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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/11/24 09:09:58 UTC

[jira] [Assigned] (SPARK-18341) Eliminate use of SingularMatrixException in WeightedLeastSquares logic

     [ https://issues.apache.org/jira/browse/SPARK-18341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-18341:
------------------------------------

    Assignee: Apache Spark

> Eliminate use of SingularMatrixException in WeightedLeastSquares logic
> ----------------------------------------------------------------------
>
>                 Key: SPARK-18341
>                 URL: https://issues.apache.org/jira/browse/SPARK-18341
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Assignee: Apache Spark
>            Priority: Minor
>
> WeightedLeastSquares uses an Exception to implement fallback logic for which solver to use: [https://github.com/apache/spark/blob/6f3697136aa68dc39d3ce42f43a7af554d2a3bf9/mllib/src/main/scala/org/apache/spark/ml/optim/WeightedLeastSquares.scala#L258]
> We should use an error code instead of an exception.
> * Note the error code should be internal, not a public API.
> * We may be able to eliminate the SingularMatrixException class.



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