Class/Object

com.microsoft.ml.spark

RenameColumn

Related Docs: object RenameColumn | package spark

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class RenameColumn extends Transformer with Wrappable with DefaultParamsWritable 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, 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. DefaultParamsWritable
  5. MLWritable
  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 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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

  8. def copy(extra: ParamMap): RenameColumn

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    Definition Classes
    RenameColumn → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  17. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  21. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  23. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  26. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  27. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  29. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  30. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  32. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  34. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  35. def log: Logger

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
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    Logging

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

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    Attributes
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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  42. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  48. final def notify(): Unit

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    Definition Classes
    AnyRef

  49. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  50. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  52. def save(path: String): Unit

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

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

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    Attributes
    protected
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  54. final def set(param: String, value: Any): RenameColumn.this.type

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

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    Definition Classes
    Params

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

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  61. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  62. 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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  65. def transformSchema(schema: StructType): StructType

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    Definition Classes
    RenameColumn → PipelineStage

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  67. val uid: String

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    Definition Classes
    RenameColumn → Identifiable

  68. def validateAndTransformSchema(schema: StructType): StructType

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  69. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  72. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

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