org.apache.spark.ml.odkl

PipelinedFoldedFeatureSelector

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])

  2. new PipelinedFoldedFeatureSelector(nested: SummarizableEstimator[SelectingModel], uid: String)

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. val avg: String

    Definition Classes
    HasFeaturesSignificance

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

    Definition Classes
    Params

  10. def clone(): AnyRef

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

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

    Definition Classes
    FoldedFeatureSelector → SummarizableEstimator → Estimator → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    Params

  13. def createModel(): PipelinedFeatureSelector

    Attributes
    protected
    Definition Classes
    PipelinedFoldedFeatureSelector → FoldedFeatureSelector

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  18. def explainParams(): String

    Definition Classes
    Params

  19. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  21. val feature_index: String

    Definition Classes
    HasFeaturesSignificance

  22. val feature_name: String

    Definition Classes
    HasFeaturesSignificance

  23. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol

  24. def featuresSignificance: Block

    Definition Classes
    HasFeaturesSignificance

  25. def finalize(): Unit

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

  26. def fit(dataset: DataFrame): PipelinedFeatureSelector

    Transforms the input dataset.

    Transforms the input dataset.

    Definition Classes
    FoldedFeatureSelector → Estimator

  27. def fit(dataset: DataFrame, paramMaps: Array[ParamMap]): Seq[PipelinedFeatureSelector]

    Definition Classes
    Estimator

  28. def fit(dataset: DataFrame, paramMap: ParamMap): PipelinedFeatureSelector

    Definition Classes
    Estimator

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

    Definition Classes
    Estimator
    Annotations
    @varargs()

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  33. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

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

    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  37. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  38. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  39. val index: String

    Definition Classes
    HasWeights

  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. def minSignificance: DoubleParam

    Definition Classes
    FoldedFeatureSelector

  57. val n: String

    Definition Classes
    HasFeaturesSignificance

  58. val name: String

    Definition Classes
    HasWeights

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

    Definition Classes
    AnyRef

  60. final def notify(): Unit

    Definition Classes
    AnyRef

  61. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    FoldedFeatureSelector

  69. val significance: String

    Definition Classes
    HasFeaturesSignificance

  70. val std: String

    Definition Classes
    HasFeaturesSignificance

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

    Definition Classes
    AnyRef

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

    Definition Classes
    FoldedFeatureSelector

  73. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  74. def transformSchema(schema: StructType): StructType

    Definition Classes
    FoldedFeatureSelector → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  76. val uid: String

    Definition Classes
    PipelinedFoldedFeatureSelector → FoldedFeatureSelector → Identifiable

  77. def validateParams(): Unit

    Definition Classes
    Params

  78. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  81. val weight: String

    Definition Classes
    HasWeights

  82. val weights: Block

    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