Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6906#discussion_r34198407
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/clustering/GaussianMixtureSuite.scala
---
@@ -148,6 +148,30 @@ class GaussianMixtureSuite extends SparkFunSuite with
MLlibTestSparkContext {
}
}
+ test("model prediction, parallel and local") {
+
+ val data = sc.parallelize(GaussianTestData.data)
+
+ val gmm = new GaussianMixture().setK(2).setSeed(0).run(data)
+
+ val batchPredictions = gmm.predict(data).collect()
--- End diff --
Be careful about assuming rows are returned in the same order. It
generally works but is not guaranteed. Instead, how about doing:
```
val batchPredictions = gmm.predict(data)
batchPredictions.zip(data).collect().foreach { case (batchPred, datum) =>
assert(batchPred === gmm.predict(datum))
}
```
Note the use of triple equals (better type handling).
Same for soft predictions.
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