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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:12:44 UTC
[jira] [Resolved] (SPARK-20723) Random Forest Classifier should
expose intermediateRDDStorageLevel similar to ALS
[ https://issues.apache.org/jira/browse/SPARK-20723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-20723.
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Resolution: Incomplete
> 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: 2.2.0
> Reporter: madhukara phatak
> Priority: Minor
> Labels: bulk-closed
>
> 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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