AzureML Designer - batch execution endpoint

Question

Hi,

I am migrating something from classic Azure ML to the current Azure ML and I have been using the batch execution endpoint. . I know there are examples how to publish a real-time endpoint through the designer, but is it possible to publish a batch execution endpoint (which is what I have been using in classic Azure ML) through the designer interface?

I found this documentation online: https://learn.microsoft.com/en-us/azure/machine-learning/classic/migrate-rebuild-web-service
My pipeline don't have a 'trained model' though it only includes a single Execute Python script module, is there a way to get around that and publish a batch inference endpoint

Answer 1

@Anonymous Yes, in this case you would need a trained model to publish a pipeline. You could try the scenario to use a create python model module and then use your script to create an experiment and run. If it is successful I think you should be able to create a pipeline.