[
https://issues.apache.org/jira/browse/SPARK-30641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhengruifeng updated SPARK-30641:
---------------------------------
Summary: Project Matrix: Linear Models revisit and refactor (was: ML algs
blockify input vectors)
> Project Matrix: Linear Models revisit and refactor
> --------------------------------------------------
>
> Key: SPARK-30641
> URL: https://issues.apache.org/jira/browse/SPARK-30641
> Project: Spark
> Issue Type: New Feature
> Components: ML, PySpark
> Affects Versions: 3.1.0, 3.2.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Major
>
> stacking input vectors into blocks will benefit ML algs:
> 1, less RAM to persist datasets, since the overhead of object header is
> reduced;
> 2, optimization potential for impl, since high-level BLAS can be used; Proven
> in ALS/MLP;
> 3, maybe a way to perform efficient mini-batch sampling (To be confirmed)
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
