org.apache.spark.mllib.feature

ChiSqSelector

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)

    numTopFeatures

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

    Annotations
    @Since( "1.3.0" )

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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.

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    @Since( "1.3.0" )

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  18. val numTopFeatures: Int

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

    Annotations
    @Since( "1.3.0" )

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