You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2014/09/03 20:34:53 UTC

[jira] [Created] (SPARK-3382) GradientDescent convergence tolerance

Joseph K. Bradley created SPARK-3382:
----------------------------------------

             Summary: 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: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org