Github user MLnick commented on the pull request:
https://github.com/apache/spark/pull/12299#issuecomment-208475286
I also assumed having mixed vectors would be a weird situation and unlikely
in practice.
Hold on though, we specify that `computeCovariance` (and also
`computeGramianMatrix`) only work with cols up to `65535`. How much gain do we
really get from handling the sparse case here?
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