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https://issues.apache.org/jira/browse/MAHOUT-2019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pat Ferrel updated MAHOUT-2019:
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Comment: was deleted
(was: This may be a non-issue:
Trevor said in email:
{quote}The spark is included via maven classifier-
the sbt line should be
libraryDependencies += "org.apache.mahout" % "mahout-spark_2.11" %
"0.13.1-SNAPSHOT" classifier "spark_2.1"
{quote})
> SparseRowMatrix assign ops user for loops instead of iterateNonZero and so
> can be optimized
> -------------------------------------------------------------------------------------------
>
> Key: MAHOUT-2019
> URL: https://issues.apache.org/jira/browse/MAHOUT-2019
> Project: Mahout
> Issue Type: Bug
> Components: Math
> Affects Versions: 0.13.0
> Reporter: Pat Ferrel
> Assignee: Pat Ferrel
> Fix For: 0.13.1
>
>
> DRMs get blockified into SparseRowMatrix instances if the density is low. But
> SRM inherits the implementation of method like "assign" from AbstractMatrix,
> which uses nest for loops to traverse rows. For multiplying 2 matrices that
> are extremely sparse, the kind if data you see in collaborative filtering,
> this is extremely wasteful of execution time. Better to use a sparse vector's
> iterateNonZero Iterator for some function types.
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