Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16377#discussion_r95275814
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -176,6 +203,18 @@ class RandomForestSuite extends SparkFunSuite with
MLlibTestSparkContext {
assert(tree.rootNode.impurity === -1.0)
--- End diff --
We should change this test. The reason it didn't fail before is because one
of the categorical features ends up being treated as an ordered categorical
feature, which always generates splits. You can do that by changing the number
of categories to be 1 for the categorical features.
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