1. Packages
  2. Azure Native
  3. API Docs
  4. machinelearningservices
  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 v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

azure-native.machinelearningservices.FeaturesetContainerEntity

Explore with Pulumi AI

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 v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

    Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01-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 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(Map.ofEntries(
                    Map.entry("description", "string"),
                    Map.entry("isArchived", false),
                    Map.entry("properties", Map.of("string", "string")),
                    Map.entry("tags", Map.of("string", "string"))
                ))
                .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

    new FeaturesetContainerEntity(name: string, args: FeaturesetContainerEntityArgs, opts?: CustomResourceOptions);
    @overload
    def FeaturesetContainerEntity(resource_name: str,
                                  opts: Optional[ResourceOptions] = None,
                                  featureset_container_properties: Optional[FeaturesetContainerArgs] = None,
                                  name: Optional[str] = None,
                                  resource_group_name: Optional[str] = None,
                                  workspace_name: Optional[str] = None)
    @overload
    def FeaturesetContainerEntity(resource_name: str,
                                  args: FeaturesetContainerEntityArgs,
                                  opts: Optional[ResourceOptions] = 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.
    
    
    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.

    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} 
    

    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 v2.8.0 published on Monday, Sep 18, 2023 by Pulumi