Class/Object

com.microsoft.ml.spark

UDFTransformer

Related Docs: object UDFTransformer | package spark

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

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

Annotations
@InternalWrapper()
Linear Supertypes
HasOutputCol, HasInputCols, HasInputCol, ComplexParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. UDFTransformer
  2. HasOutputCol
  3. HasInputCols
  4. HasInputCol
  5. ComplexParamsWritable
  6. MLWritable
  7. Wrappable
  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 UDFTransformer()

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  2. new UDFTransformer(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. def applyUDF(col: Column): Column

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  6. def applyUDFOnCols(cols: Column*): Column

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  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. final def clear(param: Param[_]): UDFTransformer.this.type

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    Definition Classes
    Params

  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  10. def copy(extra: ParamMap): UDFTransformer

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    Definition Classes
    UDFTransformer → Transformer → PipelineStage → Params

  11. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  12. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  13. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  15. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  18. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  20. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  21. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  22. def getDataType: DataType

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  23. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  24. def getInputCol: String

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    Definition Classes
    HasInputCol

  25. def getInputCols: Array[String]

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    Definition Classes
    HasInputCols

  26. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  27. def getOutputCol: String

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    Definition Classes
    HasOutputCol

  28. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  29. def getUDF: UserDefinedFunction

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  30. def getUDPyF: UserDefinedPythonFunction

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  31. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  32. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  34. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  36. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

  37. val inputCols: StringArrayParam

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    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols

  38. val invalidColumnSetError: String

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  39. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  40. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  41. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  42. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  43. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  44. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  49. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  51. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  55. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  56. final def notify(): Unit

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    Definition Classes
    AnyRef

  57. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  58. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

  59. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  60. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  61. final def set(paramPair: ParamPair[_]): UDFTransformer.this.type

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    Attributes
    protected
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    Params

  62. final def set(param: String, value: Any): UDFTransformer.this.type

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    Attributes
    protected
    Definition Classes
    Params

  63. final def set[T](param: Param[T], value: T): UDFTransformer.this.type

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    Definition Classes
    Params

  64. final def setDefault(paramPairs: ParamPair[_]*): UDFTransformer.this.type

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    Attributes
    protected
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    Params

  65. final def setDefault[T](param: Param[T], value: T): UDFTransformer.this.type

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    Attributes
    protected
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    Params

  66. def setInputCol(value: String): UDFTransformer.this.type

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    Definition Classes
    UDFTransformer → HasInputCol

  67. def setInputCols(value: Array[String]): UDFTransformer.this.type

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    Definition Classes
    UDFTransformer → HasInputCols

  68. def setOutputCol(value: String): UDFTransformer.this.type

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    Definition Classes
    HasOutputCol

  69. def setUDF(value: UserDefinedPythonFunction): UDFTransformer.this.type

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

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  71. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  72. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  73. def transform(dataset: Dataset[_]): DataFrame

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    dataset

    - The input dataset, to be transformed

    returns

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

    Definition Classes
    UDFTransformer → Transformer

  74. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  75. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  76. def transformSchema(schema: StructType): StructType

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    Definition Classes
    UDFTransformer → PipelineStage

  77. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  78. val udfParams: Seq[ComplexParam[_ >: UserDefinedPythonFunction with UserDefinedFunction <: Product with Serializable]]

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  79. val udfPython: UDPyFParam

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  80. val udfPythonKey: String

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  81. val udfScala: UDFParam

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  82. val udfScalaKey: String

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  83. val uid: String

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    Definition Classes
    UDFTransformer → Identifiable

  84. def validateAndTransformSchema(schema: StructType): StructType

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  85. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  86. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
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    @throws( ... )

  87. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  88. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from HasOutputCol

Inherited from HasInputCols

Inherited from HasInputCol

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members