Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/7381#issuecomment-121817685
LGTM except some minor comments, which we can fix in the next PR. Merged
into master. Thanks! As the next step, we can create a wrapper for `RFormula +
LinearRegression` on the Scala side and then call it in R. Independently, we
can add features to `RModelParser`. I'd recommend the former first in order to
have some working MLlib + SparkR features in 1.5.
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