[jira] [Updated] (SPARK-30641) ML algs blockify input vectors

["zhengruifeng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhengruifeng updated SPARK-30641:
---------------------------------
    Affects Version/s: 3.2.0

> 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, 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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