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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:02:24 UTC

[jira] [Updated] (SPARK-1359) SGD implementation is not efficient

     [ https://issues.apache.org/jira/browse/SPARK-1359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-1359:
--------------------------------
    Labels: bulk-closed  (was: )

> SGD implementation is not efficient
> -----------------------------------
>
>                 Key: SPARK-1359
>                 URL: https://issues.apache.org/jira/browse/SPARK-1359
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 0.9.0, 1.0.0
>            Reporter: Xiangrui Meng
>            Priority: Major
>              Labels: bulk-closed
>
> The SGD implementation samples a mini-batch to compute the stochastic gradient. This is not efficient because examples are provided via an iterator interface. We have to scan all of them to obtain a sample.



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