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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/08/05 16:41:04 UTC

[jira] [Resolved] (SPARK-6486) Add BlockMatrix in PySpark

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

Xiangrui Meng resolved SPARK-6486.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

Issue resolved by pull request 7761
[https://github.com/apache/spark/pull/7761]

> 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
>             Fix For: 1.6.0
>
>
> 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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