Class/Object

com.microsoft.ml.spark

MultiColumnAdapter

Related Docs: object MultiColumnAdapter | package spark

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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, org.apache.spark.internal.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 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. val baseStage: PipelineStageParam

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

  20. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  22. def clone(): AnyRef

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

  23. def copy(extra: ParamMap): MultiColumnAdapter.this.type

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    Definition Classes
    MultiColumnAdapter → Estimator → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  27. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  29. def explainParams(): String

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    Definition Classes
    Params

  30. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  32. def finalize(): Unit

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

  33. 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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  38. final def getBaseStage: PipelineStage

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  41. final def getInputCols: Array[String]

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

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    returns

    List of input/output column name pairs.

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

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    Definition Classes
    Params

  44. final def getOutputCols: Array[String]

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

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    Definition Classes
    Params

  46. def getStages: Array[PipelineStage]

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

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    Definition Classes
    Params

  48. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  49. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  51. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  52. 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.

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

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    Definition Classes
    Params

  54. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  56. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  57. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

  64. def logName: String

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  70. final def notify(): Unit

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    Definition Classes
    AnyRef

  71. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  72. val outputCols: StringArrayParam

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

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

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  75. def save(path: String): Unit

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

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

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

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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

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

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    Definition Classes
    AnyRef

  85. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  86. def transformSchema(schema: StructType): StructType

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    Definition Classes
    MultiColumnAdapter → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  88. val uid: String

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    Definition Classes
    MultiColumnAdapter → Identifiable

  89. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  92. 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 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