Share via

Microsoft.MachineLearningServices workspaces/components/versions 2022-12-01-preview

  • Article

Bicep resource definition

The workspaces/components/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/components/versions resource, add the following Bicep to your template.

resource symbolicname 'Microsoft.MachineLearningServices/workspaces/components/versions@2022-12-01-preview' = {
  parent: resourceSymbolicName
  name: 'string'
  properties: {
    componentSpec: any(Azure.Bicep.Types.Concrete.AnyType)
    description: 'string'
    isAnonymous: bool
    isArchived: bool
    properties: {
      {customized property}: 'string'
    }
    tags: {
      {customized property}: 'string'
    }
  }
}

Property values

ComponentVersionProperties

Name Description Value
componentSpec Defines Component definition details.
<see href="/azure/machine-learning/reference-yaml-component-command" />		 any
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/components/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/components
properties [Required] Additional attributes of the entity. ComponentVersionProperties (required)

ResourceBaseProperties

Name Description Value

ResourceBaseTags

Name Description Value

ARM template resource definition

The workspaces/components/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/components/versions resource, add the following JSON to your template.

{
  "type": "Microsoft.MachineLearningServices/workspaces/components/versions",
  "apiVersion": "2022-12-01-preview",
  "name": "string",
  "properties": {
    "componentSpec": {},
    "description": "string",
    "isAnonymous": "bool",
    "isArchived": "bool",
    "properties": {
      "{customized property}": "string"
    },
    "tags": {
      "{customized property}": "string"
    }
  }
}

Property values

ComponentVersionProperties

Name Description Value
componentSpec Defines Component definition details.
<see href="/azure/machine-learning/reference-yaml-component-command" />		 any
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/components/versions

Name Description Value
apiVersion The api version '2022-12-01-preview'
name The resource name string (required)
properties [Required] Additional attributes of the entity. ComponentVersionProperties (required)
type The resource type 'Microsoft.MachineLearningServices/workspaces/components/versions'

ResourceBaseProperties

Name Description Value

ResourceBaseTags

Name Description Value

Terraform (AzAPI provider) resource definition

The workspaces/components/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/components/versions resource, add the following Terraform to your template.

resource "azapi_resource" "symbolicname" {
  type = "Microsoft.MachineLearningServices/workspaces/components/versions@2022-12-01-preview"
  name = "string"
  body = jsonencode({
    properties = {
      componentSpec = ?
      description = "string"
      isAnonymous = bool
      isArchived = bool
      properties = {
        {customized property} = "string"
      }
      tags = {
        {customized property} = "string"
      }
    }
  })
}

Property values

ComponentVersionProperties

Name Description Value
componentSpec Defines Component definition details.
<see href="/azure/machine-learning/reference-yaml-component-command" />		 any
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/components/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/components
properties [Required] Additional attributes of the entity. ComponentVersionProperties (required)
type The resource type "Microsoft.MachineLearningServices/workspaces/components/versions@2022-12-01-preview"

ResourceBaseProperties

Name Description Value

ResourceBaseTags

Name Description Value