object NerTagged extends Tagged[NerTaggedSentence]

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  1. NerTagged
  2. Tagged
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def annotatorType: String
    Definition Classes
    NerTaggedAnnotated
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  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
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. def getAnnotations(row: Row, colNum: Int): Seq[Annotation]
    Definition Classes
    Tagged
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getLabelsFromSentences(sentences: Seq[WordpieceEmbeddingsSentence], labelAnnotations: Seq[Annotation]): Seq[TextSentenceLabels]
    Attributes
    protected
    Definition Classes
    Tagged
  16. def getLabelsFromTaggedSentences(sentences: Seq[TaggedSentence], labelAnnotations: Seq[Annotation]): Seq[TextSentenceLabels]
    Attributes
    protected
    Definition Classes
    Tagged
  17. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  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
    AnyRef
  22. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. def pack(items: Seq[NerTaggedSentence]): Seq[Annotation]
    Definition Classes
    TaggedAnnotated
  25. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  26. def toString(): String
    Definition Classes
    AnyRef → Any
  27. def unpack(annotations: Seq[Annotation]): Seq[NerTaggedSentence]
    Definition Classes
    TaggedAnnotated
  28. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Tagged[NerTaggedSentence]

Inherited from Annotated[NerTaggedSentence]

Inherited from AnyRef

Inherited from Any

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