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Posted to issues@spark.apache.org by "Michelangelo D'Agostino (JIRA)" <ji...@apache.org> on 2014/11/06 00:08:34 UTC
[jira] [Commented] (SPARK-1006) MLlib ALS gets stack overflow with
too many iterations
[ https://issues.apache.org/jira/browse/SPARK-1006?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14199314#comment-14199314 ]
Michelangelo D'Agostino commented on SPARK-1006:
------------------------------------------------
Any plans to work on this or any pointers how one would go about making the needed modification? I'm working with a dataset that doesn't appear to be converging before it runs into this limitation...
> MLlib ALS gets stack overflow with too many iterations
> ------------------------------------------------------
>
> Key: SPARK-1006
> URL: https://issues.apache.org/jira/browse/SPARK-1006
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Reporter: Matei Zaharia
>
> The tipping point seems to be around 50. We should fix this by checkpointing the RDDs every 10-20 iterations to break the lineage chain, but checkpointing currently requires HDFS installed, which not all users will have.
> We might also be able to fix DAGScheduler to not be recursive.
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