Github user levin-royl commented on the pull request: https://github.com/apache/spark/pull/10739#issuecomment-176178297 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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