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https://issues.apache.org/jira/browse/SPARK-6309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-6309.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5048
[https://github.com/apache/spark/pull/5048]
> 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
> Fix For: 1.4.0
>
>
> This should support both dense and sparse matrices, similar to VectorUDT.
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