Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5173#discussion_r28483597
--- Diff: examples/src/main/python/mllib/gradient_boosted_trees.py ---
@@ -49,8 +50,8 @@ def testRegression(trainingData, testData):
# 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() \
- / float(testData.count())
+ testMSE = labelsAndPredictions.map(lambda v_p1: (v_p1[0] - v_p1[1]) *
(v_p1[0] - v_p1[1]))\
--- End diff --
Why using `v_p1` instead of `vp` or `v_p`?
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