Github user LeoIV commented on the issue:
https://github.com/apache/spark/pull/18636
At the moment, it is not possible to improve a models accuracy by
incorporating additional data. I think this should be supported since it can
increase a classifiers performance significantly. With this implementation, I
was able to train unsupervised on a Wikipedia Dump, which is pretty large.
However, distributing the set is a good point.
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