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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val baseStage: PipelineStageParam

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

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

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    Definition Classes
    MultiColumnAdapter → Estimator → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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

  19. 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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  24. final def getBaseStage: PipelineStage

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  27. final def getInputCols: Array[String]

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

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    returns

    List of input/output column name pairs.

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

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    Definition Classes
    Params

  30. final def getOutputCols: Array[String]

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

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    Definition Classes
    Params

  32. def getStages: Array[PipelineStage]

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

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    Definition Classes
    Params

  34. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  35. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  37. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

  38. 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.

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

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    Definition Classes
    Params

  40. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  42. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  43. def log: Logger

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

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

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    Logging

  50. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Attributes
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    Logging

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

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    Definition Classes
    AnyRef

  56. final def notify(): Unit

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    Definition Classes
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  57. final def notifyAll(): Unit

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    AnyRef

  58. val outputCols: StringArrayParam

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

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

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    Definition Classes
    Params

  60. def save(path: String): Unit

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

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

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

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

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    Definition Classes
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  64. def setBaseStage(value: PipelineStage): MultiColumnAdapter.this.type

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

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

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

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

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  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 transformSchema(schema: StructType): StructType

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    Definition Classes
    MultiColumnAdapter → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  73. val uid: String

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    Definition Classes
    MultiColumnAdapter → Identifiable

  74. final def wait(): Unit

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    Definition Classes
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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

  77. 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