Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/14725
Thanks @holdenk for taking a look! Yeah, I think you're right about the
issues trying to infer a type. It would be nice if there was some easy way to
specify a primitive type since that would cover most of the cases in mllib, but
it's not that big of deal. If anything it's probably just a little obscure to
a dev who's not familiar with py4j in Spark that for a sting the java class
should be `sc._gateway.jvm.java.lang.String`, for example.
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