azure-native.machinelearning.Workspace
Explore with Pulumi AI
An object that represents a machine learning workspace. Azure REST API version: 2019-10-01. Prior API version in Azure Native 1.x: 2016-04-01.
Example Usage
WorkspaceCreate
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() => 
{
    var workspace = new AzureNative.MachineLearning.Workspace("workspace", new()
    {
        Location = "West Europe",
        OwnerEmail = "abc@microsoft.com",
        ResourceGroupName = "myResourceGroup",
        Sku = new AzureNative.MachineLearning.Inputs.SkuArgs
        {
            Name = "Enterprise",
            Tier = "Enterprise",
        },
        Tags = 
        {
            { "tagKey1", "TagValue1" },
        },
        UserStorageAccountId = "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Storage/storageAccounts/teststorage",
        WorkspaceName = "testworkspace",
    });
});
package main
import (
	machinelearning "github.com/pulumi/pulumi-azure-native-sdk/machinelearning/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearning.NewWorkspace(ctx, "workspace", &machinelearning.WorkspaceArgs{
			Location:          pulumi.String("West Europe"),
			OwnerEmail:        pulumi.String("abc@microsoft.com"),
			ResourceGroupName: pulumi.String("myResourceGroup"),
			Sku: &machinelearning.SkuArgs{
				Name: pulumi.String("Enterprise"),
				Tier: pulumi.String("Enterprise"),
			},
			Tags: pulumi.StringMap{
				"tagKey1": pulumi.String("TagValue1"),
			},
			UserStorageAccountId: pulumi.String("/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Storage/storageAccounts/teststorage"),
			WorkspaceName:        pulumi.String("testworkspace"),
		})
		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.machinelearning.Workspace;
import com.pulumi.azurenative.machinelearning.WorkspaceArgs;
import com.pulumi.azurenative.machinelearning.inputs.SkuArgs;
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 workspace = new Workspace("workspace", WorkspaceArgs.builder()
            .location("West Europe")
            .ownerEmail("abc@microsoft.com")
            .resourceGroupName("myResourceGroup")
            .sku(SkuArgs.builder()
                .name("Enterprise")
                .tier("Enterprise")
                .build())
            .tags(Map.of("tagKey1", "TagValue1"))
            .userStorageAccountId("/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Storage/storageAccounts/teststorage")
            .workspaceName("testworkspace")
            .build());
    }
}
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";
const workspace = new azure_native.machinelearning.Workspace("workspace", {
    location: "West Europe",
    ownerEmail: "abc@microsoft.com",
    resourceGroupName: "myResourceGroup",
    sku: {
        name: "Enterprise",
        tier: "Enterprise",
    },
    tags: {
        tagKey1: "TagValue1",
    },
    userStorageAccountId: "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Storage/storageAccounts/teststorage",
    workspaceName: "testworkspace",
});
import pulumi
import pulumi_azure_native as azure_native
workspace = azure_native.machinelearning.Workspace("workspace",
    location="West Europe",
    owner_email="abc@microsoft.com",
    resource_group_name="myResourceGroup",
    sku={
        "name": "Enterprise",
        "tier": "Enterprise",
    },
    tags={
        "tagKey1": "TagValue1",
    },
    user_storage_account_id="/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Storage/storageAccounts/teststorage",
    workspace_name="testworkspace")
resources:
  workspace:
    type: azure-native:machinelearning:Workspace
    properties:
      location: West Europe
      ownerEmail: abc@microsoft.com
      resourceGroupName: myResourceGroup
      sku:
        name: Enterprise
        tier: Enterprise
      tags:
        tagKey1: TagValue1
      userStorageAccountId: /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup/providers/Microsoft.Storage/storageAccounts/teststorage
      workspaceName: testworkspace
Create Workspace Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Workspace(name: string, args: WorkspaceArgs, opts?: CustomResourceOptions);@overload
def Workspace(resource_name: str,
              args: WorkspaceArgs,
              opts: Optional[ResourceOptions] = None)
@overload
def Workspace(resource_name: str,
              opts: Optional[ResourceOptions] = None,
              owner_email: Optional[str] = None,
              resource_group_name: Optional[str] = None,
              user_storage_account_id: Optional[str] = None,
              key_vault_identifier_id: Optional[str] = None,
              location: Optional[str] = None,
              sku: Optional[SkuArgs] = None,
              tags: Optional[Mapping[str, str]] = None,
              workspace_name: Optional[str] = None)func NewWorkspace(ctx *Context, name string, args WorkspaceArgs, opts ...ResourceOption) (*Workspace, error)public Workspace(string name, WorkspaceArgs args, CustomResourceOptions? opts = null)
