Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5647#discussion_r29361850
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -40,11 +40,16 @@ class KMeansModel(Saveable, Loader):
>>> data = array([0.0,0.0, 1.0,1.0, 9.0,8.0, 8.0,9.0]).reshape(4, 2)
>>> model = KMeans.train(
- ... sc.parallelize(data), 2, maxIterations=10, runs=30,
initializationMode="random")
+ ... sc.parallelize(data), 2, maxIterations=10, runs=30,
initializationMode="random",
+ ... seed=None, initializationSteps=5, epsilon=1e-4)
--- End diff --
I'm sorry about this, but hoped to add 1 more update. Could you please set
the seed to some fixed number in this and the other call to train() in this doc
test? It should be deterministic for stability. (It looks like this was a
problem before your PR too.) Thanks!
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