Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/14524
Just to clarify what we are talking about on the Python side, pyspark-mllib
given `seed=None` will generate a random seed based on system time, while
pyspark-ml given `seed=None` will use a fixed seed with a value of `0`.
@srowen, I think you are proposing to at least make things consistent within
pyspark-mllib, where there were some odd seed values, is that right?
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