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, 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. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. ComplexParamsWritable
  10. MLWritable
  11. Model
  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 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 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. val fillValues: UntypedArrayParam
  9. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getColsToFill: Array[String]
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getFillValues: Array[Any]
  13. def getInputCols: Array[String]

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

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

    The names of the inputColumns

    The names of the inputColumns

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

    The names of the output columns

    The names of the output columns

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

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

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