Packages

class CleanMissingDataModel extends Model[CleanMissingDataModel] with ComplexParamsWritable with Wrappable with HasInputCols with HasOutputCols with SynapseMLLogging

Model produced by CleanMissingData.

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

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): CleanMissingDataModel.this.type
    Definition Classes
    Params
  2. val colsToFill: StringArrayParam
  3. def copy(extra: ParamMap): CleanMissingDataModel
    Definition Classes
    CleanMissingDataModel → Model → Transformer → PipelineStage → Params
  4. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. val fillValues: UntypedArrayParam
  10. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getColsToFill: Array[String]
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. def getFillValues: Array[Any]
  14. def getInputCols: Array[String]

    Definition Classes
    HasInputCols
  15. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  16. def getOutputCols: Array[String]

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

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols
  23. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  24. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  25. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  26. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  27. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  28. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  29. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  30. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  31. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  32. val outputCols: StringArrayParam

    The names of the output columns

    The names of the output columns

    Definition Classes
    HasOutputCols
  33. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  34. var parent: Estimator[CleanMissingDataModel]
    Definition Classes
    Model
  35. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  36. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  37. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  38. final def set[T](param: Param[T], value: T): CleanMissingDataModel.this.type
    Definition Classes
    Params
  39. def setColsToFill(v: Array[String]): CleanMissingDataModel.this.type
  40. def setFillValues(v: ArrayList[Any]): CleanMissingDataModel.this.type
  41. def setFillValues(v: Array[Any]): CleanMissingDataModel.this.type
  42. def setInputCols(value: Array[String]): CleanMissingDataModel.this.type

    Definition Classes
    HasInputCols
  43. def setOutputCols(value: Array[String]): CleanMissingDataModel.this.type

    Definition Classes
    HasOutputCols
  44. def setParent(parent: Estimator[CleanMissingDataModel]): CleanMissingDataModel
    Definition Classes
    Model
  45. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  46. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    CleanMissingDataModel → Transformer
  47. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  48. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  49. def transformSchema(schema: StructType): StructType
    Definition Classes
    CleanMissingDataModel → PipelineStage
  50. val uid: String
    Definition Classes
    CleanMissingDataModel → SynapseMLLogging → Identifiable
  51. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable