Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12964#discussion_r62730071
--- Diff: python/pyspark/ml/evaluation.py ---
@@ -193,7 +197,11 @@ class RegressionEvaluator(JavaEvaluator, HasLabelCol,
HasPredictionCol):
# when we evaluate a metric that is needed to minimize (e.g.,
`"rmse"`, `"mse"`, `"mae"`),
# we take and output the negative of this metric.
metricName = Param(Params._dummy(), "metricName",
- "metric name in evaluation (mse|rmse|r2|mae)",
+ """metric name in evaluation - one of:
+ rmse - default root mean squared error
--- End diff --
@holdenk sorry I missed this before, but could we do it like `rmse - root
mean squared error (default)` instead?
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