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From "Sandeep Singh (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-1428) MLlib should convert non-float64 NumPy arrays to float64 instead of complaining
Date Tue, 08 Apr 2014 06:50:14 GMT

    [ https://issues.apache.org/jira/browse/SPARK-1428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13962636#comment-13962636
] 

Sandeep Singh commented on SPARK-1428:
--------------------------------------

this should work https://github.com/apache/spark/pull/356

> 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
>            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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