You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by "Younghee Kwon (Jira)" <ji...@apache.org> on 2019/11/30 21:24:00 UTC
[jira] [Comment Edited] (AIRFLOW-2540) Create an example dag using
Google Cloud ML Engine operators
[ https://issues.apache.org/jira/browse/AIRFLOW-2540?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16985437#comment-16985437 ]
Younghee Kwon edited comment on AIRFLOW-2540 at 11/30/19 9:23 PM:
------------------------------------------------------------------
Great! I left some minor comments on the PR [#6264|https://github.com/apache/airflow/pull/6264]. Just some good-to-haves.
Thanks for doing that; feel free to close this issue as resolved.
was (Author: younghee):
Great! I left some minor comments on the PR [#6264|[https://github.com/apache/airflow/pull/6264]]. Just some good-to-haves.
Thanks for doing that; feel free to close this issue as resolved.
> Create an example dag using Google Cloud ML Engine operators
> ------------------------------------------------------------
>
> Key: AIRFLOW-2540
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2540
> Project: Apache Airflow
> Issue Type: Task
> Components: contrib, gcp
> Reporter: Younghee Kwon
> Priority: Minor
>
> Create an example dag to show how to use ML Engine operators.
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)