azure-native.machinelearningservices.RegistryModelVersion
Explore with Pulumi AI
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",
});
});
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
})
}
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());
}
}
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")
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",
});
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
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 string
- The unique name of the resource.
- args RegistryModelVersionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args 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 string
- The unique name of the resource.
- args RegistryModelVersionArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args RegistryModelVersionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args 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 = new AzureNative.MachineLearningServices.Inputs.ModelVersionArgs
{
Description = "string",
Flavors =
{
{ "string", new AzureNative.MachineLearningServices.Inputs.FlavorDataArgs
{
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",
});
example, err := machinelearningservices.NewRegistryModelVersion(ctx, "registryModelVersionResource", &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),
IsArchived: pulumi.Bool(false),
JobName: pulumi.String("string"),
ModelType: pulumi.String("string"),
ModelUri: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Stage: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
RegistryName: pulumi.String("string"),
ResourceGroupName: pulumi.String("string"),
Version: pulumi.String("string"),
})
var registryModelVersionResource = new RegistryModelVersion("registryModelVersionResource", RegistryModelVersionArgs.builder()
.modelName("string")
.modelVersionProperties(ModelVersionArgs.builder()
.description("string")
.flavors(Map.of("string", Map.of("data", Map.of("string", "string"))))
.isAnonymous(false)
.isArchived(false)
.jobName("string")
.modelType("string")
.modelUri("string")
.properties(Map.of("string", "string"))
.stage("string")
.tags(Map.of("string", "string"))
.build())
.registryName("string")
.resourceGroupName("string")
.version("string")
.build());
registry_model_version_resource = azure_native.machinelearningservices.RegistryModelVersion("registryModelVersionResource",
model_name="string",
model_version_properties={
"description": "string",
"flavors": {
"string": {
"data": {
"string": "string",
},
},
},
"is_anonymous": False,
"is_archived": False,
"job_name": "string",
"model_type": "string",
"model_uri": "string",
"properties": {
"string": "string",
},
"stage": "string",
"tags": {
"string": "string",
},
},
registry_name="string",
resource_group_name="string",
version="string")
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",
});
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
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:
- Model
Name string - Container name.
- Model
Version Pulumi.Properties Azure Native. Machine Learning Services. Inputs. Model Version - [Required] Additional attributes of the entity.
- Registry
Name string - Name of Azure Machine Learning registry. This is case-insensitive
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Version string
- Version identifier.
- Model
Name string - Container name.
- Model
Version ModelProperties Version Type Args - [Required] Additional attributes of the entity.
- Registry
Name string - Name of Azure Machine Learning registry. This is case-insensitive
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Version string
- Version identifier.
- model
Name String - Container name.
- model
Version ModelProperties Version - [Required] Additional attributes of the entity.
- registry
Name String - Name of Azure Machine Learning registry. This is case-insensitive
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- version String
- Version identifier.
- model
Name string - Container name.
- model
Version ModelProperties Version - [Required] Additional attributes of the entity.
- registry
Name string - Name of Azure Machine Learning registry. This is case-insensitive
- resource
Group stringName - The name of the resource group. The name is case insensitive.
- version string
- Version identifier.
- model_
name str - Container name.
- model_
version_ Modelproperties Version Args - [Required] Additional attributes of the entity.
- registry_
name str - Name of Azure Machine Learning registry. This is case-insensitive
- resource_
group_ strname - The name of the resource group. The name is case insensitive.
- version str
- Version identifier.
- model
Name String - Container name.
- model
Version Property MapProperties - [Required] Additional attributes of the entity.
- registry
Name String - Name of Azure Machine Learning registry. This is case-insensitive
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- version 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
- System
Data Pulumi.Azure Native. Machine Learning Services. Outputs. System Data Response - 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
- System
Data SystemData Response - 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
- system
Data SystemData Response - 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
- system
Data SystemData Response - 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 SystemData Response - 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
- system
Data 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.
