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# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from azure.identity import DefaultAzureCredential
from azure.mgmt.machinelearningservices import MachineLearningServicesMgmtClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-machinelearningservices
# USAGE
python update.py
Before run the sample, please set the values of the client ID, tenant ID and client secret
of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""
def main():
client = MachineLearningServicesMgmtClient(
credential=DefaultAzureCredential(),
subscription_id="00000000-1111-2222-3333-444444444444",
)
response = client.online_deployments.begin_update(
resource_group_name="test-rg",
workspace_name="my-aml-workspace",
endpoint_name="testEndpointName",
deployment_name="testDeploymentName",
body={
"sku": {"capacity": 1, "family": "string", "name": "string", "size": "string", "tier": "Free"},
"tags": {},
},
).result()
print(response)
# x-ms-original-file: specification/machinelearningservices/resource-manager/Microsoft.MachineLearningServices/stable/2023-04-01/examples/OnlineDeployment/KubernetesOnlineDeployment/update.json
if __name__ == "__main__":
main()
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