Class/Object

com.microsoft.ml.spark.stages

MultiColumnAdapter

Related Docs: object MultiColumnAdapter | package stages

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class MultiColumnAdapter extends Estimator[PipelineModel] with Wrappable with ComplexParamsWritable

The MultiColumnAdapter takes a unary pipeline stage and a list of input output column pairs and applies the pipeline stage to each input column after being fit

Linear Supertypes
ComplexParamsWritable, MLWritable, Wrappable, Estimator[PipelineModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. MultiColumnAdapter
  2. ComplexParamsWritable
  3. MLWritable
  4. Wrappable
  5. Estimator
  6. PipelineStage
  7. Logging
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MultiColumnAdapter()

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  2. new MultiColumnAdapter(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 additionalPythonMethods(): String

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    Definition Classes
    Wrappable

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val baseStage: PipelineStageParam

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    Base pipeline stage to apply to every column in the input column list.

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

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    Definition Classes
    MultiColumnAdapter → Estimator → 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. def fit(dataset: Dataset[_]): PipelineModel

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    Fit the pipeline stage to all the columns in the input column list

    Fit the pipeline stage to all the columns in the input column list

    returns

    PipelineModel fit on the columns bearing the input column names

    Definition Classes
    MultiColumnAdapter → Estimator

  21. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[PipelineModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel

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

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

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    Definition Classes
    Params

  25. final def getBaseStage: PipelineStage

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  28. final def getInputCols: Array[String]

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  29. def getInputOutputPairs: List[(String, String)]

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    returns

    List of input/output column name pairs.

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

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    Definition Classes
    Params

  31. final def getOutputCols: Array[String]

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

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    Definition Classes
    Params

  33. def getStages: Array[PipelineStage]

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

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    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  36. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  39. val inputCols: StringArrayParam

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    List of input column names, encoded as a string.

    List of input column names, encoded as a string. These are the columns for the pipeline stage.

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

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    Definition Classes
    Params

  41. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  43. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  44. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

  51. def logName: String

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    Attributes
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    Logging

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

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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  57. final def notify(): Unit

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    Definition Classes
    AnyRef

  58. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  59. val outputCols: StringArrayParam

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    List of column names for the pipeline staged columns, encoded as a string.

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

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    Definition Classes
    Params

  61. def save(path: String): Unit

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

  62. final def set(paramPair: ParamPair[_]): MultiColumnAdapter.this.type

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    Attributes
    protected
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    Params

  63. final def set(param: String, value: Any): MultiColumnAdapter.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  65. def setBaseStage(value: PipelineStage): MultiColumnAdapter.this.type

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  66. final def setDefault(paramPairs: ParamPair[_]*): MultiColumnAdapter.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

  68. def setInputCols(value: Array[String]): MultiColumnAdapter.this.type

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  69. def setOutputCols(value: Array[String]): MultiColumnAdapter.this.type

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

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    Definition Classes
    AnyRef

  71. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  72. def transformSchema(schema: StructType): StructType

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    Definition Classes
    MultiColumnAdapter → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  74. val uid: String

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    Definition Classes
    MultiColumnAdapter → Identifiable

  75. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

  78. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Estimator[PipelineModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped