Azure Native

Pulumi Official
Package maintained by Pulumi
v1.68.2 published on Tuesday, Aug 16, 2022 by Pulumi

ACIService

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 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 = ,
                },
                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",
    });

});
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.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
	})
}
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());

    }
}
import pulumi
import pulumi_azure_native as azure_native

aci_service = azure_native.machinelearningservices.ACIService("aciService",
    app_insights_enabled=True,
    auth_enabled=True,
    compute_type="ACI",
    container_resource_requirements=azure_native.machinelearningservices.ContainerResourceRequirementsArgs(
        cpu=1,
        memory_in_gb=1,
    ),
    environment_image_request=azure_native.machinelearningservices.CreateServiceRequestEnvironmentImageRequestArgs(
        assets=[azure_native.machinelearningservices.ImageAssetArgs(
            mime_type="application/x-python",
            unpack=False,
            url="aml://storage/azureml/score.py",
        )],
        driver_program="score.py",
        environment=azure_native.machinelearningservices.EnvironmentImageRequestEnvironmentArgs(
            docker=azure_native.machinelearningservices.ModelEnvironmentDefinitionDockerArgs(
                base_image="mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04",
                base_image_registry=azure_native.machinelearningservices.ModelDockerSectionBaseImageRegistryArgs(),
            ),
            environment_variables={
                "EXAMPLE_ENV_VAR": "EXAMPLE_VALUE",
            },
            name="AzureML-Scikit-learn-0.20.3",
            python=azure_native.machinelearningservices.ModelEnvironmentDefinitionPythonArgs(
                conda_dependencies={
                    "channels": ["conda-forge"],
                    "dependencies": [
                        "python=3.6.2",
                        {
                            "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",
                            ],
                        },
                    ],
                    "name": "azureml_ae1acbe6e1e6aabbad900b53c491a17c",
                },
                interpreter_path="python",
                user_managed_dependencies=False,
            ),
            spark=azure_native.machinelearningservices.ModelEnvironmentDefinitionSparkArgs(
                packages=[],
                precache_packages=True,
                repositories=[],
            ),
            version="3",
        ),
        models=[azure_native.machinelearningservices.ModelArgs(
            mime_type="application/x-python",
            name="sklearn_regression_model.pkl",
            url="aml://storage/azureml/sklearn_regression_model.pkl",
        )],
    ),
    location="eastus2",
    resource_group_name="testrg123",
    service_name="service456",
    workspace_name="workspaces123")
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const aciService = new azure_native.machinelearningservices.ACIService("aciService", {
    appInsightsEnabled: true,
    authEnabled: true,
    computeType: "ACI",
    containerResourceRequirements: {
        cpu: 1,
        memoryInGB: 1,
    },
    environmentImageRequest: {
        assets: [{
            mimeType: "application/x-python",
            unpack: false,
            url: "aml://storage/azureml/score.py",
        }],
        driverProgram: "score.py",
        environment: {
            docker: {
                baseImage: "mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04",
                baseImageRegistry: {},
            },
            environmentVariables: {
                EXAMPLE_ENV_VAR: "EXAMPLE_VALUE",
            },
            name: "AzureML-Scikit-learn-0.20.3",
            python: {
                condaDependencies: {
                    channels: ["conda-forge"],
                    dependencies: [
                        "python=3.6.2",
                        {
                            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",
                            ],
                        },
                    ],
                    name: "azureml_ae1acbe6e1e6aabbad900b53c491a17c",
                },
                interpreterPath: "python",
                userManagedDependencies: false,
            },
            spark: {
                packages: [],
                precachePackages: true,
                repositories: [],
            },
            version: "3",
        },
        models: [{
            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",
});
resources:
  aciService:
    type: azure-native:machinelearningservices:ACIService
    properties:
      appInsightsEnabled: true
      authEnabled: true
      computeType: ACI
      containerResourceRequirements:
        cpu: 1
        memoryInGB: 1
      environmentImageRequest:
        assets:
          - mimeType: application/x-python
            unpack: false
            url: aml://storage/azureml/score.py
        driverProgram: score.py
        environment:
          docker:
            baseImage: mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04
            baseImageRegistry: {}
          environmentVariables:
            EXAMPLE_ENV_VAR: EXAMPLE_VALUE
          name: AzureML-Scikit-learn-0.20.3
          python:
            condaDependencies:
              channels:
                - conda-forge
              dependencies:
                - python=3.6.2
                - 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
              name: azureml_ae1acbe6e1e6aabbad900b53c491a17c
            interpreterPath: python
            userManagedDependencies: false
          spark:
            packages: []
            precachePackages: true
            repositories: []
          version: 3
        models:
          - 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

Create a ACIService Resource

new ACIService(name: string, args: ACIServiceArgs, opts?: CustomResourceOptions);
@overload
def ACIService(resource_name: str,
               opts: Optional[ResourceOptions] = None,
               app_insights_enabled: Optional[bool] = None,
               auth_enabled: Optional[bool] = None,
               cname: Optional[str] = None,
               container_resource_requirements: Optional[ContainerResourceRequirementsArgs] = None,
               data_collection: Optional[ACIServiceCreateRequestDataCollectionArgs] = None,
               description: Optional[str] = None,
               dns_name_label: Optional[str] = None,
               encryption_properties: Optional[ACIServiceCreateRequestEncryptionPropertiesArgs] = None,
               environment_image_request: Optional[CreateServiceRequestEnvironmentImageRequestArgs] = None,
               keys: Optional[CreateServiceRequestKeysArgs] = None,
               kv_tags: Optional[Mapping[str, str]] = None,
               location: Optional[str] = None,
               properties: Optional[Mapping[str, str]] = None,
               resource_group_name: Optional[str] = None,
               service_name: Optional[str] = None,
               ssl_certificate: Optional[str] = None,
               ssl_enabled: Optional[bool] = None,
               ssl_key: Optional[str] = None,
               vnet_configuration: Optional[ACIServiceCreateRequestVnetConfigurationArgs] = None,
               workspace_name: Optional[str] = None)
@overload
def ACIService(resource_name: str,
               args: ACIServiceArgs,
               opts: Optional[ResourceOptions] = None)
func NewACIService(ctx *Context, name string, args ACIServiceArgs, opts ...ResourceOption) (*ACIService, error)
public ACIService(string name, ACIServiceArgs args, CustomResourceOptions? opts = null)
public ACIService(String name, ACIServiceArgs args)
public ACIService(String name, ACIServiceArgs args, CustomResourceOptions options)
type: azure-native:machinelearningservices:ACIService
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string
The unique name of the resource.
args ACIServiceArgs
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 ACIServiceArgs
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 ACIServiceArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name string
The unique name of the resource.
args ACIServiceArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name String
The unique name of the resource.
args ACIServiceArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

ACIService 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 ACIService resource accepts the following input properties:

ResourceGroupName string

Name of the resource group in which workspace is located.

WorkspaceName string

Name of Azure Machine Learning workspace.

AppInsightsEnabled bool

Whether or not Application Insights is enabled.

AuthEnabled bool

Whether or not authentication is enabled on the service.

Cname string

The CName for the service.

ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsArgs

The container resource requirements.

DataCollection Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceCreateRequestDataCollectionArgs

Details of the data collection options specified.

Description string

The description of the service.

DnsNameLabel string

The Dns label for the service.

EncryptionProperties Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceCreateRequestEncryptionPropertiesArgs

The encryption properties.

EnvironmentImageRequest Pulumi.AzureNative.MachineLearningServices.Inputs.CreateServiceRequestEnvironmentImageRequestArgs

The Environment, models and assets needed for inferencing.

Keys Pulumi.AzureNative.MachineLearningServices.Inputs.CreateServiceRequestKeysArgs

The authentication keys.

KvTags Dictionary<string, string>

The service tag dictionary. Tags are mutable.

Location string

The name of the Azure location/region.

Properties Dictionary<string, string>

The service properties dictionary. Properties are immutable.

ServiceName string

Name of the Azure Machine Learning service.

SslCertificate string

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

SslEnabled bool

Whether or not SSL is enabled.

SslKey string

The public SSL key in PEM format for the certificate.

VnetConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceCreateRequestVnetConfigurationArgs

The virtual network configuration.

ResourceGroupName string

Name of the resource group in which workspace is located.

WorkspaceName string

Name of Azure Machine Learning workspace.

AppInsightsEnabled bool

Whether or not Application Insights is enabled.

AuthEnabled bool

Whether or not authentication is enabled on the service.

Cname string

The CName for the service.

ContainerResourceRequirements ContainerResourceRequirementsArgs

The container resource requirements.

DataCollection ACIServiceCreateRequestDataCollectionArgs

Details of the data collection options specified.

Description string

The description of the service.

DnsNameLabel string

The Dns label for the service.

EncryptionProperties ACIServiceCreateRequestEncryptionPropertiesArgs

The encryption properties.

EnvironmentImageRequest CreateServiceRequestEnvironmentImageRequestArgs

The Environment, models and assets needed for inferencing.

Keys CreateServiceRequestKeysArgs

The authentication keys.

KvTags map[string]string

The service tag dictionary. Tags are mutable.

Location string

The name of the Azure location/region.

Properties map[string]string

The service properties dictionary. Properties are immutable.

ServiceName string

Name of the Azure Machine Learning service.

SslCertificate string

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

SslEnabled bool

Whether or not SSL is enabled.

SslKey string

The public SSL key in PEM format for the certificate.

VnetConfiguration ACIServiceCreateRequestVnetConfigurationArgs

The virtual network configuration.

resourceGroupName String

Name of the resource group in which workspace is located.

workspaceName String

Name of Azure Machine Learning workspace.

appInsightsEnabled Boolean

Whether or not Application Insights is enabled.

authEnabled Boolean

Whether or not authentication is enabled on the service.

cname String

The CName for the service.

containerResourceRequirements ContainerResourceRequirementsArgs

The container resource requirements.

dataCollection ACIServiceCreateRequestDataCollectionArgs

Details of the data collection options specified.

description String

The description of the service.

dnsNameLabel String

The Dns label for the service.

encryptionProperties ACIServiceCreateRequestEncryptionPropertiesArgs

The encryption properties.

environmentImageRequest CreateServiceRequestEnvironmentImageRequestArgs

The Environment, models and assets needed for inferencing.

keys CreateServiceRequestKeysArgs

The authentication keys.

kvTags Map<String,String>

The service tag dictionary. Tags are mutable.

location String

The name of the Azure location/region.

properties Map<String,String>

The service properties dictionary. Properties are immutable.

serviceName String

Name of the Azure Machine Learning service.

sslCertificate String

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

sslEnabled Boolean

Whether or not SSL is enabled.

sslKey String

The public SSL key in PEM format for the certificate.

vnetConfiguration ACIServiceCreateRequestVnetConfigurationArgs

The virtual network configuration.

resourceGroupName string

Name of the resource group in which workspace is located.

workspaceName string

Name of Azure Machine Learning workspace.

appInsightsEnabled boolean

Whether or not Application Insights is enabled.

authEnabled boolean

Whether or not authentication is enabled on the service.

cname string

The CName for the service.

containerResourceRequirements ContainerResourceRequirementsArgs

The container resource requirements.

dataCollection ACIServiceCreateRequestDataCollectionArgs

Details of the data collection options specified.

description string

The description of the service.

dnsNameLabel string

The Dns label for the service.

encryptionProperties ACIServiceCreateRequestEncryptionPropertiesArgs

The encryption properties.

environmentImageRequest CreateServiceRequestEnvironmentImageRequestArgs

The Environment, models and assets needed for inferencing.

keys CreateServiceRequestKeysArgs

The authentication keys.

kvTags {[key: string]: string}

The service tag dictionary. Tags are mutable.

location string

The name of the Azure location/region.

properties {[key: string]: string}

The service properties dictionary. Properties are immutable.

serviceName string

Name of the Azure Machine Learning service.

sslCertificate string

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

sslEnabled boolean

Whether or not SSL is enabled.

sslKey string

The public SSL key in PEM format for the certificate.

vnetConfiguration ACIServiceCreateRequestVnetConfigurationArgs

The virtual network configuration.

resource_group_name str

Name of the resource group in which workspace is located.

workspace_name str

Name of Azure Machine Learning workspace.

app_insights_enabled bool

Whether or not Application Insights is enabled.

auth_enabled bool

Whether or not authentication is enabled on the service.

cname str

The CName for the service.

container_resource_requirements ContainerResourceRequirementsArgs

The container resource requirements.

data_collection ACIServiceCreateRequestDataCollectionArgs

Details of the data collection options specified.

description str

The description of the service.

dns_name_label str

The Dns label for the service.

encryption_properties ACIServiceCreateRequestEncryptionPropertiesArgs

The encryption properties.

environment_image_request CreateServiceRequestEnvironmentImageRequestArgs

The Environment, models and assets needed for inferencing.

keys CreateServiceRequestKeysArgs

The authentication keys.

kv_tags Mapping[str, str]

The service tag dictionary. Tags are mutable.

location str

The name of the Azure location/region.

properties Mapping[str, str]

The service properties dictionary. Properties are immutable.

service_name str

Name of the Azure Machine Learning service.

ssl_certificate str

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

ssl_enabled bool

Whether or not SSL is enabled.

ssl_key str

The public SSL key in PEM format for the certificate.

vnet_configuration ACIServiceCreateRequestVnetConfigurationArgs

The virtual network configuration.

resourceGroupName String

Name of the resource group in which workspace is located.

workspaceName String

Name of Azure Machine Learning workspace.

appInsightsEnabled Boolean

Whether or not Application Insights is enabled.

authEnabled Boolean

Whether or not authentication is enabled on the service.

cname String

The CName for the service.

containerResourceRequirements Property Map

The container resource requirements.

dataCollection Property Map

Details of the data collection options specified.

description String

The description of the service.

dnsNameLabel String

The Dns label for the service.

encryptionProperties Property Map

The encryption properties.

environmentImageRequest Property Map

The Environment, models and assets needed for inferencing.

keys Property Map

The authentication keys.

kvTags Map<String>

The service tag dictionary. Tags are mutable.

location String

The name of the Azure location/region.

properties Map<String>

The service properties dictionary. Properties are immutable.

serviceName String

Name of the Azure Machine Learning service.

sslCertificate String

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

sslEnabled Boolean

Whether or not SSL is enabled.

sslKey String

The public SSL key in PEM format for the certificate.

vnetConfiguration Property Map

The virtual network configuration.

Outputs

All input properties are implicitly available as output properties. Additionally, the ACIService resource produces the following output properties:

Id string

The provider-assigned unique ID for this managed resource.

Name string

Specifies the name of the resource.

SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse

Read only system data

Type string

Specifies the type of the resource.

Identity Pulumi.AzureNative.MachineLearningServices.Outputs.IdentityResponse

The identity of the resource.

Sku Pulumi.AzureNative.MachineLearningServices.Outputs.SkuResponse

The sku of the workspace.

Tags Dictionary<string, string>

Contains resource tags defined as key/value pairs.

Id string

The provider-assigned unique ID for this managed resource.

Name string

Specifies the name of the resource.

SystemData SystemDataResponse

Read only system data

Type string

Specifies the type of the resource.

Identity IdentityResponse

The identity of the resource.

Sku SkuResponse

The sku of the workspace.

Tags map[string]string

Contains resource tags defined as key/value pairs.

id String

The provider-assigned unique ID for this managed resource.

name String

Specifies the name of the resource.

systemData SystemDataResponse

Read only system data

type String

Specifies the type of the resource.

identity IdentityResponse

The identity of the resource.

sku SkuResponse

The sku of the workspace.

tags Map<String,String>

Contains resource tags defined as key/value pairs.

id string

The provider-assigned unique ID for this managed resource.

name string

Specifies the name of the resource.

systemData SystemDataResponse

Read only system data

type string

Specifies the type of the resource.

identity IdentityResponse

The identity of the resource.

sku SkuResponse

The sku of the workspace.

tags {[key: string]: string}

Contains resource tags defined as key/value pairs.

id str

The provider-assigned unique ID for this managed resource.

name str

Specifies the name of the resource.

system_data SystemDataResponse

Read only system data

type str

Specifies the type of the resource.

identity IdentityResponse

The identity of the resource.

sku SkuResponse

The sku of the workspace.

tags Mapping[str, str]

Contains resource tags defined as key/value pairs.

id String

The provider-assigned unique ID for this managed resource.

name String

Specifies the name of the resource.

systemData Property Map

Read only system data

type String

Specifies the type of the resource.

identity Property Map

The identity of the resource.

sku Property Map

The sku of the workspace.

tags Map<String>

Contains resource tags defined as key/value pairs.

Supporting Types

ACIServiceCreateRequestDataCollection

EventHubEnabled bool

Option for enabling/disabling Event Hub.

StorageEnabled bool

Option for enabling/disabling storage.

EventHubEnabled bool

Option for enabling/disabling Event Hub.

StorageEnabled bool

Option for enabling/disabling storage.

eventHubEnabled Boolean

Option for enabling/disabling Event Hub.

storageEnabled Boolean

Option for enabling/disabling storage.

eventHubEnabled boolean

Option for enabling/disabling Event Hub.

storageEnabled boolean

Option for enabling/disabling storage.

event_hub_enabled bool

Option for enabling/disabling Event Hub.

storage_enabled bool

Option for enabling/disabling storage.

eventHubEnabled Boolean

Option for enabling/disabling Event Hub.

storageEnabled Boolean

Option for enabling/disabling storage.

ACIServiceCreateRequestEncryptionProperties

KeyName string

Encryption Key name

KeyVersion string

Encryption Key Version

VaultBaseUrl string

vault base Url

KeyName string

Encryption Key name

KeyVersion string

Encryption Key Version

VaultBaseUrl string

vault base Url

keyName String

Encryption Key name

keyVersion String

Encryption Key Version

vaultBaseUrl String

vault base Url

keyName string

Encryption Key name

keyVersion string

Encryption Key Version

vaultBaseUrl string

vault base Url

key_name str

Encryption Key name

key_version str

Encryption Key Version

vault_base_url str

vault base Url

keyName String

Encryption Key name

keyVersion String

Encryption Key Version

vaultBaseUrl String

vault base Url

ACIServiceCreateRequestVnetConfiguration

SubnetName string

The name of the virtual network subnet.

VnetName string

The name of the virtual network.

SubnetName string

The name of the virtual network subnet.

VnetName string

The name of the virtual network.

subnetName String

The name of the virtual network subnet.

vnetName String

The name of the virtual network.

subnetName string

The name of the virtual network subnet.

vnetName string

The name of the virtual network.

subnet_name str

The name of the virtual network subnet.

vnet_name str

The name of the virtual network.

subnetName String

The name of the virtual network subnet.

vnetName String

The name of the virtual network.

ACIServiceResponseResponse

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ServiceResponseBaseResponseError

The error details.

ModelConfigMap Dictionary<string, object>

Details on the models and configurations.

ScoringUri string

The Uri for sending scoring requests.

State string

The current state of the service.

SwaggerUri string

The Uri for sending swagger requests.

AppInsightsEnabled bool

Whether or not Application Insights is enabled.

AuthEnabled bool

Whether or not authentication is enabled on the service.

Cname string

The CName for the service.

ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse

The container resource requirements.

DataCollection Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseDataCollection

Details of the data collection options specified.

DeploymentType string

The deployment type for the service.

Description string

The service description.

EncryptionProperties Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseEncryptionProperties

The encryption properties.

EnvironmentImageRequest Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

KvTags Dictionary<string, string>

The service tag dictionary. Tags are mutable.

Location string

The name of the Azure location/region.

Models List<Pulumi.AzureNative.MachineLearningServices.Inputs.ModelResponse>

The list of models.

Properties Dictionary<string, string>

The service property dictionary. Properties are immutable.

PublicFqdn string

The public Fqdn for the service.

PublicIp string

The public IP address for the service.

SslCertificate string

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

SslEnabled bool

Whether or not SSL is enabled.

SslKey string

The public SSL key in PEM format for the certificate.

VnetConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseVnetConfiguration

The virtual network configuration.

Error ServiceResponseBaseResponseError

The error details.

ModelConfigMap map[string]interface{}

Details on the models and configurations.

ScoringUri string

The Uri for sending scoring requests.

State string

The current state of the service.

SwaggerUri string

The Uri for sending swagger requests.

AppInsightsEnabled bool

Whether or not Application Insights is enabled.

AuthEnabled bool

Whether or not authentication is enabled on the service.

Cname string

The CName for the service.

ContainerResourceRequirements ContainerResourceRequirementsResponse

The container resource requirements.

DataCollection ACIServiceResponseResponseDataCollection

Details of the data collection options specified.

DeploymentType string

The deployment type for the service.

Description string

The service description.

EncryptionProperties ACIServiceResponseResponseEncryptionProperties

The encryption properties.

EnvironmentImageRequest ACIServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

KvTags map[string]string

The service tag dictionary. Tags are mutable.

Location string

The name of the Azure location/region.

Models []ModelResponse

The list of models.

Properties map[string]string

The service property dictionary. Properties are immutable.

PublicFqdn string

The public Fqdn for the service.

PublicIp string

The public IP address for the service.

SslCertificate string

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

SslEnabled bool

Whether or not SSL is enabled.

SslKey string

The public SSL key in PEM format for the certificate.

VnetConfiguration ACIServiceResponseResponseVnetConfiguration

The virtual network configuration.

error ServiceResponseBaseResponseError

The error details.

modelConfigMap Map<String,Object>

Details on the models and configurations.

scoringUri String

The Uri for sending scoring requests.

state String

The current state of the service.

swaggerUri String

The Uri for sending swagger requests.

appInsightsEnabled Boolean

Whether or not Application Insights is enabled.

authEnabled Boolean

Whether or not authentication is enabled on the service.

cname String

The CName for the service.

containerResourceRequirements ContainerResourceRequirementsResponse

The container resource requirements.

dataCollection ACIServiceResponseResponseDataCollection

Details of the data collection options specified.

deploymentType String

The deployment type for the service.

description String

The service description.

encryptionProperties ACIServiceResponseResponseEncryptionProperties

The encryption properties.

environmentImageRequest ACIServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

kvTags Map<String,String>

The service tag dictionary. Tags are mutable.

location String

The name of the Azure location/region.

models List<ModelResponse>

The list of models.

properties Map<String,String>

The service property dictionary. Properties are immutable.

publicFqdn String

The public Fqdn for the service.

publicIp String

The public IP address for the service.

sslCertificate String

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

sslEnabled Boolean

Whether or not SSL is enabled.

sslKey String

The public SSL key in PEM format for the certificate.

vnetConfiguration ACIServiceResponseResponseVnetConfiguration

The virtual network configuration.

error ServiceResponseBaseResponseError

The error details.

modelConfigMap {[key: string]: any}

Details on the models and configurations.

scoringUri string

The Uri for sending scoring requests.

state string

The current state of the service.

swaggerUri string

The Uri for sending swagger requests.

appInsightsEnabled boolean

Whether or not Application Insights is enabled.

authEnabled boolean

Whether or not authentication is enabled on the service.

cname string

The CName for the service.

containerResourceRequirements ContainerResourceRequirementsResponse

The container resource requirements.

dataCollection ACIServiceResponseResponseDataCollection

Details of the data collection options specified.

deploymentType string

The deployment type for the service.

description string

The service description.

encryptionProperties ACIServiceResponseResponseEncryptionProperties

The encryption properties.

environmentImageRequest ACIServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

kvTags {[key: string]: string}

The service tag dictionary. Tags are mutable.

location string

The name of the Azure location/region.

models ModelResponse[]

The list of models.

properties {[key: string]: string}

The service property dictionary. Properties are immutable.

publicFqdn string

The public Fqdn for the service.

publicIp string

The public IP address for the service.

sslCertificate string

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

sslEnabled boolean

Whether or not SSL is enabled.

sslKey string

The public SSL key in PEM format for the certificate.

vnetConfiguration ACIServiceResponseResponseVnetConfiguration

The virtual network configuration.

error ServiceResponseBaseResponseError

The error details.

model_config_map Mapping[str, Any]

Details on the models and configurations.

scoring_uri str

The Uri for sending scoring requests.

state str

The current state of the service.

swagger_uri str

The Uri for sending swagger requests.

app_insights_enabled bool

Whether or not Application Insights is enabled.

auth_enabled bool

Whether or not authentication is enabled on the service.

cname str

The CName for the service.

container_resource_requirements ContainerResourceRequirementsResponse

The container resource requirements.

data_collection ACIServiceResponseResponseDataCollection

Details of the data collection options specified.

deployment_type str

The deployment type for the service.

description str

The service description.

encryption_properties ACIServiceResponseResponseEncryptionProperties

The encryption properties.

environment_image_request ACIServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

kv_tags Mapping[str, str]

The service tag dictionary. Tags are mutable.

location str

The name of the Azure location/region.

models Sequence[ModelResponse]

The list of models.

properties Mapping[str, str]

The service property dictionary. Properties are immutable.

public_fqdn str

The public Fqdn for the service.

public_ip str

The public IP address for the service.

ssl_certificate str

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

ssl_enabled bool

Whether or not SSL is enabled.

ssl_key str

The public SSL key in PEM format for the certificate.

vnet_configuration ACIServiceResponseResponseVnetConfiguration

The virtual network configuration.

error Property Map

The error details.

modelConfigMap Map<Any>

Details on the models and configurations.

scoringUri String

The Uri for sending scoring requests.

state String

The current state of the service.

swaggerUri String

The Uri for sending swagger requests.

appInsightsEnabled Boolean

Whether or not Application Insights is enabled.

authEnabled Boolean

Whether or not authentication is enabled on the service.

cname String

The CName for the service.

containerResourceRequirements Property Map

The container resource requirements.

dataCollection Property Map

Details of the data collection options specified.

deploymentType String

The deployment type for the service.

description String

The service description.

encryptionProperties Property Map

The encryption properties.

environmentImageRequest Property Map

The Environment, models and assets used for inferencing.

kvTags Map<String>

The service tag dictionary. Tags are mutable.

location String

The name of the Azure location/region.

models List<Property Map>

The list of models.

properties Map<String>

The service property dictionary. Properties are immutable.

publicFqdn String

The public Fqdn for the service.

publicIp String

The public IP address for the service.

sslCertificate String

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

sslEnabled Boolean

Whether or not SSL is enabled.

sslKey String

The public SSL key in PEM format for the certificate.

vnetConfiguration Property Map

The virtual network configuration.

ACIServiceResponseResponseDataCollection

EventHubEnabled bool

Option for enabling/disabling Event Hub.

StorageEnabled bool

Option for enabling/disabling storage.

EventHubEnabled bool

Option for enabling/disabling Event Hub.

StorageEnabled bool

Option for enabling/disabling storage.

eventHubEnabled Boolean

Option for enabling/disabling Event Hub.

storageEnabled Boolean

Option for enabling/disabling storage.

eventHubEnabled boolean

Option for enabling/disabling Event Hub.

storageEnabled boolean

Option for enabling/disabling storage.

event_hub_enabled bool

Option for enabling/disabling Event Hub.

storage_enabled bool

Option for enabling/disabling storage.

eventHubEnabled Boolean

Option for enabling/disabling Event Hub.

storageEnabled Boolean

Option for enabling/disabling storage.

ACIServiceResponseResponseEncryptionProperties

KeyName string

Encryption Key name

KeyVersion string

Encryption Key Version

VaultBaseUrl string

vault base Url

KeyName string

Encryption Key name

KeyVersion string

Encryption Key Version

VaultBaseUrl string

vault base Url

keyName String

Encryption Key name

keyVersion String

Encryption Key Version

vaultBaseUrl String

vault base Url

keyName string

Encryption Key name

keyVersion string

Encryption Key Version

vaultBaseUrl string

vault base Url

key_name str

Encryption Key name

key_version str

Encryption Key Version

vault_base_url str

vault base Url

keyName String

Encryption Key name

keyVersion String

Encryption Key Version

vaultBaseUrl String

vault base Url

ACIServiceResponseResponseEnvironmentImageRequest

Assets []ImageAssetResponse

The list of assets.

DriverProgram string

The name of the driver file.

Environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

EnvironmentReference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

ModelIds []string

The list of model Ids.

Models []ModelResponse

The list of models.

assets List<ImageAssetResponse>

The list of assets.

driverProgram String

The name of the driver file.

environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

environmentReference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

modelIds List<String>

The list of model Ids.

models List<ModelResponse>

The list of models.

assets ImageAssetResponse[]

The list of assets.

driverProgram string

The name of the driver file.

environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

environmentReference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

modelIds string[]

The list of model Ids.

models ModelResponse[]

The list of models.

assets Sequence[ImageAssetResponse]

The list of assets.

driver_program str

The name of the driver file.

environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

environment_reference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

model_ids Sequence[str]

The list of model Ids.

models Sequence[ModelResponse]

The list of models.

assets List<Property Map>

The list of assets.

driverProgram String

The name of the driver file.

environment Property Map

The details of the AZURE ML environment.

environmentReference Property Map

The unique identifying details of the AZURE ML environment.

modelIds List<String>

The list of model Ids.

models List<Property Map>

The list of models.

ACIServiceResponseResponseVnetConfiguration

SubnetName string

The name of the virtual network subnet.

VnetName string

The name of the virtual network.

SubnetName string

The name of the virtual network subnet.

VnetName string

The name of the virtual network.

subnetName String

The name of the virtual network subnet.

vnetName String

The name of the virtual network.

subnetName string

The name of the virtual network subnet.

vnetName string

The name of the virtual network.

subnet_name str

The name of the virtual network subnet.

vnet_name str

The name of the virtual network.

subnetName String

The name of the virtual network subnet.

vnetName String

The name of the virtual network.

AKSReplicaStatusResponseError

Error ErrorResponseResponse

The error response.

error ErrorResponseResponse

The error response.

error ErrorResponseResponse

The error response.

error ErrorResponseResponse

The error response.

error Property Map

The error response.

AKSServiceResponseResponse

DeploymentStatus Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseDeploymentStatus

The deployment status.

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ServiceResponseBaseResponseError

The error details.

ModelConfigMap Dictionary<string, object>

Details on the models and configurations.

ScoringUri string

The Uri for sending scoring requests.

State string

The current state of the service.

SwaggerUri string

The Uri for sending swagger requests.

AadAuthEnabled bool

Whether or not AAD authentication is enabled.

AppInsightsEnabled bool

Whether or not Application Insights is enabled.

AuthEnabled bool

Whether or not authentication is enabled.

AutoScaler Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseAutoScaler

The auto scaler properties.

ComputeName string

The name of the compute resource.

ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse

The container resource requirements.

DataCollection Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseDataCollection

Details of the data collection options specified.

DeploymentType string

The deployment type for the service.

Description string

The service description.

EnvironmentImageRequest Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

IsDefault bool

Is this the default variant.

KvTags Dictionary<string, string>

The service tag dictionary. Tags are mutable.

LivenessProbeRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseLivenessProbeRequirements

The liveness probe requirements.

MaxConcurrentRequestsPerContainer int

The maximum number of concurrent requests per container.

MaxQueueWaitMs int

Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)

Models List<Pulumi.AzureNative.MachineLearningServices.Inputs.ModelResponse>

The list of models.

Namespace string

The Kubernetes namespace of the deployment.

NumReplicas int

The number of replicas on the cluster.

Properties Dictionary<string, string>

The service property dictionary. Properties are immutable.

ScoringTimeoutMs int

The scoring timeout in milliseconds.

TrafficPercentile double

The amount of traffic variant receives.

Type string

The type of the variant.

DeploymentStatus AKSServiceResponseResponseDeploymentStatus

The deployment status.

Error ServiceResponseBaseResponseError

The error details.

ModelConfigMap map[string]interface{}

Details on the models and configurations.

ScoringUri string

The Uri for sending scoring requests.

State string

The current state of the service.

SwaggerUri string

The Uri for sending swagger requests.

AadAuthEnabled bool

Whether or not AAD authentication is enabled.

AppInsightsEnabled bool

Whether or not Application Insights is enabled.

AuthEnabled bool

Whether or not authentication is enabled.

AutoScaler AKSServiceResponseResponseAutoScaler

The auto scaler properties.

ComputeName string

The name of the compute resource.

ContainerResourceRequirements ContainerResourceRequirementsResponse

The container resource requirements.

DataCollection AKSServiceResponseResponseDataCollection

Details of the data collection options specified.

DeploymentType string

The deployment type for the service.

Description string

The service description.

EnvironmentImageRequest AKSServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

IsDefault bool

Is this the default variant.

KvTags map[string]string

The service tag dictionary. Tags are mutable.

LivenessProbeRequirements AKSServiceResponseResponseLivenessProbeRequirements

The liveness probe requirements.

MaxConcurrentRequestsPerContainer int

The maximum number of concurrent requests per container.

MaxQueueWaitMs int

Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)

Models []ModelResponse

The list of models.

Namespace string

The Kubernetes namespace of the deployment.

NumReplicas int

The number of replicas on the cluster.

Properties map[string]string

The service property dictionary. Properties are immutable.

ScoringTimeoutMs int

The scoring timeout in milliseconds.

TrafficPercentile float64

The amount of traffic variant receives.

Type string

The type of the variant.

deploymentStatus AKSServiceResponseResponseDeploymentStatus

The deployment status.

error ServiceResponseBaseResponseError

The error details.

modelConfigMap Map<String,Object>

Details on the models and configurations.

scoringUri String

The Uri for sending scoring requests.

state String

The current state of the service.

swaggerUri String

The Uri for sending swagger requests.

aadAuthEnabled Boolean

Whether or not AAD authentication is enabled.

appInsightsEnabled Boolean

Whether or not Application Insights is enabled.

authEnabled Boolean

Whether or not authentication is enabled.

autoScaler AKSServiceResponseResponseAutoScaler

The auto scaler properties.

computeName String

The name of the compute resource.

containerResourceRequirements ContainerResourceRequirementsResponse

The container resource requirements.

dataCollection AKSServiceResponseResponseDataCollection

Details of the data collection options specified.

deploymentType String

The deployment type for the service.

description String

The service description.

environmentImageRequest AKSServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

isDefault Boolean

Is this the default variant.

kvTags Map<String,String>

The service tag dictionary. Tags are mutable.

livenessProbeRequirements AKSServiceResponseResponseLivenessProbeRequirements

The liveness probe requirements.

maxConcurrentRequestsPerContainer Integer

The maximum number of concurrent requests per container.

maxQueueWaitMs Integer

Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)

models List<ModelResponse>

The list of models.

namespace String

The Kubernetes namespace of the deployment.

numReplicas Integer

The number of replicas on the cluster.

properties Map<String,String>

The service property dictionary. Properties are immutable.

scoringTimeoutMs Integer

The scoring timeout in milliseconds.

trafficPercentile Double

The amount of traffic variant receives.

type String

The type of the variant.

deploymentStatus AKSServiceResponseResponseDeploymentStatus

The deployment status.

error ServiceResponseBaseResponseError

The error details.

modelConfigMap {[key: string]: any}

Details on the models and configurations.

scoringUri string

The Uri for sending scoring requests.

state string

The current state of the service.

swaggerUri string

The Uri for sending swagger requests.

aadAuthEnabled boolean

Whether or not AAD authentication is enabled.

appInsightsEnabled boolean

Whether or not Application Insights is enabled.

authEnabled boolean

Whether or not authentication is enabled.

autoScaler AKSServiceResponseResponseAutoScaler

The auto scaler properties.

computeName string

The name of the compute resource.

containerResourceRequirements ContainerResourceRequirementsResponse

The container resource requirements.

dataCollection AKSServiceResponseResponseDataCollection

Details of the data collection options specified.

deploymentType string

The deployment type for the service.

description string

The service description.

environmentImageRequest AKSServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

isDefault boolean

Is this the default variant.

kvTags {[key: string]: string}

The service tag dictionary. Tags are mutable.

livenessProbeRequirements AKSServiceResponseResponseLivenessProbeRequirements

The liveness probe requirements.

maxConcurrentRequestsPerContainer number

The maximum number of concurrent requests per container.

maxQueueWaitMs number

Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)

models ModelResponse[]

The list of models.

namespace string

The Kubernetes namespace of the deployment.

numReplicas number

The number of replicas on the cluster.

properties {[key: string]: string}

The service property dictionary. Properties are immutable.

scoringTimeoutMs number

The scoring timeout in milliseconds.

trafficPercentile number

The amount of traffic variant receives.

type string

The type of the variant.

deployment_status AKSServiceResponseResponseDeploymentStatus

The deployment status.

error ServiceResponseBaseResponseError

The error details.

model_config_map Mapping[str, Any]

Details on the models and configurations.

scoring_uri str

The Uri for sending scoring requests.

state str

The current state of the service.

swagger_uri str

The Uri for sending swagger requests.

aad_auth_enabled bool

Whether or not AAD authentication is enabled.

app_insights_enabled bool

Whether or not Application Insights is enabled.

auth_enabled bool

Whether or not authentication is enabled.

auto_scaler AKSServiceResponseResponseAutoScaler

The auto scaler properties.

compute_name str

The name of the compute resource.

container_resource_requirements ContainerResourceRequirementsResponse

The container resource requirements.

data_collection AKSServiceResponseResponseDataCollection

Details of the data collection options specified.

deployment_type str

The deployment type for the service.

description str

The service description.

environment_image_request AKSServiceResponseResponseEnvironmentImageRequest

The Environment, models and assets used for inferencing.

is_default bool

Is this the default variant.

kv_tags Mapping[str, str]

The service tag dictionary. Tags are mutable.

liveness_probe_requirements AKSServiceResponseResponseLivenessProbeRequirements

The liveness probe requirements.

max_concurrent_requests_per_container int

The maximum number of concurrent requests per container.

max_queue_wait_ms int

Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)

models Sequence[ModelResponse]

The list of models.

namespace str

The Kubernetes namespace of the deployment.

num_replicas int

The number of replicas on the cluster.

properties Mapping[str, str]

The service property dictionary. Properties are immutable.

scoring_timeout_ms int

The scoring timeout in milliseconds.

traffic_percentile float

The amount of traffic variant receives.

type str

The type of the variant.

deploymentStatus Property Map

The deployment status.

error Property Map

The error details.

modelConfigMap Map<Any>

Details on the models and configurations.

scoringUri String

The Uri for sending scoring requests.

state String

The current state of the service.

swaggerUri String

The Uri for sending swagger requests.

aadAuthEnabled Boolean

Whether or not AAD authentication is enabled.

appInsightsEnabled Boolean

Whether or not Application Insights is enabled.

authEnabled Boolean

Whether or not authentication is enabled.

autoScaler Property Map

The auto scaler properties.

computeName String

The name of the compute resource.

containerResourceRequirements Property Map

The container resource requirements.

dataCollection Property Map

Details of the data collection options specified.

deploymentType String

The deployment type for the service.

description String

The service description.

environmentImageRequest Property Map

The Environment, models and assets used for inferencing.

isDefault Boolean

Is this the default variant.

kvTags Map<String>

The service tag dictionary. Tags are mutable.

livenessProbeRequirements Property Map

The liveness probe requirements.

maxConcurrentRequestsPerContainer Number

The maximum number of concurrent requests per container.

maxQueueWaitMs Number

Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)

models List<Property Map>

The list of models.

namespace String

The Kubernetes namespace of the deployment.

numReplicas Number

The number of replicas on the cluster.

properties Map<String>

The service property dictionary. Properties are immutable.

scoringTimeoutMs Number

The scoring timeout in milliseconds.

trafficPercentile Number

The amount of traffic variant receives.

type String

The type of the variant.

AKSServiceResponseResponseAutoScaler

AutoscaleEnabled bool

Option to enable/disable auto scaling.

MaxReplicas int

The maximum number of replicas in the cluster.

MinReplicas int

The minimum number of replicas to scale down to.

RefreshPeriodInSeconds int

The amount of seconds to wait between auto scale updates.

TargetUtilization int

The target utilization percentage to use for determining whether to scale the cluster.

AutoscaleEnabled bool

Option to enable/disable auto scaling.

MaxReplicas int

The maximum number of replicas in the cluster.

MinReplicas int

The minimum number of replicas to scale down to.

RefreshPeriodInSeconds int

The amount of seconds to wait between auto scale updates.

TargetUtilization int

The target utilization percentage to use for determining whether to scale the cluster.

autoscaleEnabled Boolean

Option to enable/disable auto scaling.

maxReplicas Integer

The maximum number of replicas in the cluster.

minReplicas Integer

The minimum number of replicas to scale down to.

refreshPeriodInSeconds Integer

The amount of seconds to wait between auto scale updates.

targetUtilization Integer

The target utilization percentage to use for determining whether to scale the cluster.

autoscaleEnabled boolean

Option to enable/disable auto scaling.

maxReplicas number

The maximum number of replicas in the cluster.

minReplicas number

The minimum number of replicas to scale down to.

refreshPeriodInSeconds number

The amount of seconds to wait between auto scale updates.

targetUtilization number

The target utilization percentage to use for determining whether to scale the cluster.

autoscale_enabled bool

Option to enable/disable auto scaling.

max_replicas int

The maximum number of replicas in the cluster.

min_replicas int

The minimum number of replicas to scale down to.

refresh_period_in_seconds int

The amount of seconds to wait between auto scale updates.

target_utilization int

The target utilization percentage to use for determining whether to scale the cluster.

autoscaleEnabled Boolean

Option to enable/disable auto scaling.

maxReplicas Number

The maximum number of replicas in the cluster.

minReplicas Number

The minimum number of replicas to scale down to.

refreshPeriodInSeconds Number

The amount of seconds to wait between auto scale updates.

targetUtilization Number

The target utilization percentage to use for determining whether to scale the cluster.

AKSServiceResponseResponseDataCollection

EventHubEnabled bool

Option for enabling/disabling Event Hub.

StorageEnabled bool

Option for enabling/disabling storage.

EventHubEnabled bool

Option for enabling/disabling Event Hub.

StorageEnabled bool

Option for enabling/disabling storage.

eventHubEnabled Boolean

Option for enabling/disabling Event Hub.

storageEnabled Boolean

Option for enabling/disabling storage.

eventHubEnabled boolean

Option for enabling/disabling Event Hub.

storageEnabled boolean

Option for enabling/disabling storage.

event_hub_enabled bool

Option for enabling/disabling Event Hub.

storage_enabled bool

Option for enabling/disabling storage.

eventHubEnabled Boolean

Option for enabling/disabling Event Hub.

storageEnabled Boolean

Option for enabling/disabling storage.

AKSServiceResponseResponseDeploymentStatus

AvailableReplicas int

The number of available replicas.

DesiredReplicas int

The desired number of replicas.

Error Pulumi.AzureNative.MachineLearningServices.Inputs.AKSReplicaStatusResponseError

The error details.

UpdatedReplicas int

The number of updated replicas.

AvailableReplicas int

The number of available replicas.

DesiredReplicas int

The desired number of replicas.

Error AKSReplicaStatusResponseError

The error details.

UpdatedReplicas int

The number of updated replicas.

availableReplicas Integer

The number of available replicas.

desiredReplicas Integer

The desired number of replicas.

error AKSReplicaStatusResponseError

The error details.

updatedReplicas Integer

The number of updated replicas.

availableReplicas number

The number of available replicas.

desiredReplicas number

The desired number of replicas.

error AKSReplicaStatusResponseError

The error details.

updatedReplicas number

The number of updated replicas.

available_replicas int

The number of available replicas.

desired_replicas int

The desired number of replicas.

error AKSReplicaStatusResponseError

The error details.

updated_replicas int

The number of updated replicas.

availableReplicas Number

The number of available replicas.

desiredReplicas Number

The desired number of replicas.

error Property Map

The error details.

updatedReplicas Number

The number of updated replicas.

AKSServiceResponseResponseEnvironmentImageRequest

Assets []ImageAssetResponse

The list of assets.

DriverProgram string

The name of the driver file.

Environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

EnvironmentReference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

ModelIds []string

The list of model Ids.

Models []ModelResponse

The list of models.

assets List<ImageAssetResponse>

The list of assets.

driverProgram String

The name of the driver file.

environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

environmentReference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

modelIds List<String>

The list of model Ids.

models List<ModelResponse>

The list of models.

assets ImageAssetResponse[]

The list of assets.

driverProgram string

The name of the driver file.

environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

environmentReference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

modelIds string[]

The list of model Ids.

models ModelResponse[]

The list of models.

assets Sequence[ImageAssetResponse]

The list of assets.

driver_program str

The name of the driver file.

environment EnvironmentImageResponseResponseEnvironment

The details of the AZURE ML environment.

environment_reference EnvironmentImageResponseResponseEnvironmentReference

The unique identifying details of the AZURE ML environment.

model_ids Sequence[str]

The list of model Ids.

models Sequence[ModelResponse]

The list of models.

assets List<Property Map>

The list of assets.

driverProgram String

The name of the driver file.

environment Property Map

The details of the AZURE ML environment.

environmentReference Property Map

The unique identifying details of the AZURE ML environment.

modelIds List<String>

The list of model Ids.

models List<Property Map>

The list of models.

AKSServiceResponseResponseLivenessProbeRequirements

FailureThreshold int

The number of failures to allow before returning an unhealthy status.

InitialDelaySeconds int

The delay before the first probe in seconds.

PeriodSeconds int

The length of time between probes in seconds.

SuccessThreshold int

The number of successful probes before returning a healthy status.

TimeoutSeconds int

The probe timeout in seconds.

FailureThreshold int

The number of failures to allow before returning an unhealthy status.

InitialDelaySeconds int

The delay before the first probe in seconds.

PeriodSeconds int

The length of time between probes in seconds.

SuccessThreshold int

The number of successful probes before returning a healthy status.

TimeoutSeconds int

The probe timeout in seconds.

failureThreshold Integer

The number of failures to allow before returning an unhealthy status.

initialDelaySeconds Integer

The delay before the first probe in seconds.

periodSeconds Integer

The length of time between probes in seconds.

successThreshold Integer

The number of successful probes before returning a healthy status.

timeoutSeconds Integer

The probe timeout in seconds.

failureThreshold number

The number of failures to allow before returning an unhealthy status.

initialDelaySeconds number

The delay before the first probe in seconds.

periodSeconds number

The length of time between probes in seconds.

successThreshold number

The number of successful probes before returning a healthy status.

timeoutSeconds number

The probe timeout in seconds.

failure_threshold int

The number of failures to allow before returning an unhealthy status.

initial_delay_seconds int

The delay before the first probe in seconds.

period_seconds int

The length of time between probes in seconds.

success_threshold int

The number of successful probes before returning a healthy status.

timeout_seconds int

The probe timeout in seconds.

failureThreshold Number

The number of failures to allow before returning an unhealthy status.

initialDelaySeconds Number

The delay before the first probe in seconds.

periodSeconds Number

The length of time between probes in seconds.

successThreshold Number

The number of successful probes before returning a healthy status.

timeoutSeconds Number

The probe timeout in seconds.

AKSVariantResponseResponse

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ServiceResponseBaseResponseError

The error details.

State string

The current state of the service.

DeploymentType string

The deployment type for the service.

Description string

The service description.

IsDefault bool

Is this the default variant.

KvTags Dictionary<string, string>

The service tag dictionary. Tags are mutable.

Properties Dictionary<string, string>

The service property dictionary. Properties are immutable.

TrafficPercentile double

The amount of traffic variant receives.

Type string

The type of the variant.

Error ServiceResponseBaseResponseError

The error details.

State string

The current state of the service.

DeploymentType string

The deployment type for the service.

Description string

The service description.

IsDefault bool

Is this the default variant.

KvTags map[string]string

The service tag dictionary. Tags are mutable.

Properties map[string]string

The service property dictionary. Properties are immutable.

TrafficPercentile float64

The amount of traffic variant receives.

Type string

The type of the variant.

error ServiceResponseBaseResponseError

The error details.

state String

The current state of the service.

deploymentType String

The deployment type for the service.

description String

The service description.

isDefault Boolean

Is this the default variant.

kvTags Map<String,String>

The service tag dictionary. Tags are mutable.

properties Map<String,String>

The service property dictionary. Properties are immutable.

trafficPercentile Double

The amount of traffic variant receives.

type String

The type of the variant.

error ServiceResponseBaseResponseError

The error details.

state string

The current state of the service.

deploymentType string

The deployment type for the service.

description string

The service description.

isDefault boolean

Is this the default variant.

kvTags {[key: string]: string}

The service tag dictionary. Tags are mutable.

properties {[key: string]: string}

The service property dictionary. Properties are immutable.

trafficPercentile number

The amount of traffic variant receives.

type string

The type of the variant.

error ServiceResponseBaseResponseError

The error details.

state str

The current state of the service.

deployment_type str

The deployment type for the service.

description str

The service description.

is_default bool

Is this the default variant.

kv_tags Mapping[str, str]

The service tag dictionary. Tags are mutable.

properties Mapping[str, str]

The service property dictionary. Properties are immutable.

traffic_percentile float

The amount of traffic variant receives.

type str

The type of the variant.

error Property Map

The error details.

state String

The current state of the service.

deploymentType String

The deployment type for the service.

description String

The service description.

isDefault Boolean

Is this the default variant.

kvTags Map<String>

The service tag dictionary. Tags are mutable.

properties Map<String>

The service property dictionary. Properties are immutable.

trafficPercentile Number

The amount of traffic variant receives.

type String

The type of the variant.

ContainerResourceRequirements

Cpu double

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

CpuLimit double

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Fpga int

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

Gpu int

The number of GPU cores in the container.

MemoryInGB double

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

MemoryInGBLimit double

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Cpu float64

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

CpuLimit float64

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Fpga int

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

Gpu int

The number of GPU cores in the container.

MemoryInGB float64

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

MemoryInGBLimit float64

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu Double

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpuLimit Double

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga Integer

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu Integer

The number of GPU cores in the container.

memoryInGB Double

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memoryInGBLimit Double

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu number

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpuLimit number

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga number

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu number

The number of GPU cores in the container.

memoryInGB number

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memoryInGBLimit number

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu float

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu_limit float

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga int

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu int

The number of GPU cores in the container.

memory_in_gb float

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memory_in_gb_limit float

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu Number

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpuLimit Number

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga Number

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu Number

The number of GPU cores in the container.

memoryInGB Number

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memoryInGBLimit Number

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

ContainerResourceRequirementsResponse

Cpu double

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

CpuLimit double

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Fpga int

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

Gpu int

The number of GPU cores in the container.

MemoryInGB double

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

MemoryInGBLimit double

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Cpu float64

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

CpuLimit float64

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Fpga int

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

Gpu int

The number of GPU cores in the container.

MemoryInGB float64

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

MemoryInGBLimit float64

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu Double

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpuLimit Double

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga Integer

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu Integer

The number of GPU cores in the container.

memoryInGB Double

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memoryInGBLimit Double

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu number

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpuLimit number

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga number

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu number

The number of GPU cores in the container.

memoryInGB number

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memoryInGBLimit number

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu float

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu_limit float

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga int

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu int

The number of GPU cores in the container.

memory_in_gb float

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memory_in_gb_limit float

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu Number

The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpuLimit Number

The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

fpga Number

The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.

gpu Number

The number of GPU cores in the container.

memoryInGB Number

The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

memoryInGBLimit Number

The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

CreateServiceRequestEnvironmentImageRequest

Assets []ImageAsset

The list of assets.

DriverProgram string

The name of the driver file.

Environment EnvironmentImageRequestEnvironment

The details of the AZURE ML environment.

EnvironmentReference EnvironmentImageRequestEnvironmentReference

The unique identifying details of the AZURE ML environment.

ModelIds []string

The list of model Ids.

Models []Model

The list of models.

assets List<ImageAsset>

The list of assets.

driverProgram String

The name of the driver file.

environment EnvironmentImageRequestEnvironment

The details of the AZURE ML environment.

environmentReference EnvironmentImageRequestEnvironmentReference

The unique identifying details of the AZURE ML environment.

modelIds List<String>

The list of model Ids.

models List<Model>

The list of models.

assets ImageAsset[]

The list of assets.

driverProgram string

The name of the driver file.

environment EnvironmentImageRequestEnvironment

The details of the AZURE ML environment.

environmentReference EnvironmentImageRequestEnvironmentReference

The unique identifying details of the AZURE ML environment.

modelIds string[]

The list of model Ids.

models Model[]

The list of models.

assets Sequence[ImageAsset]

The list of assets.

driver_program str

The name of the driver file.

environment EnvironmentImageRequestEnvironment

The details of the AZURE ML environment.

environment_reference EnvironmentImageRequestEnvironmentReference

The unique identifying details of the AZURE ML environment.

model_ids Sequence[str]

The list of model Ids.

models Sequence[Model]

The list of models.

assets List<Property Map>

The list of assets.

driverProgram String

The name of the driver file.

environment Property Map

The details of the AZURE ML environment.

environmentReference Property Map

The unique identifying details of the AZURE ML environment.

modelIds List<String>

The list of model Ids.

models List<Property Map>

The list of models.

CreateServiceRequestKeys

PrimaryKey string

The primary key.

SecondaryKey string

The secondary key.

PrimaryKey string

The primary key.

SecondaryKey string

The secondary key.

primaryKey String

The primary key.

secondaryKey String

The secondary key.

primaryKey string

The primary key.

secondaryKey string

The secondary key.

primary_key str

The primary key.

secondary_key str

The secondary key.

primaryKey String

The primary key.

secondaryKey String

The secondary key.

DatasetReference

Id string

The id of the dataset reference.

Name string

The name of the dataset reference.

Id string

The id of the dataset reference.

Name string

The name of the dataset reference.

id String

The id of the dataset reference.

name String

The name of the dataset reference.

id string

The id of the dataset reference.

name string

The name of the dataset reference.

id str

The id of the dataset reference.

name str

The name of the dataset reference.

id String

The id of the dataset reference.

name String

The name of the dataset reference.

DatasetReferenceResponse

Id string

The id of the dataset reference.

Name string

The name of the dataset reference.

Id string

The id of the dataset reference.

Name string

The name of the dataset reference.

id String

The id of the dataset reference.

name String

The name of the dataset reference.

id string

The id of the dataset reference.

name string

The name of the dataset reference.

id str

The id of the dataset reference.

name str

The name of the dataset reference.

id String

The id of the dataset reference.

name String

The name of the dataset reference.

EnvironmentImageRequestEnvironment

Docker Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionDocker

The definition of a Docker container.

EnvironmentVariables Dictionary<string, string>

Definition of environment variables to be defined in the environment.

InferencingStackVersion string

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

Name string

The name of the environment.

Python Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionPython

Settings for a Python environment.

R Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionR

Settings for a R environment.

Spark Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionSpark

The configuration for a Spark environment.

Version string

The environment version.

Docker ModelEnvironmentDefinitionDocker

The definition of a Docker container.

EnvironmentVariables map[string]string

Definition of environment variables to be defined in the environment.

InferencingStackVersion string

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

Name string

The name of the environment.

Python ModelEnvironmentDefinitionPython

Settings for a Python environment.

R ModelEnvironmentDefinitionR

Settings for a R environment.

Spark ModelEnvironmentDefinitionSpark

The configuration for a Spark environment.

Version string

The environment version.

docker ModelEnvironmentDefinitionDocker

The definition of a Docker container.

environmentVariables Map<String,String>

Definition of environment variables to be defined in the environment.

inferencingStackVersion String

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name String

The name of the environment.

python ModelEnvironmentDefinitionPython

Settings for a Python environment.

r ModelEnvironmentDefinitionR

Settings for a R environment.

spark ModelEnvironmentDefinitionSpark

The configuration for a Spark environment.

version String

The environment version.

docker ModelEnvironmentDefinitionDocker

The definition of a Docker container.

environmentVariables {[key: string]: string}

Definition of environment variables to be defined in the environment.

inferencingStackVersion string

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name string

The name of the environment.

python ModelEnvironmentDefinitionPython

Settings for a Python environment.

r ModelEnvironmentDefinitionR

Settings for a R environment.

spark ModelEnvironmentDefinitionSpark

The configuration for a Spark environment.

version string

The environment version.

docker ModelEnvironmentDefinitionDocker

The definition of a Docker container.

environment_variables Mapping[str, str]

Definition of environment variables to be defined in the environment.

inferencing_stack_version str

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name str

The name of the environment.

python ModelEnvironmentDefinitionPython

Settings for a Python environment.

r ModelEnvironmentDefinitionR

Settings for a R environment.

spark ModelEnvironmentDefinitionSpark

The configuration for a Spark environment.

version str

The environment version.

docker Property Map

The definition of a Docker container.

environmentVariables Map<String>

Definition of environment variables to be defined in the environment.

inferencingStackVersion String

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name String

The name of the environment.

python Property Map

Settings for a Python environment.

r Property Map

Settings for a R environment.

spark Property Map

The configuration for a Spark environment.

version String

The environment version.

