object Annotation extends Serializable
Linear Supertypes
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Type Members
- case class AnnotationContainer(__annotation: Array[Annotation]) extends Product with Serializable
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def apply(rawText: String): Annotation
-
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
- val arrayType: ArrayType
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
- def collect(dataset: Dataset[Row], column: String, columns: String*): Array[Array[Annotation]]
-
def
collect(dataset: Dataset[Row], column: String): Array[Array[Annotation]]
dataframe collect of a specific annotation column
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val
dataType: StructType
This is spark type of an annotation representing its metadata shape
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
flatten(vSep: String, aSep: String, parseEmbeddings: Boolean): UserDefinedFunction
dataframe annotation flatmap of results into strings
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def
flattenArray(parseEmbeddings: Boolean): UserDefinedFunction
dataframe annotation flatmap of result values as ArrayType
-
def
flattenArrayMetadata: UserDefinedFunction
dataframe annotation flatmap of metadata values as ArrayType
-
def
flattenDetail(vSep: String, aSep: String, parseEmbeddings: Boolean): UserDefinedFunction
dataframe annotation flatmap of results and metadata key values into strings
- def getAnnotations(row: Row, colName: String): Seq[Annotation]
- def getAnnotations(row: Row, colNum: Int): Seq[Annotation]
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getColumnByType(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): StructField
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- def searchCoverage(annotations: Array[Annotation], begin: Int, end: Int): Seq[Annotation]
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
take(dataset: Dataset[Row], column: String, howMany: Int): Array[Array[Annotation]]
dataframe take of a specific annotation column
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
- object extractors