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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-6486) Add BlockMatrix in PySpark
Date Wed, 29 Jul 2015 23:50:05 GMT

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

Apache Spark reassigned SPARK-6486:
-----------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>
> 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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