Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/14449
Hi @srowen , I also plan to submit some PR about feature selection methods
based on univariate statistical test, like the methods in scikit-learn:
SelectFpr (using false positive rate), SelectFdr ( using false discovery
rate), and SelectFwe (family wise error ).
http://scikit-learn.org/dev/modules/feature_selection.html
Now, the ChiSqSelector in Spark only can select the topNumFeatures. Do you
think Spark should support other feature selection methods?
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