Github user sethah commented on a diff in the pull request: https://github.com/apache/spark/pull/16722#discussion_r99666667 --- Diff: mllib/src/test/scala/org/apache/spark/ml/util/MLTestingUtils.scala --- @@ -281,10 +283,26 @@ object MLTestingUtils extends SparkFunSuite { estimator: E with HasWeightCol, modelEquals: (M, M) => Unit): Unit = { estimator.set(estimator.weightCol, "weight") - val models = Seq(0.001, 1.0, 1000.0).map { w => + val models = Seq(0.01, 1.0, 1000.0).map { w => --- End diff -- Yes, the decision tree tests have trouble with numerical precision when the weights are really small.
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