object Annotation extends Serializable

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  1. Annotation
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Type Members

  1. case class AnnotationContainer(__annotation: Array[Annotation]) extends Product with Serializable

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 apply(rawText: String): Annotation
  5. def apply(row: Row): Annotation

    This method converts a org.apache.spark.sql.Row into an Annotation

    This method converts a org.apache.spark.sql.Row into an Annotation

    row

    spark row to be converted

    returns

    annotation

  6. val arrayType: ArrayType
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def collect(dataset: Dataset[Row], column: String, columns: String*): Array[Array[Annotation]]
  10. def collect(dataset: Dataset[Row], column: String): Array[Array[Annotation]]

    dataframe collect of a specific annotation column

  11. val dataType: StructType

    This is spark type of an annotation representing its metadata shape

  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. def flatten(vSep: String, aSep: String, parseEmbeddings: Boolean): UserDefinedFunction

    dataframe annotation flatmap of results into strings

  16. def flattenArray(parseEmbeddings: Boolean): UserDefinedFunction

    dataframe annotation flatmap of result values as ArrayType

  17. def flattenArrayMetadata: UserDefinedFunction

    dataframe annotation flatmap of metadata values as ArrayType

  18. def flattenDetail(vSep: String, aSep: String, parseEmbeddings: Boolean): UserDefinedFunction

    dataframe annotation flatmap of results and metadata key values into strings

  19. def getAnnotations(row: Row, colName: String): Seq[Annotation]
  20. def getAnnotations(row: Row, colNum: Int): Seq[Annotation]
  21. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  22. def getColumnByType(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): StructField
  23. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  26. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  27. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  28. def searchCoverage(annotations: Array[Annotation], begin: Int, end: Int): Seq[Annotation]
  29. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  30. def take(dataset: Dataset[Row], column: String, howMany: Int): Array[Array[Annotation]]

    dataframe take of a specific annotation column

  31. def toString(): String
    Definition Classes
    AnyRef → Any
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  35. object extractors

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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