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This template creates an Azure Machine Learning service.
Deze ARM-sjabloon (Azure Resource Manager) is gemaakt door een lid van de community, niet door Microsoft. Elke ARM-sjabloon wordt aan u in licentie gegeven onder een licentieovereenkomst van de eigenaar, niet van Microsoft. Microsoft is niet verantwoordelijk voor ARM-sjablonen die door communityleden worden verstrekt en in licentie worden gegeven, en test deze sjablonen ook niet op veiligheid, compatibiliteit of prestaties. ARM-sjablonen van de community worden onder geen enkel programma of geen enkele service van Microsoft ondersteund, en worden 'AS IS' beschikbaar gesteld, zonder enige vorm van garantie.
Parameters
| Parameternaam | Beschrijving |
|---|---|
| webserviceName | The name of the Azure Machine Learning Web Service. This resource will be created in the same resource group as the workspace. |
| workspaceName | The name of the Azure Machine Learning Workspace. |
| location | The location of the Azure Machine Learning Workspace. |
| environmentName | Name of Azure Machine Learning Environment for deployment. See https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-environments and https://docs.microsoft.com/en-us/azure/machine-learning/resource-curated-environments . |
| environmentVersion | Version of Azure Machine Learning Environment for deployment. |
| cpu | The default number of CPU cores to allocate for this Webservice. Can be a decimal. |
| cpuLimit | The max number of CPU cores this Webservice is allowed to use. Can be a decimal. |
| gpu | The number of gpu cores to allocate for this Webservice |
| memoryInGB | The amount of memory (in GB) to allocate for this Webservice. Can be a decimal. |
| driverProgram | Relative path of a file from storage account that contains the code to run for service. |
| models | Details of the models to be deployed. Each model must have the following properties: 'name'(name of the model), 'path'(relative path of a file from storage account linked to Workspace), 'mimeType'(MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml), 'framework'(framework of the model, use Custom if unsure) and 'frameworkVersion'(framework version of the model). |
| authEnabled | Whether or not to enable key auth for this Webservice. |
| tokenAuthEnabled | Whether or not to enable token auth for this Webservice. Only applicable when deploying to AKS. |
| primaryKey | A primary auth key to use for this Webservice. |
| secondaryKey | A secondary auth key to use for this Webservice. |
| scoringTimeoutMilliSeconds | A timeout to enforce for scoring calls to this Webservice. |
| appInsightsEnabled | Whether or not to enable AppInsights for this Webservice. |
De sjabloon gebruiken
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 deploymentAzure PowerShell installeren en configureren
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-service-create-aci/azuredeploy.json
Opdrachtregel
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 deploymentDe platformoverschrijdende Azure-opdrachregelinterface installeren en configureren
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-service-create-aci/azuredeploy.json