Github user tgaloppo commented on the pull request:
https://github.com/apache/spark/pull/4654#issuecomment-75236020
@MechCoder I mean making sure this is run on a cluster and not just on a
single machine. My hypothesis is that cost of distributing the tasks to the
cluster nodes (and collecting the results) will exceed the time saved by
parallelizing the Gaussian initializations for data dimensions within the
operational utility of the algorithm (as discussed on Jira). On a single
[multi-core] machine the savings may be observable, since there is no network
to contend with.
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