Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/17326#discussion_r107296544
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala
---
@@ -74,6 +74,7 @@ class MultilayerPerceptronClassifierSuite
.setMaxIter(100)
.setSolver("l-bfgs")
val model = trainer.fit(dataset)
+ MLTestingUtils.checkCopy(model)
--- End diff --
Let's do it this way for now - would be good to log a JIRA to investigate a
better and more generic way of testing so that it doesn't have to be done
manually for each newly added Estimator/Model (or when a Model changes such
that `defaultCopy` is no longer sufficient, etc)
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