Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/5707#issuecomment-99689517
@Lewuathe I'll make a pass now. Sorry about the delay! For k-fold, I
think you should be able to do it following the example of the PySpark
algorithms which take RDDs and do training in the JVM:
* Write a method in PythonMLLibAPI.scala which is a wrapper for
MLUtils.kFold.
* In your Python implementation, use callMLlibFunc in common.py to call
that wrapper method.
I think that should keep you from having the worry about ClassTags.
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