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https://issues.apache.org/jira/browse/SPARK-20723?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16009171#comment-16009171
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Apache Spark commented on SPARK-20723:
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User 'phatak-dev' has created a pull request for this issue:
https://github.com/apache/spark/pull/17972
> Random Forest Classifier should expose intermediateRDDStorageLevel similar to
> ALS
> ---------------------------------------------------------------------------------
>
> Key: SPARK-20723
> URL: https://issues.apache.org/jira/browse/SPARK-20723
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.3.0
> Reporter: madhukara phatak
> Priority: Minor
>
> Currently Random Forest implementation cache as the intermediatery data using
> *MEMORY_AND_DISK* storage level. This creates issues in low memory scenarios.
> So we should expose an expert param *intermediateStorageLevel* which allows
> user to customise the storage level. This is similar to als options like
> specified in below jira
> https://issues.apache.org/jira/browse/SPARK-14412
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