public Workspace(String name, WorkspaceArgs args)
public Workspace(String name, WorkspaceArgs args, CustomResourceOptions options)
type: azure-native:machinelearning:Workspace
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 WorkspaceArgs
- 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 WorkspaceArgs
- 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 WorkspaceArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args WorkspaceArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args WorkspaceArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var exampleworkspaceResourceResourceFromMachinelearning = new AzureNative.MachineLearning.Workspace("exampleworkspaceResourceResourceFromMachinelearning", new()
{
    OwnerEmail = "string",
    ResourceGroupName = "string",
    UserStorageAccountId = "string",
    KeyVaultIdentifierId = "string",
    Location = "string",
    Sku = new AzureNative.MachineLearning.Inputs.SkuArgs
    {
        Name = "string",
        Tier = "string",
    },
    Tags = 
    {
        { "string", "string" },
    },
    WorkspaceName = "string",
});
example, err := machinelearning.NewWorkspace(ctx, "exampleworkspaceResourceResourceFromMachinelearning", &machinelearning.WorkspaceArgs{
	OwnerEmail:           pulumi.String("string"),
	ResourceGroupName:    pulumi.String("string"),
	UserStorageAccountId: pulumi.String("string"),
	KeyVaultIdentifierId: pulumi.String("string"),
	Location:             pulumi.String("string"),
	Sku: &machinelearning.SkuArgs{
		Name: pulumi.String("string"),
		Tier: pulumi.String("string"),
	},
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	WorkspaceName: pulumi.String("string"),
})
var exampleworkspaceResourceResourceFromMachinelearning = new Workspace("exampleworkspaceResourceResourceFromMachinelearning", WorkspaceArgs.builder()
    .ownerEmail("string")
    .resourceGroupName("string")
    .userStorageAccountId("string")
    .keyVaultIdentifierId("string")
    .location("string")
    .sku(SkuArgs.builder()
        .name("string")
        .tier("string")
        .build())
    .tags(Map.of("string", "string"))
    .workspaceName("string")
    .build());
exampleworkspace_resource_resource_from_machinelearning = azure_native.machinelearning.Workspace("exampleworkspaceResourceResourceFromMachinelearning",
    owner_email="string",
    resource_group_name="string",
    user_storage_account_id="string",
    key_vault_identifier_id="string",
    location="string",
    sku={
        "name": "string",
        "tier": "string",
    },
    tags={
        "string": "string",
    },
    workspace_name="string")
const exampleworkspaceResourceResourceFromMachinelearning = new azure_native.machinelearning.Workspace("exampleworkspaceResourceResourceFromMachinelearning", {
    ownerEmail: "string",
    resourceGroupName: "string",
    userStorageAccountId: "string",
    keyVaultIdentifierId: "string",
    location: "string",
    sku: {
        name: "string",
        tier: "string",
    },
    tags: {
        string: "string",
    },
    workspaceName: "string",
});
type: azure-native:machinelearning:Workspace
properties:
    keyVaultIdentifierId: string
    location: string
    ownerEmail: string
    resourceGroupName: string
    sku:
        name: string
        tier: string
    tags:
        string: string
    userStorageAccountId: string
    workspaceName: string
Workspace Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The Workspace resource accepts the following input properties:
- OwnerEmail string
- The email id of the owner for this workspace.
- ResourceGroup stringName 
- The name of the resource group to which the machine learning workspace belongs.
- UserStorage stringAccount Id 
- The fully qualified arm id of the storage account associated with this workspace.
- KeyVault stringIdentifier Id 
- The key vault identifier used for encrypted workspaces.
- Location string
- The location of the resource. This cannot be changed after the resource is created.
- Sku
Pulumi.Azure Native. Machine Learning. Inputs. Sku 
- The sku of the workspace.
- Dictionary<string, string>
- The tags of the resource.
- WorkspaceName string
- The name of the machine learning workspace.
- OwnerEmail string
- The email id of the owner for this workspace.
- ResourceGroup stringName 
- The name of the resource group to which the machine learning workspace belongs.
- UserStorage stringAccount Id 
- The fully qualified arm id of the storage account associated with this workspace.
- KeyVault stringIdentifier Id 
- The key vault identifier used for encrypted workspaces.
- Location string
- The location of the resource. This cannot be changed after the resource is created.
- Sku
SkuArgs 
- The sku of the workspace.
- map[string]string
- The tags of the resource.
- WorkspaceName string
- The name of the machine learning workspace.
- ownerEmail String
- The email id of the owner for this workspace.
- resourceGroup StringName 
- The name of the resource group to which the machine learning workspace belongs.
