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Advanced template for Azure Machine Learning workspace

Sist oppdatert: 29.04.2021

A template that creates Azure Machine Learning workspace with private endpoints and resources behind VNET

Denne Azure Resource Manager (ARM)-malen ble opprettet av et medlem av fellesskapet og ikke av Microsoft. Hver ARM-mal er lisensiert til deg i henhold til en lisensavtale med eieren, ikke med Microsoft. Microsoft er ikke ansvarlig for ARM-maler som leveres og lisensieres av medlemmer og siler dem ikke ut med tanke på sikkerhet, kompatibilitet eller ytelse. Fellesskapets ARM-maler støttes ikke av noe Microsoft-støtteprogram eller -tjeneste, og er gjort tilgjengelig SOM DE ER, uten noen form for garanti.

Parametere

Parameternavn Beskrivelse
workspaceName Specifies the name of the Azure Machine Learning workspace.
location Specifies the location for workspace.
identityType Specifies the identity type of the Azure Machine Learning workspace.
primaryUserAssignedIdentityResourceGroup Specifies the resource group of user assigned identity that represents the Azure Machine Learing workspace.
primaryUserAssignedIdentityName Specifies the name of user assigned identity that represents the Azure Machine Learing workspace.
tagValues Tags for workspace, will also be populated if provisioning new dependent resources.
storageAccountOption Determines whether or not a new storage should be provisioned.
storageAccountName Name of the storage account.
storageAccountType (ingen beskrivelse tilgjengelig)
storageAccountBehindVNet Determines whether or not to put the storage account behind VNet
storageAccountResourceGroupName Resource group name of the storage account if using existing one
keyVaultOption Determines whether or not a new key vault should be provisioned.
keyVaultName Name of the key vault.
keyVaultBehindVNet Determines whether or not to put the storage account behind VNet
keyVaultResourceGroupName Resource group name of the key vault if using existing one
applicationInsightsOption Determines whether or not new ApplicationInsights should be provisioned.
applicationInsightsName Name of ApplicationInsights.
applicationInsightsResourceGroupName Resource group name of the application insights if using existing one.
containerRegistryOption Determines whether or not a new container registry should be provisioned.
containerRegistryName The container registry bind to the workspace.
containerRegistrySku (ingen beskrivelse tilgjengelig)
containerRegistryResourceGroupName Resource group name of the container registry if using existing one.
containerRegistryBehindVNet Determines whether or not to put container registry behind VNet.
vnetOption Determines whether or not a new VNet should be provisioned.
vnetName Name of the VNet
vnetResourceGroupName Resource group name of the VNET if using existing one.
vnetLocation Required if existing VNET location differs from workspace location
addressPrefixes Address prefix of the virtual network
subnetOption Determines whether or not a new subnet should be provisioned.
subnetName Name of the subnet
subnetPrefix Subnet prefix of the virtual network
adbWorkspace Azure Databrick workspace to be linked to the workspace
confidential_data Specifies that the Azure Machine Learning workspace holds highly confidential data.
encryption_status Specifies if the Azure Machine Learning workspace should be encrypted with customer managed key.
cmk_keyvault Specifies the customer managed keyVault arm id. Required when encryption is enabled
resource_cmk_uri Specifies if the customer managed keyvault key uri. Required when encryption is enabled
privateEndpointType (ingen beskrivelse tilgjengelig)
encryption_cosmosdb_armid Specifies customer managed cosmosDB for CMK workspace
encryption_storage_armid Specifies customer managed storage for CMK workspace
encryption_search_armid Specifies customer managed search for CMK workspace

Bruke malen

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
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json
Installere og konfigurere Azure PowerShell

Kommandolinje

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
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-advanced/azuredeploy.json
Installer og konfigurer Azures kommandolinjegrensesnitt for alle plattformer