I think we're all good here. :)

On Mon, Jun 26, 2017 at 2:48 PM, Chris Riccomini <[email protected]>
wrote:

> Hey Peter,
>
> Thanks, will have a look. I'm a bit tied up with the 1.8.2 release at the
> moment, so it might be a little longer than usual, but I'll get there. I
> did do a bunch of Google PRs on Friday, but I must have missed this one.
> Stay tuned. If you don't get enough response by Wednesday, please re-ping.
>
> Cheers,
> Chris
>
> On Mon, Jun 26, 2017 at 1:46 PM, Peter Dolan <
> [email protected]> wrote:
>
>> Hey Chris,
>>
>> We sent our first pull request out for review last week, let me know if
>> you or someone else has time to take a look at it -
>> https://github.com/apache/incubator-airflow/pull/2390. Definitely
>> appreciate quick feedback as this is our first PR and I'm sure we're making
>> some novice errors.
>>
>> Thanks,
>> Peter
>>
>> On Mon, Jun 5, 2017 at 1:32 PM Chris Riccomini <[email protected]>
>> wrote:
>>
>>> Awesome, feel free to ping for code reviews if you don't get them in a
>>> timely manner.
>>>
>>> On Fri, Jun 2, 2017 at 2:46 PM, Peter Dolan
>>> <[email protected]>
>>> wrote:
>>>
>>> > Just created https://issues.apache.org/jira/browse/AIRFLOW-1273,
>>> > https://issues.apache.org/jira/browse/AIRFLOW-1272, and
>>> > https://issues.apache.org/jira/browse/AIRFLOW-1271. We'll follow up
>>> with
>>> > pull requests in the coming weeks.
>>> >
>>> > On Thu, Jun 1, 2017 at 10:44 AM Peter Dolan <[email protected]>
>>> wrote:
>>> >
>>> >> Hi Bolke,
>>> >>
>>> >> Great! And yes, we will be able to maintain these operators after the
>>> >> contributions. We further would always insist on strong test coverage
>>> as
>>> >> well.
>>> >>
>>> >> I'll open some JIRA tickets to track their implementation.
>>> >>
>>> >> Thanks,
>>> >> Peter
>>> >>
>>> >> On Thu, Jun 1, 2017 at 6:05 AM Bolke de Bruin <[email protected]>
>>> wrote:
>>> >>
>>> >>> Hi Peter,
>>> >>>
>>> >>> That sounds great! I think the main criteria for this is will you
>>> >>> maintain the code afterwards? The contrib section is slowly but
>>> steadily
>>> >>> growing and with operators/hooks we are particularly dependent on the
>>> >>> community as not all (or even none in some case) of the committers
>>> use
>>> >>> these themselves.
>>> >>>
>>> >>> In any case test coverage is required, but that is a given I think.
>>> >>>
>>> >>> Kind regards,
>>> >>> Bolke
>>> >>>
>>> >>> > On 31 May 2017, at 21:10, Peter Dolan
>>> <[email protected]>
>>> >>> wrote:
>>> >>> >
>>> >>> > Hello developers,
>>> >>> >
>>> >>> > I work with Google Cloud ML, and my team and I are interested in
>>> >>> contributing a set of Operators to support working with the Cloud ML
>>> >>> platform. The platform supports using the TensorFlow deep neural
>>> network
>>> >>> framework as a managed system.
>>> >>> >
>>> >>> > In particular, we would like to contribute
>>> >>> >  * CloudMLTrainingOperator, which would launch and monitor a Cloud
>>> ML
>>> >>> Training Job (https://cloud.google.com/ml-e
>>> ngine/docs/how-tos/training-
>>> >>> jobs <https://cloud.google.com/ml-engine/docs/how-tos/training-jobs
>>> >),
>>> >>> >  * CloudMLBatchPredictionOperator, which would launch and monitor
>>> a
>>> >>> Cloud ML Batch Prediction Job (https://cloud.google.com/ml-
>>> >>> engine/docs/how-tos/batch-predict <https://cloud.google.com/ml-
>>> >>> engine/docs/how-tos/batch-predict>), and
>>> >>> >  * CloudMLVersionOperator, which can create, update, and delete
>>> >>> TensorFlow model versions (https://cloud.google.com/ml-
>>> >>> engine/docs/how-tos/managing-models-jobs <
>>> https://cloud.google.com/ml-
>>> >>> engine/docs/how-tos/managing-models-jobs>)
>>> >>> >
>>> >>> > I'm eager to hear if the Airflow project is open to these
>>> >>> contributions, and if any changes are suggested. We have working
>>> prototype
>>> >>> versions of all of them.
>>> >>> >
>>> >>> > Thanks in advance,
>>> >>> > Peter
>>> >>>
>>> >>>
>>>
>>
>

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