Class/Object

com.microsoft.ml.spark

TextPreprocessor

Related Docs: object TextPreprocessor | package spark

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class TextPreprocessor extends Transformer with HasInputCol with HasOutputCol with Wrappable with ComplexParamsWritable

TextPreprocessor takes a dataframe and a dictionary that maps (text -> replacement text), scans each cell in the input col and replaces all substring matches with the corresponding value. Priority is given to longer keys and from left to right.

Linear Supertypes
ComplexParamsWritable, MLWritable, HasOutputCol, HasInputCol, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TextPreprocessor
  2. ComplexParamsWritable
  3. MLWritable
  4. HasOutputCol
  5. HasInputCol
  6. Wrappable
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TextPreprocessor()

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  2. new TextPreprocessor(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. val IDENTITY: String

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. final def clear(param: Param[_]): TextPreprocessor.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

  9. def copy(extra: ParamMap): TextPreprocessor

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    Definition Classes
    TextPreprocessor → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
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  21. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  22. def getInputCol: String

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    Definition Classes
    HasInputCol

  23. def getMap: Map[String, String]

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  24. def getNormFunc: String

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

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    Definition Classes
    Params

  26. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  29. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  30. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  32. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  33. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  35. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  37. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  38. def isValidNormFunc(normFuncName: String): Boolean

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  39. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  51. val map: MapParam[String, String]

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

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    Definition Classes
    AnyRef

  53. val normFunc: Param[String]

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  54. val normFuncs: Map[String, (Char) ⇒ Char]

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  55. final def notify(): Unit

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    Definition Classes
    AnyRef

  56. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  57. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  59. def save(path: String): Unit

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

  60. final def set(paramPair: ParamPair[_]): TextPreprocessor.this.type

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    protected
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    Params

  61. final def set(param: String, value: Any): TextPreprocessor.this.type

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    protected
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    Params

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

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    Definition Classes
    Params

  63. final def setDefault(paramPairs: ParamPair[_]*): TextPreprocessor.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  65. def setInputCol(value: String): TextPreprocessor.this.type

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    Definition Classes
    HasInputCol

  66. def setMap(value: Map[String, String]): TextPreprocessor.this.type

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  67. def setNormFunc(value: String): TextPreprocessor.this.type

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

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  70. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    dataset

    - The input dataset, to be transformed

    returns

    The DataFrame that results from column selection

    Definition Classes
    TextPreprocessor → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  74. def transformSchema(schema: StructType): StructType

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    Definition Classes
    TextPreprocessor → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  76. val uid: String

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    Definition Classes
    TextPreprocessor → Identifiable

  77. final def wait(): Unit

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  80. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

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