Github user hhbyyh commented on a diff in the pull request: https://github.com/apache/spark/pull/17586#discussion_r111312845 --- Diff: mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala --- @@ -287,6 +290,27 @@ class LinearSVCModel private[classification] ( @Since("2.2.0") def setWeightCol(value: Double): this.type = set(threshold, value) + private var trainingSummary: Option[LinearSVCTrainingSummary] = None + + private[classification] + def setSummary(summary: Option[LinearSVCTrainingSummary]): this.type = { + this.trainingSummary = summary + this + } + + /** + * Gets summary of model on training set. An exception is + * thrown if `trainingSummary == None`. + */ + @Since("2.2.0") + def summary: LinearSVCTrainingSummary = trainingSummary.getOrElse( + throw new SparkException("No training summary available for this LinearSVCModel") --- End diff -- I know other places has the same code here. But I don't think throwing an exception here is proper. If summary is not defined, we should simply return none, or keep this field as Option[LinearSVCTrainingSummary] to make that expected by the users. Need to confirm with committers.
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