Class/Object

com.microsoft.ml.spark.featurize

CleanMissingData

Related Docs: object CleanMissingData | package featurize

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class CleanMissingData extends Estimator[CleanMissingDataModel] with HasInputCols with HasOutputCols with Wrappable with DefaultParamsWritable

Removes missing values from input dataset. The following modes are supported: Mean - replaces missings with mean of fit column Median - replaces missings with approximate median of fit column Custom - replaces missings with custom value specified by user For mean and median modes, only numeric column types are supported, specifically: Int, Long, Float, Double For custom mode, the types above are supported and additionally: String, Boolean

Linear Supertypes
DefaultParamsWritable, MLWritable, HasOutputCols, HasInputCols, Wrappable, Estimator[CleanMissingDataModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CleanMissingData
  2. DefaultParamsWritable
  3. MLWritable
  4. HasOutputCols
  5. HasInputCols
  6. Wrappable
  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
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Instance Constructors

  1. new CleanMissingData()

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  2. new CleanMissingData(uid: String)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  5. def additionalPythonMethods(): String

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    Definition Classes
    Wrappable

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val cleaningMode: Param[String]

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

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    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): Estimator[CleanMissingDataModel]

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    Definition Classes
    CleanMissingData → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  12. val customValue: Param[String]

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    Custom value for imputation, supports numeric, string and boolean types.

    Custom value for imputation, supports numeric, string and boolean types. Date and Timestamp currently not supported.

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  17. def explainParams(): String

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    Definition Classes
    Params

  18. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  20. def finalize(): Unit

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

  21. def fit(dataset: Dataset[_]): CleanMissingDataModel

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    Fits the dataset, prepares the transformation function.

    Fits the dataset, prepares the transformation function.

    dataset

    The input dataset.

    returns

    The model for removing missings.

    Definition Classes
    CleanMissingData → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], paramMap: ParamMap): CleanMissingDataModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  27. def getCleaningMode: String

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  28. def getCustomValue: String

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

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    Definition Classes
    Params

  30. def getInputCols: Array[String]

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    Definition Classes
    HasInputCols

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

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    Definition Classes
    Params

  32. def getOutputCols: Array[String]

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    Definition Classes
    HasOutputCols

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  36. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  37. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  39. val inputCols: StringArrayParam

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    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols

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

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    Definition Classes
    Params

  41. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  43. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  44. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
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    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

  51. def logName: String

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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  57. final def notify(): Unit

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    Definition Classes
    AnyRef

  58. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  59. val outputCols: StringArrayParam

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    The names of the output columns

    The names of the output columns

    Definition Classes
    HasOutputCols

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

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    Definition Classes
    Params

  61. def save(path: String): Unit

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

  62. final def set(paramPair: ParamPair[_]): CleanMissingData.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  65. def setCleaningMode(value: String): CleanMissingData.this.type

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  66. def setCustomValue(value: String): CleanMissingData.this.type

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  67. final def setDefault(paramPairs: ParamPair[_]*): CleanMissingData.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  69. def setInputCols(value: Array[String]): CleanMissingData.this.type

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    Definition Classes
    HasInputCols

  70. def setOutputCols(value: Array[String]): CleanMissingData.this.type

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    Definition Classes
    HasOutputCols

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

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    Definition Classes
    AnyRef

  72. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  73. def transformSchema(schema: StructType): StructType

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    Definition Classes
    CleanMissingData → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  75. val uid: String

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    Definition Classes
    CleanMissingData → Identifiable

  76. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  79. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputCols

Inherited from HasInputCols

Inherited from Wrappable

Inherited from Estimator[CleanMissingDataModel]

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