Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17014#discussion_r135534873
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -85,6 +86,10 @@ abstract class Predictor[
M <: PredictionModel[FeaturesType, M]]
extends Estimator[M] with PredictorParams {
+ protected[spark] var storageLevel = StorageLevel.NONE
+
+ protected def handlePersistence = storageLevel == StorageLevel.NONE
--- End diff --
This design may cause some concurrency issue I think.
For example, if we want to use the predictor to train different dataset
parallelly, the `storageLevel` status will be in a mess.
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