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 ), * CloudMLBatchPredictionOperator, which would launch and monitor a Cloud ML Batch Prediction Job ( 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) 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
smime.p7s
Description: S/MIME Cryptographic Signature