EnvironmentImageRequestEnvironmentReference

Name string

Name of the environment.

Version string

Version of the environment.

Name string

Name of the environment.

Version string

Version of the environment.

name String

Name of the environment.

version String

Version of the environment.

name string

Name of the environment.

version string

Version of the environment.

name str

Name of the environment.

version str

Version of the environment.

name String

Name of the environment.

version String

Version of the environment.

EnvironmentImageResponseResponseEnvironment

Docker Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponseDocker

The definition of a Docker container.

EnvironmentVariables Dictionary<string, string>

Definition of environment variables to be defined in the environment.

InferencingStackVersion string

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

Name string

The name of the environment.

Python Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponsePython

Settings for a Python environment.

R Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponseR

Settings for a R environment.

Spark Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponseSpark

The configuration for a Spark environment.

Version string

The environment version.

Docker ModelEnvironmentDefinitionResponseResponseDocker

The definition of a Docker container.

EnvironmentVariables map[string]string

Definition of environment variables to be defined in the environment.

InferencingStackVersion string

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

Name string

The name of the environment.

Python ModelEnvironmentDefinitionResponseResponsePython

Settings for a Python environment.

R ModelEnvironmentDefinitionResponseResponseR

Settings for a R environment.

Spark ModelEnvironmentDefinitionResponseResponseSpark

The configuration for a Spark environment.

Version string

The environment version.

docker ModelEnvironmentDefinitionResponseResponseDocker

The definition of a Docker container.

environmentVariables Map<String,String>

Definition of environment variables to be defined in the environment.

inferencingStackVersion String

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name String

The name of the environment.

python ModelEnvironmentDefinitionResponseResponsePython

Settings for a Python environment.

r ModelEnvironmentDefinitionResponseResponseR

Settings for a R environment.

spark ModelEnvironmentDefinitionResponseResponseSpark

The configuration for a Spark environment.

version String

The environment version.

docker ModelEnvironmentDefinitionResponseResponseDocker

The definition of a Docker container.

environmentVariables {[key: string]: string}

Definition of environment variables to be defined in the environment.

inferencingStackVersion string

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name string

The name of the environment.

python ModelEnvironmentDefinitionResponseResponsePython

Settings for a Python environment.

r ModelEnvironmentDefinitionResponseResponseR

Settings for a R environment.

spark ModelEnvironmentDefinitionResponseResponseSpark

The configuration for a Spark environment.

version string

The environment version.

docker ModelEnvironmentDefinitionResponseResponseDocker

The definition of a Docker container.

environment_variables Mapping[str, str]

Definition of environment variables to be defined in the environment.

inferencing_stack_version str

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name str

The name of the environment.

python ModelEnvironmentDefinitionResponseResponsePython

Settings for a Python environment.

r ModelEnvironmentDefinitionResponseResponseR

Settings for a R environment.

spark ModelEnvironmentDefinitionResponseResponseSpark

The configuration for a Spark environment.

version str

The environment version.

docker Property Map

The definition of a Docker container.

environmentVariables Map<String>

Definition of environment variables to be defined in the environment.

inferencingStackVersion String

The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".

name String

The name of the environment.

python Property Map

Settings for a Python environment.

r Property Map

Settings for a R environment.

spark Property Map

The configuration for a Spark environment.

version String

The environment version.

EnvironmentImageResponseResponseEnvironmentReference

Name string

Name of the environment.

Version string

Version of the environment.

Name string

Name of the environment.

Version string

Version of the environment.

name String

Name of the environment.

version String

Version of the environment.

name string

Name of the environment.

version string

Version of the environment.

name str

Name of the environment.

version str

Version of the environment.

name String

Name of the environment.

version String

Version of the environment.

ErrorDetailResponse

Code string

Error code.

Message string

Error message.

Code string

Error code.

Message string

Error message.

code String

Error code.

message String

Error message.

code string

Error code.

message string

Error message.

code str

Error code.

message str

Error message.

code String

Error code.

message String

Error message.

ErrorResponseResponse

Code string

Error code.

Details List<Pulumi.AzureNative.MachineLearningServices.Inputs.ErrorDetailResponse>

An array of error detail objects.

Message string

Error message.

Code string

Error code.

Details []ErrorDetailResponse

An array of error detail objects.

Message string

Error message.

code String

Error code.

details List<ErrorDetailResponse>

An array of error detail objects.

message String

Error message.

code string

Error code.

details ErrorDetailResponse[]

An array of error detail objects.

message string

Error message.

code str

Error code.

details Sequence[ErrorDetailResponse]

An array of error detail objects.

message str

Error message.

code String

Error code.

details List<Property Map>

An array of error detail objects.

message String

Error message.

IdentityResponse

PrincipalId string

The principal ID of resource identity.

TenantId string

The tenant ID of resource.

Type string

The identity type.

UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>

The user assigned identities associated with the resource.

PrincipalId string

The principal ID of resource identity.

TenantId string

The tenant ID of resource.

Type string

The identity type.

UserAssignedIdentities map[string]UserAssignedIdentityResponse

The user assigned identities associated with the resource.

principalId String

The principal ID of resource identity.

tenantId String

The tenant ID of resource.

type String

The identity type.

userAssignedIdentities Map<String,UserAssignedIdentityResponse>

The user assigned identities associated with the resource.

principalId string

The principal ID of resource identity.

tenantId string

The tenant ID of resource.

type string

The identity type.

userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}

The user assigned identities associated with the resource.

principal_id str

The principal ID of resource identity.

tenant_id str

The tenant ID of resource.

type str

The identity type.

user_assigned_identities Mapping[str, UserAssignedIdentityResponse]

The user assigned identities associated with the resource.

principalId String

The principal ID of resource identity.

tenantId String

The tenant ID of resource.

type String

The identity type.

userAssignedIdentities Map<Property Map>

The user assigned identities associated with the resource.

ImageAsset

Id string

The Asset Id.

MimeType string

The mime type.

Unpack bool

Whether the Asset is unpacked.

Url string

The Url of the Asset.

Id string

The Asset Id.

MimeType string

The mime type.

Unpack bool

Whether the Asset is unpacked.

Url string

The Url of the Asset.

id String

The Asset Id.

mimeType String

The mime type.

unpack Boolean

Whether the Asset is unpacked.

url String

The Url of the Asset.

id string

The Asset Id.

mimeType string

The mime type.

unpack boolean

Whether the Asset is unpacked.

url string

The Url of the Asset.

id str

The Asset Id.

mime_type str

The mime type.

unpack bool

Whether the Asset is unpacked.

url str

The Url of the Asset.

id String

The Asset Id.

mimeType String

The mime type.

unpack Boolean

Whether the Asset is unpacked.

url String

The Url of the Asset.

ImageAssetResponse

Id string

The Asset Id.

MimeType string

The mime type.

Unpack bool

Whether the Asset is unpacked.

Url string

The Url of the Asset.

Id string

The Asset Id.

MimeType string

The mime type.

Unpack bool

Whether the Asset is unpacked.

Url string

The Url of the Asset.

id String

The Asset Id.

mimeType String

The mime type.

unpack Boolean

Whether the Asset is unpacked.

url String

The Url of the Asset.

id string

The Asset Id.

mimeType string

The mime type.

unpack boolean

Whether the Asset is unpacked.

url string

The Url of the Asset.

id str

The Asset Id.

mime_type str

The mime type.

unpack bool

Whether the Asset is unpacked.

url str

The Url of the Asset.

id String

The Asset Id.

mimeType String

The mime type.

unpack Boolean

Whether the Asset is unpacked.

url String

The Url of the Asset.

Model

MimeType string

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

Name string

The Model name.

Url string

The URL of the Model. Usually a SAS URL.

CreatedTime string

The Model creation time (UTC).

Datasets List<Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetReference>

The list of datasets associated with the model.

DerivedModelIds List<string>

Models derived from this model

Description string

The Model description text.

ExperimentName string

The name of the experiment where this model was created.

Framework string

The Model framework.

FrameworkVersion string

The Model framework version.

Id string

The Model Id.

KvTags Dictionary<string, string>

The Model tag dictionary. Items are mutable.

ModifiedTime string

The Model last modified time (UTC).

ParentModelId string

The Parent Model Id.

Properties Dictionary<string, string>

The Model property dictionary. Properties are immutable.

ResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirements

Resource requirements for the model

RunId string

The RunId that created this model.

SampleInputData string

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

SampleOutputData string

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

Unpack bool

Indicates whether we need to unpack the Model during docker Image creation.

Version double

The Model version assigned by Model Management Service.

MimeType string

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

Name string

The Model name.

Url string

The URL of the Model. Usually a SAS URL.

CreatedTime string

The Model creation time (UTC).

Datasets []DatasetReference

The list of datasets associated with the model.

DerivedModelIds []string

Models derived from this model

Description string

The Model description text.

ExperimentName string

The name of the experiment where this model was created.

Framework string

The Model framework.

FrameworkVersion string

The Model framework version.

Id string

The Model Id.

KvTags map[string]string

The Model tag dictionary. Items are mutable.

ModifiedTime string

The Model last modified time (UTC).

ParentModelId string

The Parent Model Id.

Properties map[string]string

The Model property dictionary. Properties are immutable.

ResourceRequirements ContainerResourceRequirements

Resource requirements for the model

RunId string

The RunId that created this model.

SampleInputData string

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

SampleOutputData string

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

Unpack bool

Indicates whether we need to unpack the Model during docker Image creation.

Version float64

The Model version assigned by Model Management Service.

mimeType String

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name String

The Model name.

url String

The URL of the Model. Usually a SAS URL.

createdTime String

The Model creation time (UTC).

datasets List<DatasetReference>

The list of datasets associated with the model.

derivedModelIds List<String>

Models derived from this model

description String

The Model description text.

experimentName String

The name of the experiment where this model was created.

framework String

The Model framework.

frameworkVersion String

The Model framework version.

id String

The Model Id.

kvTags Map<String,String>

The Model tag dictionary. Items are mutable.

modifiedTime String

The Model last modified time (UTC).

parentModelId String

The Parent Model Id.

properties Map<String,String>

The Model property dictionary. Properties are immutable.

resourceRequirements ContainerResourceRequirements

Resource requirements for the model

runId String

The RunId that created this model.

sampleInputData String

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sampleOutputData String

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack Boolean

Indicates whether we need to unpack the Model during docker Image creation.

version Double

The Model version assigned by Model Management Service.

mimeType string

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name string

The Model name.

url string

The URL of the Model. Usually a SAS URL.

createdTime string

The Model creation time (UTC).

datasets DatasetReference[]

The list of datasets associated with the model.

derivedModelIds string[]

Models derived from this model

description string

The Model description text.

experimentName string

The name of the experiment where this model was created.

framework string

The Model framework.

frameworkVersion string

The Model framework version.

id string

The Model Id.

kvTags {[key: string]: string}

The Model tag dictionary. Items are mutable.

modifiedTime string

The Model last modified time (UTC).

parentModelId string

The Parent Model Id.

properties {[key: string]: string}

The Model property dictionary. Properties are immutable.

resourceRequirements ContainerResourceRequirements

Resource requirements for the model

runId string

The RunId that created this model.

sampleInputData string

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sampleOutputData string

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack boolean

Indicates whether we need to unpack the Model during docker Image creation.

