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https://issues.apache.org/jira/browse/SPARK-9112?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14630053#comment-14630053
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Manoj Kumar commented on SPARK-9112:
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Yes, that is the idea. Also we need not port it to ML right now, we could
convert the transformed the dataframe to the required input type in mllib
Also it might be useful to return the probability for the predicted class (as
done by predict_proba in scikit-learn) . how does that sound?
> Implement LogisticRegressionSummary similar to LinearRegressionSummary
> ----------------------------------------------------------------------
>
> Key: SPARK-9112
> URL: https://issues.apache.org/jira/browse/SPARK-9112
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Manoj Kumar
> Priority: Minor
>
> Since the API for LinearRegressionSummary has been merged, other models
> should follow suit.
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