class UDFTransformer extends Transformer with Wrappable with ComplexParamsWritable with HasInputCol with HasInputCols with HasOutputCol with SynapseMLLogging

UDFTransformer takes as input input column, output column, and a UserDefinedFunction returns a dataframe comprised of the original columns with the output column as the result of the udf applied to the input column

Linear Supertypes
SynapseMLLogging, HasOutputCol, HasInputCols, HasInputCol, ComplexParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. UDFTransformer
  2. SynapseMLLogging
  3. HasOutputCol
  4. HasInputCols
  5. HasInputCol
  6. ComplexParamsWritable
  7. MLWritable
  8. Wrappable
  9. RWrappable
  10. PythonWrappable
  11. BaseWrappable
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new UDFTransformer()
  2. new UDFTransformer(uid: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def applyUDF(col: Column): Column
  6. def applyUDFOnCols(cols: Column*): Column
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  9. final def clear(param: Param[_]): UDFTransformer.this.type
    Definition Classes
    Params
  10. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  11. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  12. def copy(extra: ParamMap): UDFTransformer
    Definition Classes
    UDFTransformer → Transformer → PipelineStage → Params
  13. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  15. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  16. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  18. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  19. def explainParams(): String
    Definition Classes
    Params
  20. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  21. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  22. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  23. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  24. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  25. def getDataType: DataType
  26. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  27. def getInputCol: String

    Definition Classes
    HasInputCol
  28. def getInputCols: Array[String]

    Definition Classes
    HasInputCols
  29. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  30. def getOutputCol: String

    Definition Classes
    HasOutputCol
  31. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  32. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  33. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  34. def getUDF: UserDefinedFunction

  35. def getUDPyF: UserDefinedPythonFunction

  36. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  37. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  38. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  39. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  40. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  42. val inputCols: StringArrayParam

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols
  43. val invalidColumnSetError: String
  44. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  45. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  46. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  47. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  48. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  49. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  50. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  51. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  52. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  57. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  58. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  61. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  64. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  65. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  68. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  69. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  70. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  71. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  72. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  73. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  74. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  75. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  76. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  77. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  81. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    UDFTransformer → PythonWrappable
  82. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  94. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  97. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  98. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  99. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  100. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  101. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  102. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  103. final def set(paramPair: ParamPair[_]): UDFTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  104. final def set(param: String, value: Any): UDFTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  105. final def set[T](param: Param[T], value: T): UDFTransformer.this.type
    Definition Classes
    Params
  106. final def setDefault(paramPairs: ParamPair[_]*): UDFTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  107. final def setDefault[T](param: Param[T], value: T): UDFTransformer.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  108. def setInputCol(value: String): UDFTransformer.this.type

    Definition Classes
    UDFTransformer → HasInputCol
  109. def setInputCols(value: Array[String]): UDFTransformer.this.type

    Definition Classes
    UDFTransformer → HasInputCols
  110. def setOutputCol(value: String): UDFTransformer.this.type

    Definition Classes
    HasOutputCol
  111. def setUDF(value: UserDefinedPythonFunction): UDFTransformer.this.type

  112. def setUDF(value: UserDefinedFunction): UDFTransformer.this.type

  113. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  114. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  115. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  116. def transform(dataset: Dataset[_]): DataFrame

    dataset

    - The input dataset, to be transformed

    returns

    The DataFrame that results from applying the udf to the inputted dataset

    Definition Classes
    UDFTransformer → Transformer
  117. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  118. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  119. def transformSchema(schema: StructType): StructType
    Definition Classes
    UDFTransformer → PipelineStage
  120. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  121. val udfParams: Seq[ComplexParam[_]]
  122. val udfPython: UDPyFParam
  123. val udfPythonKey: String
  124. val udfScala: UDFParam
  125. val udfScalaKey: String
  126. val uid: String
    Definition Classes
    UDFTransformer → SynapseMLLogging → Identifiable
  127. def validateAndTransformSchema(schema: StructType): StructType
  128. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  129. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  130. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  131. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from HasOutputCol

Inherited from HasInputCols

Inherited from HasInputCol

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped