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https://issues.apache.org/jira/browse/SPARK-1457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-1457.
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Resolution: Won't Fix
I think this is not a bad idea but think this might have timed out, and will be
superseded by the new ML API anyway.
> Change APIs for training algorithms to take optimizer as parameter
> -------------------------------------------------------------------
>
> Key: SPARK-1457
> URL: https://issues.apache.org/jira/browse/SPARK-1457
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: DB Tsai
> Priority: Minor
>
> Currently, the training api has signature like LogisticRegressionWithSGD.
> If we want to use another optimizer, we've two options, either adding new api
> like LogisticRegressionWithNewOptimizer which causes 99% of the code
> duplication, or we can re-factorize the api to take the optimizer as an
> option like the following.
> class LogisticRegression private (
> var optimizer: Optimizer)
> extends GeneralizedLinearAlgorithm[LogisticRegressionModel]
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