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Posted to issues@systemml.apache.org by "Mike Dusenberry (JIRA)" <ji...@apache.org> on 2016/10/21 18:24:58 UTC

[jira] [Created] (SYSTEMML-1053) DataFrame Sparse Row Conversion Exception

Mike Dusenberry created SYSTEMML-1053:
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             Summary: DataFrame Sparse Row Conversion Exception
                 Key: SYSTEMML-1053
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1053
             Project: SystemML
          Issue Type: Bug
            Reporter: Mike Dusenberry


A {{java.lang.NegativeArraySizeException}} exception in {{SparseBlockMCSR}} occurs if a user supplies a DataFrame to MLContext with an explicit row index column ({{__INDEX}}) that contains sparse rows.

For example, if a user samples from a large DataFrame with an explicit dense row index column, the result will be a DataFrame with sparse row indices.



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