Github user sethah commented on a diff in the pull request: https://github.com/apache/spark/pull/15413#discussion_r95064130 --- Diff: mllib/src/test/scala/org/apache/spark/ml/clustering/GaussianMixtureSuite.scala --- @@ -126,9 +143,93 @@ class GaussianMixtureSuite extends SparkFunSuite with MLlibTestSparkContext testEstimatorAndModelReadWrite(gm, dataset, GaussianMixtureSuite.allParamSettings, checkModelData) } + --- End diff -- In most of the other test suites in ML we have a test that checks the prediction/transform methods. For example, checking that the prediction always matches the highest probability, checking that probabilities sum to one. I don't see much reason to diverge from that pattern here, what do you think @yanboliang?
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