Github user hhbyyh commented on a diff in the pull request: https://github.com/apache/spark/pull/16158#discussion_r131454343 --- Diff: mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala --- @@ -133,7 +134,10 @@ class CrossValidator @Since("1.2.0") (@Since("1.4.0") override val uid: String) logInfo(s"Best cross-validation metric: $bestMetric.") val bestModel = est.fit(dataset, epm(bestIndex)).asInstanceOf[Model[_]] instr.logSuccess(bestModel) - copyValues(new CrossValidatorModel(uid, bestModel, metrics).setParent(this)) + val model = new CrossValidatorModel(uid, bestModel, metrics).setParent(this) + val summary = new TuningSummary(epm, metrics, bestIndex) + model.setSummary(Some(summary)) --- End diff -- There might be something like detailed training log and training time for each model. But I'm thinking the current Summary pattern does have some room for improvement (e.g., save/load and API), it makes me feel bad when I have to duplicate the code like `def hasSummary: Boolean = trainingSummary.nonEmpty`. Thus saving it to the models sounds like a good idea to me.
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