[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
