[
https://issues.apache.org/jira/browse/SPARK-3382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14237857#comment-14237857
]
Apache Spark commented on SPARK-3382:
-------------------------------------
User 'Lewuathe' has created a pull request for this issue:
https://github.com/apache/spark/pull/3636
> GradientDescent convergence tolerance
> -------------------------------------
>
> Key: SPARK-3382
> URL: https://issues.apache.org/jira/browse/SPARK-3382
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.1.0
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> GradientDescent should support a convergence tolerance setting. In general,
> for optimization, convergence tolerance should be preferred over a limit on
> the number of iterations since it is a somewhat data-adaptive or
> data-specific convergence criterion.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