- userStorage StringAccount Id 
- The fully qualified arm id of the storage account associated with this workspace.
- keyVault StringIdentifier Id 
- The key vault identifier used for encrypted workspaces.
- location String
- The location of the resource. This cannot be changed after the resource is created.
- sku Sku
- The sku of the workspace.
- Map<String,String>
- The tags of the resource.
- workspaceName String
- The name of the machine learning workspace.
- ownerEmail string
- The email id of the owner for this workspace.
- resourceGroup stringName 
- The name of the resource group to which the machine learning workspace belongs.
- userStorage stringAccount Id 
- The fully qualified arm id of the storage account associated with this workspace.
- keyVault stringIdentifier Id 
- The key vault identifier used for encrypted workspaces.
- location string
- The location of the resource. This cannot be changed after the resource is created.
- sku Sku
- The sku of the workspace.
- {[key: string]: string}
- The tags of the resource.
- workspaceName string
- The name of the machine learning workspace.
- owner_email str
- The email id of the owner for this workspace.
- resource_group_ strname 
- The name of the resource group to which the machine learning workspace belongs.
- user_storage_ straccount_ id 
- The fully qualified arm id of the storage account associated with this workspace.
- key_vault_ stridentifier_ id 
- The key vault identifier used for encrypted workspaces.
- location str
- The location of the resource. This cannot be changed after the resource is created.
- sku
SkuArgs 
- The sku of the workspace.
- Mapping[str, str]
- The tags of the resource.
- workspace_name str
- The name of the machine learning workspace.
- ownerEmail String
- The email id of the owner for this workspace.
- resourceGroup StringName 
- The name of the resource group to which the machine learning workspace belongs.
- userStorage StringAccount Id 
- The fully qualified arm id of the storage account associated with this workspace.
- keyVault StringIdentifier Id 
- The key vault identifier used for encrypted workspaces.
- location String
- The location of the resource. This cannot be changed after the resource is created.
- sku Property Map
- The sku of the workspace.
- Map<String>
- The tags of the resource.
- workspaceName String
- The name of the machine learning workspace.
Outputs
All input properties are implicitly available as output properties. Additionally, the Workspace resource produces the following output properties:
- CreationTime string
- The creation time for this workspace resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- The name of the resource.
- StudioEndpoint string
- The regional endpoint for the machine learning studio service which hosts this workspace.
- Type string
- The type of the resource.
- WorkspaceId string
- The immutable id associated with this workspace.
- WorkspaceState string
- The current state of workspace resource.
- WorkspaceType string
- The type of this workspace.
- CreationTime string
- The creation time for this workspace resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- The name of the resource.
- StudioEndpoint string
- The regional endpoint for the machine learning studio service which hosts this workspace.
- Type string
- The type of the resource.
- WorkspaceId string
- The immutable id associated with this workspace.
- WorkspaceState string
- The current state of workspace resource.
- WorkspaceType string
- The type of this workspace.
- creationTime String
- The creation time for this workspace resource.
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- The name of the resource.
- studioEndpoint String
- The regional endpoint for the machine learning studio service which hosts this workspace.
- type String
- The type of the resource.
- workspaceId String
- The immutable id associated with this workspace.
- workspaceState String
- The current state of workspace resource.
- workspaceType String
- The type of this workspace.
- creationTime string
- The creation time for this workspace resource.
- id string
- The provider-assigned unique ID for this managed resource.
- name string
- The name of the resource.
- studioEndpoint string
- The regional endpoint for the machine learning studio service which hosts this workspace.
- type string
- The type of the resource.
- workspaceId string
- The immutable id associated with this workspace.
- workspaceState string
- The current state of workspace resource.
- workspaceType string
- The type of this workspace.
- creation_time str
- The creation time for this workspace resource.
- id str
- The provider-assigned unique ID for this managed resource.
- name str
- The name of the resource.
- studio_endpoint str
- The regional endpoint for the machine learning studio service which hosts this workspace.
- type str
- The type of the resource.
- workspace_id str
- The immutable id associated with this workspace.
- workspace_state str
- The current state of workspace resource.
- workspace_type str
- The type of this workspace.
- creationTime String
- The creation time for this workspace resource.
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- The name of the resource.
- studioEndpoint String
- The regional endpoint for the machine learning studio service which hosts this workspace.
- type String
- The type of the resource.
- workspaceId String
- The immutable id associated with this workspace.
- workspaceState String
- The current state of workspace resource.
- workspaceType String
- The type of this workspace.
Supporting Types
Sku, SkuArgs  
SkuResponse, SkuResponseArgs    
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearning:Workspace testworkspace /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName} 
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Native pulumi/pulumi-azure-native
- License
- Apache-2.0