Azure hurtig start-skabelonerne er i øjeblikket tilgængelige på engelsk
This template creates an Azure Machine Learning aks compute.
Denne ARM-skabelon (Azure Resource Manager) blev oprettet af et medlem af communityet og ikke af Microsoft. Hver ARM-skabelon er givet i licens til dig under en licensaftale med ejeren af skabelonen og ikke med Microsoft. Microsoft kan ikke gøres ansvarlig for de ARM-skabeloner, der leveres og gives i licens af communitymedlemmer, og vi undersøger dem ikke for sikkerhed, kompatibilitet eller ydeevne. ARM-skabeloner fra communytiet understøttes ikke af noget eller nogen Microsoft-supportprogram eller -tjeneste, og de stilles til rådighed, SOM DE ER, uden nogen former for garanti.
Parametre
Parameternavn | Beskrivelse |
---|---|
computeName | The exposed port for the compute instance. |
dnsServiceIP | The exposed port for the compute instance. |
vnetResourceGroupName | Name of the resource group which holds the VNET to which you want to inject your compute in. |
vnetName | Name of the vnet which you want to inject your compute in. |
subnetName | Name of the subnet inside the VNET which you want to inject your compute in. |
location | The exposed port for the compute instance. |
dockerBridgeCidr | The exposed port for the compute instance. |
serviceCidr | The exposed port for the compute instance. |
agentVmSize | The Azure VM size of the agent VM nodes. This cannot be changed once the cluster is created. |
agentCount | The number of agent nodes in the Container Service.. |
cert | The SSL cert data in PEM format encoded as base64 string |
key | The SSL key data in PEM format encoded as base64 string. |
cname | The CName of the cert. |
leafDomainLabel | The leaf domain label of public endpoint. |
overwriteExistingDomain | Value indicating whether to overwrite existing domain label. |
renew | Value indicating whether to renew certificate. |
sslStatus | SSL status. Allowed values are Enabled and Disabled. |
workspaceName | The exposed port for the compute instance. |
Brug skabelonen
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 deploymentInstallér og konfigurer 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-akscompute/azuredeploy.json
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 deploymentInstallér og konfigurer Azure-kommandolinjegrænsefladen til flere platforme
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-akscompute/azuredeploy.json