class VectorZipper extends Transformer with HasInputCols with HasOutputCol with Wrappable with ComplexParamsWritable with SynapseMLLogging

Combine one or more input columns into a sequence in the output column.

Linear Supertypes
SynapseMLLogging, ComplexParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCols, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. VectorZipper
  2. SynapseMLLogging
  3. ComplexParamsWritable
  4. MLWritable
  5. Wrappable
  6. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. HasOutputCol
  11. HasInputCols
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): VectorZipper.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): VectorZipper
    Definition Classes
    VectorZipper → Transformer → PipelineStage → Params
  3. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  4. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  5. def explainParams(): String
    Definition Classes
    Params
  6. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  7. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  8. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getInputCols: Array[String]

    Definition Classes
    HasInputCols
  11. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  12. def getOutputCol: String

    Definition Classes
    HasOutputCol
  13. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  14. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  15. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  16. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  17. val inputCols: StringArrayParam

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols
  18. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  19. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  20. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  21. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  22. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  23. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  24. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  25. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  26. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  27. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  28. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  29. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  30. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  31. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  32. final def set[T](param: Param[T], value: T): VectorZipper.this.type
    Definition Classes
    Params
  33. def setInputCols(value: Array[String]): VectorZipper.this.type

    Definition Classes
    HasInputCols
  34. def setOutputCol(value: String): VectorZipper.this.type

    Definition Classes
    HasOutputCol
  35. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  36. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    VectorZipper → Transformer
  37. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  38. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  39. def transformSchema(schema: StructType): StructType
    Definition Classes
    VectorZipper → PipelineStage
  40. val uid: String
    Definition Classes
    VectorZipper → SynapseMLLogging → Identifiable
  41. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable