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Posted to issues@spark.apache.org by "Matei Zaharia (JIRA)" <ji...@apache.org> on 2014/04/08 20:19:14 UTC

[jira] [Updated] (SPARK-1428) MLlib should convert non-float64 NumPy arrays to float64 instead of complaining

     [ https://issues.apache.org/jira/browse/SPARK-1428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Matei Zaharia updated SPARK-1428:
---------------------------------

    Assignee: Sandeep Singh  (was: Matei Zaharia)

> MLlib should convert non-float64 NumPy arrays to float64 instead of complaining
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-1428
>                 URL: https://issues.apache.org/jira/browse/SPARK-1428
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib, PySpark
>            Reporter: Matei Zaharia
>            Assignee: Sandeep Singh
>            Priority: Minor
>              Labels: Starter
>
> Pretty easy to fix, it would avoid spewing some scary task-failed errors. The place to fix this is _serialize_double_vector in _common.py.



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