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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/09/14 21:10:48 UTC
[jira] [Commented] (SPARK-10194) SGD algorithms need convergenceTol
parameter in Python
[ https://issues.apache.org/jira/browse/SPARK-10194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14744055#comment-14744055 ]
Xiangrui Meng commented on SPARK-10194:
---------------------------------------
[~yanboliang] Next time please leave a message on the JIRA page before you start coding, even for small tasks. This is to avoid duplicate work. Thanks!
> SGD algorithms need convergenceTol parameter in Python
> -------------------------------------------------------
>
> Key: SPARK-10194
> URL: https://issues.apache.org/jira/browse/SPARK-10194
> Project: Spark
> Issue Type: New Feature
> Components: MLlib, PySpark
> Reporter: Joseph K. Bradley
> Assignee: Yanbo Liang
> Fix For: 1.6.0
>
>
> [SPARK-3382] added a convergenceTol parameter for GradientDescent-based methods in Scala. We need that parameter in Python; otherwise, Python users will not be able to adjust that behavior (or even reproduce behavior from previous releases since the default changed).
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