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https://issues.apache.org/jira/browse/SPARK-6309?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14362794#comment-14362794
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Manoj Kumar commented on SPARK-6309:
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Can this be assigned to me, since this feature directly affects one of my Pull
Requests? (and also because I would like to play around a bit with SQL)
> Add MatrixUDT to support dense/sparse matrices in DataFrames
> ------------------------------------------------------------
>
> Key: SPARK-6309
> URL: https://issues.apache.org/jira/browse/SPARK-6309
> Project: Spark
> Issue Type: New Feature
> Components: MLlib, SQL
> Reporter: Xiangrui Meng
>
> This should support both dense and sparse matrices, similar to VectorUDT.
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