Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55976264
I'll make a JIRA for supporting hand-picked numbers of features; we can
discuss fraction vs. integer there. I like the functional options (sqrt, log2)
supported by scikit-learn since those are arguably sort of data-adaptive, but I
agree hand-picked values will be necessary.
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