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  5. RegistryModelVersion
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.RegistryModelVersion

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

    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.

    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 (
    	"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=azure_native.machinelearningservices.ModelVersionArgs(
            description="string",
            flavors={
                "string": azure_native.machinelearningservices.FlavorDataArgs(
                    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.

    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=azure_native.machinelearningservices.ModelVersionArgs(
            description="string",
            flavors={
                "string": azure_native.machinelearningservices.FlavorDataArgs(
                    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

    The RegistryModelVersion resource accepts the following input properties:

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