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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/11/08 03:32:58 UTC

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

Joseph K. Bradley created SPARK-18341:
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             Summary: 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
            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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