[jira] [Assigned] (SPARK-9962) Decision Tree training: prevNodeIdsForInstances.unpersist() at end of training
[ https://issues.apache.org/jira/browse/SPARK-9962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-9962: --- Assignee: Apache Spark > Decision Tree training: prevNodeIdsForInstances.unpersist() at end of training > -- > > Key: SPARK-9962 > URL: https://issues.apache.org/jira/browse/SPARK-9962 > Project: Spark > Issue Type: Improvement > Components: ML >Reporter: Joseph K. Bradley >Assignee: Apache Spark >Priority: Minor > > NodeIdCache: prevNodeIdsForInstances.unpersist() needs to be called at end of > training. > This applies to both the ML and MLlib implementations, but it is Ok to skip > the MLlib implementation since it will eventually be replaced by the ML one. -- 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
[jira] [Assigned] (SPARK-9962) Decision Tree training: prevNodeIdsForInstances.unpersist() at end of training
[ https://issues.apache.org/jira/browse/SPARK-9962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-9962: --- Assignee: (was: Apache Spark) > Decision Tree training: prevNodeIdsForInstances.unpersist() at end of training > -- > > Key: SPARK-9962 > URL: https://issues.apache.org/jira/browse/SPARK-9962 > Project: Spark > Issue Type: Improvement > Components: ML >Reporter: Joseph K. Bradley >Priority: Minor > > NodeIdCache: prevNodeIdsForInstances.unpersist() needs to be called at end of > training. > This applies to both the ML and MLlib implementations, but it is Ok to skip > the MLlib implementation since it will eventually be replaced by the ML one. -- 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
