Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5885#discussion_r29692838
--- Diff: python/pyspark/ml/pipeline.py ---
@@ -168,3 +168,24 @@ def transform(self, dataset, params={}):
for t in self.transformers:
dataset = t.transform(dataset, paramMap)
return dataset
+
+
+class Evaluator(object):
+ """
+ Base class for evaluators that compute metrics from predictions.
+ """
+
+ __metaclass__ = ABCMeta
+
+ @abstractmethod
+ def evaluate(self, dataset, params={}):
--- End diff --
Should "params" be "paramMap" to match Scala?
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