Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/2313#issuecomment-56135525
@JoshRosen PySpark/MLlib requires NumPy to run, and I don't think we
claimed that we support different versions of NumPy.
`sample()` in core is different. Maybe we can test the overhead of using
Python's own random. The overhead may not be huge, due to
serialization/deserialization.
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