Class/Object

com.microsoft.ml.spark

RenameColumn

Related Docs: object RenameColumn | package spark

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class RenameColumn extends Transformer with MMLParams with HasInputCol with HasOutputCol

RenameColumn takes a dataframe with an input and an output column name and returns a dataframe comprised of the original columns with the input column renamed as the output column name.

Linear Supertypes
HasOutputCol, HasInputCol, MMLParams, DefaultParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RenameColumn
  2. HasOutputCol
  3. HasInputCol
  4. MMLParams
  5. DefaultParamsWritable
  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
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Instance Constructors

  1. new RenameColumn()

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  2. new RenameColumn(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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

  20. final def clear(param: Param[_]): RenameColumn.this.type

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    Definition Classes
    Params

  21. def clone(): AnyRef

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

  22. def copy(extra: ParamMap): RenameColumn

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    Definition Classes
    RenameColumn → Transformer → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  26. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  28. def explainParams(): String

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    Definition Classes
    Params

  29. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  31. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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

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    Definition Classes
    Params

  35. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  37. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  40. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  41. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  43. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  44. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  46. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  49. def log: Logger

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    Attributes
    protected
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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  56. def logName: String

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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  62. final def notify(): Unit

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    AnyRef

  63. final def notifyAll(): Unit

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    AnyRef

  64. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  67. def save(path: String): Unit

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

  68. final def set(paramPair: ParamPair[_]): RenameColumn.this.type

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    protected
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    Params

  69. final def set(param: String, value: Any): RenameColumn.this.type

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    protected
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    Params

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

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    Definition Classes
    Params

  71. final def setDefault(paramPairs: ParamPair[_]*): RenameColumn.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

  73. def setInputCol(value: String): RenameColumn.this.type

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    Definition Classes
    HasInputCol

  74. def setOutputCol(value: String): RenameColumn.this.type

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  76. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    dataset

    - The input dataset, to be transformed

    returns

    The DataFrame that results from renaming the input column

    Definition Classes
    RenameColumn → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  80. def transformSchema(schema: StructType): StructType

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    Definition Classes
    RenameColumn → PipelineStage

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  82. val uid: String

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    Definition Classes
    RenameColumn → Identifiable

  83. def validateAndTransformSchema(schema: StructType): StructType

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  84. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  87. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from MMLParams

Inherited from DefaultParamsWritable

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