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https://issues.apache.org/jira/browse/SPARK-10194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14712951#comment-14712951
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Apache Spark commented on SPARK-10194:
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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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