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https://issues.apache.org/jira/browse/SPARK-6948?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14533226#comment-14533226
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Apache Spark commented on SPARK-6948:
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User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/5985
> VectorAssembler should choose dense/sparse for output based on number of zeros
> ------------------------------------------------------------------------------
>
> Key: SPARK-6948
> URL: https://issues.apache.org/jira/browse/SPARK-6948
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Minor
>
> Now VectorAssembler only outputs sparse vectors. We should choose
> dense/sparse format automatically, whichever uses less memory.
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