Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14456#discussion_r73256998
--- Diff: python/pyspark/ml/tuning.py ---
@@ -234,7 +234,7 @@ def _fit(self, dataset):
model = est.fit(train, epm[j])
# TODO: duplicate evaluator to take extra params from input
metric = eva.evaluate(model.transform(validation, epm[j]))
- metrics[j] += metric
+ metrics[j] += metric/nFolds
--- End diff --
OK looks fine actually. Would it be possible to add a little bit to the
test above this to demonstrate that the result is correct now? just testing the
value of the first element of metrics for example.
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