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https://issues.apache.org/jira/browse/SPARK-1300?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell resolved SPARK-1300.
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Resolution: Fixed
> Clean-up and clarify private vs public fields in MLLib
> ------------------------------------------------------
>
> Key: SPARK-1300
> URL: https://issues.apache.org/jira/browse/SPARK-1300
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Patrick Wendell
> Assignee: Xiangrui Meng
> Priority: Blocker
> Fix For: 1.0.0
>
>
> Some of the MLLib implementations have random internal varaibles that are
> exposed and should be made private.
> For the regression package, there are a few fields (optimizer, updater,
> gradient) that we should just make private[spark].
> For other internal components we should annotate them as semi-private. I.e.
> they are deeper API's for more advanced developers.
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