Templat Azure Quickstart saat ini tersedia dalam bahasa Inggris
This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.
Templat Azure Resource Manager ini dibuat oleh anggota komunitas dan bukan oleh Microsoft. Setiap templat Resource Manager dilisensikan kepada Anda berdasarkan perjanjian lisensi oleh pemiliknya, bukan Microsoft. Microsoft tidak bertanggung jawab atas templat Resource Manager yang disediakan dan dilisensikan oleh anggota komunitas dan tidak menyaring keamanan, kompatibilitas, atau performa. Templat Community Resource Manager tidak didukung di bawah program atau layanan dukungan Microsoft apa pun, dan tersedia SEBAGAIMANA ADANYA tanpa jaminan apa pun.
Parameter
| Nama Parameter | Deskripsi |
|---|---|
| prefix | Prefix for all resource names. |
| location | Azure region used for the deployment of all resources. |
| tags | Set of tags to apply to all resources. |
| vnetAddressPrefix | Virtual network address prefix |
| trainingSubnetPrefix | Training subnet address prefix |
| scoringSubnetPrefix | Scoring subnet address prefix |
| azureBastionSubnetPrefix | Bastion subnet address prefix |
| deployJumphost | Deploy a Bastion jumphost to access the network-isolated environment? |
| dsvmJumpboxUsername | Jumphost virtual machine username |
| dsvmJumpboxPassword | Jumphost virtual machine password |
| amlComputePublicIp | Enable public IP for Azure Machine Learning compute nodes |
| amlComputeDefaultVmSize | VM size for the default compute cluster |
Menggunakan templat
Windows 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 deploymentMenginstal dan mengonfigurasi Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-end-to-end-secure-v1-legacy-mode/azuredeploy.json
Baris perintah
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 deploymentMenginstal dan Mengonfigurasi Azure Cross-Platform Command-Line Interface
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-end-to-end-secure-v1-legacy-mode/azuredeploy.json