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Apache Spark commented on SPARK-5804: ------------------------------------- User 'petro-rudenko' has created a pull request for this issue: https://github.com/apache/spark/pull/4595 > Explicitly manage cache in Crossvalidation k-fold loop > ------------------------------------------------------ > > Key: SPARK-5804 > URL: https://issues.apache.org/jira/browse/SPARK-5804 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 1.3.0 > Reporter: Peter Rudenko > Priority: Minor > > On a big dataset explicitly unpersist train and validation folds allows to > load more data into memory in the next loop iteration. On my environment > (single node 8Gb worker RAM, 2 GB dataset file, 3 folds for cross > validation), saved more than 5 minutes. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org