c

com.microsoft.azure.synapse.ml.io.http

HTTPOutputParser

abstract class HTTPOutputParser extends Transformer with HasInputCol with HasOutputCol with Wrappable

Linear Supertypes
Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
CustomOutputParser, JSONOutputParser, StringOutputParser
Ordering
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  2. By Inheritance
Inherited
  1. HTTPOutputParser
  2. Wrappable
  3. RWrappable
  4. PythonWrappable
  5. BaseWrappable
  6. HasOutputCol
  7. HasInputCol
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new HTTPOutputParser()

Abstract Value Members

  1. abstract def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  2. abstract def transformSchema(schema: StructType): StructType
    Definition Classes
    PipelineStage
  3. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def clear(param: Param[_]): HTTPOutputParser.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): HTTPOutputParser.this.type
    Definition Classes
    HTTPOutputParser → Transformer → PipelineStage → Params
  3. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  4. def explainParams(): String
    Definition Classes
    Params
  5. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  6. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  7. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  8. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. def getInputCol: String

    Definition Classes
    HasInputCol
  10. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  11. def getOutputCol: String

    Definition Classes
    HasOutputCol
  12. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  13. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  14. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  15. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  16. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  17. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  18. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  19. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  20. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  21. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  22. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  23. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  24. final def set[T](param: Param[T], value: T): HTTPOutputParser.this.type
    Definition Classes
    Params
  25. def setInputCol(value: String): HTTPOutputParser.this.type

    Definition Classes
    HasInputCol
  26. def setOutputCol(value: String): HTTPOutputParser.this.type

    Definition Classes
    HasOutputCol
  27. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  28. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  29. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()