Github user avulanov commented on the pull request:
https://github.com/apache/spark/pull/1379#issuecomment-63906173
@dbtsai Thanks for explanation! Do I understand correct, that if I want to
get (num_features+1)*(num_classes) parameters from your model, I need to
concatenate a vector of length (num_features+1) with zeros at the beginning of
the vector that your model returns with `model.weights`?
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