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Microsoft.MachineLearningServices workspaces/codes/versions 2024-10-01

Bicep resource definition

The workspaces/codes/versions resource type can be deployed with operations that target:

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.MachineLearningServices/workspaces/codes/versions resource, add the following Bicep to your template.

resource symbolicname 'Microsoft.MachineLearningServices/workspaces/codes/versions@2024-10-01' = {
  name: 'string'
  properties: {
    codeUri: 'string'
    description: 'string'
    isAnonymous: bool
    isArchived: bool
    properties: {
      {customized property}: 'string'
    }
    tags: {
      {customized property}: 'string'
    }
  }
}

Property values

CodeVersionProperties

Name Description Value
codeUri Uri where code is located string
description The asset description text. string
isAnonymous If the name version are system generated (anonymous registration). bool
isArchived Is the asset archived? bool
properties The asset property dictionary. ResourceBaseProperties
tags Tag dictionary. Tags can be added, removed, and updated. ResourceBaseTags

Microsoft.MachineLearningServices/workspaces/codes/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/codes
properties [Required] Additional attributes of the entity. CodeVersionProperties (required)

ResourceBaseProperties

Name Description Value

ResourceBaseTags

Name Description Value

Quickstart samples

The following quickstart samples deploy this resource type.

Bicep File Description
Create an Azure Machine Learning Sweep job This template creates an Azure Machine Learning Sweep job for hyperparameter tuning.

ARM template resource definition

The workspaces/codes/versions resource type can be deployed with operations that target:

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.MachineLearningServices/workspaces/codes/versions resource, add the following JSON to your template.

{
  "type": "Microsoft.MachineLearningServices/workspaces/codes/versions",
  "apiVersion": "2024-10-01",
  "name": "string",
  "properties": {
    "codeUri": "string",
    "description": "string",
    "isAnonymous": "bool",
    "isArchived": "bool",
    "properties": {
      "{customized property}": "string"
    },
    "tags": {
      "{customized property}": "string"
    }
  }
}

Property values

CodeVersionProperties

Name Description Value
codeUri Uri where code is located string
description The asset description text. string
isAnonymous If the name version are system generated (anonymous registration). bool
isArchived Is the asset archived? bool
properties The asset property dictionary. ResourceBaseProperties
tags Tag dictionary. Tags can be added, removed, and updated. ResourceBaseTags

Microsoft.MachineLearningServices/workspaces/codes/versions

Name Description Value
apiVersion The api version '2024-10-01'
name The resource name string (required)
properties [Required] Additional attributes of the entity. CodeVersionProperties (required)
type The resource type 'Microsoft.MachineLearningServices/workspaces/codes/versions'

ResourceBaseProperties

Name Description Value

ResourceBaseTags

Name Description Value

Quickstart templates

The following quickstart templates deploy this resource type.

Template Description
Create an Azure Machine Learning Sweep job

Deploy to Azure
This template creates an Azure Machine Learning Sweep job for hyperparameter tuning.

Terraform (AzAPI provider) resource definition

The workspaces/codes/versions resource type can be deployed with operations that target:

  • Resource groups

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.MachineLearningServices/workspaces/codes/versions resource, add the following Terraform to your template.

resource "azapi_resource" "symbolicname" {
  type = "Microsoft.MachineLearningServices/workspaces/codes/versions@2024-10-01"
  name = "string"
  body = jsonencode({
    properties = {
      codeUri = "string"
      description = "string"
      isAnonymous = bool
      isArchived = bool
      properties = {
        {customized property} = "string"
      }
      tags = {
        {customized property} = "string"
      }
    }
  })
}

Property values

CodeVersionProperties

Name Description Value
codeUri Uri where code is located string
description The asset description text. string
isAnonymous If the name version are system generated (anonymous registration). bool
isArchived Is the asset archived? bool
properties The asset property dictionary. ResourceBaseProperties
tags Tag dictionary. Tags can be added, removed, and updated. ResourceBaseTags

Microsoft.MachineLearningServices/workspaces/codes/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/codes
properties [Required] Additional attributes of the entity. CodeVersionProperties (required)
type The resource type "Microsoft.MachineLearningServices/workspaces/codes/versions@2024-10-01"

ResourceBaseProperties

Name Description Value

ResourceBaseTags

Name Description Value