Packages

class ValueIndexerModel extends Model[ValueIndexerModel] with ValueIndexerParams with ComplexParamsWritable with SynapseMLLogging

Model produced by ValueIndexer.

Linear Supertypes
SynapseMLLogging, ComplexParamsWritable, ValueIndexerParams, HasOutputCol, HasInputCol, DefaultParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Model[ValueIndexerModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ValueIndexerModel
  2. SynapseMLLogging
  3. ComplexParamsWritable
  4. ValueIndexerParams
  5. HasOutputCol
  6. HasInputCol
  7. DefaultParamsWritable
  8. MLWritable
  9. Wrappable
  10. DotnetWrappable
  11. RWrappable
  12. PythonWrappable
  13. BaseWrappable
  14. Model
  15. Transformer
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): ValueIndexerModel.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): ValueIndexerModel
    Definition Classes
    ValueIndexerModel → Model → Transformer → PipelineStage → Params
  3. val dataType: Param[String]

    The datatype of the levels as a jason string

  4. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  5. val emptyLevels: Array[Any]
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getDataType: DataType

  12. def getDataTypeStr: String

  13. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getInputCol: String

    Definition Classes
    HasInputCol
  15. def getLevels: Array[Any]

  16. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  17. def getOutputCol: String

    Definition Classes
    HasOutputCol
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  20. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  21. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  22. def hasParent: Boolean
    Definition Classes
    Model
  23. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  24. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  25. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  26. val levels: UntypedArrayParam

    Levels in categorical array

  27. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  28. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  29. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  30. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  31. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  32. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  33. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  34. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  35. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  36. var parent: Estimator[ValueIndexerModel]
    Definition Classes
    Model
  37. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  38. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  39. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  40. final def set[T](param: Param[T], value: T): ValueIndexerModel.this.type
    Definition Classes
    Params
  41. def setDataType(value: DataType): ValueIndexerModel.this.type

  42. def setDataTypeStr(value: String): ValueIndexerModel.this.type

  43. def setInputCol(value: String): ValueIndexerModel.this.type

    Definition Classes
    HasInputCol
  44. def setLevels(value: ArrayList[Any]): ValueIndexerModel.this.type

  45. def setLevels(value: Array[_]): ValueIndexerModel.this.type

  46. def setOutputCol(value: String): ValueIndexerModel.this.type

    Definition Classes
    HasOutputCol
  47. def setParent(parent: Estimator[ValueIndexerModel]): ValueIndexerModel
    Definition Classes
    Model
  48. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  49. def transform(dataset: Dataset[_]): DataFrame

    Transform the input column to categorical

    Transform the input column to categorical

    Definition Classes
    ValueIndexerModel → Transformer
  50. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  51. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  52. def transformSchema(schema: StructType): StructType
    Definition Classes
    ValueIndexerModel → PipelineStage
    Annotations
    @DeveloperApi()
  53. val uid: String
    Definition Classes
    ValueIndexerModel → SynapseMLLogging → Identifiable
  54. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable