Class

org.apache.spark.mllib.feature

ChiSqSelector

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class ChiSqSelector extends Serializable

Creates a ChiSquared feature selector.

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@Since( "1.3.0" )
Source
ChiSqSelector.scala
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Instance Constructors

  1. new ChiSqSelector(numTopFeatures: Int)

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    numTopFeatures

    number of features that selector will select (ordered by statistic value descending) Note that if the number of features is less than numTopFeatures, then this will select all features.

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    @Since( "1.3.0" )

Value Members

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

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  2. final def ##(): Int

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  8. def finalize(): Unit

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

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    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.

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    @Since( "1.3.0" )
  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. val numTopFeatures: Int

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    number of features that selector will select (ordered by statistic value descending) Note that if the number of features is less than numTopFeatures, then this will select all features.

    number of features that selector will select (ordered by statistic value descending) Note that if the number of features is less than numTopFeatures, then this will select all features.

    Annotations
    @Since( "1.3.0" )
  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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