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  5. ModelContainer
These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.ModelContainer

Explore with Pulumi AI

These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native

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",
    });

});
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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
	})
}
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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());

    }
}
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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",
});
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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")
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resources:
  modelContainer:
    type: azure-native:machinelearningservices:ModelContainer
    properties:
      name: testContainer
      properties:
        description: Model container description
        tags:
          tag1: value1
          tag2: value2
      resourceGroupName: testrg123
      workspaceName: workspace123
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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 This property is required. string
The unique name of the resource.
args This property is required. ModelContainerArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. 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 This property is required. string
The unique name of the resource.
args This property is required. ModelContainerArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. ModelContainerArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. 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",
});
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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",
})
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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());
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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)
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const modelContainerResource = new azure_native.machinelearningservices.ModelContainer("modelContainerResource", {
    properties: {
        description: "string",
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    name: "string",
});
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type: azure-native:machinelearningservices:ModelContainer
properties:
    name: string
    properties:
        description: string
        properties:
            string: string
        tags:
            string: string
    resourceGroupName: string
    workspaceName: string
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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

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The ModelContainer resource accepts the following input properties:

Properties This property is required. Pulumi.AzureNative.MachineLearningServices.Inputs.ModelContainer
[Required] Additional attributes of the entity.
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
WorkspaceName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning workspace.
Name Changes to this property will trigger replacement. string
Container name.
Properties This property is required. ModelContainerTypeArgs
[Required] Additional attributes of the entity.
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
WorkspaceName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning workspace.
Name Changes to this property will trigger replacement. string
Container name.
properties This property is required. ModelContainer
[Required] Additional attributes of the entity.
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
workspaceName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning workspace.
name Changes to this property will trigger replacement. String
Container name.
properties This property is required. ModelContainer
[Required] Additional attributes of the entity.
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
workspaceName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning workspace.
name Changes to this property will trigger replacement. string
Container name.
properties This property is required. ModelContainerArgs
[Required] Additional attributes of the entity.
resource_group_name
This property is required.
Changes to this property will trigger replacement.
str
The name of the resource group. The name is case insensitive.
workspace_name
This property is required.
Changes to this property will trigger replacement.
str
Name of Azure Machine Learning workspace.
name Changes to this property will trigger replacement. str
Container name.
properties This property is required. Property Map
[Required] Additional attributes of the entity.
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
workspaceName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning workspace.
name Changes to this property will trigger replacement. 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.
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
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.
SystemData SystemDataResponse
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.
systemData SystemDataResponse
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.
systemData SystemDataResponse
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 SystemDataResponse
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.
systemData 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.
Tags 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.
Tags 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.
tags 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.
tags {[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.
tags 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.
tags 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.
Tags 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.
Tags 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.
tags 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.
tags {[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.
tags 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.
tags Map<String>
Tag dictionary. Tags can be added, removed, and updated.

SystemDataResponse
, SystemDataResponseArgs

CreatedAt string
The timestamp of resource creation (UTC)
CreatedBy string
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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
An identifier for 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:ModelContainer testContainer /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/models/testContainer
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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
These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native