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From "Michelangelo D'Agostino (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-1006) MLlib ALS gets stack overflow with too many iterations
Date Wed, 05 Nov 2014 23:08:34 GMT

    [ 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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