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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/03 04:55:10 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=15360407#comment-15360407 ]
Apache Spark commented on SPARK-1428:
-------------------------------------
User 'techaddict' has created a pull request for this issue:
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
> Assignee: Sandeep Singh
> Priority: Minor
> Labels: Starter
> Fix For: 1.0.0
>
>
> 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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