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https://issues.apache.org/jira/browse/AIRFLOW-2291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16433809#comment-16433809
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ASF subversion and git services commented on AIRFLOW-2291:
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Commit d9bf1edd44af847aa1f9ecd9d797dfacb806cc00 in incubator-airflow's branch
refs/heads/master from [~dlebech]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-airflow.git;h=d9bf1ed ]
[AIRFLOW-2291] Add optional params to ML Engine
This commit adds three extra optional parameters
to the
`MLEngineTrainingOperator` as well as a new unit
test for the
`MLEngineVersionOperator`
Closes #3202 from dlebech/ml-engine-python-version
> Ability to specify runtimeVersion, pythonVersion and jobDir in ML Engine
> operator
> ---------------------------------------------------------------------------------
>
> Key: AIRFLOW-2291
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2291
> Project: Apache Airflow
> Issue Type: Improvement
> Components: contrib, gcp
> Affects Versions: Airflow 2.0, Airflow 1.8, Airflow 1.9.0
> Reporter: David Volquartz Lebech
> Assignee: David Volquartz Lebech
> Priority: Minor
>
> For the Google Cloud ML Engine Training Operator (in {{contrib}}), the
> [current list of
> arguments|https://github.com/apache/incubator-airflow/blob/b918a4976a641a3c944ef4ad4323fe25bd219ea0/airflow/contrib/operators/mlengine_operator.py#L538-L544]
> does not seem to include the option for specifying runtime and Python
> version which limits execution to Python 2.7. It also does not include the
> useful job directory argument.
> It seems that simply adding {{runtimeVersion}}, {{pythonVersion}} and
> {{jobDir}} to the list would be enough to make this work, according to [the
> documentations on ML
> engine|https://cloud.google.com/ml-engine/docs/tensorflow/versioning#set-python-version-training].
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