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This template creates an Azure Machine Learning compute instance on behalf of another user with a sample inline setup script
此 Azure Resource Manager (ARM) 模板由社区的某个成员（而不是由 Microsoft）创建。每个 ARM 模板都根据其所有者（不是 Microsoft）的许可协议向你授予许可。Microsoft 不对由社区成员提供并授予许可的 ARM 模板负责，并且不针对安全性、兼容性和性能进行筛选。社区 ARM 模板不由任何 Microsoft 支持计划或服务提供支持，按“原样”提供，没有任何种类的担保。
参数
| 参数名 | 说明 |
|---|---|
| workspaceName | Specifies the name of the Azure Machine Learning workspace to which compute instance will be deployed |
| computeName | Specifies the name of the Azure Machine Learning compute instance to be deployed |
| location | Location of the Azure Machine Learning workspace. |
| vmSize | The VM size for compute instance |
| vnetResourceGroupName | Name of the resource group which holds the VNET to which you want to inject your compute instance in. |
| vnetName | Name of the vnet which you want to inject your compute instance in. |
| subnetName | Name of the subnet inside the VNET which you want to inject your compute instance in. |
| tenantId | AAD tenant id of the user to which compute instance is assigned to |
| objectId | AAD object id of the user to which compute instance is assigned to |
| inlineCommand | inline command |
| creationScript.cmdArguments | Specifies the cmd arguments of the creation script in the storage volume of the Compute Instance. |
使用模板
PowerShell
New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deployment安装和配置 Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-compute-create-computeinstance/azuredeploy.json
命令行
az group create --name <resource-group-name> --location <resource-group-location> #use this command when you need to create a new resource group for your deployment安装和配置 Azure 跨平台命令行界面
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-compute-create-computeinstance/azuredeploy.json