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https://issues.apache.org/jira/browse/SPARK-2819?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14355398#comment-14355398
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Sandy Ryza commented on SPARK-2819:
-----------------------------------
With the pipelines API superceding this, I think we can close this out.
> Difficult to turn on intercept with linear models
> -------------------------------------------------
>
> Key: SPARK-2819
> URL: https://issues.apache.org/jira/browse/SPARK-2819
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Sandy Ryza
>
> If I want to train a logistic regression model with default parameters and
> include an intercept, I can run:
> val alg = new LogisticRegressionWithSGD()
> alg.setIntercept(true)
> alg.run(data)
> but if I want to set a parameter like numIterations, I need to use
> LogisticRegressionWithSGD.train(data, 50)
> and have no opportunity to turn on the intercept.
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