c

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

HTTPInputParser

abstract class HTTPInputParser extends Transformer with HasOutputCol with HasInputCol with Wrappable

Linear Supertypes
Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasInputCol, HasOutputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
CustomInputParser, JSONInputParser
Ordering
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  2. By Inheritance
Inherited
  1. HTTPInputParser
  2. Wrappable
  3. RWrappable
  4. PythonWrappable
  5. BaseWrappable
  6. HasInputCol
  7. HasOutputCol
  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 HTTPInputParser()

Abstract Value Members

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

Concrete Value Members

  1. final def clear(param: Param[_]): HTTPInputParser.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Transformer
    Definition Classes
    HTTPInputParser → 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. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  14. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  15. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  16. val inputCol: Param[String]

    The name of the input column

    The name of the input column

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

    The name of the output column

    The name of the output column

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

    Definition Classes
    HasInputCol
  27. def setOutputCol(value: String): HTTPInputParser.this.type

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