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  5. FeaturesetContainerEntity
This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.37.0 published on Monday, Apr 15, 2024 by Pulumi

azure-native.machinelearningservices.FeaturesetContainerEntity

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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 v2.37.0 published on Monday, Apr 15, 2024 by Pulumi

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

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

    Example Usage

    CreateOrUpdate Workspace Featureset Container.

    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using AzureNative = Pulumi.AzureNative;
    
    return await Deployment.RunAsync(() => 
    {
        var featuresetContainerEntity = new AzureNative.MachineLearningServices.FeaturesetContainerEntity("featuresetContainerEntity", new()
        {
            FeaturesetContainerProperties = new AzureNative.MachineLearningServices.Inputs.FeaturesetContainerArgs
            {
                Description = "string",
                IsArchived = false,
                Properties = 
                {
                    { "string", "string" },
                },
                Tags = 
                {
                    { "string", "string" },
                },
            },
            Name = "string",
            ResourceGroupName = "test-rg",
            WorkspaceName = "my-aml-workspace",
        });
    
    });
    
    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.NewFeaturesetContainerEntity(ctx, "featuresetContainerEntity", &machinelearningservices.FeaturesetContainerEntityArgs{
    			FeaturesetContainerProperties: &machinelearningservices.FeaturesetContainerArgs{
    				Description: pulumi.String("string"),
    				IsArchived:  pulumi.Bool(false),
    				Properties: pulumi.StringMap{
    					"string": pulumi.String("string"),
    				},
    				Tags: pulumi.StringMap{
    					"string": pulumi.String("string"),
    				},
    			},
    			Name:              pulumi.String("string"),
    			ResourceGroupName: pulumi.String("test-rg"),
    			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.FeaturesetContainerEntity;
    import com.pulumi.azurenative.machinelearningservices.FeaturesetContainerEntityArgs;
    import com.pulumi.azurenative.machinelearningservices.inputs.FeaturesetContainerArgs;
    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 featuresetContainerEntity = new FeaturesetContainerEntity("featuresetContainerEntity", FeaturesetContainerEntityArgs.builder()        
                .featuresetContainerProperties(FeaturesetContainerArgs.builder()
                    .description("string")
                    .isArchived(false)
                    .properties(Map.of("string", "string"))
                    .tags(Map.of("string", "string"))
                    .build())
                .name("string")
                .resourceGroupName("test-rg")
                .workspaceName("my-aml-workspace")
                .build());
    
        }
    }
    
    import pulumi
    import pulumi_azure_native as azure_native
    
    featureset_container_entity = azure_native.machinelearningservices.FeaturesetContainerEntity("featuresetContainerEntity",
        featureset_container_properties=azure_native.machinelearningservices.FeaturesetContainerArgs(
            description="string",
            is_archived=False,
            properties={
                "string": "string",
            },
            tags={
                "string": "string",
            },
        ),
        name="string",
        resource_group_name="test-rg",
        workspace_name="my-aml-workspace")
    
    import * as pulumi from "@pulumi/pulumi";
    import * as azure_native from "@pulumi/azure-native";
    
    const featuresetContainerEntity = new azure_native.machinelearningservices.FeaturesetContainerEntity("featuresetContainerEntity", {
        featuresetContainerProperties: {
            description: "string",
            isArchived: false,
            properties: {
                string: "string",
            },
            tags: {
                string: "string",
            },
        },
        name: "string",
        resourceGroupName: "test-rg",
        workspaceName: "my-aml-workspace",
    });
    
    resources:
      featuresetContainerEntity:
        type: azure-native:machinelearningservices:FeaturesetContainerEntity
        properties:
          featuresetContainerProperties:
            description: string
            isArchived: false
            properties:
              string: string
            tags:
              string: string
          name: string
          resourceGroupName: test-rg
          workspaceName: my-aml-workspace
    

    Create FeaturesetContainerEntity Resource

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

    Constructor syntax

    new FeaturesetContainerEntity(name: string, args: FeaturesetContainerEntityArgs, opts?: CustomResourceOptions);
    @overload
    def FeaturesetContainerEntity(resource_name: str,
                                  args: FeaturesetContainerEntityArgs,
                                  opts: Optional[ResourceOptions] = None)
    
