Packages

class IndexToValue extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable with SynapseMLLogging

This class takes in a categorical column with MML style attributes and then transforms it back to the original values. This extends sparkML IndexToString by allowing the transformation back to any types of values.

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

Instance Constructors

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

Value Members

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

    Definition Classes
    HasInputCol
  10. def getLevelUDF[T](dataset: Dataset[_])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T], ct: ClassTag[T]): UserDefinedFunction
  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 inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  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 makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  25. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  26. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

    Definition Classes
    HasInputCol
  33. def setOutputCol(value: String): IndexToValue.this.type

    Definition Classes
    HasOutputCol
  34. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  35. def transform(dataset: Dataset[_]): DataFrame

    dataset

    - The input dataset, to be transformed

    returns

    The DataFrame that results from column selection

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