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  5. ModelContainer
This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.42.1 published on Wednesday, May 22, 2024 by Pulumi

azure-native.machinelearningservices.ModelContainer

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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 v2.42.1 published on Wednesday, May 22, 2024 by Pulumi

    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.

    Example Usage

    CreateOrUpdate Workspace Model Container.

    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using AzureNative = Pulumi.AzureNative;
    
    return await Deployment.RunAsync(() => 
    {
        var modelContainer = new AzureNative.MachineLearningServices.ModelContainer("modelContainer", new()
        {
            ModelContainerProperties = new AzureNative.MachineLearningServices.Inputs.ModelContainerArgs
            {
                Description = "Model container description",
                Tags = 
                {
                    { "tag1", "value1" },
                    { "tag2", "value2" },
                },
            },
            Name = "testContainer",
            ResourceGroupName = "testrg123",
            WorkspaceName = "workspace123",
        });
    
    });
    
    package main
    
    import (
    	"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.NewModelContainer(ctx, "modelContainer", &machinelearningservices.ModelContainerArgs{
    			ModelContainerProperties: &machinelearningservices.ModelContainerTypeArgs{
    				Description: pulumi.String("Model container description"),
    				Tags: pulumi.StringMap{
    					"tag1": pulumi.String("value1"),
    					"tag2": pulumi.String("value2"),
    				},
    			},
    			Name:              pulumi.String("testContainer"),
    			ResourceGroupName: pulumi.String("testrg123"),
    			WorkspaceName:     pulumi.String("workspace123"),
    		})
    		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.ModelContainer;
    import com.pulumi.azurenative.machinelearningservices.ModelContainerArgs;
    import com.pulumi.azurenative.machinelearningservices.inputs.ModelContainerArgs;
    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 modelContainer = new ModelContainer("modelContainer", ModelContainerArgs.builder()
                .modelContainerProperties(ModelContainerArgs.builder()
                    .description("Model container description")
                    .tags(Map.ofEntries(
                        Map.entry("tag1", "value1"),
                        Map.entry("tag2", "value2")
                    ))
                    .build())
                .name("testContainer")
                .resourceGroupName("testrg123")
                .workspaceName("workspace123")
                .build());
    
        }
    }
    
    import pulumi
    import pulumi_azure_native as azure_native
    
    model_container = azure_native.machinelearningservices.ModelContainer("modelContainer",
        model_container_properties=azure_native.machinelearningservices.ModelContainerArgs(
            description="Model container description",
            tags={
                "tag1": "value1",
                "tag2": "value2",
            },
        ),
        name="testContainer",
        resource_group_name="testrg123",
        workspace_name="workspace123")
    
    import * as pulumi from "@pulumi/pulumi";
    import * as azure_native from "@pulumi/azure-native";
    
    const modelContainer = new azure_native.machinelearningservices.ModelContainer("modelContainer", {
        modelContainerProperties: {
            description: "Model container description",
            tags: {
                tag1: "value1",
                tag2: "value2",
            },
        },
        name: "testContainer",
        resourceGroupName: "testrg123",
        workspaceName: "workspace123",
    });
    
    resources:
      modelContainer:
        type: azure-native:machinelearningservices:ModelContainer
        properties:
          modelContainerProperties:
            description: Model container description
            tags:
              tag1: value1
              tag2: value2
          name: testContainer
          resourceGroupName: testrg123
          workspaceName: workspace123
    

    Create ModelContainer Resource

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

    Constructor syntax

    new ModelContainer(name: string, args: ModelContainerArgs, opts?: CustomResourceOptions);
    @overload
    def ModelContainer(resource_name: str,
                       args: ModelContainerInitArgs,
                       opts: Optional[ResourceOptions] = None)
    
    @overload
    def ModelContainer(resource_name: str,
                       opts: Optional[ResourceOptions] = None,
                       model_container_properties: Optional[ModelContainerArgs] = None,
                       resource_group_name: Optional[str] = None,
                       workspace_name: Optional[str] = None,
                       name: Optional[str] = None)
    func NewModelContainer(ctx *Context, name string, args ModelContainerArgs, opts ...ResourceOption) (*ModelContainer, error)
    public ModelContainer(string name, ModelContainerArgs args, CustomResourceOptions? opts = null)
    public ModelContainer(String name, ModelContainerArgs args)
    public ModelContainer(String name, ModelContainerArgs args, CustomResourceOptions options)
    
    type: azure-native:machinelearningservices:ModelContainer
    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 ModelContainerArgs
    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 ModelContainerInitArgs
    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 ModelContainerArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ModelContainerArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ModelContainerArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

