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  5. RegistryModelVersion
These are the docs for Azure Native v2. We recommenend using the latest version, Azure Native v3.
Azure Native v2 v2.90.0 published on Thursday, Mar 27, 2025 by Pulumi
pulumi/pulumi-azure-native

azure-native-v2.machinelearningservices.RegistryModelVersion

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These are the docs for Azure Native v2. We recommenend using the latest version, Azure Native v3.
Azure Native v2 v2.90.0 published on Thursday, Mar 27, 2025 by Pulumi
pulumi/pulumi-azure-native

Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01.

Other available API versions: 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview, 2024-10-01, 2024-10-01-preview.

Example Usage

CreateOrUpdate Registry Model Version.

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;

return await Deployment.RunAsync(() => 
{
    var registryModelVersion = new AzureNative.MachineLearningServices.RegistryModelVersion("registryModelVersion", new()
    {
        ModelName = "string",
        ModelVersionProperties = new AzureNative.MachineLearningServices.Inputs.ModelVersionArgs
        {
            Description = "string",
            Flavors = 
            {
                { "string", new AzureNative.MachineLearningServices.Inputs.FlavorDataArgs
                {
                    Data = 
                    {
                        { "string", "string" },
                    },
                } },
            },
            IsAnonymous = false,
            ModelType = "CustomModel",
            ModelUri = "string",
            Properties = 
            {
                { "string", "string" },
            },
            Tags = 
            {
                { "string", "string" },
            },
        },
        RegistryName = "my-aml-registry",
        ResourceGroupName = "test-rg",
        Version = "string",
    });

});
Copy
package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewRegistryModelVersion(ctx, "registryModelVersion", &machinelearningservices.RegistryModelVersionArgs{
			ModelName: pulumi.String("string"),
			ModelVersionProperties: &machinelearningservices.ModelVersionTypeArgs{
				Description: pulumi.String("string"),
				Flavors: machinelearningservices.FlavorDataMap{
					"string": &machinelearningservices.FlavorDataArgs{
						Data: pulumi.StringMap{
							"string": pulumi.String("string"),
						},
					},
				},
				IsAnonymous: pulumi.Bool(false),
				ModelType:   pulumi.String("CustomModel"),
				ModelUri:    pulumi.String("string"),
				Properties: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			RegistryName:      pulumi.String("my-aml-registry"),
			ResourceGroupName: pulumi.String("test-rg"),
			Version:           pulumi.String("string"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Copy
package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.RegistryModelVersion;
import com.pulumi.azurenative.machinelearningservices.RegistryModelVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.ModelVersionArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var registryModelVersion = new RegistryModelVersion("registryModelVersion", RegistryModelVersionArgs.builder()
            .modelName("string")
            .modelVersionProperties(ModelVersionArgs.builder()
                .description("string")
                .flavors(Map.of("string", Map.of("data", Map.of("string", "string"))))
                .isAnonymous(false)
                .modelType("CustomModel")
                .modelUri("string")
                .properties(Map.of("string", "string"))
                .tags(Map.of("string", "string"))
                .build())
            .registryName("my-aml-registry")
            .resourceGroupName("test-rg")
            .version("string")
            .build());

    }
}
Copy
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const registryModelVersion = new azure_native.machinelearningservices.RegistryModelVersion("registryModelVersion", {
    modelName: "string",
    modelVersionProperties: {
        description: "string",
        flavors: {
            string: {
                data: {
                    string: "string",
                },
            },
        },
        isAnonymous: false,
        modelType: "CustomModel",
        modelUri: "string",
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    registryName: "my-aml-registry",
    resourceGroupName: "test-rg",
    version: "string",
});
Copy
import pulumi
import pulumi_azure_native as azure_native

registry_model_version = azure_native.machinelearningservices.RegistryModelVersion("registryModelVersion",
    model_name="string",
    model_version_properties={
        "description": "string",
        "flavors": {
            "string": {
                "data": {
                    "string": "string",
                },
            },
        },
        "is_anonymous": False,
        "model_type": "CustomModel",
        "model_uri": "string",
        "properties": {
            "string": "string",
        },
        "tags": {
            "string": "string",
        },
    },
    registry_name="my-aml-registry",
    resource_group_name="test-rg",
    version="string")
Copy
resources:
  registryModelVersion:
    type: azure-native:machinelearningservices:RegistryModelVersion
    properties:
      modelName: string
      modelVersionProperties:
        description: string
        flavors:
          string:
            data:
              string: string
        isAnonymous: false
        modelType: CustomModel
        modelUri: string
        properties:
          string: string
        tags:
          string: string
      registryName: my-aml-registry
      resourceGroupName: test-rg
      version: string
Copy

