You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/17 07:00:13 UTC

[jira] [Commented] (SPARK-15946) Wrap the conversion utils in Python

    [ https://issues.apache.org/jira/browse/SPARK-15946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15335561#comment-15335561 ] 

Apache Spark commented on SPARK-15946:
--------------------------------------

User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/13731

> Wrap the conversion utils in Python
> -----------------------------------
>
>                 Key: SPARK-15946
>                 URL: https://issues.apache.org/jira/browse/SPARK-15946
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, MLlib
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>
> This is to wrap SPARK-15945 in Python. So Python users can use it to convert DataFrames with vector columns.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org