version number

The Model version assigned by Model Management Service.

mime_type str

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name str

The Model name.

url str

The URL of the Model. Usually a SAS URL.

created_time str

The Model creation time (UTC).

datasets Sequence[DatasetReference]

The list of datasets associated with the model.

derived_model_ids Sequence[str]

Models derived from this model

description str

The Model description text.

experiment_name str

The name of the experiment where this model was created.

framework str

The Model framework.

framework_version str

The Model framework version.

id str

The Model Id.

kv_tags Mapping[str, str]

The Model tag dictionary. Items are mutable.

modified_time str

The Model last modified time (UTC).

parent_model_id str

The Parent Model Id.

properties Mapping[str, str]

The Model property dictionary. Properties are immutable.

resource_requirements ContainerResourceRequirements

Resource requirements for the model

run_id str

The RunId that created this model.

sample_input_data str

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sample_output_data str

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack bool

Indicates whether we need to unpack the Model during docker Image creation.

version float

The Model version assigned by Model Management Service.

mimeType String

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name String

The Model name.

url String

The URL of the Model. Usually a SAS URL.

createdTime String

The Model creation time (UTC).

datasets List<Property Map>

The list of datasets associated with the model.

derivedModelIds List<String>

Models derived from this model

description String

The Model description text.

experimentName String

The name of the experiment where this model was created.

framework String

The Model framework.

frameworkVersion String

The Model framework version.

id String

The Model Id.

kvTags Map<String>

The Model tag dictionary. Items are mutable.

modifiedTime String

The Model last modified time (UTC).

parentModelId String

The Parent Model Id.

properties Map<String>

The Model property dictionary. Properties are immutable.

resourceRequirements Property Map

Resource requirements for the model

runId String

The RunId that created this model.

sampleInputData String

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sampleOutputData String

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack Boolean

Indicates whether we need to unpack the Model during docker Image creation.

version Number

The Model version assigned by Model Management Service.

ModelDockerSectionBaseImageRegistry

Address string
Password string
Username string
Address string
Password string
Username string
address String
password String
username String
address string
password string
username string
address String
password String
username String

ModelDockerSectionResponseResponseBaseImageRegistry

Address string
Address string
address String
address string
address String

ModelEnvironmentDefinitionDocker

BaseDockerfile string

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

BaseImage string

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

BaseImageRegistry Pulumi.AzureNative.MachineLearningServices.Inputs.ModelDockerSectionBaseImageRegistry

Image registry that contains the base image.

BaseDockerfile string

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

BaseImage string

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

BaseImageRegistry ModelDockerSectionBaseImageRegistry

Image registry that contains the base image.

baseDockerfile String

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

baseImage String

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

baseImageRegistry ModelDockerSectionBaseImageRegistry

Image registry that contains the base image.

baseDockerfile string

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

baseImage string

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

baseImageRegistry ModelDockerSectionBaseImageRegistry

Image registry that contains the base image.

base_dockerfile str

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

base_image str

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

base_image_registry ModelDockerSectionBaseImageRegistry

Image registry that contains the base image.

baseDockerfile String

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

baseImage String

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

baseImageRegistry Property Map

Image registry that contains the base image.

ModelEnvironmentDefinitionPython

BaseCondaEnvironment string
CondaDependencies object

A JObject containing Conda dependencies.

InterpreterPath string

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

UserManagedDependencies bool

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

BaseCondaEnvironment string
CondaDependencies interface{}

A JObject containing Conda dependencies.

InterpreterPath string

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

UserManagedDependencies bool

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment String
condaDependencies Object

A JObject containing Conda dependencies.

interpreterPath String

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

userManagedDependencies Boolean

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment string
condaDependencies any

A JObject containing Conda dependencies.

interpreterPath string

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

userManagedDependencies boolean

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

base_conda_environment str
conda_dependencies Any

A JObject containing Conda dependencies.

interpreter_path str

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

user_managed_dependencies bool

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment String
condaDependencies Any

A JObject containing Conda dependencies.

interpreterPath String

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

userManagedDependencies Boolean

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

ModelEnvironmentDefinitionR

BioConductorPackages List<string>

The packages from Bioconductor.

CranPackages List<Pulumi.AzureNative.MachineLearningServices.Inputs.RCranPackage>

The CRAN packages to use.

CustomUrlPackages List<string>

The packages from custom urls.

GitHubPackages List<Pulumi.AzureNative.MachineLearningServices.Inputs.RGitHubPackage>

The packages directly from GitHub.

RVersion string

The version of R to be installed

RscriptPath string

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

SnapshotDate string

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

UserManaged bool

Indicates whether the environment is managed by user or by AzureML.

BioConductorPackages []string

The packages from Bioconductor.

CranPackages []RCranPackage

The CRAN packages to use.

CustomUrlPackages []string

The packages from custom urls.

GitHubPackages []RGitHubPackage

The packages directly from GitHub.

RVersion string

The version of R to be installed

RscriptPath string

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

SnapshotDate string

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

UserManaged bool

Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages List<String>

The packages from Bioconductor.

cranPackages List<RCranPackage>

The CRAN packages to use.

customUrlPackages List<String>

The packages from custom urls.

gitHubPackages List<RGitHubPackage>

The packages directly from GitHub.

rVersion String

The version of R to be installed

rscriptPath String

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshotDate String

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

userManaged Boolean

Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages string[]

The packages from Bioconductor.

cranPackages RCranPackage[]

The CRAN packages to use.

customUrlPackages string[]

The packages from custom urls.

gitHubPackages RGitHubPackage[]

The packages directly from GitHub.

rVersion string

The version of R to be installed

rscriptPath string

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshotDate string

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

userManaged boolean

Indicates whether the environment is managed by user or by AzureML.

bio_conductor_packages Sequence[str]

The packages from Bioconductor.

cran_packages Sequence[RCranPackage]

The CRAN packages to use.

custom_url_packages Sequence[str]

The packages from custom urls.

git_hub_packages Sequence[RGitHubPackage]

The packages directly from GitHub.

r_version str

The version of R to be installed

rscript_path str

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshot_date str

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

user_managed bool

Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages List<String>

The packages from Bioconductor.

cranPackages List<Property Map>

The CRAN packages to use.

customUrlPackages List<String>

The packages from custom urls.

gitHubPackages List<Property Map>

The packages directly from GitHub.

rVersion String

The version of R to be installed

rscriptPath String

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshotDate String

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

userManaged Boolean

Indicates whether the environment is managed by user or by AzureML.

ModelEnvironmentDefinitionResponseResponseDocker

BaseDockerfile string

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

BaseImage string

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

BaseImageRegistry Pulumi.AzureNative.MachineLearningServices.Inputs.ModelDockerSectionResponseResponseBaseImageRegistry

Image registry that contains the base image.

BaseDockerfile string

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

BaseImage string

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

BaseImageRegistry ModelDockerSectionResponseResponseBaseImageRegistry

Image registry that contains the base image.

baseDockerfile String

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

baseImage String

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

baseImageRegistry ModelDockerSectionResponseResponseBaseImageRegistry

Image registry that contains the base image.

baseDockerfile string

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

baseImage string

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

baseImageRegistry ModelDockerSectionResponseResponseBaseImageRegistry

Image registry that contains the base image.

base_dockerfile str

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

base_image str

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

base_image_registry ModelDockerSectionResponseResponseBaseImageRegistry

Image registry that contains the base image.

baseDockerfile String

Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.

baseImage String

Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.

baseImageRegistry Property Map

Image registry that contains the base image.

ModelEnvironmentDefinitionResponseResponsePython

BaseCondaEnvironment string
CondaDependencies object

A JObject containing Conda dependencies.

InterpreterPath string

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

UserManagedDependencies bool

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

BaseCondaEnvironment string
CondaDependencies interface{}

A JObject containing Conda dependencies.

InterpreterPath string

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

UserManagedDependencies bool

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment String
condaDependencies Object

A JObject containing Conda dependencies.

interpreterPath String

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

userManagedDependencies Boolean

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment string
condaDependencies any

A JObject containing Conda dependencies.

interpreterPath string

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

userManagedDependencies boolean

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

base_conda_environment str
conda_dependencies Any

A JObject containing Conda dependencies.

interpreter_path str

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

user_managed_dependencies bool

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment String
condaDependencies Any

A JObject containing Conda dependencies.

interpreterPath String

The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.

userManagedDependencies Boolean

True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

ModelEnvironmentDefinitionResponseResponseR

BioConductorPackages List<string>

The packages from Bioconductor.

CranPackages List<Pulumi.AzureNative.MachineLearningServices.Inputs.RCranPackageResponse>

The CRAN packages to use.

CustomUrlPackages List<string>

The packages from custom urls.

GitHubPackages List<Pulumi.AzureNative.MachineLearningServices.Inputs.RGitHubPackageResponseResponse>

The packages directly from GitHub.

RVersion string

The version of R to be installed

RscriptPath string

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

SnapshotDate string

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

UserManaged bool

Indicates whether the environment is managed by user or by AzureML.

BioConductorPackages []string

The packages from Bioconductor.

CranPackages []RCranPackageResponse

The CRAN packages to use.

CustomUrlPackages []string

The packages from custom urls.

GitHubPackages []RGitHubPackageResponseResponse

The packages directly from GitHub.

RVersion string

The version of R to be installed

RscriptPath string

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

SnapshotDate string

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

UserManaged bool

Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages List<String>

The packages from Bioconductor.

cranPackages List<RCranPackageResponse>

The CRAN packages to use.

customUrlPackages List<String>

The packages from custom urls.

gitHubPackages List<RGitHubPackageResponseResponse>

The packages directly from GitHub.

rVersion String

The version of R to be installed

rscriptPath String

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshotDate String

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

userManaged Boolean

Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages string[]

The packages from Bioconductor.

cranPackages RCranPackageResponse[]

The CRAN packages to use.

customUrlPackages string[]

The packages from custom urls.

gitHubPackages RGitHubPackageResponseResponse[]

The packages directly from GitHub.

rVersion string

The version of R to be installed

rscriptPath string

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshotDate string

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

userManaged boolean

Indicates whether the environment is managed by user or by AzureML.

bio_conductor_packages Sequence[str]

The packages from Bioconductor.

cran_packages Sequence[RCranPackageResponse]

The CRAN packages to use.

custom_url_packages Sequence[str]

The packages from custom urls.

git_hub_packages Sequence[RGitHubPackageResponseResponse]

The packages directly from GitHub.

r_version str

The version of R to be installed

rscript_path str

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshot_date str

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

user_managed bool

Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages List<String>

The packages from Bioconductor.

cranPackages List<Property Map>

The CRAN packages to use.

customUrlPackages List<String>

The packages from custom urls.

gitHubPackages List<Property Map>

The packages directly from GitHub.

rVersion String

The version of R to be installed

rscriptPath String

The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.

snapshotDate String

Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"

userManaged Boolean

Indicates whether the environment is managed by user or by AzureML.

ModelEnvironmentDefinitionResponseResponseSpark

Packages List<Pulumi.AzureNative.MachineLearningServices.Inputs.SparkMavenPackageResponse>

The Spark packages to use.

PrecachePackages bool

Whether to precache the packages.

Repositories List<string>

The list of spark repositories.

Packages []SparkMavenPackageResponse

The Spark packages to use.

PrecachePackages bool

Whether to precache the packages.

