org.apache.spark.ml.mleap.feature

Imputer

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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  1. Public
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Instance Constructors

  1. new Imputer()

    Annotations
    @Since( "2.1.0" )

  2. new Imputer(uid: String)

    Annotations
    @Since( "2.1.0" )

Value Members

  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[_]): Imputer.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): Imputer

    Definition Classes
    Imputer → Estimator → 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. def fit(dataset: Dataset[_]): ImputerModel

    Definition Classes
    Imputer → Estimator

  21. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[ImputerModel]

    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], paramMap: ParamMap): ImputerModel

    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ImputerModel

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

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  27. def getImputeValue: Double

    Annotations
    @Since( "2.1.0" )

  28. final def getInputCol: String

    Definition Classes
    HasInputCol

  29. def getMissingValue: Double

    Definition Classes
    ImputerParams

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

    Definition Classes
    Params

  31. final def getOutputCol: String

    Definition Classes
    HasOutputCol

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

    Definition Classes
    Params

  33. def getStrategy: String

    Definition Classes
    ImputerParams

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

    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  36. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  37. val imputeValue: DoubleParam

    Annotations
    @Since( "2.1.0" )

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging

  39. final val inputCol: Param[String]

    Definition Classes
    HasInputCol

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

    Definition Classes
    Params

  41. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  43. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  44. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  51. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  56. 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

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

    Definition Classes
    AnyRef

  58. final def notify(): Unit

    Definition Classes
    AnyRef

  59. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  60. final val outputCol: Param[String]

    Definition Classes
    HasOutputCol

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

    Definition Classes
    Params

  62. def save(path: String): Unit

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

  63. final def set(paramPair: ParamPair[_]): Imputer.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Annotations
    @Since( "2.1.0" )

  69. def setMissingValue(value: Double): Imputer.this.type

    Annotations
    @Since( "2.1.0" )

  70. def setOutputCol(value: String): Imputer.this.type

    Annotations
    @Since( "2.1.0" )

  71. def setStrategy(value: String): Imputer.this.type

    Imputation strategy.

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

    Annotations
    @Since( "2.1.0" )

  72. 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

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

    Definition Classes
    AnyRef

  74. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  75. def transformSchema(schema: StructType): StructType

    Definition Classes
    Imputer → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  77. val uid: String

    Definition Classes
    Imputer → Identifiable

  78. def validateAndTransformSchema(schema: StructType): StructType

    Validates and transforms the input schema.

    Validates and transforms the input schema.

    Attributes
    protected
    Definition Classes
    ImputerParams

  79. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  82. def write: MLWriter

    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

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