ModelContainer

Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate Model Container.

using System.Collections.Generic;
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/go/azure/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

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

Properties

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val id: Output<String>
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val name: Output<String>

The name of the resource

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Required Additional attributes of the entity.

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System data associated with resource provider

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val type: Output<String>

The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

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val urn: Output<String>