azure-native.machinelearningservices.ModelContainer
Explore with Pulumi AI
Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.
Example Usage
CreateOrUpdate Model Container.
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var modelContainer = new AzureNative.MachineLearningServices.ModelContainer("modelContainer", new()
{
Name = "testContainer",
Properties = new AzureNative.MachineLearningServices.Inputs.ModelContainerArgs
{
Description = "Model container description",
Tags =
{
{ "tag1", "value1" },
{ "tag2", "value2" },
},
},
ResourceGroupName = "testrg123",
WorkspaceName = "workspace123",
});
});
package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewModelContainer(ctx, "modelContainer", &machinelearningservices.ModelContainerArgs{
Name: pulumi.String("testContainer"),
Properties: &machinelearningservices.ModelContainerTypeArgs{
Description: pulumi.String("Model container description"),
Tags: pulumi.StringMap{
"tag1": pulumi.String("value1"),
"tag2": pulumi.String("value2"),
},
},
ResourceGroupName: pulumi.String("testrg123"),
WorkspaceName: pulumi.String("workspace123"),
})
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.ModelContainer;
import com.pulumi.azurenative.machinelearningservices.ModelContainerArgs;
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 modelContainer = new ModelContainer("modelContainer", ModelContainerArgs.builder()
.name("testContainer")
.properties(Map.ofEntries(
Map.entry("description", "Model container description"),
Map.entry("tags", Map.ofEntries(
Map.entry("tag1", "value1"),
Map.entry("tag2", "value2")
))
))
.resourceGroupName("testrg123")
.workspaceName("workspace123")
.build());
}
}
import pulumi
import pulumi_azure_native as azure_native
model_container = azure_native.machinelearningservices.ModelContainer("modelContainer",
name="testContainer",
properties=azure_native.machinelearningservices.ModelContainerArgs(
description="Model container description",
tags={
"tag1": "value1",
"tag2": "value2",
},
),
resource_group_name="testrg123",
workspace_name="workspace123")
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";
const modelContainer = new azure_native.machinelearningservices.ModelContainer("modelContainer", {
name: "testContainer",
properties: {
description: "Model container description",
tags: {
tag1: "value1",
tag2: "value2",
},
},
resourceGroupName: "testrg123",
workspaceName: "workspace123",
});
resources:
modelContainer:
type: azure-native:machinelearningservices:ModelContainer
properties:
name: testContainer
properties:
description: Model container description
tags:
tag1: value1
tag2: value2
resourceGroupName: testrg123
workspaceName: workspace123
Create ModelContainer Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new ModelContainer(name: string, args: ModelContainerArgs, opts?: CustomResourceOptions);
@overload
def ModelContainer(resource_name: str,
args: ModelContainerInitArgs,
opts: Optional[ResourceOptions] = None)
@overload
def ModelContainer(resource_name: str,
opts: Optional[ResourceOptions] = None,
properties: Optional[ModelContainerArgs] = None,
resource_group_name: Optional[str] = None,
workspace_name: Optional[str] = None,
name: Optional[str] = None)
func NewModelContainer(ctx *Context, name string, args ModelContainerArgs, opts ...ResourceOption) (*ModelContainer, error)
public ModelContainer(string name, ModelContainerArgs args, CustomResourceOptions? opts = null)
public ModelContainer(String name, ModelContainerArgs args)
public ModelContainer(String name, ModelContainerArgs args, CustomResourceOptions options)
type: azure-native:machinelearningservices:ModelContainer
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 ModelContainerArgs
- 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 ModelContainerInitArgs
- 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 ModelContainerArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ModelContainerArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ModelContainerArgs
- 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 modelContainerResource = new AzureNative.Machinelearningservices.ModelContainer("modelContainerResource", new()
{
Properties =
{
{ "description", "string" },
{ "properties",
{
{ "string", "string" },
} },
{ "tags",
{
{ "string", "string" },
} },
},
ResourceGroupName = "string",
WorkspaceName = "string",
Name = "string",
});
example, err := machinelearningservices.NewModelContainer(ctx, "modelContainerResource", &machinelearningservices.ModelContainerArgs{
Properties: map[string]interface{}{
"description": "string",
"properties": map[string]interface{}{
"string": "string",
},
"tags": map[string]interface{}{
"string": "string",
},
},
ResourceGroupName: "string",
WorkspaceName: "string",
Name: "string",
})
var modelContainerResource = new ModelContainer("modelContainerResource", ModelContainerArgs.builder()
.properties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
.resourceGroupName("string")
.workspaceName("string")
.name("string")
.build());
model_container_resource = azure_native.machinelearningservices.ModelContainer("modelContainerResource",
properties={
description: string,
properties: {
string: string,
},
tags: {
string: string,
},
},
resource_group_name=string,
workspace_name=string,
name=string)
const modelContainerResource = new azure_native.machinelearningservices.ModelContainer("modelContainerResource", {
properties: {
description: "string",
properties: {
string: "string",
},
tags: {
string: "string",
},
},
resourceGroupName: "string",
workspaceName: "string",
name: "string",
});
type: azure-native:machinelearningservices:ModelContainer
properties:
name: string
properties:
description: string
properties:
string: string
tags:
string: string
resourceGroupName: string
workspaceName: string
ModelContainer 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 ModelContainer resource accepts the following input properties:
- Properties
Pulumi.
Azure Native. Machine Learning Services. Inputs. Model 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.
- Properties
Model
Container Type 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.
- properties
Model
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.
- properties
Model
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.
- properties
Model
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.
- properties Property Map
- [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.
Outputs
All input properties are implicitly available as output properties. Additionally, the ModelContainer 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 - System data associated with resource provider
- 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 - System data associated with resource provider
- 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 - System data associated with resource provider
- 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 - System data associated with resource provider
- 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 - System data associated with resource provider
- 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 - System data associated with resource provider
- type String
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Supporting Types
ModelContainer, ModelContainerArgs
- Description string
- The asset description text.
- 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.
- 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.
- 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.
- 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.
- 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.
- properties Map<String>
- The asset property dictionary.
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
ModelContainerResponse, ModelContainerResponseArgs
- Description string
- The asset description text.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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 - An identifier for 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:ModelContainer testContainer /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/models/testContainer
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- azure-native-v1 pulumi/pulumi-azure-native
- License
- Apache-2.0