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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (AIRFLOW-3284) Support for Azure Batch AI Deployment
Date Fri, 07 Dec 2018 17:11:00 GMT


ASF GitHub Bot commented on AIRFLOW-3284:

elizabethhalper opened a new pull request #4293: [AIRFLOW-3284] Add Azure Batch AI Operator
   Make sure you have checked _all_ steps below.
   ### Jira
   - [ ] My PR addresses the following [Airflow Jira](
issues and references them in the PR title:
     - In case you are fixing a typo in the documentation you can prepend your commit with
[AIRFLOW-3284], code changes always need a Jira issue.
   ### Description
   - [ ] Here are some details about my PR, including screenshots of any UI changes:
   Adds an operator to create an Azure Batch AI cluster. There is a hook, example DAG, and
tests to support this operator. Azure Batch AI allows users to experiment and train deep learning
and AI models in parallel at scale.
   Operator supports creating a batch AI cluster by using any Marketplace image when given
the publisher, offer, sku, and version.
   ### Tests
   - [ ] My PR adds the following unit tests __OR__ does not need testing for this extremely
good reason:
   There are unit tests that test a successful execution of the operator and an execution
that raises an Airflow exception.
   ### Commits
   - [ ] My commits all reference Jira issues in their subject lines, and I have squashed
multiple commits if they address the same issue. In addition, my commits follow the guidelines
from "[How to write a good git commit message](":
     1. Subject is separated from body by a blank line
     1. Subject is limited to 50 characters (not including Jira issue reference)
     1. Subject does not end with a period
     1. Subject uses the imperative mood ("add", not "adding")
     1. Body wraps at 72 characters
     1. Body explains "what" and "why", not "how"
   ### Documentation
   - [ ] In case of new functionality, my PR adds documentation that describes how to use
     - When adding new operators/hooks/sensors, the autoclass documentation generation needs
to be added.
     - All the public functions and the classes in the PR contain docstrings that explain
what it does
   ### Code Quality
   - [ ] Passes `flake8`

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> Support for Azure Batch AI Deployment
> -------------------------------------
>                 Key: AIRFLOW-3284
>                 URL:
>             Project: Apache Airflow
>          Issue Type: New Feature
>          Components: hooks, operators
>            Reporter: Elizabeth
>            Assignee: Elizabeth
>            Priority: Major
> An Azure Batch AI Operator allows the user to run and monitor a Batch AI Cluster on Azure

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