Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/296#issuecomment-39818904
@mateiz , I added `computeSVD` and `computeGramianMatrix` to
`IndexedRowMatrix`. Covariance and PCA computation are affected by empty rows.
Maybe we can assume "IndexedRowMatrix" doesn't have empty rows, so the row
indices make a permutation of `0,...,m-1`, where `m` is the number of rows in
the RDD. This can simplify the computation.
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