Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/6795#issuecomment-118231235
Can you collect the RDDs before you do the timing (run a `tf.collect()`
before the timing experiments)? `tf` could be getting computed for `model` and
cached so `transformed_model` is fast.
Also, I don't think I completely understand what `SignificantSelector` is
supposed to do (can you answer my inline questions)? Thanks!
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