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https://issues.apache.org/jira/browse/SPARK-6486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14630964#comment-14630964
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Xiangrui Meng commented on SPARK-6486:
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[~MechCoder] I think you can start this task without implementing the base
DistributedMatrix class and conversions from/to other distributed matrices.
Does it sound good to you? Please let me know if you see blockers ahead.
> 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
>
> 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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