org.apache.spark.ml.mleap.feature

ImputerModel

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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  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def $[T](param: Param[T]): T

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  6. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. final def clear(param: Param[_]): ImputerModel.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  10. def copy(extra: ParamMap): ImputerModel

    Definition Classes
    ImputerModel → Model → Transformer → PipelineStage → Params

  11. def copyValues[T <: Params](to: T, extra: ParamMap): T

    Attributes
    protected
    Definition Classes
    Params

  12. final def defaultCopy[T <: Params](extra: ParamMap): T

    Attributes
    protected
    Definition Classes
    Params

  13. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  15. def explainParam(param: Param[_]): String

    Definition Classes
    Params

  16. def explainParams(): String

    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

    Definition Classes
    Params

  18. final def extractParamMap(extra: ParamMap): ParamMap

    Definition Classes
    Params

  19. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  20. final def get[T](param: Param[T]): Option[T]

    Definition Classes
    Params

  21. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  22. final def getDefault[T](param: Param[T]): Option[T]

    Definition Classes
    Params

  23. final def getInputCol: String

    Definition Classes
    HasInputCol

  24. def getMissingValue: Double

    Definition Classes
    ImputerParams

  25. final def getOrDefault[T](param: Param[T]): T

    Definition Classes
    Params

  26. final def getOutputCol: String

    Definition Classes
    HasOutputCol

  27. def getParam(paramName: String): Param[Any]

    Definition Classes
    Params

  28. def getStrategy: String

    Definition Classes
    ImputerParams

  29. final def hasDefault[T](param: Param[T]): Boolean

    Definition Classes
    Params

  30. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  31. def hasParent: Boolean

    Definition Classes
    Model

  32. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging

  34. final val inputCol: Param[String]

    Definition Classes
    HasInputCol

  35. final def isDefined(param: Param[_]): Boolean

    Definition Classes
    Params

  36. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  37. final def isSet(param: Param[_]): Boolean

    Definition Classes
    Params

  38. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  39. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

  40. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  41. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  42. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  43. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  44. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  45. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

  47. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  48. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  49. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  50. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  51. 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

  52. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  53. final def notify(): Unit

    Definition Classes
    AnyRef

  54. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  55. final val outputCol: Param[String]

    Definition Classes
    HasOutputCol

  56. lazy val params: Array[Param[_]]

    Definition Classes
    Params

  57. var parent: Estimator[ImputerModel]

    Definition Classes
    Model

  58. def save(path: String): Unit

    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  59. final def set(paramPair: ParamPair[_]): ImputerModel.this.type

    Attributes
    protected
    Definition Classes
    Params

  60. final def set(param: String, value: Any): ImputerModel.this.type

    Attributes
    protected
    Definition Classes
    Params

  61. final def set[T](param: Param[T], value: T): ImputerModel.this.type

    Definition Classes
    Params

  62. final def setDefault(paramPairs: ParamPair[_]*): ImputerModel.this.type

    Attributes
    protected
    Definition Classes
    Params

  63. final def setDefault[T](param: Param[T], value: T): ImputerModel.this.type

    Attributes
    protected
    Definition Classes
    Params

  64. def setInputCol(value: String): ImputerModel.this.type

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

    Annotations
    @Since( "2.1.0" )

  66. def setOutputCol(value: String): ImputerModel.this.type

  67. def setParent(parent: Estimator[ImputerModel]): ImputerModel

    Definition Classes
    Model

  68. def setStrategy(value: String): ImputerModel.this.type

    Annotations
    @Since( "2.1.0" )

  69. 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

  70. val surrogateValue: Double

    value to replace missing values with

  71. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  72. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  73. def transform(dataset: Dataset[_]): DataFrame

    Definition Classes
    ImputerModel → Transformer

  74. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  75. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  76. def transformSchema(schema: StructType): StructType

    Definition Classes
    ImputerModel → PipelineStage

  77. def transformSchema(schema: StructType, logging: Boolean): StructType

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  78. val uid: String

    Definition Classes
    ImputerModel → Identifiable

  79. def validateAndTransformSchema(schema: StructType): StructType

    Validates and transforms the input schema.

    Validates and transforms the input schema.

    Attributes
    protected
    Definition Classes
    ImputerParams

  80. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  81. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  82. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  83. def write: MLWriter

    Definition Classes
    ImputerModel → MLWritable
    Annotations
    @Since( "2.1.0" )

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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