Class

org.apache.spark.ml.odkl

PipelinedFoldedFeatureSelector

Related Doc: package odkl

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class PipelinedFoldedFeatureSelector[SelectingModel <: ModelWithSummary[SelectingModel] with HasWeights] extends FoldedFeatureSelector[SelectingModel, PipelinedFeatureSelector]

Linear Supertypes
FoldedFeatureSelector[SelectingModel, PipelinedFeatureSelector], HasFeaturesSignificance, HasFeaturesCol, HasWeights, SummarizableEstimator[PipelinedFeatureSelector], Estimator[PipelinedFeatureSelector], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. PipelinedFoldedFeatureSelector
  2. FoldedFeatureSelector
  3. HasFeaturesSignificance
  4. HasFeaturesCol
  5. HasWeights
  6. SummarizableEstimator
  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 PipelinedFoldedFeatureSelector(nested: SummarizableEstimator[SelectingModel])

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  2. new PipelinedFoldedFeatureSelector(nested: SummarizableEstimator[SelectingModel], 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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val avg: String

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    Definition Classes
    HasFeaturesSignificance

  7. final def clear(param: Param[_]): PipelinedFoldedFeatureSelector.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

  9. def copy(extra: ParamMap): PipelinedFoldedFeatureSelector.this.type

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    Definition Classes
    FoldedFeatureSelector → SummarizableEstimator → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  11. def createModel(): PipelinedFeatureSelector

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    Attributes
    protected
    Definition Classes
    PipelinedFoldedFeatureSelector → FoldedFeatureSelector

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  19. val feature_index: String

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    Definition Classes
    HasFeaturesSignificance

  20. val feature_name: String

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    Definition Classes
    HasFeaturesSignificance

  21. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  22. def featuresSignificance: Block

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    Definition Classes
    HasFeaturesSignificance

  23. def finalize(): Unit

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

  24. def fit(dataset: Dataset[_]): PipelinedFeatureSelector

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    Transforms the input dataset.

    Transforms the input dataset.

    Definition Classes
    FoldedFeatureSelector → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  26. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelinedFeatureSelector

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  31. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

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

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    Definition Classes
    Params

  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. val index: String

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    Definition Classes
    HasWeights

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  40. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  42. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  43. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  55. def minSignificance: DoubleParam

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    Definition Classes
    FoldedFeatureSelector

  56. val n: String

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    Definition Classes
    HasFeaturesSignificance

  57. val name: String

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    Definition Classes
    HasWeights

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

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    Definition Classes
    AnyRef

  59. final def notify(): Unit

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    Definition Classes
    AnyRef

  60. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  67. def setMinSignificance(value: Double): PipelinedFoldedFeatureSelector.this.type

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    Definition Classes
    FoldedFeatureSelector

  68. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  69. val std: String

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    Definition Classes
    HasFeaturesSignificance

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

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    Definition Classes
    AnyRef

  71. def toStatRecords(significance: DataFrame, model: SelectingModel): WeightsStat

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    Definition Classes
    FoldedFeatureSelector

  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
    FoldedFeatureSelector → PipelineStage

  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
    PipelinedFoldedFeatureSelector → FoldedFeatureSelector → 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
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  79. val weight: String

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    Definition Classes
    HasWeights

  80. val weights: Block

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    Definition Classes
    HasWeights

Inherited from FoldedFeatureSelector[SelectingModel, PipelinedFeatureSelector]

Inherited from HasFeaturesSignificance

Inherited from HasFeaturesCol

Inherited from HasWeights

Inherited from SummarizableEstimator[PipelinedFeatureSelector]

Inherited from Estimator[PipelinedFeatureSelector]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped