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https://issues.apache.org/jira/browse/SPARK-18471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18471:
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Assignee: (was: Apache Spark)
> In treeAggregate, generate (big) zeros instead of sending them.
> ---------------------------------------------------------------
>
> Key: SPARK-18471
> URL: https://issues.apache.org/jira/browse/SPARK-18471
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, Spark Core
> Reporter: Anthony Truchet
> Priority: Minor
>
> When using optimization routine like LBFGS, treeAggregate curently sends the
> zero vector as part of the closure. This zero can be huge (e.g. ML vectors
> with millions of zeros) but can be easily generated.
> Several option are possible (upcoming patches to come soon for some of them).
> On is to provide a treeAggregateWithZeroGenerator method (either in core on
> in MLlib) which wrap treeAggregate in an option and generate the zero if None.
> Another one is to rewrite treeAggregate to wrap an underlying implementation
> which use a zero generator directly.
> There might be other better alternative we have not spotted...
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