Github user MLnick commented on the pull request:
https://github.com/apache/incubator-spark/pull/575#issuecomment-35443064
@mengxr <https://github.com/mengxr> ok, that is interesting. I have always
advocated for Breeze, but was told 6 months ago that it was a non-starter
due to these performance overheads. If that has changed I'm super happy.
Given that all we need for MLlib (for now anyway) is sparse vectors, I am
still in favour of Breeze. Since I believe breeze-math has great potential
to become the de facto numpy of Scala (is already really), I believe we
should rather spend resources making Breeze better where necessary, which
benefits Spark as well as the rest of the (growing) Scala scientific
computing community.
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