Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/3261#discussion_r20377537
--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -23,6 +23,16 @@
class Rating(object):
--- End diff --
It's hard to choose between them according performance micro benchmark,
they may behave differently in different environment.
All the implementation of MLlib are in scala, Python API is just a wrapper,
so may the performance of serialization is the most one we should care about,
not accessors.
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