class MultiColumnAdapter extends Estimator[PipelineModel] with Wrappable with ComplexParamsWritable with SynapseMLLogging

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
SynapseMLLogging, ComplexParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Estimator[PipelineModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. MultiColumnAdapter
  2. SynapseMLLogging
  3. ComplexParamsWritable
  4. MLWritable
  5. Wrappable
  6. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. Estimator
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MultiColumnAdapter()
  2. new MultiColumnAdapter(uid: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. val baseStage: PipelineStageParam

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

  7. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  8. final def clear(param: Param[_]): MultiColumnAdapter.this.type
    Definition Classes
    Params
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. def copy(extra: ParamMap): MultiColumnAdapter.this.type
    Definition Classes
    MultiColumnAdapter → Estimator → PipelineStage → Params
  12. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  13. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  14. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  15. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  16. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  17. lazy val dotnetClassName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  18. lazy val dotnetClassNameString: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  19. lazy val dotnetClassWrapperName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  20. lazy val dotnetCopyrightLines: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  21. def dotnetExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  22. def dotnetExtraMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  23. lazy val dotnetInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  24. def dotnetMLReadWriteMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  25. lazy val dotnetNamespace: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  26. lazy val dotnetObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  27. def dotnetParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  28. def dotnetParamGetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  29. def dotnetParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  30. def dotnetParamSetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  31. def dotnetWrapAsTypeMethod: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  32. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  33. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  34. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  35. def explainParams(): String
    Definition Classes
    Params
  36. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  37. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  38. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  39. def fit(dataset: Dataset[_]): PipelineModel

    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
  40. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[PipelineModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  41. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  42. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  43. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  44. final def getBaseStage: PipelineStage

  45. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  46. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  47. final def getInputCols: Array[String]

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

    returns

    List of input/output column name pairs.

  49. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  50. final def getOutputCols: Array[String]

  51. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  52. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  53. def getStages: Array[PipelineStage]
  54. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  55. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  56. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  57. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  58. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. val inputCols: StringArrayParam

    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.

  60. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  61. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  62. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  63. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  65. def logBase(info: SynapseMLLogInfo): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  66. def logBase(methodName: String, columns: Option[Int]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  67. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  68. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  73. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  74. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  77. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  80. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  81. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  82. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  83. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  85. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  86. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  87. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  88. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  89. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  90. val outputCols: StringArrayParam

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

  91. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  92. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  93. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  95. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  96. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  97. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  98. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  99. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  100. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  101. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  102. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  103. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  104. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  105. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  106. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  107. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  108. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  109. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  110. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  111. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  112. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  113. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  114. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  115. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  116. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  117. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  118. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  119. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  120. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  121. final def set(paramPair: ParamPair[_]): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  122. final def set(param: String, value: Any): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  123. final def set[T](param: Param[T], value: T): MultiColumnAdapter.this.type
    Definition Classes
    Params
  124. def setBaseStage(value: PipelineStage): MultiColumnAdapter.this.type

  125. final def setDefault(paramPairs: ParamPair[_]*): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  126. final def setDefault[T](param: Param[T], value: T): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  127. def setInputCols(value: Array[String]): MultiColumnAdapter.this.type

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

  129. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  130. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  131. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  132. def transformSchema(schema: StructType): StructType
    Definition Classes
    MultiColumnAdapter → PipelineStage
  133. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  134. val uid: String
    Definition Classes
    MultiColumnAdapter → SynapseMLLogging → Identifiable
  135. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  136. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  137. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  138. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from DotnetWrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

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