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https://issues.apache.org/jira/browse/SPARK-14479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15233117#comment-15233117
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Joseph K. Bradley commented on SPARK-14479:
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+[~dbtsai]

I'm ambivalent here.  I'd assume new users would gravitate towards 
Linear/LogisticRegression, and more expert people would go for 
GeneralizedLinearRegression.  If I had to choose, I would say "prediction" 
should correspond to "response" as [~yanboliang] suggests.  To be very clear in 
the API, we could also have 2 output columns "link" and "response" and not even 
use "prediction"

> GLM predict type should be link or response?
> --------------------------------------------
>
>                 Key: SPARK-14479
>                 URL: https://issues.apache.org/jira/browse/SPARK-14479
>             Project: Spark
>          Issue Type: Question
>          Components: ML, SparkR
>            Reporter: Yanbo Liang
>
> In R glm and glmnet, the default type of predict is "link" which is the 
> linear predictor, users can specify "type = response" to output response 
> prediction. Currently the ML glm predict will output "response" prediction by 
> default, I think it's more reasonable. Should we change the default type of 
> ML glm predict output? 
> R glm: 
> https://stat.ethz.ch/R-manual/R-devel/library/stats/html/predict.glm.html
> R glmnet: http://www.inside-r.org/packages/cran/glmnet/docs/predict.glmnet
> Meanwhile, we should decide the default type of glm predict output in SparkR.



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