Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/10150#discussion_r49493668
--- Diff: python/pyspark/mllib/tests.py ---
@@ -419,6 +419,17 @@ class ListTests(MLlibTestCase):
as NumPy arrays.
"""
+ def test_bisecting_kmeans(self):
+ from pyspark.mllib.clustering import BisectingKMeans
+ data = array([0.0, 0.0, 1.0, 1.0, 9.0, 8.0, 8.0, 9.0]).reshape(4,
2)
+ bskm = BisectingKMeans()
+ model = bskm.train(sc.parallelize(data, 2), k=4)
+ p = array([0.0, 0.0])
+ rdd_p = self.sc.parallelize([p])
+ self.assertEqual(model.predict(p), model.predict(rdd_p).first())
+ self.assertEqual(model.computeCost(p), model.computeCost(rdd_p))
--- End diff --
I'm surprised this works. Shouldn't you have to call first() on the RDD?
IIRC, assertEqual is from unittest, which won't understand RDDs. (I also want
to make sure this is being run.)
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