Class

com.salesforce.op.filters

FilteredRawData

Related Doc: package filters

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case class FilteredRawData(cleanedData: DataFrame, featuresToDrop: Array[OPFeature], mapKeysToDrop: Map[String, Set[String]], featureDistributions: Seq[FeatureDistribution]) extends Product with Serializable

case class for the RFF filtered data and features to drop

cleanedData

RFF cleaned data

featuresToDrop

raw features dropped by RFF

mapKeysToDrop

keys in map features dropped by RFF

featureDistributions

feature distributions calculated from the training and scoring data

Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. FilteredRawData
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Instance Constructors

  1. new FilteredRawData(cleanedData: DataFrame, featuresToDrop: Array[OPFeature], mapKeysToDrop: Map[String, Set[String]], featureDistributions: Seq[FeatureDistribution])

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    cleanedData

    RFF cleaned data

    featuresToDrop

    raw features dropped by RFF

    mapKeysToDrop

    keys in map features dropped by RFF

    featureDistributions

    feature distributions calculated from the training and scoring data

Value Members

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

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  2. final def ##(): Int

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    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. val cleanedData: DataFrame

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    RFF cleaned data

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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  8. val featureDistributions: Seq[FeatureDistribution]

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    feature distributions calculated from the training and scoring data

  9. val featuresToDrop: Array[OPFeature]

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    raw features dropped by RFF

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  13. val mapKeysToDrop: Map[String, Set[String]]

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    keys in map features dropped by RFF

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

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    Definition Classes
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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def scoringFeatureDistributions: Seq[FeatureDistribution]

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    Feature distributions calculated from the scoring data

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

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    Definition Classes
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  19. def trainingFeatureDistributions: Seq[FeatureDistribution]

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    Feature distributions calculated from the training data

  20. final def wait(): Unit

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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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

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