You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/07/30 00:23:00 UTC

[jira] [Commented] (SPARK-36345) Create docker image that has mlflow and sklearn.

    [ https://issues.apache.org/jira/browse/SPARK-36345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17390210#comment-17390210 ] 

Hyukjin Kwon commented on SPARK-36345:
--------------------------------------

[~itholic] can you also update the JIRA title, etc.? It sounds like we need to create a completely new image whereas what it needs is to update the image.

> Create docker image that has mlflow and sklearn.
> ------------------------------------------------
>
>                 Key: SPARK-36345
>                 URL: https://issues.apache.org/jira/browse/SPARK-36345
>             Project: Spark
>          Issue Type: Improvement
>          Components: Project Infra, PySpark, Tests
>    Affects Versions: 3.2.0
>            Reporter: Haejoon Lee
>            Priority: Major
>
> In Github Actions CI, we install the `mlflow>=1.0` and `sklearn` in the step "List Python packages (Python 3.9)" of "pyspark" job.
>  
> We can reduce the cost of CI by creating the image that has pre-installed both package.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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