Class/Object

com.microsoft.ml.spark

CleanMissingData

Related Docs: object CleanMissingData | package spark

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class CleanMissingData extends Estimator[CleanMissingDataModel] with HasInputCols with HasOutputCols with MMLParams

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
MMLParams, DefaultParamsWritable, MLWritable, HasOutputCols, HasInputCols, Wrappable, Estimator[CleanMissingDataModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CleanMissingData
  2. MMLParams
  3. DefaultParamsWritable
  4. MLWritable
  5. HasOutputCols
  6. HasInputCols
  7. Wrappable
  8. Estimator
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. 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 BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

  20. val cleaningMode: Param[String]

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

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    Definition Classes
    Params

  22. def clone(): AnyRef

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

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

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    Definition Classes
    CleanMissingData → Estimator → PipelineStage → Params

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

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    Attributes
    protected
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    Params

  25. 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.

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

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    protected
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  27. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  28. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  30. def explainParams(): String

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    Definition Classes
    Params

  31. final def extractParamMap(): ParamMap

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    Params

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

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    Params

  33. def finalize(): Unit

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

  34. 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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  40. def getCleaningMode: String

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  41. def getCustomValue: String

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

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    Definition Classes
    Params

  43. def getInputCols: Array[String]

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    Definition Classes
    HasInputCols

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

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    Definition Classes
    Params

  45. def getOutputCols: Array[String]

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    Definition Classes
    HasOutputCols

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  48. def hasParam(paramName: String): Boolean

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    Params

  49. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
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    Logging

  51. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
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    Logging

  52. val inputCols: StringArrayParam

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    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols

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

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    Params

  54. final def isInstanceOf[T0]: Boolean

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    Any

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

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  56. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  57. def log: Logger

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    protected
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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    protected
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    Logging

  64. def logName: String

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    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  70. final def notify(): Unit

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    Definition Classes
    AnyRef

  71. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  72. val outputCols: StringArrayParam

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    The names of the output columns

    The names of the output columns

    Definition Classes
    HasOutputCols

  73. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  75. def save(path: String): Unit

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

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

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

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

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    Definition Classes
    Params

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

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

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    HasInputCols

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

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    Definition Classes
    HasOutputCols

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

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    Definition Classes
    AnyRef

  86. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  87. def transformSchema(schema: StructType): StructType

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    Definition Classes
    CleanMissingData → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  89. val uid: String

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    Definition Classes
    CleanMissingData → Identifiable

  90. final def wait(): Unit

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    @throws( ... )

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

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    AnyRef
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    @throws( ... )

  93. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from MMLParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputCols

Inherited from HasInputCols

Inherited from Wrappable

Inherited from Estimator[CleanMissingDataModel]

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members