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

    var modelContainerResource = new AzureNative.MachineLearningServices.ModelContainer("modelContainerResource", new()
    {
        ModelContainerProperties = new AzureNative.MachineLearningServices.Inputs.ModelContainerArgs
        {
            Description = "string",
            IsArchived = false,
            Properties = 
            {
                { "string", "string" },
            },
            Tags = 
            {
                { "string", "string" },
            },
        },
        ResourceGroupName = "string",
        WorkspaceName = "string",
        Name = "string",
    });
    
    example, err := machinelearningservices.NewModelContainer(ctx, "modelContainerResource", &machinelearningservices.ModelContainerArgs{
    ModelContainerProperties: &machinelearningservices.ModelContainerTypeArgs{
    Description: pulumi.String("string"),
    IsArchived: pulumi.Bool(false),
    Properties: pulumi.StringMap{
    "string": pulumi.String("string"),
    },
    Tags: pulumi.StringMap{
    "string": pulumi.String("string"),
    },
    },
    ResourceGroupName: pulumi.String("string"),
    WorkspaceName: pulumi.String("string"),
    Name: pulumi.String("string"),
    })
    
    var modelContainerResource = new ModelContainer("modelContainerResource", ModelContainerArgs.builder()        
        .modelContainerProperties(ModelContainerArgs.builder()
            .description("string")
            .isArchived(false)
            .properties(Map.of("string", "string"))
            .tags(Map.of("string", "string"))
            .build())
        .resourceGroupName("string")
        .workspaceName("string")
        .name("string")
        .build());
    
    model_container_resource = azure_native.machinelearningservices.ModelContainer("modelContainerResource",
        model_container_properties=azure_native.machinelearningservices.ModelContainerArgs(
            description="string",
            is_archived=False,
            properties={
                "string": "string",
            },
            tags={
                "string": "string",
            },
        ),
        resource_group_name="string",
        workspace_name="string",
        name="string")
    
    const modelContainerResource = new azure_native.machinelearningservices.ModelContainer("modelContainerResource", {
        modelContainerProperties: {
            description: "string",
            isArchived: false,
            properties: {
                string: "string",
            },
            tags: {
                string: "string",
            },
        },
        resourceGroupName: "string",
        workspaceName: "string",
        name: "string",
    });
    
    type: azure-native:machinelearningservices:ModelContainer
    properties:
        modelContainerProperties:
            description: string
            isArchived: false
            properties:
                string: string
            tags:
                string: string
        name: string
        resourceGroupName: string
        workspaceName: string
    

    ModelContainer Resource Properties

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

    Inputs

    The ModelContainer resource accepts the following input properties:

    ModelContainerProperties Pulumi.AzureNative.MachineLearningServices.Inputs.ModelContainer
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Name string
    Container name. This is case-sensitive.
    ModelContainerProperties ModelContainerTypeArgs
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Name string
    Container name. This is case-sensitive.
    modelContainerProperties ModelContainer
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    name String
    Container name. This is case-sensitive.
    modelContainerProperties ModelContainer
    [Required] Additional attributes of the entity.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    name string
    Container name. This is case-sensitive.
    model_container_properties ModelContainerArgs
    [Required] Additional attributes of the entity.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    name str
    Container name. This is case-sensitive.
    modelContainerProperties Property Map
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    name String
    Container name. This is case-sensitive.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the ModelContainer 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

    ModelContainer, ModelContainerArgs

    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    description string
    The asset description text.
    isArchived boolean
    Is the asset archived?
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    description str
    The asset description text.
    is_archived bool
    Is the asset archived?
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    ModelContainerResponse, ModelContainerResponseArgs

    LatestVersion string
    The latest version inside this container.
    NextVersion string
    The next auto incremental version
    ProvisioningState string
    Provisioning state for the model container.
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    LatestVersion string
    The latest version inside this container.
    NextVersion string
    The next auto incremental version
    ProvisioningState string
    Provisioning state for the model container.
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    latestVersion String
    The latest version inside this container.
    nextVersion String
    The next auto incremental version
    provisioningState String
    Provisioning state for the model container.
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    latestVersion string
    The latest version inside this container.
    nextVersion string
    The next auto incremental version
    provisioningState string
    Provisioning state for the model container.
    description string
    The asset description text.
    isArchived boolean
    Is the asset archived?
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    latest_version str
    The latest version inside this container.
    next_version str
    The next auto incremental version
    provisioning_state str
    Provisioning state for the model container.
    description str
    The asset description text.
    is_archived bool
    Is the asset archived?
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    latestVersion String
    The latest version inside this container.
    nextVersion String
    The next auto incremental version
    provisioningState String
    Provisioning state for the model container.
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String>
    The asset property dictionary.
    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:ModelContainer testContainer /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/models/{name} 
    

    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 v2.42.1 published on Wednesday, May 22, 2024 by Pulumi