]: T0

   

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   Any

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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7. def collectLabeledInstances(dataset: Dataset[Row], taggedCols: Seq[String], labelColumn: String): Array[(TextSentenceLabels, NerTaggedSentence)]

   

   Method is usefull for testing.

   Method is usefull for testing. It's possible to collect: - correct labels TextSentenceLabels - and model prediction NerTaggedSentence

   Definition Classes

   Tagged

8. def collectTrainingInstancesWithPos(dataset: Dataset[Row], posTaggedCols: Seq[String], labelColumn: String): Array[(TextSentenceLabels, PosTaggedSentence, WordpieceEmbeddingsSentence)]

   

9. val emptyTag: String

   

   Definition Classes

   Tagged

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

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

13. def getAnnotations(row: Row, colNum: Int): Seq[Annotation]

    

    Definition Classes

    Tagged

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

    

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15. def getLabelsFromSentences(sentences: Seq[WordpieceEmbeddingsSentence], labelAnnotations: Seq[Annotation]): Seq[TextSentenceLabels]

    

    Attributes

    protected

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    Tagged

16. def getLabelsFromTaggedSentences(sentences: Seq[TaggedSentence], labelAnnotations: Seq[Annotation]): Seq[TextSentenceLabels]

    

    Attributes

    protected

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    Tagged

17. def hashCode(): Int

    

    Definition Classes

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18. def interateOnArray(inputArray: Array[Row], sentenceCols: Seq[String], labelColumn: String, batchSize: Int): Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]]

    

    FIXME: ColNums not always in the given order

19. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

20. def iterateOnDataframe(dataset: Dataset[Row], sentenceCols: Seq[String], labelColumn: String, batchSize: Int): Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]]

    

    FIXME: ColNums not always in the given order

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

    

    Definition Classes

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22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

    Definition Classes

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24. def pack(items: Seq[NerTaggedSentence]): Seq[Annotation]

    

    Definition Classes

    Tagged → Annotated

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

    

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26. def toString(): String

    

    Definition Classes

    AnyRef → Any

27. def unpack(annotations: Seq[Annotation]): Seq[NerTaggedSentence]

    

    Definition Classes

    Tagged → Annotated

28. final def wait(): Unit

    

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )