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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/03/20 22:14:39 UTC

[jira] [Updated] (SPARK-6309) Add MatrixUDT to support dense/sparse matrices in DataFrames

     [ https://issues.apache.org/jira/browse/SPARK-6309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-6309:
---------------------------------
    Assignee: Manoj Kumar

> 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
>            Assignee: Manoj Kumar
>             Fix For: 1.4.0
>
>
> This should support both dense and sparse matrices, similar to VectorUDT.



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