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https://issues.apache.org/jira/browse/SPARK-29810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aman Omer updated SPARK-29810:
------------------------------
Parent: SPARK-29818
Issue Type: Sub-task (was: Improvement)
> Missing persist on retaggedInput in RandomForest.run()
> ------------------------------------------------------
>
> Key: SPARK-29810
> URL: https://issues.apache.org/jira/browse/SPARK-29810
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 2.4.3
> Reporter: Dong Wang
> Priority: Major
>
> The rdd retaggedInput should be persisted in ml.tree.impl.RandomForest.run(),
> because it will be used more than one actions.
> {code:scala}
> def run(
> input: RDD[LabeledPoint],
> strategy: OldStrategy,
> numTrees: Int,
> featureSubsetStrategy: String,
> seed: Long,
> instr: Option[Instrumentation],
> prune: Boolean = true, // exposed for testing only, real trees are
> always pruned
> parentUID: Option[String] = None): Array[DecisionTreeModel] = {
> val timer = new TimeTracker()
> timer.start("total")
> timer.start("init")
> val retaggedInput = input.retag(classOf[LabeledPoint]) // it needs to be
> persisted
> {code}
> This issue is reported by our tool CacheCheck, which is used to dynamically
> detecting persist()/unpersist() api misuses.
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