Creates an Azure Machine Learning web service in an existing resource group.
If a web service with the same name exists in the resource group, the call acts as an update operation and the existing web service is overwritten.
Examples
Example 1: Create a new service from a Json file based definition
Creates a new Azure Machine Learning web service named "mywebservicename" in the "myresourcegroup" group and South Central US region, based on the definition present in the referenced json file.
Example 2: Create a new service from an object instance
The region of the web service.
Enter an Azure data center region, such as "West US" or "Southeast Asia".
You can place a web service in any region that supports resources of that type.
The web service does not have to be in the same region your Azure subscription or the same region as its resource group.
Resource groups can contain web services from different regions.
To determine which regions support each resource type, use the Get-AzResourceProvider with the ProviderNamespace parameter cmdlet.
The resource group in which to place the web service.
Enter an Azure data center region, such as "West US" or "Southeast Asia".
You can place a web service in any region that supports resources of that type.
The web service does not have to be in the same region your Azure subscription or the same region as its resource group.
Resource groups can contain web services from different regions.
To determine which regions support each resource type, use the Get-AzResourceProvider with the ProviderNamespace parameter cmdlet.
This cmdlet supports the common parameters: -Debug, -ErrorAction, -ErrorVariable,
-InformationAction, -InformationVariable, -OutBuffer, -OutVariable, -PipelineVariable,
-ProgressAction, -Verbose, -WarningAction, and -WarningVariable. For more information, see
about_CommonParameters.