Class

com.salesforce.op.dsl.RichTextFeature

RichPickListFeature

Related Doc: package RichTextFeature

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implicit class RichPickListFeature extends AnyRef

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Instance Constructors

  1. new RichPickListFeature(f: FeatureLike[PickList])

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. val f: FeatureLike[PickList]

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. def vectorize(topK: Int, minSupport: Int, cleanText: Boolean, trackNulls: Boolean = TransmogrifierDefaults.TrackNulls, others: Array[FeatureLike[PickList]] = Array.empty): FeatureLike[OPVector]

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    Converts a sequence of PickList features into a vector keeping the top K occurrences of each feature, along with an extra column per feature indicating how many values were not in the top K.

    Converts a sequence of PickList features into a vector keeping the top K occurrences of each feature, along with an extra column per feature indicating how many values were not in the top K.

    topK

    How many values to keep in the vector

    minSupport

    Min times a value must occur to be retained in pivot

    cleanText

    If true, ignores capitalization and punctuations when grouping categories

    trackNulls

    keep an extra column that indicated if feature was null

    others

    Other PickList features to include in pivot

    returns

    The vectorized features

  19. final def wait(): Unit

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

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

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