Github user jegonzal commented on the pull request:
https://github.com/apache/spark/pull/3099#issuecomment-61934417
@jkbradley Right now we are planning to serve linear combinations of models
derived from MLlib (currently latent factor models, naive bayes, and decision
trees). Though I agree that in some cases (e.g., latent factor models) serving
is less trivial (thats the research). Still, it would be good to think of
models as output to be consumed by systems beyond Spark should people want to
do things beyond computing test error, admittedly thats all I ever do :-).
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