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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/17 08:26:00 UTC
[jira] [Updated] (SPARK-30641) ML algs blockify input vectors
[ https://issues.apache.org/jira/browse/SPARK-30641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-30641:
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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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