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https://issues.apache.org/jira/browse/SPARK-16843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16843.
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Resolution: Duplicate
I'd like to call this a subset of the more general changes for chi-squared
selection proposed in SPARK-17017 (see PR for more detail:
https://github.com/apache/spark/pull/14597 )
> Select features according to a percentile of the highest scores of
> ChiSqSelector
> --------------------------------------------------------------------------------
>
> Key: SPARK-16843
> URL: https://issues.apache.org/jira/browse/SPARK-16843
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Peng Meng
> Priority: Minor
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> It would be handy to add a percentile Param to ChiSqSelector, as in the
> scikit-learn one:
> http://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html
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