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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/26 13:18:46 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=14712951#comment-14712951 ]
Apache Spark commented on SPARK-10194:
--------------------------------------
User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/8457
> 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
>
> [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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