org.apache.spark.mllib.feature

ChiSqSelector

class ChiSqSelector extends Serializable

:: Experimental :: Creates a ChiSquared feature selector.

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@Experimental()
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Instance Constructors

  1. new ChiSqSelector(numTopFeatures: Int)

    numTopFeatures

    number of features that selector will select (ordered by statistic value descending)

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

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

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  10. def finalize(): Unit

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  11. def fit(data: RDD[LabeledPoint]): ChiSqSelectorModel

    Returns a ChiSquared feature selector.

    Returns a ChiSquared feature selector.

    data

    an RDD[LabeledPoint] containing the labeled dataset with categorical features. Real-valued features will be treated as categorical for each distinct value. Apply feature discretizer before using this function.

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. val numTopFeatures: Int

    number of features that selector will select (ordered by statistic value descending)

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

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  20. def toString(): String

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  21. final def wait(): Unit

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