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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-6486) Add BlockMatrix in PySpark
Date Thu, 30 Jul 2015 22:04:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng updated SPARK-6486:
---------------------------------
    Assignee: Mike Dusenberry

> Add BlockMatrix in PySpark
> --------------------------
>
>                 Key: SPARK-6486
>                 URL: https://issues.apache.org/jira/browse/SPARK-6486
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib, PySpark
>            Reporter: Xiangrui Meng
>            Assignee: Mike Dusenberry
>
> We should add BlockMatrix to PySpark. Internally, we can use DataFrames and MatrixUDT
for serialization. This JIRA should contain conversions between IndexedRowMatrix/CoordinateMatrix
to block matrices. But this does NOT cover linear algebra operations of block matrices.



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