ACIService
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",
});
});Content copied to clipboard
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
})
}Content copied to clipboard
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());
}
}Content copied to clipboard
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/service456Content copied to clipboard
Constructors
Link copied to clipboard
constructor(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)
Properties
Link copied to clipboard
Whether or not Application Insights is enabled.
Link copied to clipboard
Whether or not authentication is enabled on the service.
Link copied to clipboard
The compute environment type for the service. Expected value is 'ACI'.
Link copied to clipboard
The container resource requirements.
Link copied to clipboard
Details of the data collection options specified.
Link copied to clipboard
The description of the service.
Link copied to clipboard
The Dns label for the service.
Link copied to clipboard
The encryption properties.
Link copied to clipboard
The Environment, models and assets needed for inferencing.
Link copied to clipboard
The authentication keys.
Link copied to clipboard
The service properties dictionary. Properties are immutable.
Link copied to clipboard
Name of the resource group in which workspace is located.
Link copied to clipboard
Name of the Azure Machine Learning service.
Link copied to clipboard
The public SSL certificate in PEM format to use if SSL is enabled.
Link copied to clipboard
Whether or not SSL is enabled.
Link copied to clipboard
The virtual network configuration.
Link copied to clipboard
Name of Azure Machine Learning workspace.