Create RegistryModelVersion Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new RegistryModelVersion(name: string, args: RegistryModelVersionArgs, opts?: CustomResourceOptions);
@overload
def RegistryModelVersion(resource_name: str,
                         args: RegistryModelVersionArgs,
                         opts: Optional[ResourceOptions] = None)

@overload
def RegistryModelVersion(resource_name: str,
                         opts: Optional[ResourceOptions] = None,
                         model_name: Optional[str] = None,
                         model_version_properties: Optional[ModelVersionArgs] = None,
                         registry_name: Optional[str] = None,
                         resource_group_name: Optional[str] = None,
                         version: Optional[str] = None)
func NewRegistryModelVersion(ctx *Context, name string, args RegistryModelVersionArgs, opts ...ResourceOption) (*RegistryModelVersion, error)
public RegistryModelVersion(string name, RegistryModelVersionArgs args, CustomResourceOptions? opts = null)
public RegistryModelVersion(String name, RegistryModelVersionArgs args)
public RegistryModelVersion(String name, RegistryModelVersionArgs args, CustomResourceOptions options)

type: azure-native:machinelearningservices:RegistryModelVersion
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args This property is required. RegistryModelVersionArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. RegistryModelVersionArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args This property is required. RegistryModelVersionArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. RegistryModelVersionArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. RegistryModelVersionArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var registryModelVersionResource = new AzureNative.Machinelearningservices.RegistryModelVersion("registryModelVersionResource", new()
{
    ModelName = "string",
    ModelVersionProperties = 
    {
        { "description", "string" },
        { "flavors", 
        {
            { "string", 
            {
                { "data", 
                {
                    { "string", "string" },
                } },
            } },
        } },
        { "isAnonymous", false },
        { "isArchived", false },
        { "jobName", "string" },
        { "modelType", "string" },
        { "modelUri", "string" },
        { "properties", 
        {
            { "string", "string" },
        } },
        { "stage", "string" },
        { "tags", 
        {
            { "string", "string" },
        } },
    },
    RegistryName = "string",
    ResourceGroupName = "string",
    Version = "string",
});
Copy
example, err := machinelearningservices.NewRegistryModelVersion(ctx, "registryModelVersionResource", &machinelearningservices.RegistryModelVersionArgs{
	ModelName: "string",
	ModelVersionProperties: map[string]interface{}{
		"description": "string",
		"flavors": map[string]interface{}{
			"string": map[string]interface{}{
				"data": map[string]interface{}{
					"string": "string",
				},
			},
		},
		"isAnonymous": false,
		"isArchived":  false,
		"jobName":     "string",
		"modelType":   "string",
		"modelUri":    "string",
		"properties": map[string]interface{}{
			"string": "string",
		},
		"stage": "string",
		"tags": map[string]interface{}{
			"string": "string",
		},
	},
	RegistryName:      "string",
	ResourceGroupName: "string",
	Version:           "string",
})
Copy
var registryModelVersionResource = new RegistryModelVersion("registryModelVersionResource", RegistryModelVersionArgs.builder()
    .modelName("string")
    .modelVersionProperties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .registryName("string")
    .resourceGroupName("string")
    .version("string")
    .build());
Copy
registry_model_version_resource = azure_native.machinelearningservices.RegistryModelVersion("registryModelVersionResource",
    model_name=string,
    model_version_properties={
        description: string,
        flavors: {
            string: {
                data: {
                    string: string,
                },
            },
        },
        isAnonymous: False,
        isArchived: False,
        jobName: string,
        modelType: string,
        modelUri: string,
        properties: {
            string: string,
        },
        stage: string,
        tags: {
            string: string,
        },
    },
    registry_name=string,
    resource_group_name=string,
    version=string)
Copy
const registryModelVersionResource = new azure_native.machinelearningservices.RegistryModelVersion("registryModelVersionResource", {
    modelName: "string",
    modelVersionProperties: {
        description: "string",
        flavors: {
            string: {
                data: {
                    string: "string",
                },
            },
        },
        isAnonymous: false,
        isArchived: false,
        jobName: "string",
        modelType: "string",
        modelUri: "string",
        properties: {
            string: "string",
        },
        stage: "string",
        tags: {
            string: "string",
        },
    },
    registryName: "string",
    resourceGroupName: "string",
    version: "string",
});
Copy
type: azure-native:machinelearningservices:RegistryModelVersion
properties:
    modelName: string
    modelVersionProperties:
        description: string
        flavors:
            string:
                data:
                    string: string
        isAnonymous: false
        isArchived: false
        jobName: string
        modelType: string
        modelUri: string
        properties:
            string: string
        stage: string
        tags:
            string: string
    registryName: string
    resourceGroupName: string
    version: string
Copy

