Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6011#discussion_r29963404
--- Diff: python/pyspark/mllib/evaluation.py ---
@@ -141,6 +141,133 @@ def r2(self):
return self.call("r2")
+class MulticlassMetrics(JavaModelWrapper):
+ """
+ Evaluator for multiclass classification.
+
+ >>> predictionAndLabels = sc.parallelize([(0.0, 0.0), (0.0, 1.0),
(0.0, 0.0),
+ ... (1.0, 0.0), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (2.0, 2.0),
(2.0, 0.0)])
+ >>> metrics = MulticlassMetrics(predictionAndLabels)
+ >>> metrics.falsePositiveRate(0.0)
+ 0.2
--- End diff --
It seems that there are some numerical errors in the python 2.6 test. So we
can change it to `0.2...`
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