Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/16158#discussion_r131132815
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -229,6 +233,29 @@ class CrossValidatorModel private[ml] (
bestModel.transformSchema(schema)
}
+ private var trainingSummary: Option[TuningSummary] = None
+
+ private[tuning] def setSummary(summary: Option[TuningSummary]):
this.type = {
+ this.trainingSummary = summary
+ this
+ }
+
+ /**
+ * Return true if there exists summary of model.
+ */
+ @Since("2.3.0")
+ def hasSummary: Boolean = trainingSummary.nonEmpty
+
+ /**
+ * Gets summary of model on training set. An exception is
--- End diff --
Likewise, "cross-validation performance of each model" or similar?
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