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https://issues.apache.org/jira/browse/SPARK-1580?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1580:
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Target Version/s: 1.1.0
Fix Version/s: (was: 1.1.0)
> ALS: Estimate communication and computation costs given a partitioner
> ---------------------------------------------------------------------
>
> Key: SPARK-1580
> URL: https://issues.apache.org/jira/browse/SPARK-1580
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Tor Myklebust
> Priority: Minor
>
> It would be nice to be able to estimate the amount of work needed to solve an
> ALS problem. The chief components of this "work" are computation time---time
> spent forming and solving the least squares problems---and communication
> cost---the number of bytes sent across the network. Communication cost
> depends heavily on how the users and products are partitioned.
> We currently do not try to cluster users or products so that fewer feature
> vectors need to be communicated. This is intended as a first step toward
> that end---we ought to be able to tell whether one partitioning is better
> than another.
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