Microsoft.MachineLearning workspaces 2019-10-01
Bicep resource definition
The workspaces resource type can be deployed to:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearning/workspaces resource, add the following Bicep to your template.
resource symbolicname 'Microsoft.MachineLearning/workspaces@2019-10-01' = {
name: 'string'
location: 'string'
tags: {
tagName1: 'tagValue1'
tagName2: 'tagValue2'
}
sku: {
name: 'string'
tier: 'string'
}
properties: {
keyVaultIdentifierId: 'string'
ownerEmail: 'string'
userStorageAccountId: 'string'
}
}
Property values
workspaces
Name | Description | Value |
---|---|---|
name | The resource name | string (required) Character limit: 1-260 Valid characters: Can't use: <>*%&:?+/\\ or control charactersCan't end with a space. |
location | The location of the resource. This cannot be changed after the resource is created. | string (required) |
tags | The tags of the resource. | Dictionary of tag names and values. See Tags in templates |
sku | The sku of the workspace. | Sku |
properties | The properties of the machine learning workspace. | WorkspaceProperties |
WorkspaceProperties
Name | Description | Value |
---|---|---|
keyVaultIdentifierId | The key vault identifier used for encrypted workspaces. | string |
ownerEmail | The email id of the owner for this workspace. | string (required) |
userStorageAccountId | The fully qualified arm id of the storage account associated with this workspace. | string (required) |
Sku
Name | Description | Value |
---|---|---|
name | Name of the sku | string |
tier | Tier of the sku like Basic or Enterprise | string |
ARM template resource definition
The workspaces resource type can be deployed to:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearning/workspaces resource, add the following JSON to your template.
{
"type": "Microsoft.MachineLearning/workspaces",
"apiVersion": "2019-10-01",
"name": "string",
"location": "string",
"tags": {
"tagName1": "tagValue1",
"tagName2": "tagValue2"
},
"sku": {
"name": "string",
"tier": "string"
},
"properties": {
"keyVaultIdentifierId": "string",
"ownerEmail": "string",
"userStorageAccountId": "string"
}
}
Property values
workspaces
Name | Description | Value |
---|---|---|
type | The resource type | 'Microsoft.MachineLearning/workspaces' |
apiVersion | The resource api version | '2019-10-01' |
name | The resource name | string (required) Character limit: 1-260 Valid characters: Can't use: <>*%&:?+/\\ or control charactersCan't end with a space. |
location | The location of the resource. This cannot be changed after the resource is created. | string (required) |
tags | The tags of the resource. | Dictionary of tag names and values. See Tags in templates |
sku | The sku of the workspace. | Sku |
properties | The properties of the machine learning workspace. | WorkspaceProperties |
WorkspaceProperties
Name | Description | Value |
---|---|---|
keyVaultIdentifierId | The key vault identifier used for encrypted workspaces. | string |
ownerEmail | The email id of the owner for this workspace. | string (required) |
userStorageAccountId | The fully qualified arm id of the storage account associated with this workspace. | string (required) |
Sku
Name | Description | Value |
---|---|---|
name | Name of the sku | string |
tier | Tier of the sku like Basic or Enterprise | string |
Terraform (AzAPI provider) resource definition
The workspaces resource type can be deployed to:
- Resource groups
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearning/workspaces resource, add the following Terraform to your template.
resource "azapi_resource" "symbolicname" {
type = "Microsoft.MachineLearning/workspaces@2019-10-01"
name = "string"
location = "string"
parent_id = "string"
tags = {
tagName1 = "tagValue1"
tagName2 = "tagValue2"
}
body = jsonencode({
properties = {
keyVaultIdentifierId = "string"
ownerEmail = "string"
userStorageAccountId = "string"
}
sku = {
name = "string"
tier = "string"
}
})
}
Property values
workspaces
Name | Description | Value |
---|---|---|
type | The resource type | "Microsoft.MachineLearning/workspaces@2019-10-01" |
name | The resource name | string (required) Character limit: 1-260 Valid characters: Can't use: <>*%&:?+/\\ or control charactersCan't end with a space. |
location | The location of the resource. This cannot be changed after the resource is created. | string (required) |
parent_id | To deploy to a resource group, use the ID of that resource group. | string (required) |
tags | The tags of the resource. | Dictionary of tag names and values. |
sku | The sku of the workspace. | Sku |
properties | The properties of the machine learning workspace. | WorkspaceProperties |
WorkspaceProperties
Name | Description | Value |
---|---|---|
keyVaultIdentifierId | The key vault identifier used for encrypted workspaces. | string |
ownerEmail | The email id of the owner for this workspace. | string (required) |
userStorageAccountId | The fully qualified arm id of the storage account associated with this workspace. | string (required) |
Sku
Name | Description | Value |
---|---|---|
name | Name of the sku | string |
tier | Tier of the sku like Basic or Enterprise | string |