Github user srowen commented on the issue:
https://github.com/apache/spark/pull/22784
Hm, as a general comment, is this going to scale? This is making a
potentially huge sparse data set dense, and computing a PCA via SVD. I get the
idea that it's better to have some option than none, but I wonder if this
approach is realistic for a data set with even 100K rows, and if not, is it
going to confuse people.
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