Microsoft.MachineLearningServices workspaces/models/versions 2022-10-01
Article 11/21/2024
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Bicep resource definition
The workspaces/models/versions resource type can be deployed with operations that target:
For a list of changed properties in each API version, see change log .
To create a Microsoft.MachineLearningServices/workspaces/models/versions resource, add the following Bicep to your template.
resource symbolicname 'Microsoft.MachineLearningServices/workspaces/models/versions@2022-10-01' = {
name: 'string'
properties: {
description: 'string'
flavors: {
{customized property}: {
data: {
{customized property}: 'string'
}
}
}
isAnonymous: bool
isArchived: bool
jobName: 'string'
modelType: 'string'
modelUri: 'string'
properties: {
{customized property}: 'string'
}
tags: {
{customized property}: 'string'
}
}
}
Property values
FlavorData
Name
Description
Value
data
Model flavor-specific data.
FlavorData
FlavorData
Microsoft.MachineLearningServices/workspaces/models/versions
Name
Description
Value
name
The resource name
string (required)
parent
In Bicep, you can specify the parent resource for a child resource. You only need to add this property when the child resource is declared outside of the parent resource. For more information, see Child resource outside parent resource .
Symbolic name for resource of type: workspaces/models
properties
[Required] Additional attributes of the entity.
ModelVersionProperties (required)
ModelVersionFlavors
ModelVersionProperties
Name
Description
Value
description
The asset description text.
string
flavors
Mapping of model flavors to their properties.
ModelVersionFlavors
isAnonymous
If the name version are system generated (anonymous registration).
bool
isArchived
Is the asset archived?
bool
jobName
Name of the training job which produced this model
string
modelType
The storage format for this entity. Used for NCD.
string
modelUri
The URI path to the model contents.
string
properties
The asset property dictionary.
ResourceBaseProperties
tags
Tag dictionary. Tags can be added, removed, and updated.
ResourceBaseTags
ResourceBaseProperties
ARM template resource definition
The workspaces/models/versions resource type can be deployed with operations that target:
For a list of changed properties in each API version, see change log .
To create a Microsoft.MachineLearningServices/workspaces/models/versions resource, add the following JSON to your template.
{
"type": "Microsoft.MachineLearningServices/workspaces/models/versions",
"apiVersion": "2022-10-01",
"name": "string",
"properties": {
"description": "string",
"flavors": {
"{customized property}": {
"data": {
"{customized property}": "string"
}
}
},
"isAnonymous": "bool",
"isArchived": "bool",
"jobName": "string",
"modelType": "string",
"modelUri": "string",
"properties": {
"{customized property}": "string"
},
"tags": {
"{customized property}": "string"
}
}
}
Property values
FlavorData
Name
Description
Value
data
Model flavor-specific data.
FlavorData
FlavorData
Microsoft.MachineLearningServices/workspaces/models/versions
Name
Description
Value
apiVersion
The api version
'2022-10-01'
name
The resource name
string (required)
properties
[Required] Additional attributes of the entity.
ModelVersionProperties (required)
type
The resource type
'Microsoft.MachineLearningServices/workspaces/models/versions'
ModelVersionFlavors
ModelVersionProperties
Name
Description
Value
description
The asset description text.
string
flavors
Mapping of model flavors to their properties.
ModelVersionFlavors
isAnonymous
If the name version are system generated (anonymous registration).
bool
isArchived
Is the asset archived?
bool
jobName
Name of the training job which produced this model
string
modelType
The storage format for this entity. Used for NCD.
string
modelUri
The URI path to the model contents.
string
properties
The asset property dictionary.
ResourceBaseProperties
tags
Tag dictionary. Tags can be added, removed, and updated.
ResourceBaseTags
ResourceBaseProperties
The workspaces/models/versions resource type can be deployed with operations that target:
For a list of changed properties in each API version, see change log .
To create a Microsoft.MachineLearningServices/workspaces/models/versions resource, add the following Terraform to your template.
resource "azapi_resource" "symbolicname" {
type = "Microsoft.MachineLearningServices/workspaces/models/versions@2022-10-01"
name = "string"
body = jsonencode({
properties = {
description = "string"
flavors = {
{customized property} = {
data = {
{customized property} = "string"
}
}
}
isAnonymous = bool
isArchived = bool
jobName = "string"
modelType = "string"
modelUri = "string"
properties = {
{customized property} = "string"
}
tags = {
{customized property} = "string"
}
}
})
}
Property values
FlavorData
Name
Description
Value
data
Model flavor-specific data.
FlavorData
FlavorData
Microsoft.MachineLearningServices/workspaces/models/versions
Name
Description
Value
name
The resource name
string (required)
parent_id
The ID of the resource that is the parent for this resource.
ID for resource of type: workspaces/models
properties
[Required] Additional attributes of the entity.
ModelVersionProperties (required)
type
The resource type
"Microsoft.MachineLearningServices/workspaces/models/versions@2022-10-01"
ModelVersionFlavors
ModelVersionProperties
Name
Description
Value
description
The asset description text.
string
flavors
Mapping of model flavors to their properties.
ModelVersionFlavors
isAnonymous
If the name version are system generated (anonymous registration).
bool
isArchived
Is the asset archived?
bool
jobName
Name of the training job which produced this model
string
modelType
The storage format for this entity. Used for NCD.
string
modelUri
The URI path to the model contents.
string
properties
The asset property dictionary.
ResourceBaseProperties
tags
Tag dictionary. Tags can be added, removed, and updated.
ResourceBaseTags
ResourceBaseProperties