Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14524
I probably need some oversight here since I'm not familiar with pyspark in
this regard, but it looks like PythonMLLibAPI treated seeds a little
differently in a few cases which meant they couldn't be null/None. That seemed
like something fix, even if not changing behavior. Yeah right now I think you
couldn't for example specify "no seed" to a few Pyspark API methods but you can
for others. Specifying None would result in 0 or something as a seed.
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