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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/07 16:50:00 UTC

[jira] [Assigned] (SPARK-19759) ALSModel.predict on Dataframes : potential optimization by not using blas

     [ https://issues.apache.org/jira/browse/SPARK-19759?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-19759:
------------------------------------

    Assignee:     (was: Apache Spark)

> ALSModel.predict on Dataframes : potential optimization by not using blas 
> --------------------------------------------------------------------------
>
>                 Key: SPARK-19759
>                 URL: https://issues.apache.org/jira/browse/SPARK-19759
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.1.1
>            Reporter: Sue Ann Hong
>            Priority: Minor
>
> In the DataFrame ALS prediction function, we use blas.sdot which may be slower due to the conversion to Arrays. We can try operating on Seqs or another data structure to see if avoiding the conversion makes the operation faster. Ref: https://github.com/apache/spark/pull/17090/files/707bc6b153a7f899fbf3fe2a5675cacba1f95711#diff-be65dd1d6adc53138156641b610fcada 



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