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-engine/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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