    @overload
    def FeaturesetContainerEntity(resource_name: str,
                                  opts: Optional[ResourceOptions] = None,
                                  featureset_container_properties: Optional[FeaturesetContainerArgs] = None,
                                  resource_group_name: Optional[str] = None,
                                  workspace_name: Optional[str] = None,
                                  name: Optional[str] = None)
    func NewFeaturesetContainerEntity(ctx *Context, name string, args FeaturesetContainerEntityArgs, opts ...ResourceOption) (*FeaturesetContainerEntity, error)
    public FeaturesetContainerEntity(string name, FeaturesetContainerEntityArgs args, CustomResourceOptions? opts = null)
    public FeaturesetContainerEntity(String name, FeaturesetContainerEntityArgs args)
    public FeaturesetContainerEntity(String name, FeaturesetContainerEntityArgs args, CustomResourceOptions options)
    
    type: azure-native:machinelearningservices:FeaturesetContainerEntity
    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 FeaturesetContainerEntityArgs
    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 FeaturesetContainerEntityArgs
    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 FeaturesetContainerEntityArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args FeaturesetContainerEntityArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args FeaturesetContainerEntityArgs
    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 featuresetContainerEntityResource = new AzureNative.MachineLearningServices.FeaturesetContainerEntity("featuresetContainerEntityResource", new()
    {
        FeaturesetContainerProperties = new AzureNative.MachineLearningServices.Inputs.FeaturesetContainerArgs
        {
            Description = "string",
            IsArchived = false,
            Properties = 
            {
                { "string", "string" },
            },
            Tags = 
            {
                { "string", "string" },
            },
        },
        ResourceGroupName = "string",
        WorkspaceName = "string",
        Name = "string",
    });
    
    example, err := machinelearningservices.NewFeaturesetContainerEntity(ctx, "featuresetContainerEntityResource", &machinelearningservices.FeaturesetContainerEntityArgs{
    FeaturesetContainerProperties: &machinelearningservices.FeaturesetContainerArgs{
    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 featuresetContainerEntityResource = new FeaturesetContainerEntity("featuresetContainerEntityResource", FeaturesetContainerEntityArgs.builder()        
        .featuresetContainerProperties(FeaturesetContainerArgs.builder()
            .description("string")
            .isArchived(false)
            .properties(Map.of("string", "string"))
            .tags(Map.of("string", "string"))
            .build())
        .resourceGroupName("string")
        .workspaceName("string")
        .name("string")
        .build());
    
    featureset_container_entity_resource = azure_native.machinelearningservices.FeaturesetContainerEntity("featuresetContainerEntityResource",
        featureset_container_properties=azure_native.machinelearningservices.FeaturesetContainerArgs(
            description="string",
            is_archived=False,
            properties={
                "string": "string",
            },
            tags={
                "string": "string",
            },
        ),
        resource_group_name="string",
        workspace_name="string",
        name="string")
    
    const featuresetContainerEntityResource = new azure_native.machinelearningservices.FeaturesetContainerEntity("featuresetContainerEntityResource", {
        featuresetContainerProperties: {
            description: "string",
            isArchived: false,
            properties: {
                string: "string",
            },
            tags: {
                string: "string",
            },
        },
        resourceGroupName: "string",
        workspaceName: "string",
        name: "string",
    });
    
    type: azure-native:machinelearningservices:FeaturesetContainerEntity
    properties:
        featuresetContainerProperties:
            description: string
            isArchived: false
            properties:
                string: string
            tags:
                string: string
        name: string
        resourceGroupName: string
        workspaceName: string
    

    FeaturesetContainerEntity 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 FeaturesetContainerEntity resource accepts the following input properties:

    FeaturesetContainerProperties Pulumi.AzureNative.MachineLearningServices.Inputs.FeaturesetContainer
    [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.
    FeaturesetContainerProperties FeaturesetContainerArgs
    [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.
    featuresetContainerProperties FeaturesetContainer
    [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.
    featuresetContainerProperties FeaturesetContainer
    [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.
    featureset_container_properties FeaturesetContainerArgs
    [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.
    featuresetContainerProperties 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 FeaturesetContainerEntity 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

    FeaturesetContainer, FeaturesetContainerArgs

    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.

    FeaturesetContainerResponse, FeaturesetContainerResponseArgs

    LatestVersion string
    The latest version inside this container.
    NextVersion string
    The next auto incremental version
    ProvisioningState string
    Provisioning state for the featureset 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 featureset 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 featureset 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 featureset 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 featureset 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 featureset 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:FeaturesetContainerEntity string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featuresets/{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 v2.37.0 published on Monday, Apr 15, 2024 by Pulumi