Github user freeman-lab commented on the pull request:
https://github.com/apache/spark/pull/4306#issuecomment-72581477
Ok, the problem is that we've been setting `initialWeights` to `null` by
default and then checking that weights are defined before starting training
(because we don't know the number of features ahead of time). But that now
yields a null pointer exception because the default constructor for
`LogisticRegressionModel` checks the size of the weights.
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