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https://issues.apache.org/jira/browse/SPARK-30641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-30641:
----------------------------------
    Affects Version/s:     (was: 3.0.0)
                       3.1.0

> ML algs blockify input vectors
> ------------------------------
>
>                 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
>            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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