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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2021/03/23 09:44:00 UTC
[jira] [Updated] (SPARK-30641) Project Matrix: Linear Models
revisit and refactor
[ https://issues.apache.org/jira/browse/SPARK-30641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng updated SPARK-30641:
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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)
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