Packages

class ImputerModel extends Model[ImputerModel] with ImputerParams with MLWritable

:: Experimental :: Model fitted by Imputer.

Annotations
@Experimental()
Linear Supertypes
MLWritable, ImputerParams, HasOutputCol, HasInputCol, Model[ImputerModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ImputerModel
  2. MLWritable
  3. ImputerParams
  4. HasOutputCol
  5. HasInputCol
  6. Model
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): ImputerModel.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  8. def copy(extra: ParamMap): ImputerModel
    Definition Classes
    ImputerModel → Model → Transformer → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  14. def explainParams(): String
    Definition Classes
    Params
  15. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  17. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  18. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  20. final def getInputCol: String
    Definition Classes
    HasInputCol
  21. def getMissingValue: Double

    Definition Classes
    ImputerParams
  22. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  23. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  24. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  25. def getStrategy: String

    Definition Classes
    ImputerParams
  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. def hasParent: Boolean
    Definition Classes
    Model
  29. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  30. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  31. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. final val inputCol: Param[String]
    Definition Classes
    HasInputCol
  33. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  34. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  35. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  36. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  37. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  38. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. val missingValue: DoubleParam

    The placeholder for the missing values.

    The placeholder for the missing values. All occurrences of missingValue will be imputed. Note that null values are always treated as missing. Default: Double.NaN

    Definition Classes
    ImputerParams
  50. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  51. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  52. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  53. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  54. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  55. var parent: Estimator[ImputerModel]
    Definition Classes
    Model
  56. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  57. final def set(paramPair: ParamPair[_]): ImputerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  58. final def set(param: String, value: Any): ImputerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  59. final def set[T](param: Param[T], value: T): ImputerModel.this.type
    Definition Classes
    Params
  60. final def setDefault(paramPairs: ParamPair[_]*): ImputerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  61. final def setDefault[T](param: Param[T], value: T): ImputerModel.this.type
    Attributes
    protected[ml]
    Definition Classes
    Params
  62. def setInputCol(value: String): ImputerModel.this.type

  63. def setMissingValue(value: Double): ImputerModel.this.type

    Annotations
    @Since( "2.1.0" )
  64. def setOutputCol(value: String): ImputerModel.this.type

  65. def setParent(parent: Estimator[ImputerModel]): ImputerModel
    Definition Classes
    Model
  66. def setStrategy(value: String): ImputerModel.this.type

    Annotations
    @Since( "2.1.0" )
  67. val strategy: Param[String]

    The imputation strategy.

    The imputation strategy. If "mean", then replace missing values using the mean value of the feature. If "median", then replace missing values using the approximate median value of the feature. Default: mean

    Definition Classes
    ImputerParams
  68. val surrogateValue: Double
  69. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  70. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  71. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    ImputerModel → Transformer
  72. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  73. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  74. def transformSchema(schema: StructType): StructType
    Definition Classes
    ImputerModel → PipelineStage
  75. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  76. val uid: String
    Definition Classes
    ImputerModel → Identifiable
  77. def validateAndTransformSchema(schema: StructType): StructType

    Validates and transforms the input schema.

    Validates and transforms the input schema.

    Attributes
    protected
    Definition Classes
    ImputerParams
  78. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  79. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  80. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  81. def write: MLWriter
    Definition Classes
    ImputerModel → MLWritable
    Annotations
    @Since( "2.1.0" )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from MLWritable

Inherited from ImputerParams

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Model[ImputerModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

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