Class/Object

org.apache.spark.ml.mleap.feature

Imputer

Related Docs: object Imputer | package feature

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class Imputer extends Estimator[ImputerModel] with ImputerParams with DefaultParamsWritable

:: Experimental :: Imputation estimator for completing missing values, either using the mean or the median of the column in which the missing values are located. The input column should be of DoubleType or FloatType. Currently Imputer does not support categorical features yet (SPARK-15041) and possibly creates incorrect values for a categorical feature.

Note that the mean/median value is computed after filtering out missing values. All Null values in the input column are treated as missing, and so are also imputed.

Annotations
@Experimental()
Linear Supertypes
DefaultParamsWritable, MLWritable, ImputerParams, HasOutputCol, HasInputCol, Estimator[ImputerModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. Imputer
  2. DefaultParamsWritable
  3. MLWritable
  4. ImputerParams
  5. HasOutputCol
  6. HasInputCol
  7. Estimator
  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

Instance Constructors

  1. new Imputer()

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    Annotations
    @Since( "2.1.0" )
  2. new Imputer(uid: String)

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    Annotations
    @Since( "2.1.0" )

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    protected
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    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0

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    Any
  6. final def clear(param: Param[_]): Imputer.this.type

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    Definition Classes
    Params
  7. def clone(): AnyRef

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def copy(extra: ParamMap): Imputer

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    Definition Classes
    Imputer → Estimator → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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    AnyRef
  12. def equals(arg0: Any): Boolean

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    AnyRef → Any
  13. def explainParam(param: Param[_]): String

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    Params
  14. def explainParams(): String

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    Params
  15. final def extractParamMap(): ParamMap

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    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Params
  17. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  18. def fit(dataset: Dataset[_]): ImputerModel

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    Definition Classes
    Imputer → Estimator
  19. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[ImputerModel]

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    Definition Classes
    Estimator
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    @Since( "2.0.0" )
  20. def fit(dataset: Dataset[_], paramMap: ParamMap): ImputerModel

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    Definition Classes
    Estimator
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    @Since( "2.0.0" )
  21. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ImputerModel

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    Definition Classes
    Estimator
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    @Since( "2.0.0" ) @varargs()
  22. final def get[T](param: Param[T]): Option[T]

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    Params
  23. final def getClass(): Class[_]

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    AnyRef → Any
  24. final def getDefault[T](param: Param[T]): Option[T]

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    Params
  25. def getImputeValue: Double

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    @Since( "2.1.0" )
  26. final def getInputCol: String

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    Definition Classes
    HasInputCol
  27. def getMissingValue: Double

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    Definition Classes
    ImputerParams
  28. final def getOrDefault[T](param: Param[T]): T

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    Params
  29. final def getOutputCol: String

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

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    Params
  31. def getStrategy: String

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    Definition Classes
    ImputerParams
  32. final def hasDefault[T](param: Param[T]): Boolean

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    Params
  33. def hasParam(paramName: String): Boolean

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  34. def hashCode(): Int

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  35. val imputeValue: DoubleParam

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    @Since( "2.1.0" )
  36. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Logging
  37. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging
  38. final val inputCol: Param[String]

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    Definition Classes
    HasInputCol
  39. final def isDefined(param: Param[_]): Boolean

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    Params
  40. final def isInstanceOf[T0]: Boolean

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

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  42. def isTraceEnabled(): Boolean

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    Logging
  43. def log: Logger

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

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    Logging
  45. def logDebug(msg: ⇒ String): Unit

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

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    Logging
  47. def logError(msg: ⇒ String): Unit

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

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

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  50. def logName: String

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

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

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

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

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    Logging
  55. val missingValue: DoubleParam

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

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    AnyRef
  57. final def notify(): Unit

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    AnyRef
  58. final def notifyAll(): Unit

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    AnyRef
  59. final val outputCol: Param[String]

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    HasOutputCol
  60. lazy val params: Array[Param[_]]

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    Params
  61. def save(path: String): Unit

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    Definition Classes
    MLWritable
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    @Since( "1.6.0" ) @throws( ... )
  62. final def set(paramPair: ParamPair[_]): Imputer.this.type

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  63. final def set(param: String, value: Any): Imputer.this.type

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

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  65. final def setDefault(paramPairs: ParamPair[_]*): Imputer.this.type

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

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  67. def setInputCol(value: String): Imputer.this.type

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    @Since( "2.1.0" )
  68. def setMissingValue(value: Double): Imputer.this.type

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    @Since( "2.1.0" )
  69. def setOutputCol(value: String): Imputer.this.type

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    @Since( "2.1.0" )
  70. def setStrategy(value: String): Imputer.this.type

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    Imputation strategy.

    Imputation strategy. Available options are ["mean", "median"].

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

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

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    AnyRef
  73. def toString(): String

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    Identifiable → AnyRef → Any
  74. def transformSchema(schema: StructType): StructType

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    Imputer → PipelineStage
  75. def transformSchema(schema: StructType, logging: Boolean): StructType

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    @DeveloperApi()
  76. val uid: String

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    Imputer → Identifiable
  77. def validateAndTransformSchema(schema: StructType): StructType

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    Validates and transforms the input schema.

    Validates and transforms the input schema.

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    ImputerParams
  78. final def wait(): Unit

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    @throws( ... )
  79. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  80. final def wait(arg0: Long): Unit

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    @throws( ... )
  81. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from ImputerParams

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Estimator[ImputerModel]

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

Ungrouped