RegistryModelVersion Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The RegistryModelVersion resource accepts the following input properties:

ModelName
This property is required.
Changes to this property will trigger replacement.
string
Container name.
ModelVersionProperties This property is required. Pulumi.AzureNative.MachineLearningServices.Inputs.ModelVersion
[Required] Additional attributes of the entity.
RegistryName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning registry. This is case-insensitive
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
Version Changes to this property will trigger replacement. string
Version identifier.
ModelName
This property is required.
Changes to this property will trigger replacement.
string
Container name.
ModelVersionProperties This property is required. ModelVersionTypeArgs
[Required] Additional attributes of the entity.
RegistryName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning registry. This is case-insensitive
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
Version Changes to this property will trigger replacement. string
Version identifier.
modelName
This property is required.
Changes to this property will trigger replacement.
String
Container name.
modelVersionProperties This property is required. ModelVersion
[Required] Additional attributes of the entity.
registryName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning registry. This is case-insensitive
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. String
Version identifier.
modelName
This property is required.
Changes to this property will trigger replacement.
string
Container name.
modelVersionProperties This property is required. ModelVersion
[Required] Additional attributes of the entity.
registryName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning registry. This is case-insensitive
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. string
Version identifier.
model_name
This property is required.
Changes to this property will trigger replacement.
str
Container name.
model_version_properties This property is required. ModelVersionArgs
[Required] Additional attributes of the entity.
registry_name
This property is required.
Changes to this property will trigger replacement.
str
Name of Azure Machine Learning registry. This is case-insensitive
resource_group_name
This property is required.
Changes to this property will trigger replacement.
str
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. str
Version identifier.
modelName
This property is required.
Changes to this property will trigger replacement.
String
Container name.
modelVersionProperties This property is required. Property Map
[Required] Additional attributes of the entity.
registryName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning registry. This is case-insensitive
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. String
Version identifier.

Outputs

All input properties are implicitly available as output properties. Additionally, the RegistryModelVersion resource produces the following output properties:

Id string
The provider-assigned unique ID for this managed resource.
Name string
The name of the resource
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
Type string
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Id string
The provider-assigned unique ID for this managed resource.
Name string
The name of the resource
SystemData SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
Type string
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
id String
The provider-assigned unique ID for this managed resource.
name String
The name of the resource
systemData SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type String
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
id string
The provider-assigned unique ID for this managed resource.
name string
The name of the resource
systemData SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type string
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
id str
The provider-assigned unique ID for this managed resource.
name str
The name of the resource
system_data SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type str
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
id String
The provider-assigned unique ID for this managed resource.
name String
The name of the resource
systemData Property Map
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type String
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

Supporting Types

FlavorData
, FlavorDataArgs

Data Dictionary<string, string>
Model flavor-specific data.
Data map[string]string
Model flavor-specific data.
data Map<String,String>
Model flavor-specific data.
data {[key: string]: string}
Model flavor-specific data.
data Mapping[str, str]
Model flavor-specific data.
data Map<String>
Model flavor-specific data.

FlavorDataResponse
, FlavorDataResponseArgs

Data Dictionary<string, string>
Model flavor-specific data.
Data map[string]string
Model flavor-specific data.
data Map<String,String>
Model flavor-specific data.
data {[key: string]: string}
Model flavor-specific data.
data Mapping[str, str]
Model flavor-specific data.
data Map<String>
Model flavor-specific data.