Azure Native. Machine Learning Services. Inputs. Flavor Data> - 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 string - Name of the training job which produced this model
- Model
Type string - The storage format for this entity. Used for NCD.
- Model
Uri 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
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Description string
- The asset description text.
- Flavors
map[string]Flavor
Data - 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 string - Name of the training job which produced this model
- Model
Type string - The storage format for this entity. Used for NCD.
- Model
Uri 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
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- description String
- The asset description text.
- flavors
Map<String,Flavor
Data> - Mapping of model flavors to their properties.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- job
Name String - Name of the training job which produced this model
- model
Type String - The storage format for this entity. Used for NCD.
- model
Uri 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
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- description string
- The asset description text.
- flavors
{[key: string]: Flavor
Data} - Mapping of model flavors to their properties.
- is
Anonymous boolean - If the name version are system generated (anonymous registration).
- is
Archived boolean - Is the asset archived?
- job
Name string - Name of the training job which produced this model
- model
Type string - The storage format for this entity. Used for NCD.
- model
Uri 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
- {[key: string]: string}
- Tag dictionary. Tags can be added, removed, and updated.
- description str
- The asset description text.
- flavors
Mapping[str, Flavor
Data] - 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
- 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.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- job
Name String - Name of the training job which produced this model
- model
Type String - The storage format for this entity. Used for NCD.
- model
Uri 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
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
ModelVersionResponse, ModelVersionResponseArgs
- Provisioning
State string - Provisioning state for the model version.
- Description string
- The asset description text.
- Flavors
Dictionary<string, Pulumi.
Azure Native. Machine Learning Services. Inputs. Flavor Data Response> - 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 string - Name of the training job which produced this model
- Model
Type string - The storage format for this entity. Used for NCD.
- Model
Uri 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
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Provisioning
State string - Provisioning state for the model version.
- Description string
- The asset description text.
- Flavors
map[string]Flavor
Data Response - 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 string - Name of the training job which produced this model
- Model
Type string - The storage format for this entity. Used for NCD.
- Model
Uri 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
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning
State String - Provisioning state for the model version.
- description String
- The asset description text.
- flavors
Map<String,Flavor
Data Response> - Mapping of model flavors to their properties.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- job
Name String - Name of the training job which produced this model
- model
Type String - The storage format for this entity. Used for NCD.
- model
Uri 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
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning
State string - Provisioning state for the model version.
- description string
- The asset description text.
- flavors
{[key: string]: Flavor
Data Response} - Mapping of model flavors to their properties.
- is
Anonymous boolean - If the name version are system generated (anonymous registration).
- is
Archived boolean - Is the asset archived?
- job
Name string - Name of the training job which produced this model
- model
Type string - The storage format for this entity. Used for NCD.
- model
Uri 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
- {[key: string]: string}
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning_
state str - Provisioning state for the model version.
- description str
- The asset description text.
- flavors
Mapping[str, Flavor
Data Response] - 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
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning
State String - Provisioning state for the model version.
- description String
- The asset description text.
- flavors Map<Property Map>
- Mapping of model flavors to their properties.
- is
Anonymous Boolean - If the name version are system generated (anonymous registration).
- is
Archived Boolean - Is the asset archived?
- job
Name String - Name of the training job which produced this model
- model
Type String - The storage format for this entity. Used for NCD.
- model
Uri 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
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
SystemDataResponse, SystemDataResponseArgs
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
- created
At string - The timestamp of resource creation (UTC).
- created
By string - The identity that created the resource.
- created
By stringType - The type of identity that created the resource.
- last
Modified stringAt - The timestamp of resource last modification (UTC)
- last
Modified stringBy - The identity that last modified the resource.
- last
Modified stringBy Type - 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_ strtype - The type of identity that created the resource.
- last_
modified_ strat - The timestamp of resource last modification (UTC)
- last_
modified_ strby - The identity that last modified the resource.
- last_
modified_ strby_ type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - 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}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Native pulumi/pulumi-azure-native
- License
- Apache-2.0