Github user levin-royl commented on the pull request:
https://github.com/apache/spark/pull/10739#issuecomment-179118808
Hi, there are indeed some similar issues I found, e.g.:
https://issues.apache.org/jira/browse/SPARK-4039
https://issues.apache.org/jira/browse/SPARK-1212
https://github.com/mesos/spark/pull/736
But the difference is that in the problem I describe reducing the
dimensions of the problem (i.e., the feature space) to allow using dense
vectors is not suitable. Also, the solution I implemented supports this while
allowing full flexibility to the user --- i.e., using the default dense vector
implementation or selecting an alternative (only when the default it is not
desired).
I will update the JIRA issue on this as well.
Please advise if there are any additional steps I need to do at this point.
Thanks in advance.
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