Github user staple commented on the pull request:
https://github.com/apache/spark/pull/2347#issuecomment-55138304
See above where I describe how, for python RDDs, the input data is
automatically cached and then deserialized via a map to an uncached RDD,
requiring deserialization of every row for every training iteration. Would it
make sense to change this to cache after deserializing instead of before? If so
I can file a new ticket and PR.
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