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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:44:21 UTC
[jira] [Resolved] (SPARK-15882) Discuss distributed linear algebra
in spark.ml package
[ https://issues.apache.org/jira/browse/SPARK-15882?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-15882.
----------------------------------
Resolution: Incomplete
> Discuss distributed linear algebra in spark.ml package
> ------------------------------------------------------
>
> Key: SPARK-15882
> URL: https://issues.apache.org/jira/browse/SPARK-15882
> Project: Spark
> Issue Type: Brainstorming
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Major
> Labels: bulk-closed
>
> This JIRA is for discussing how org.apache.spark.mllib.linalg.distributed.* should be migrated to org.apache.spark.ml.
> Initial questions:
> * Should we use Datasets or RDDs underneath?
> * If Datasets, are there missing features needed for the migration?
> * Do we want to redesign any aspects of the distributed matrices during this move?
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