Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/6139#issuecomment-102297490
I had been thinking that the example should work no matter what seed is
used, but perhaps it's randomness from subsampling the data. In that case, the
implementation is correct...just not robust for tiny datasets (which may be OK
for Spark users). You're probably right that specifying the seed in the test
is fine for now.
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