Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/6499#discussion_r31555361
--- Diff: python/pyspark/mllib/tests.py ---
@@ -818,6 +830,78 @@ def test_model_transform(self):
self.assertEqual(model.transform([1.0, 2.0, 3.0]),
DenseVector([1.0, 2.0, 3.0]))
+class StreamingKMeansTest(MLLibStreamingTestCase):
+ def test_model_params(self):
--- End diff --
@davies Could you please verify if these are the best way to add MLlib
Streaming tests? I copied the idea from the tests in streaming.py.
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