Hey, I'm trying to implement doc2vec (http://cs.stanford.edu/~quocle/paragraph_vector.pdf, mainly for sport/research purpose due to all it's limitations so I would probably not even try to PR it into MLlib itself) but to do that it would be highly useful to have access to MLlib's Word2VecModel class, which is mostly private. Is there any reason (i.e. some Spark/MLlib guidelines) for that or would it be ok to refactor the code and make a PR? I've found a similar JIRA issue which was posted almost a year ago but for some reason it got closed: https://issues.apache.org/jira/browse/SPARK-4101.
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