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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.ModelVersion

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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
pulumi/pulumi-azure-native

    Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01. Prior API version in Azure Native 1.x: 2021-03-01-preview.

    Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 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 Workspace Model Version.

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

return await Deployment.RunAsync(() => 
{
    var modelVersion = new AzureNative.MachineLearningServices.ModelVersion("modelVersion", new()
    {
        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" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        Version = "string",
        WorkspaceName = "my-aml-workspace",
    });

});

    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.NewModelVersion(ctx, "modelVersion", &machinelearningservices.ModelVersionArgs{
			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"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			Version:           pulumi.String("string"),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		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.ModelVersion;
import com.pulumi.azurenative.machinelearningservices.ModelVersionArgs;
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 modelVersion = new ModelVersion("modelVersion", ModelVersionArgs.builder()
            .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())
            .name("string")
            .resourceGroupName("test-rg")
            .version("string")
            .workspaceName("my-aml-workspace")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

model_version = azure_native.machinelearningservices.ModelVersion("modelVersion",
    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",
        },
    },
    name="string",
    resource_group_name="test-rg",
    version="string",
    workspace_name="my-aml-workspace")

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

const modelVersion = new azure_native.machinelearningservices.ModelVersion("modelVersion", {
    modelVersionProperties: {
        description: "string",
        flavors: {
            string: {
                data: {
                    string: "string",
                },
            },
        },
        isAnonymous: false,
        modelType: "CustomModel",
        modelUri: "string",
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    name: "string",
    resourceGroupName: "test-rg",
    version: "string",
    workspaceName: "my-aml-workspace",
});

    resources:
  modelVersion:
    type: azure-native:machinelearningservices:ModelVersion
    properties:
      modelVersionProperties:
        description: string
        flavors:
          string:
            data:
              string: string
        isAnonymous: false
        modelType: CustomModel
        modelUri: string
        properties:
          string: string
        tags:
          string: string
      name: string
      resourceGroupName: test-rg
      version: string
      workspaceName: my-aml-workspace

    Create ModelVersion Resource

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

    Constructor syntax

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

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

    type: azure-native:machinelearningservices:ModelVersion
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 ModelVersionArgs
    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 ModelVersionInitArgs
    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 ModelVersionArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ModelVersionArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ModelVersionArgs
    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 modelVersionResource = new AzureNative.MachineLearningServices.ModelVersion("modelVersionResource", new()
{
    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" },
        },
    },
    Name = "string",
    ResourceGroupName = "string",
    WorkspaceName = "string",
    Version = "string",
});

    example, err := machinelearningservices.NewModelVersion(ctx, "modelVersionResource", &machinelearningservices.ModelVersionArgs{
	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"),
		},
	},
	Name:              pulumi.String("string"),
	ResourceGroupName: pulumi.String("string"),
	WorkspaceName:     pulumi.String("string"),
	Version:           pulumi.String("string"),
})

    var modelVersionResource = new ModelVersion("modelVersionResource", ModelVersionArgs.builder()
    .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())
    .name("string")
    .resourceGroupName("string")
    .workspaceName("string")
    .version("string")
    .build());

    model_version_resource = azure_native.machinelearningservices.ModelVersion("modelVersionResource",
    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",
        },
    },
    name="string",
    resource_group_name="string",
    workspace_name="string",
    version="string")

    const modelVersionResource = new azure_native.machinelearningservices.ModelVersion("modelVersionResource", {
    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",
        },
    },
    name: "string",
    resourceGroupName: "string",
    workspaceName: "string",
    version: "string",
});

    type: azure-native:machinelearningservices:ModelVersion
properties:
    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
    name: string
    resourceGroupName: string
    version: string
    workspaceName: string

    ModelVersion 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 ModelVersion resource accepts the following input properties:

    ModelVersionProperties Pulumi.AzureNative.MachineLearningServices.Inputs.ModelVersion
    [Required] Additional attributes of the entity.
    Name string
    Container name. This is case-sensitive.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Version string
    Version identifier. This is case-sensitive.
    ModelVersionProperties ModelVersionTypeArgs
    [Required] Additional attributes of the entity.
    Name string
    Container name. This is case-sensitive.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Version string
    Version identifier. This is case-sensitive.
    modelVersionProperties ModelVersion
    [Required] Additional attributes of the entity.
    name String
    Container name. This is case-sensitive.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    version String
    Version identifier. This is case-sensitive.
    modelVersionProperties ModelVersion
    [Required] Additional attributes of the entity.
    name string
    Container name. This is case-sensitive.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    version string
    Version identifier. This is case-sensitive.
    model_version_properties ModelVersionArgs
    [Required] Additional attributes of the entity.
    name str
    Container name. This is case-sensitive.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    version str
    Version identifier. This is case-sensitive.
    modelVersionProperties Property Map
    [Required] Additional attributes of the entity.
    name String
    Container name. This is case-sensitive.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    version String
    Version identifier. This is case-sensitive.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed 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.
    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.
    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.
    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.
    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.
    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 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 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 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 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 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 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:ModelVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/models/{name}/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
    azure-native logo
    This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
    Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
    pulumi/pulumi-azure-native