Github user holdenk commented on a diff in the pull request: https://github.com/apache/spark/pull/16405#discussion_r94259691 --- Diff: examples/src/main/python/mllib/decision_tree_regression_example.py --- @@ -44,7 +44,7 @@ # Evaluate model on test instances and compute test error predictions = model.predict(testData.map(lambda x: x.features)) labelsAndPredictions = testData.map(lambda lp: lp.label).zip(predictions) - testMSE = labelsAndPredictions.map(lambda (v, p): (v - p) * (v - p)).sum() /\ + testMSE = labelsAndPredictions.map(lambda lp: (lp[0] - lp[1]) * (lp[0] - lp[1])).sum() /\ --- End diff -- Why did we get rid of the lambda (v, p) & similar elsewhere?
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