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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/03/24 04:40:53 UTC
[jira] [Updated] (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 updated SPARK-6486:
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Description: 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. (was: We should add BlockMatrix to PySpark. Internally, we can use DataFrames and MatrixUDT for serialization. This JIRA does NOT cover linear algebra operations of block matrices.)
> 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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