ModelVersion
, ModelVersionArgs

Description string
The asset description text.
Flavors Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.FlavorData>
Mapping of model flavors to their properties.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
JobName string
Name of the training job which produced this model
ModelType string
The storage format for this entity. Used for NCD.
ModelUri string
The URI path to the model contents.
Properties Dictionary<string, string>
The asset property dictionary.
Stage string
Stage in the model lifecycle assigned to this model
Tags Dictionary<string, string>
Tag dictionary. Tags can be added, removed, and updated.
Description string
The asset description text.
Flavors map[string]FlavorData
Mapping of model flavors to their properties.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
JobName string
Name of the training job which produced this model
ModelType string
The storage format for this entity. Used for NCD.
ModelUri string
The URI path to the model contents.
Properties map[string]string
The asset property dictionary.
Stage string
Stage in the model lifecycle assigned to this model
Tags map[string]string
Tag dictionary. Tags can be added, removed, and updated.
description String
The asset description text.
flavors Map<String,FlavorData>
Mapping of model flavors to their properties.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
jobName String
Name of the training job which produced this model
modelType String
The storage format for this entity. Used for NCD.
modelUri String
The URI path to the model contents.
properties Map<String,String>
The asset property dictionary.
stage String
Stage in the model lifecycle assigned to this model
tags Map<String,String>
Tag dictionary. Tags can be added, removed, and updated.
description string
The asset description text.
flavors {[key: string]: FlavorData}
Mapping of model flavors to their properties.
isAnonymous boolean
If the name version are system generated (anonymous registration).
isArchived boolean
Is the asset archived?
jobName string
Name of the training job which produced this model
modelType string
The storage format for this entity. Used for NCD.
modelUri string
The URI path to the model contents.
properties {[key: string]: string}
The asset property dictionary.
stage string
Stage in the model lifecycle assigned to this model
tags {[key: string]: string}
Tag dictionary. Tags can be added, removed, and updated.
description str
The asset description text.
flavors Mapping[str, FlavorData]
Mapping of model flavors to their properties.
is_anonymous bool
If the name version are system generated (anonymous registration).
is_archived bool
Is the asset archived?
job_name str
Name of the training job which produced this model
model_type str
The storage format for this entity. Used for NCD.
model_uri str
The URI path to the model contents.
properties Mapping[str, str]
The asset property dictionary.
stage str
Stage in the model lifecycle assigned to this model
tags Mapping[str, str]
Tag dictionary. Tags can be added, removed, and updated.
description String
The asset description text.
flavors Map<Property Map>
Mapping of model flavors to their properties.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
jobName String
Name of the training job which produced this model
modelType String
The storage format for this entity. Used for NCD.
modelUri String
The URI path to the model contents.
properties Map<String>
The asset property dictionary.
stage String
Stage in the model lifecycle assigned to this model
tags Map<String>
Tag dictionary. Tags can be added, removed, and updated.

