pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin/ACIServiceArgs

ACIServiceArgs

data class ACIServiceArgs(val appInsightsEnabled: Output<Boolean>? = null, val authEnabled: Output<Boolean>? = null, val cname: Output<String>? = null, val computeType: Output<String>? = null, val containerResourceRequirements: Output<ContainerResourceRequirementsArgs>? = null, val dataCollection: Output<ACIServiceCreateRequestDataCollectionArgs>? = null, val description: Output<String>? = null, val dnsNameLabel: Output<String>? = null, val encryptionProperties: Output<ACIServiceCreateRequestEncryptionPropertiesArgs>? = null, val environmentImageRequest: Output<CreateServiceRequestEnvironmentImageRequestArgs>? = null, val keys: Output<CreateServiceRequestKeysArgs>? = null, val kvTags: Output<Map<String, String>>? = null, val location: Output<String>? = null, val properties: Output<Map<String, String>>? = null, val resourceGroupName: Output<String>? = null, val serviceName: Output<String>? = null, val sslCertificate: Output<String>? = null, val sslEnabled: Output<Boolean>? = null, val sslKey: Output<String>? = null, val vnetConfiguration: Output<ACIServiceCreateRequestVnetConfigurationArgs>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<ACIServiceArgs>

Machine Learning service object wrapped into ARM resource envelope. API Version: 2021-01-01.

Example Usage

Create Or Update service

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var aciService = new AzureNative.MachineLearningServices.ACIService("aciService", new()
    {
        AppInsightsEnabled = true,
        AuthEnabled = true,
        ComputeType = "ACI",
        ContainerResourceRequirements = new AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsArgs
        {
            Cpu = 1,
            MemoryInGB = 1,
        },
        EnvironmentImageRequest = new AzureNative.MachineLearningServices.Inputs.CreateServiceRequestEnvironmentImageRequestArgs
        {
            Assets = new[]
            {
                new AzureNative.MachineLearningServices.Inputs.ImageAssetArgs
                {
                    MimeType = "application/x-python",
                    Unpack = false,
                    Url = "aml://storage/azureml/score.py",
                },
            },
            DriverProgram = "score.py",
            Environment = new AzureNative.MachineLearningServices.Inputs.EnvironmentImageRequestEnvironmentArgs
            {
                Docker = new AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionDockerArgs
                {
                    BaseImage = "mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04",
                    BaseImageRegistry = null,
                },
                EnvironmentVariables =
                {
                    { "EXAMPLE_ENV_VAR", "EXAMPLE_VALUE" },
                },
                Name = "AzureML-Scikit-learn-0.20.3",
                Python = new AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionPythonArgs
                {
                    CondaDependencies =
                    {
                        { "channels", new[]
                        {
                            "conda-forge",
                        } },
                        { "dependencies", new[]
                        {
                            "python=3.6.2",
                            {
                                { "pip", new[]
                                {
                                    "azureml-core==1.0.69",
                                    "azureml-defaults==1.0.69",
                                    "azureml-telemetry==1.0.69",
                                    "azureml-train-restclients-hyperdrive==1.0.69",
                                    "azureml-train-core==1.0.69",
                                    "scikit-learn==0.20.3",
                                    "scipy==1.2.1",
                                    "numpy==1.16.2",
                                    "joblib==0.13.2",
                                } },
                            },
                        } },
                        { "name", "azureml_ae1acbe6e1e6aabbad900b53c491a17c" },
                    },
                    InterpreterPath = "python",
                    UserManagedDependencies = false,
                },
                Spark = new AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionSparkArgs
                {
                    Packages = new[] {},
                    PrecachePackages = true,
                    Repositories = new[] {},
                },
                Version = "3",
            },
            Models = new[]
            {
                new AzureNative.MachineLearningServices.Inputs.ModelArgs
                {
                    MimeType = "application/x-python",
                    Name = "sklearn_regression_model.pkl",
                    Url = "aml://storage/azureml/sklearn_regression_model.pkl",
                },
            },
        },
        Location = "eastus2",
        ResourceGroupName = "testrg123",
        ServiceName = "service456",
        WorkspaceName = "workspaces123",
    });
});
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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.NewACIService(ctx, "aciService", &machinelearningservices.ACIServiceArgs{
			AppInsightsEnabled: pulumi.Bool(true),
			AuthEnabled:        pulumi.Bool(true),
			ComputeType:        pulumi.String("ACI"),
			ContainerResourceRequirements: &machinelearningservices.ContainerResourceRequirementsArgs{
				Cpu:        pulumi.Float64(1),
				MemoryInGB: pulumi.Float64(1),
			},
			EnvironmentImageRequest: &machinelearningservices.CreateServiceRequestEnvironmentImageRequestArgs{
				Assets: machinelearningservices.ImageAssetArray{
					&machinelearningservices.ImageAssetArgs{
						MimeType: pulumi.String("application/x-python"),
						Unpack:   pulumi.Bool(false),
						Url:      pulumi.String("aml://storage/azureml/score.py"),
					},
				},
				DriverProgram: pulumi.String("score.py"),
				Environment: &machinelearningservices.EnvironmentImageRequestEnvironmentArgs{
					Docker: &machinelearningservices.ModelEnvironmentDefinitionDockerArgs{
						BaseImage:         pulumi.String("mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04"),
						BaseImageRegistry: nil,
					},
					EnvironmentVariables: pulumi.StringMap{
						"EXAMPLE_ENV_VAR": pulumi.String("EXAMPLE_VALUE"),
					},
					Name: pulumi.String("AzureML-Scikit-learn-0.20.3"),
					Python: &machinelearningservices.ModelEnvironmentDefinitionPythonArgs{
						CondaDependencies: pulumi.Any{
							Channels: []string{
								"conda-forge",
							},
							Dependencies: []interface{}{
								"python=3.6.2",
								map[string]interface{}{
									"pip": []string{
										"azureml-core==1.0.69",
										"azureml-defaults==1.0.69",
										"azureml-telemetry==1.0.69",
										"azureml-train-restclients-hyperdrive==1.0.69",
										"azureml-train-core==1.0.69",
										"scikit-learn==0.20.3",
										"scipy==1.2.1",
										"numpy==1.16.2",
										"joblib==0.13.2",
									},
								},
							},
							Name: "azureml_ae1acbe6e1e6aabbad900b53c491a17c",
						},
						InterpreterPath:         pulumi.String("python"),
						UserManagedDependencies: pulumi.Bool(false),
					},
					Spark: &machinelearningservices.ModelEnvironmentDefinitionSparkArgs{
						Packages:         machinelearningservices.SparkMavenPackageArray{},
						PrecachePackages: pulumi.Bool(true),
						Repositories:     pulumi.StringArray{},
					},
					Version: pulumi.String("3"),
				},
				Models: machinelearningservices.ModelArray{
					&machinelearningservices.ModelArgs{
						MimeType: pulumi.String("application/x-python"),
						Name:     pulumi.String("sklearn_regression_model.pkl"),
						Url:      pulumi.String("aml://storage/azureml/sklearn_regression_model.pkl"),
					},
				},
			},
			Location:          pulumi.String("eastus2"),
			ResourceGroupName: pulumi.String("testrg123"),
			ServiceName:       pulumi.String("service456"),
			WorkspaceName:     pulumi.String("workspaces123"),
		})
		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.ACIService;
import com.pulumi.azurenative.machinelearningservices.ACIServiceArgs;
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 aciService = new ACIService("aciService", ACIServiceArgs.builder()
            .appInsightsEnabled(true)
            .authEnabled(true)
            .computeType("ACI")
            .containerResourceRequirements(Map.ofEntries(
                Map.entry("cpu", 1),
                Map.entry("memoryInGB", 1)
            ))
            .environmentImageRequest(Map.ofEntries(
                Map.entry("assets", Map.ofEntries(
                    Map.entry("mimeType", "application/x-python"),
                    Map.entry("unpack", false),
                    Map.entry("url", "aml://storage/azureml/score.py")
                )),
                Map.entry("driverProgram", "score.py"),
                Map.entry("environment", Map.ofEntries(
                    Map.entry("docker", Map.ofEntries(
                        Map.entry("baseImage", "mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04"),
                        Map.entry("baseImageRegistry", )
                    )),
                    Map.entry("environmentVariables", Map.of("EXAMPLE_ENV_VAR", "EXAMPLE_VALUE")),
                    Map.entry("name", "AzureML-Scikit-learn-0.20.3"),
                    Map.entry("python", Map.ofEntries(
                        Map.entry("condaDependencies", Map.ofEntries(
                            Map.entry("channels", "conda-forge"),
                            Map.entry("dependencies",
                                "python=3.6.2",
                                CreateServiceRequestEnvironmentImageRequestArgs.builder()
                                    .pip(
                                        "azureml-core==1.0.69",
                                        "azureml-defaults==1.0.69",
                                        "azureml-telemetry==1.0.69",
                                        "azureml-train-restclients-hyperdrive==1.0.69",
                                        "azureml-train-core==1.0.69",
                                        "scikit-learn==0.20.3",
                                        "scipy==1.2.1",
                                        "numpy==1.16.2",
                                        "joblib==0.13.2")
                                    .build()),
                            Map.entry("name", "azureml_ae1acbe6e1e6aabbad900b53c491a17c")
                        )),
                        Map.entry("interpreterPath", "python"),
                        Map.entry("userManagedDependencies", false)
                    )),
                    Map.entry("spark", Map.ofEntries(
                        Map.entry("packages", ),
                        Map.entry("precachePackages", true),
                        Map.entry("repositories", )
                    )),
                    Map.entry("version", "3")
                )),
                Map.entry("models", Map.ofEntries(
                    Map.entry("mimeType", "application/x-python"),
                    Map.entry("name", "sklearn_regression_model.pkl"),
                    Map.entry("url", "aml://storage/azureml/sklearn_regression_model.pkl")
                ))
            ))
            .location("eastus2")
            .resourceGroupName("testrg123")
            .serviceName("service456")
            .workspaceName("workspaces123")
            .build());
    }
}
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Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:ACIService service456 subscriptions/34adfa4f-cedf-4dc0-ba29-b6d1a69ab345/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspaces123/services/service456
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Constructors

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fun ACIServiceArgs(appInsightsEnabled: Output<Boolean>? = null, authEnabled: Output<Boolean>? = null, cname: Output<String>? = null, computeType: Output<String>? = null, containerResourceRequirements: Output<ContainerResourceRequirementsArgs>? = null, dataCollection: Output<ACIServiceCreateRequestDataCollectionArgs>? = null, description: Output<String>? = null, dnsNameLabel: Output<String>? = null, encryptionProperties: Output<ACIServiceCreateRequestEncryptionPropertiesArgs>? = null, environmentImageRequest: Output<CreateServiceRequestEnvironmentImageRequestArgs>? = null, keys: Output<CreateServiceRequestKeysArgs>? = null, kvTags: Output<Map<String, String>>? = null, location: Output<String>? = null, properties: Output<Map<String, String>>? = null, resourceGroupName: Output<String>? = null, serviceName: Output<String>? = null, sslCertificate: Output<String>? = null, sslEnabled: Output<Boolean>? = null, sslKey: Output<String>? = null, vnetConfiguration: Output<ACIServiceCreateRequestVnetConfigurationArgs>? = null, workspaceName: Output<String>? = null)

Functions

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open override fun toJava(): ACIServiceArgs

Properties

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val appInsightsEnabled: Output<Boolean>? = null

Whether or not Application Insights is enabled.

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val authEnabled: Output<Boolean>? = null

Whether or not authentication is enabled on the service.

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val cname: Output<String>? = null

The CName for the service.

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val computeType: Output<String>? = null

The compute environment type for the service. Expected value is 'ACI'.

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val containerResourceRequirements: Output<ContainerResourceRequirementsArgs>? = null

The container resource requirements.

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val dataCollection: Output<ACIServiceCreateRequestDataCollectionArgs>? = null

Details of the data collection options specified.

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val description: Output<String>? = null

The description of the service.

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val dnsNameLabel: Output<String>? = null

The Dns label for the service.

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val encryptionProperties: Output<ACIServiceCreateRequestEncryptionPropertiesArgs>? = null

The encryption properties.

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val environmentImageRequest: Output<CreateServiceRequestEnvironmentImageRequestArgs>? = null

The Environment, models and assets needed for inferencing.

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val keys: Output<CreateServiceRequestKeysArgs>? = null

The authentication keys.

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val kvTags: Output<Map<String, String>>? = null

The service tag dictionary. Tags are mutable.

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val location: Output<String>? = null

The name of the Azure location/region.

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val properties: Output<Map<String, String>>? = null

The service properties dictionary. Properties are immutable.

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val resourceGroupName: Output<String>? = null

Name of the resource group in which workspace is located.

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val serviceName: Output<String>? = null

Name of the Azure Machine Learning service.

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val sslCertificate: Output<String>? = null

The public SSL certificate in PEM format to use if SSL is enabled.

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val sslEnabled: Output<Boolean>? = null

Whether or not SSL is enabled.

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val sslKey: Output<String>? = null

The public SSL key in PEM format for the certificate.

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val vnetConfiguration: Output<ACIServiceCreateRequestVnetConfigurationArgs>? = null

The virtual network configuration.

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val workspaceName: Output<String>? = null

Name of Azure Machine Learning workspace.