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Posted to commits@airflow.apache.org by "Chris Riccomini (JIRA)" <ji...@apache.org> on 2017/07/06 18:48:00 UTC
[jira] [Resolved] (AIRFLOW-1271) Google Cloud ML Training Operator
[ https://issues.apache.org/jira/browse/AIRFLOW-1271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chris Riccomini resolved AIRFLOW-1271.
--------------------------------------
Resolution: Fixed
Fix Version/s: 1.9.0
> Google Cloud ML Training Operator
> ---------------------------------
>
> Key: AIRFLOW-1271
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1271
> Project: Apache Airflow
> Issue Type: New Feature
> Components: operators
> Reporter: Peter Dolan
> Assignee: Peter Dolan
> Fix For: 1.9.0
>
>
> There should be an Operator for the Google Cloud ML Training Job, which supports executing Tensorflow neural network training as a service. Documentation is here: https://cloud.google.com/ml-engine/docs/how-tos/training-jobs
> This should support launching the training job on the service via the API call in operation, or running the job locally on your machine via the 'gcloud ml-engine local' command for end-to-end testing. Documentation is here: https://cloud.google.com/sdk/gcloud/reference/ml-engine/local/
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