Github user sethah commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13981#discussion_r69298953
  
    --- Diff: 
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
 ---
    @@ -96,6 +108,15 @@ class DecisionTreeRegressorSuite
           assert(variance === expectedVariance,
             s"Expected variance $expectedVariance but got $variance.")
         }
    +
    +    val toyDF = TreeTests.setMetadata(toyData, Map.empty[Int, Int], 0)
    +    dt.setMaxDepth(1)
    +      .setMaxBins(6)
    +      .setSeed(0)
    +    val expectVariances = 
dt.fit(toyDF).transform(toyDF).select("variance").collect().map {
    +      case Row(variance: Double) => variance }
    +    val trueVariances = Array(0.667, 0.667, 0.667, 2.667, 2.667, 2.667)
    +    trueVariances.zip(expectVariances).foreach(x => x._1 ~== x._2 absTol 
1e-3)
    --- End diff --
    
    Although this technically works, it is less confusing if use `assert` and 
unpack the tuple. Like
    
    ```scala
    ...foreach { case (actual, expected) =>
      assert(actual ~== expected absTol 1e-3)
    }
    ```


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