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https://issues.apache.org/jira/browse/SPARK-7134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14511717#comment-14511717
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Apache Spark commented on SPARK-7134:
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User 'rakeshchalasani' has created a pull request for this issue:
https://github.com/apache/spark/pull/5692
> Add regParam and featureScaling options to Logistic regression 'train' methods
> ------------------------------------------------------------------------------
>
> Key: SPARK-7134
> URL: https://issues.apache.org/jira/browse/SPARK-7134
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Rakesh Chalasani
> Priority: Minor
>
> LogisticRegressionWithSGD is private to mllib and is accessible using "train"
> factory methods. But these train methods do not have provision to set
> regularization parameter or feature scaling. On the other hand,
> LogisticRegressionWithLBFGS is public, the user can set these parameters.
> Add a more general train method that allow setting there parameters on the
> model before training.
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