Github user yanboliang commented on the pull request:
https://github.com/apache/spark/pull/7177#issuecomment-118370370
@mengxr @jkbradley Yes, the cluster assignments is deterministic subject
to numerical difference. The current tests is deterministic right now just like
the test case in Scala. It does not need a random seed parameter if the test
data is sufficient and it will produce deterministic result.
The current fixed doctest command is similar to
[GaussianMixture](https://github.com/apache/spark/blob/master/python/pyspark/mllib/clustering.py#L178).
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