I'm trying to deploy a ml model into production using mlflow. while in that process, I have registered the model to mlflow models. After that it created the cluster but then it was in pending state forever. when I checked the model events, I see a problem with https proxy, we have global init scripts which contain proxy information.
but databricks mentioned that global init scripts are not run on model serving created clusters.
Ref: https://docs.databricks.com/applications/mlflow/model-serving.html
so the only way for us to edit the cluster and add them but in that process we are getting an error "error: Cannot edit cluster created by ModelServing".
In the "Model Events page", I see the following logs,
[Errno 101] Network is unreachable',)': /simple/mlflow/ WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7f258247f710>: Failed to establish a new connection:can anyone help us what is the solution to this ?
