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, RWrappable, PythonWrappable, BaseWrappable, Estimator[PipelineModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. MultiColumnAdapter
  2. SynapseMLLogging
  3. ComplexParamsWritable
  4. MLWritable
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. Estimator
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
  1. Hide All
  2. Show All
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. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  18. def explainParams(): String
    Definition Classes
    Params
  19. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  20. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  21. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. 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
  23. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[PipelineModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  24. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  25. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  26. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  27. final def getBaseStage: PipelineStage

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

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

    returns

    List of input/output column name pairs.

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

  34. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  35. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  36. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  37. def getStages: Array[PipelineStage]
  38. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  39. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  40. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  41. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  42. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. 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.

  44. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  45. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  46. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  47. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  48. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  49. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  50. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  51. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  52. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  57. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  58. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  61. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  64. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  65. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  68. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  69. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  70. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  71. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  72. val outputCols: StringArrayParam

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

  73. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  74. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  75. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  76. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  77. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  81. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  94. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  97. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  98. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  99. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  100. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  101. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  102. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  103. final def set(paramPair: ParamPair[_]): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  104. final def set(param: String, value: Any): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  105. final def set[T](param: Param[T], value: T): MultiColumnAdapter.this.type
    Definition Classes
    Params
  106. def setBaseStage(value: PipelineStage): MultiColumnAdapter.this.type

  107. final def setDefault(paramPairs: ParamPair[_]*): MultiColumnAdapter.this.type
    Attributes
    protected
    Definition Classes
    Params
  108. final def setDefault[T](param: Param[T], value: T): MultiColumnAdapter.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  109. def setInputCols(value: Array[String]): MultiColumnAdapter.this.type

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

  111. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  112. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  113. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  114. def transformSchema(schema: StructType): StructType
    Definition Classes
    MultiColumnAdapter → PipelineStage
  115. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  116. val uid: String
    Definition Classes
    MultiColumnAdapter → SynapseMLLogging → Identifiable
  117. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  118. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  119. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  120. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

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