Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5820#discussion_r29567541
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Evaluator.scala ---
@@ -36,5 +35,18 @@ abstract class Evaluator extends Identifiable {
* @param paramMap parameter map that specifies the input columns and
output metrics
* @return metric
*/
- def evaluate(dataset: DataFrame, paramMap: ParamMap): Double
+ def evaluate(dataset: DataFrame, paramMap: ParamMap): Double = {
+ this.copy(paramMap).evaluate(dataset)
+ }
+
--- End diff --
`Evaluator` is used for tuning model, where we need a scalar metric to
select the best model. We can try returning a comparable `T`, but this is not
part of this PR.
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