ModelVersionResponse
, ModelVersionResponseArgs

ProvisioningState This property is required. string
Provisioning state for the model version.
Description string
The asset description text.
Flavors Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.FlavorDataResponse>
Mapping of model flavors to their properties.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
JobName string
Name of the training job which produced this model
ModelType string
The storage format for this entity. Used for NCD.
ModelUri string
The URI path to the model contents.
Properties Dictionary<string, string>
The asset property dictionary.
Stage string
Stage in the model lifecycle assigned to this model
Tags Dictionary<string, string>
Tag dictionary. Tags can be added, removed, and updated.
ProvisioningState This property is required. string
Provisioning state for the model version.
Description string
The asset description text.
Flavors map[string]FlavorDataResponse
Mapping of model flavors to their properties.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
JobName string
Name of the training job which produced this model
ModelType string
The storage format for this entity. Used for NCD.
ModelUri string
The URI path to the model contents.
Properties map[string]string
The asset property dictionary.
Stage string
Stage in the model lifecycle assigned to this model
Tags map[string]string
Tag dictionary. Tags can be added, removed, and updated.
provisioningState This property is required. String
Provisioning state for the model version.
description String
The asset description text.
flavors Map<String,FlavorDataResponse>
Mapping of model flavors to their properties.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
jobName String
Name of the training job which produced this model
modelType String
The storage format for this entity. Used for NCD.
modelUri String
The URI path to the model contents.
properties Map<String,String>
The asset property dictionary.
stage String
Stage in the model lifecycle assigned to this model
tags Map<String,String>
Tag dictionary. Tags can be added, removed, and updated.
provisioningState This property is required. string
Provisioning state for the model version.
description string
The asset description text.
flavors {[key: string]: FlavorDataResponse}
Mapping of model flavors to their properties.
isAnonymous boolean
If the name version are system generated (anonymous registration).
isArchived boolean
Is the asset archived?
jobName string
Name of the training job which produced this model
modelType string
The storage format for this entity. Used for NCD.
modelUri string
The URI path to the model contents.
properties {[key: string]: string}
The asset property dictionary.
stage string
Stage in the model lifecycle assigned to this model
tags {[key: string]: string}
Tag dictionary. Tags can be added, removed, and updated.
provisioning_state This property is required. str
Provisioning state for the model version.
description str
The asset description text.
flavors Mapping[str, FlavorDataResponse]
Mapping of model flavors to their properties.
is_anonymous bool
If the name version are system generated (anonymous registration).
is_archived bool
Is the asset archived?
job_name str
Name of the training job which produced this model
model_type str
The storage format for this entity. Used for NCD.
model_uri str
The URI path to the model contents.
properties Mapping[str, str]
The asset property dictionary.
stage str
Stage in the model lifecycle assigned to this model
tags Mapping[str, str]
Tag dictionary. Tags can be added, removed, and updated.
provisioningState This property is required. String
Provisioning state for the model version.
description String
The asset description text.
flavors Map<Property Map>
Mapping of model flavors to their properties.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
jobName String
Name of the training job which produced this model
modelType String
The storage format for this entity. Used for NCD.
modelUri String
The URI path to the model contents.
properties Map<String>
The asset property dictionary.
stage String
Stage in the model lifecycle assigned to this model
tags Map<String>
Tag dictionary. Tags can be added, removed, and updated.

SystemDataResponse
, SystemDataResponseArgs

CreatedAt string
The timestamp of resource creation (UTC).
CreatedBy string
The identity that created the resource.
CreatedByType string
The type of identity that created the resource.
LastModifiedAt string
The timestamp of resource last modification (UTC)
LastModifiedBy string
The identity that last modified the resource.
LastModifiedByType string
The type of identity that last modified the resource.
CreatedAt string
The timestamp of resource creation (UTC).
CreatedBy string
The identity that created the resource.
CreatedByType string
The type of identity that created the resource.
LastModifiedAt string
The timestamp of resource last modification (UTC)
LastModifiedBy string
The identity that last modified the resource.
LastModifiedByType string
The type of identity that last modified the resource.
createdAt String
The timestamp of resource creation (UTC).
createdBy String
The identity that created the resource.
createdByType String
The type of identity that created the resource.
lastModifiedAt String
The timestamp of resource last modification (UTC)
lastModifiedBy String
The identity that last modified the resource.
lastModifiedByType String
The type of identity that last modified the resource.
createdAt string
The timestamp of resource creation (UTC).
createdBy string
The identity that created the resource.
createdByType string
The type of identity that created the resource.
lastModifiedAt string
The timestamp of resource last modification (UTC)
lastModifiedBy string
The identity that last modified the resource.
lastModifiedByType string
The type of identity that last modified the resource.
created_at str
The timestamp of resource creation (UTC).
created_by str
The identity that created the resource.
created_by_type str
The type of identity that created the resource.
last_modified_at str
The timestamp of resource last modification (UTC)
last_modified_by str
The identity that last modified the resource.
last_modified_by_type str
The type of identity that last modified the resource.
createdAt String
The timestamp of resource creation (UTC).
createdBy String
The identity that created the resource.
createdByType String
The type of identity that created the resource.
lastModifiedAt String
The timestamp of resource last modification (UTC)
lastModifiedBy String
The identity that last modified the resource.
lastModifiedByType String
The type of identity that last modified the resource.

Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:RegistryModelVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/registries/{registryName}/models/{modelName}/versions/{version}
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To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository
azure-native-v2 pulumi/pulumi-azure-native
License
Apache-2.0
These are the docs for Azure Native v2. We recommenend using the latest version, Azure Native v3.
Azure Native v2 v2.90.0 published on Thursday, Mar 27, 2025 by Pulumi
pulumi/pulumi-azure-native