where are registered models in azure machine learning

Question

I try to use azuremlsdk to deploy a locally trained model (a perfectly valid use case AFIK). I follow this and managed to create a ML workspace and register a "model" like so:

library(azuremlsdk)

interactive_auth <- interactive_login_authentication(tenant_id="xxx")
ws <- get_workspace(
        name = "xxx", 
        subscription_id = "xxx", 
        resource_group ="xxx", 
        auth = interactive_auth
)

add <- function(a, b) {
    return(a + b)
}

add(1,2)

saveRDS(add, file = "D:/add.rds")

model <- register_model(
    ws, 
    model_path = "D:/add.rds", 
    model_name = "add_model",
    description = "An amazing model"
)

This seemed to work fine, as I get some nice log messages telling me that the model was registered. For my sanity, I wonder where can I find this registered ("materialised") model/object/function in the Azure UI please?

Answer 1

On ml.azure.com, there is a "Models" option on the left-hand blade.