Repositories []string

The list of spark repositories.

packages List<SparkMavenPackageResponse>

The Spark packages to use.

precachePackages Boolean

Whether to precache the packages.

repositories List<String>

The list of spark repositories.

packages SparkMavenPackageResponse[]

The Spark packages to use.

precachePackages boolean

Whether to precache the packages.

repositories string[]

The list of spark repositories.

packages Sequence[SparkMavenPackageResponse]

The Spark packages to use.

precache_packages bool

Whether to precache the packages.

repositories Sequence[str]

The list of spark repositories.

packages List<Property Map>

The Spark packages to use.

precachePackages Boolean

Whether to precache the packages.

repositories List<String>

The list of spark repositories.

ModelEnvironmentDefinitionSpark

Packages List<Pulumi.AzureNative.MachineLearningServices.Inputs.SparkMavenPackage>

The Spark packages to use.

PrecachePackages bool

Whether to precache the packages.

Repositories List<string>

The list of spark repositories.

Packages []SparkMavenPackage

The Spark packages to use.

PrecachePackages bool

Whether to precache the packages.

Repositories []string

The list of spark repositories.

packages List<SparkMavenPackage>

The Spark packages to use.

precachePackages Boolean

Whether to precache the packages.

repositories List<String>

The list of spark repositories.

packages SparkMavenPackage[]

The Spark packages to use.

precachePackages boolean

Whether to precache the packages.

repositories string[]

The list of spark repositories.

packages Sequence[SparkMavenPackage]

The Spark packages to use.

precache_packages bool

Whether to precache the packages.

repositories Sequence[str]

The list of spark repositories.

packages List<Property Map>

The Spark packages to use.

precachePackages Boolean

Whether to precache the packages.

repositories List<String>

The list of spark repositories.

ModelResponse

MimeType string

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

Name string

The Model name.

Url string

The URL of the Model. Usually a SAS URL.

CreatedTime string

The Model creation time (UTC).

Datasets List<Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetReferenceResponse>

The list of datasets associated with the model.

DerivedModelIds List<string>

Models derived from this model

Description string

The Model description text.

ExperimentName string

The name of the experiment where this model was created.

Framework string

The Model framework.

FrameworkVersion string

The Model framework version.

Id string

The Model Id.

KvTags Dictionary<string, string>

The Model tag dictionary. Items are mutable.

ModifiedTime string

The Model last modified time (UTC).

ParentModelId string

The Parent Model Id.

Properties Dictionary<string, string>

The Model property dictionary. Properties are immutable.

ResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse

Resource requirements for the model

RunId string

The RunId that created this model.

SampleInputData string

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

SampleOutputData string

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

Unpack bool

Indicates whether we need to unpack the Model during docker Image creation.

Version double

The Model version assigned by Model Management Service.

MimeType string

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

Name string

The Model name.

Url string

The URL of the Model. Usually a SAS URL.

CreatedTime string

The Model creation time (UTC).

Datasets []DatasetReferenceResponse

The list of datasets associated with the model.

DerivedModelIds []string

Models derived from this model

Description string

The Model description text.

ExperimentName string

The name of the experiment where this model was created.

Framework string

The Model framework.

FrameworkVersion string

The Model framework version.

Id string

The Model Id.

KvTags map[string]string

The Model tag dictionary. Items are mutable.

ModifiedTime string

The Model last modified time (UTC).

ParentModelId string

The Parent Model Id.

Properties map[string]string

The Model property dictionary. Properties are immutable.

ResourceRequirements ContainerResourceRequirementsResponse

Resource requirements for the model

RunId string

The RunId that created this model.

SampleInputData string

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

SampleOutputData string

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

Unpack bool

Indicates whether we need to unpack the Model during docker Image creation.

Version float64

The Model version assigned by Model Management Service.

mimeType String

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name String

The Model name.

url String

The URL of the Model. Usually a SAS URL.

createdTime String

The Model creation time (UTC).

datasets List<DatasetReferenceResponse>

The list of datasets associated with the model.

derivedModelIds List<String>

Models derived from this model

description String

The Model description text.

experimentName String

The name of the experiment where this model was created.

framework String

The Model framework.

frameworkVersion String

The Model framework version.

id String

The Model Id.

kvTags Map<String,String>

The Model tag dictionary. Items are mutable.

modifiedTime String

The Model last modified time (UTC).

parentModelId String

The Parent Model Id.

properties Map<String,String>

The Model property dictionary. Properties are immutable.

resourceRequirements ContainerResourceRequirementsResponse

Resource requirements for the model

runId String

The RunId that created this model.

sampleInputData String

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sampleOutputData String

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack Boolean

Indicates whether we need to unpack the Model during docker Image creation.

version Double

The Model version assigned by Model Management Service.

mimeType string

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name string

The Model name.

url string

The URL of the Model. Usually a SAS URL.

createdTime string

The Model creation time (UTC).

datasets DatasetReferenceResponse[]

The list of datasets associated with the model.

derivedModelIds string[]

Models derived from this model

description string

The Model description text.

experimentName string

The name of the experiment where this model was created.

framework string

The Model framework.

frameworkVersion string

The Model framework version.

id string

The Model Id.

kvTags {[key: string]: string}

The Model tag dictionary. Items are mutable.

modifiedTime string

The Model last modified time (UTC).

parentModelId string

The Parent Model Id.

properties {[key: string]: string}

The Model property dictionary. Properties are immutable.

resourceRequirements ContainerResourceRequirementsResponse

Resource requirements for the model

runId string

The RunId that created this model.

sampleInputData string

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sampleOutputData string

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack boolean

Indicates whether we need to unpack the Model during docker Image creation.

version number

The Model version assigned by Model Management Service.

mime_type str

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name str

The Model name.

url str

The URL of the Model. Usually a SAS URL.

created_time str

The Model creation time (UTC).

datasets Sequence[DatasetReferenceResponse]

The list of datasets associated with the model.

derived_model_ids Sequence[str]

Models derived from this model

description str

The Model description text.

experiment_name str

The name of the experiment where this model was created.

framework str

The Model framework.

framework_version str

The Model framework version.

id str

The Model Id.

kv_tags Mapping[str, str]

The Model tag dictionary. Items are mutable.

modified_time str

The Model last modified time (UTC).

parent_model_id str

The Parent Model Id.

properties Mapping[str, str]

The Model property dictionary. Properties are immutable.

resource_requirements ContainerResourceRequirementsResponse

Resource requirements for the model

run_id str

The RunId that created this model.

sample_input_data str

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sample_output_data str

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack bool

Indicates whether we need to unpack the Model during docker Image creation.

version float

The Model version assigned by Model Management Service.

mimeType String

The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml

name String

The Model name.

url String

The URL of the Model. Usually a SAS URL.

createdTime String

The Model creation time (UTC).

datasets List<Property Map>

The list of datasets associated with the model.

derivedModelIds List<String>

Models derived from this model

description String

The Model description text.

experimentName String

The name of the experiment where this model was created.

framework String

The Model framework.

frameworkVersion String

The Model framework version.

id String

The Model Id.

kvTags Map<String>

The Model tag dictionary. Items are mutable.

modifiedTime String

The Model last modified time (UTC).

parentModelId String

The Parent Model Id.

properties Map<String>

The Model property dictionary. Properties are immutable.

resourceRequirements Property Map

Resource requirements for the model

runId String

The RunId that created this model.

sampleInputData String

Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

sampleOutputData String

Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}

unpack Boolean

Indicates whether we need to unpack the Model during docker Image creation.

version Number

The Model version assigned by Model Management Service.

RCranPackage

Name string

The package name.

Repository string

The repository name.

Name string

The package name.

Repository string

The repository name.

name String

The package name.

repository String

The repository name.

name string

The package name.

repository string

The repository name.

name str

The package name.

repository str

The repository name.

name String

The package name.

repository String

The repository name.

RCranPackageResponse

Name string

The package name.

Repository string

The repository name.

Name string

The package name.

Repository string

The repository name.

name String

The package name.

repository String

The repository name.

name string

The package name.

repository string

The repository name.

name str

The package name.

repository str

The repository name.

name String

The package name.

repository String

The repository name.

RGitHubPackage

AuthToken string

Personal access token to install from a private repo

Repository string

Repository address in the format username/repo[/subdir][@ref|#pull].

AuthToken string

Personal access token to install from a private repo

Repository string

Repository address in the format username/repo[/subdir][@ref|#pull].

authToken String

Personal access token to install from a private repo

repository String

Repository address in the format username/repo[/subdir][@ref|#pull].

authToken string

Personal access token to install from a private repo

repository string

Repository address in the format username/repo[/subdir][@ref|#pull].

auth_token str

Personal access token to install from a private repo

repository str

Repository address in the format username/repo[/subdir][@ref|#pull].

authToken String

Personal access token to install from a private repo

repository String

Repository address in the format username/repo[/subdir][@ref|#pull].

RGitHubPackageResponseResponse

Repository string

Repository address in the format username/repo[/subdir][@ref|#pull].

Repository string

Repository address in the format username/repo[/subdir][@ref|#pull].

repository String

Repository address in the format username/repo[/subdir][@ref|#pull].

repository string

Repository address in the format username/repo[/subdir][@ref|#pull].

repository str

Repository address in the format username/repo[/subdir][@ref|#pull].

repository String

Repository address in the format username/repo[/subdir][@ref|#pull].

ServiceResponseBaseResponseError

Error ErrorResponseResponse

The error response.

error ErrorResponseResponse

The error response.

error ErrorResponseResponse

The error response.

error ErrorResponseResponse

The error response.

error Property Map

The error response.

SkuResponse

Name string

Name of the sku

Tier string

Tier of the sku like Basic or Enterprise

Name string

Name of the sku

Tier string

Tier of the sku like Basic or Enterprise

name String

Name of the sku

tier String

Tier of the sku like Basic or Enterprise

name string

Name of the sku

tier string

Tier of the sku like Basic or Enterprise

name str

Name of the sku

tier str

Tier of the sku like Basic or Enterprise

name String

Name of the sku

tier String

Tier of the sku like Basic or Enterprise

SparkMavenPackage

Artifact string
Group string
Version string
Artifact string
Group string
Version string
artifact String
group String
version String
artifact string
group string
version string
artifact String
group String
version String

SparkMavenPackageResponse

Artifact string
Group string
Version string
Artifact string
Group string
Version string
artifact String
group String
version String
artifact string
group string
version string
artifact String
group String
version String

SystemDataResponse

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

UserAssignedIdentityResponse

ClientId string

The clientId(aka appId) of the user assigned identity.

PrincipalId string

The principal ID of the user assigned identity.

TenantId string

The tenant ID of the user assigned identity.

ClientId string

The clientId(aka appId) of the user assigned identity.

PrincipalId string

The principal ID of the user assigned identity.

TenantId string

The tenant ID of the user assigned identity.

clientId String

The clientId(aka appId) of the user assigned identity.

principalId String

The principal ID of the user assigned identity.

tenantId String

The tenant ID of the user assigned identity.

clientId string

The clientId(aka appId) of the user assigned identity.

principalId string

The principal ID of the user assigned identity.

tenantId string

The tenant ID of the user assigned identity.

client_id str

The clientId(aka appId) of the user assigned identity.

principal_id str

The principal ID of the user assigned identity.

tenant_id str

The tenant ID of the user assigned identity.

clientId String

The clientId(aka appId) of the user assigned identity.

principalId String

The principal ID of the user assigned identity.

tenantId String

The tenant ID of the user assigned identity.

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 

Package Details

Repository
https://github.com/pulumi/pulumi-azure-native
License
Apache-2.0