azure-native.machinelearningservices.FeaturesetContainerEntity
Explore with Pulumi AI
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, 2024-04-01, 2024-04-01-preview, 2024-07-01-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 (
machinelearningservices "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={
"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.
Constructor 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={
"description": "string",
"isArchived": 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:
- Featureset
Container Pulumi.Properties Azure Native. Machine Learning Services. Inputs. Featureset Container - [Required] Additional attributes of the entity.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Name string
- Container name. This is case-sensitive.
- Featureset
Container FeaturesetProperties Container Args - [Required] Additional attributes of the entity.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Name string
- Container name. This is case-sensitive.
- featureset
Container FeaturesetProperties Container - [Required] Additional attributes of the entity.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- name String
- Container name. This is case-sensitive.
- featureset
Container FeaturesetProperties Container - [Required] Additional attributes of the entity.
- resource
Group stringName - The name of the resource group. The name is case insensitive.
- workspace
Name string - Name of Azure Machine Learning workspace.
- name string
- Container name. This is case-sensitive.
- featureset_
container_ Featuresetproperties Container Args - [Required] Additional attributes of the entity.
- resource_
group_ strname - 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.
- featureset
Container Property MapProperties - [Required] Additional attributes of the entity.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name 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.
- System
Data Pulumi.Azure Native. Machine Learning Services. Outputs. System Data Response - 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.
- System
Data SystemData Response - 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.
- system
Data SystemData Response - 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.
- system
Data SystemData Response - 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 SystemData Response - 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.
- system
Data 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.
- Is
Archived bool - Is the asset archived?
- Properties Dictionary<string, string>
- The asset property dictionary.
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Description string
- The asset description text.
- Is
Archived bool - Is the asset archived?
- Properties map[string]string
- The asset property dictionary.
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- description String
- The asset description text.
- is
Archived Boolean - Is the asset archived?
- properties Map<String,String>
- The asset property dictionary.
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- description string
- The asset description text.
- is
Archived boolean - Is the asset archived?
- properties {[key: string]: string}
- The asset property dictionary.
- {[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.
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- description String
- The asset description text.
- is
Archived Boolean - Is the asset archived?
- properties Map<String>
- The asset property dictionary.
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
FeaturesetContainerResponse, FeaturesetContainerResponseArgs
- Latest
Version string - The latest version inside this container.
- Next
Version string - The next auto incremental version
- Provisioning
State string - Provisioning state for the featureset container.
- Description string
- The asset description text.
- Is
Archived bool - Is the asset archived?
- Properties Dictionary<string, string>
- The asset property dictionary.
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Latest
Version string - The latest version inside this container.
- Next
Version string - The next auto incremental version
- Provisioning
State string - Provisioning state for the featureset container.
- Description string
- The asset description text.
- Is
Archived bool - Is the asset archived?
- Properties map[string]string
- The asset property dictionary.
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- latest
Version String - The latest version inside this container.
- next
Version String - The next auto incremental version
- provisioning
State String - Provisioning state for the featureset container.
- description String
- The asset description text.
- is
Archived Boolean - Is the asset archived?
- properties Map<String,String>
- The asset property dictionary.
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- latest
Version string - The latest version inside this container.
- next
Version string - The next auto incremental version
- provisioning
State string - Provisioning state for the featureset container.
- description string
- The asset description text.
- is
Archived boolean - Is the asset archived?
- properties {[key: string]: string}
- The asset property dictionary.
- {[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.
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- latest
Version String - The latest version inside this container.
- next
Version String - The next auto incremental version
- provisioning
State String - Provisioning state for the featureset container.
- description String
- The asset description text.
- is
Archived Boolean - Is the asset archived?
- properties Map<String>
- The asset property dictionary.
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
SystemDataResponse, SystemDataResponseArgs
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
- created
At string - The timestamp of resource creation (UTC).
- created
By string - The identity that created the resource.
- created
By stringType - The type of identity that created the resource.
- last
Modified stringAt - The timestamp of resource last modification (UTC)
- last
Modified stringBy - The identity that last modified the resource.
- last
Modified stringBy Type - 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_ strtype - The type of identity that created the resource.
- last_
modified_ strat - The timestamp of resource last modification (UTC)
- last_
modified_ strby - The identity that last modified the resource.
- last_
modified_ strby_ type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - 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