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This repository has been archived by the owner on Jun 29, 2019. It is now read-only.
Step 4. Use the CLI to deploy and manage your web service
mentions to create a cluster in Step (1) below...but I already have a resource group.
(1) Create the environment (you need to do this once per environment e.g. dev or prod)
az ml env setup -c -n --location <e.g. eastus2>
(2) Create a Model Management account (one time setup)
az ml account modelmanagement create --location <e.g. eastus2> -n -g
(3) Set the Model Management account
az ml account modelmanagement set -n -g
(4) Set the environment. The cluster name is the name used in step 1 above. The resource group name was the output of the same process and would be in the command window when the setup process is completed.
az ml env set -n -g
Questions
(1) How can I reuse the resource group and check if clusters already exist?
(2) Using the command you mention, what is a cluster being created...what resources are created?
(3) What is the relation between a cluster and the model management account?
(4) Do both the cluster and the model management account need to be in the same location?
The text was updated successfully, but these errors were encountered:
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Hi, it this notebook,
https://github.com/Azure/Machine-Learning-Operationalization/blob/master/samples/python/tutorials/realtime/digit_classification.ipynb
Step 4. Use the CLI to deploy and manage your web service
mentions to create a cluster in Step (1) below...but I already have a resource group.
(1) Create the environment (you need to do this once per environment e.g. dev or prod)
az ml env setup -c -n --location <e.g. eastus2>
(2) Create a Model Management account (one time setup)
az ml account modelmanagement create --location <e.g. eastus2> -n -g
(3) Set the Model Management account
az ml account modelmanagement set -n -g
(4) Set the environment. The cluster name is the name used in step 1 above. The resource group name was the output of the same process and would be in the command window when the setup process is completed.
az ml env set -n -g
Questions
(1) How can I reuse the resource group and check if clusters already exist?
(2) Using the command you mention, what is a cluster being created...what resources are created?
(3) What is the relation between a cluster and the model management account?
(4) Do both the cluster and the model management account need to be in the same location?
The text was updated successfully, but these errors were encountered: