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 BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. def applyUDF(col: Column): Column

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

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  20. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  21. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  23. def clone(): AnyRef

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

  24. def copy(extra: ParamMap): UDFTransformer

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    Definition Classes
    UDFTransformer → Transformer → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  28. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  30. def explainParams(): String

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    Definition Classes
    Params

  31. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  33. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
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  36. def getDataType: DataType

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

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    Definition Classes
    Params

  38. def getInputCol: String

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    Definition Classes
    HasInputCol

  39. def getInputCols: Array[String]

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    Definition Classes
    HasInputCols

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

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    Definition Classes
    Params

  41. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  43. def getUDF: UserDefinedFunction

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  44. def getUDPyF: UserDefinedPythonFunction

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

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    Definition Classes
    Params

  46. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  47. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  49. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  50. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

  51. val inputCols: StringArrayParam

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    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols

  52. val invalidColumnSetError: String

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

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    Definition Classes
    Params

  54. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Definition Classes
    Params

  56. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  57. def log: Logger

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    Attributes
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    Logging

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

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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

  64. def logName: String

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    protected
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    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  70. final def notify(): Unit

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    Definition Classes
    AnyRef

  71. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  72. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

  73. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  75. def save(path: String): Unit

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

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

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    Attributes
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

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

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    protected
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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    UDFTransformer → HasInputCol

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

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    Definition Classes
    UDFTransformer → HasInputCols

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

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    Definition Classes
    HasOutputCol

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

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

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

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    Definition Classes
    AnyRef

  87. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  88. 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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  91. def transformSchema(schema: StructType): StructType

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    Definition Classes
    UDFTransformer → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

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

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  94. val udfPython: UDPyFParam

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  95. val udfPythonKey: String

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  96. val udfScala: UDFParam

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  97. val udfScalaKey: String

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  98. val uid: String

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    Definition Classes
    UDFTransformer → Identifiable

  99. def validateAndTransformSchema(schema: StructType): StructType

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  100. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  103. 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