AzureML: I'm quite new to Azure, I'm creating a batch endpoint. I want to give a blob storage as input to the endpoint and also I want to use the default blob storage in my score.py file. Can I do that and if not what is a workaround for that?
AzureML: I'm quite new to Azure, I'm creating a batch endpoint. I want to give a blob storage as input to the endpoint and also I want to use the default blob storage in my score.py file. Can I do that and if not what is a workaround for that?
My setup looks like this, I have the reference data in my default blobstorage, I want the user input to be stored in a separate blob storage, and that should be used as input to the batch endpoint. Since, I also need the reference data to create input to my Siamese network I want to fetch data from the default blobstorage. Is it possible? Additionally, I want to trigger the batch endpoint automatically when the user input blob storage is updated via Azure function.