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

azure-native.machinelearningservices.EndpointVariant

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

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

    Example Usage

    Create Or Update service

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;

return await Deployment.RunAsync(() => 
{
    var endpointVariant = new AzureNative.MachineLearningServices.EndpointVariant("endpointVariant", new()
    {
        ResourceGroupName = "testrg123",
        ServiceName = "service456",
        WorkspaceName = "workspaces123",
    });

});

    package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewEndpointVariant(ctx, "endpointVariant", &machinelearningservices.EndpointVariantArgs{
			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.EndpointVariant;
import com.pulumi.azurenative.machinelearningservices.EndpointVariantArgs;
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 endpointVariant = new EndpointVariant("endpointVariant", EndpointVariantArgs.builder()        
            .resourceGroupName("testrg123")
            .serviceName("service456")
            .workspaceName("workspaces123")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

endpoint_variant = azure_native.machinelearningservices.EndpointVariant("endpointVariant",
    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 endpointVariant = new azure_native.machinelearningservices.EndpointVariant("endpointVariant", {
    resourceGroupName: "testrg123",
    serviceName: "service456",
    workspaceName: "workspaces123",
});

    resources:
  endpointVariant:
    type: azure-native:machinelearningservices:EndpointVariant
    properties:
      resourceGroupName: testrg123
      serviceName: service456
      workspaceName: workspaces123

    Create EndpointVariant Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new EndpointVariant(name: string, args: EndpointVariantArgs, opts?: CustomResourceOptions);
    @overload
def EndpointVariant(resource_name: str,
                    args: EndpointVariantArgs,
                    opts: Optional[ResourceOptions] = None)

@overload
def EndpointVariant(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    workspace_name: Optional[str] = None,
                    resource_group_name: Optional[str] = None,
                    location: Optional[str] = None,
                    keys: Optional[CreateServiceRequestKeysArgs] = None,
                    kv_tags: Optional[Mapping[str, str]] = None,
                    is_default: Optional[bool] = None,
                    properties: Optional[Mapping[str, str]] = None,
                    environment_image_request: Optional[CreateServiceRequestEnvironmentImageRequestArgs] = None,
                    service_name: Optional[str] = None,
                    traffic_percentile: Optional[float] = None,
                    type: Optional[Union[str, VariantType]] = None,
                    description: Optional[str] = None)
    func NewEndpointVariant(ctx *Context, name string, args EndpointVariantArgs, opts ...ResourceOption) (*EndpointVariant, error)
    public EndpointVariant(string name, EndpointVariantArgs args, CustomResourceOptions? opts = null)
    public EndpointVariant(String name, EndpointVariantArgs args)
public EndpointVariant(String name, EndpointVariantArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:EndpointVariant
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

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

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var endpointVariantResource = new AzureNative.Machinelearningservices.EndpointVariant("endpointVariantResource", new()
{
    ComputeType = "string",
    WorkspaceName = "string",
    ResourceGroupName = "string",
    Location = "string",
    Keys = 
    {
        { "primaryKey", "string" },
        { "secondaryKey", "string" },
    },
    KvTags = 
    {
        { "string", "string" },
    },
    IsDefault = false,
    Properties = 
    {
        { "string", "string" },
    },
    EnvironmentImageRequest = 
    {
        { "assets", new[]
        {
            
            {
                { "id", "string" },
                { "mimeType", "string" },
                { "unpack", false },
                { "url", "string" },
            },
        } },
        { "driverProgram", "string" },
        { "environment", 
        {
            { "docker", 
            {
                { "baseDockerfile", "string" },
                { "baseImage", "string" },
                { "baseImageRegistry", 
                {
                    { "address", "string" },
                    { "password", "string" },
                    { "username", "string" },
                } },
            } },
            { "environmentVariables", 
            {
                { "string", "string" },
            } },
            { "inferencingStackVersion", "string" },
            { "name", "string" },
            { "python", 
            {
                { "baseCondaEnvironment", "string" },
                { "condaDependencies", "any" },
                { "interpreterPath", "string" },
                { "userManagedDependencies", false },
            } },
            { "r", 
            {
                { "bioConductorPackages", new[]
                {
                    "string",
                } },
                { "cranPackages", new[]
                {
                    
                    {
                        { "name", "string" },
                        { "repository", "string" },
                    },
                } },
                { "customUrlPackages", new[]
                {
                    "string",
                } },
                { "gitHubPackages", new[]
                {
                    
                    {
                        { "authToken", "string" },
                        { "repository", "string" },
                    },
                } },
                { "rVersion", "string" },
                { "rscriptPath", "string" },
                { "snapshotDate", "string" },
                { "userManaged", false },
            } },
            { "spark", 
            {
                { "packages", new[]
                {
                    
                    {
                        { "artifact", "string" },
                        { "group", "string" },
                        { "version", "string" },
                    },
                } },
                { "precachePackages", false },
                { "repositories", new[]
                {
                    "string",
                } },
            } },
            { "version", "string" },
        } },
        { "environmentReference", 
        {
            { "name", "string" },
            { "version", "string" },
        } },
        { "modelIds", new[]
        {
            "string",
        } },
        { "models", new[]
        {
            
            {
                { "mimeType", "string" },
                { "url", "string" },
                { "name", "string" },
                { "modifiedTime", "string" },
                { "parentModelId", "string" },
                { "framework", "string" },
                { "frameworkVersion", "string" },
                { "id", "string" },
                { "kvTags", 
                {
                    { "string", "string" },
                } },
                { "description", "string" },
                { "createdTime", "string" },
                { "derivedModelIds", new[]
                {
                    "string",
                } },
                { "experimentName", "string" },
                { "properties", 
                {
                    { "string", "string" },
                } },
                { "resourceRequirements", 
                {
                    { "cpu", 0 },
                    { "cpuLimit", 0 },
                    { "fpga", 0 },
                    { "gpu", 0 },
                    { "memoryInGB", 0 },
                    { "memoryInGBLimit", 0 },
                } },
                { "runId", "string" },
                { "sampleInputData", "string" },
                { "sampleOutputData", "string" },
                { "unpack", false },
                { "datasets", new[]
                {
                    
                    {
                        { "id", "string" },
                        { "name", "string" },
                    },
                } },
                { "version", 0 },
            },
        } },
    },
    ServiceName = "string",
    TrafficPercentile = 0,
    Type = "string",
    Description = "string",
});

    example, err := machinelearningservices.NewEndpointVariant(ctx, "endpointVariantResource", &machinelearningservices.EndpointVariantArgs{
	ComputeType:       "string",
	WorkspaceName:     "string",
	ResourceGroupName: "string",
	Location:          "string",
	Keys: map[string]interface{}{
		"primaryKey":   "string",
		"secondaryKey": "string",
	},
	KvTags: map[string]interface{}{
		"string": "string",
	},
	IsDefault: false,
	Properties: map[string]interface{}{
		"string": "string",
	},
	EnvironmentImageRequest: map[string]interface{}{
		"assets": []map[string]interface{}{
			map[string]interface{}{
				"id":       "string",
				"mimeType": "string",
				"unpack":   false,
				"url":      "string",
			},
		},
		"driverProgram": "string",
		"environment": map[string]interface{}{
			"docker": map[string]interface{}{
				"baseDockerfile": "string",
				"baseImage":      "string",
				"baseImageRegistry": map[string]interface{}{
					"address":  "string",
					"password": "string",
					"username": "string",
				},
			},
			"environmentVariables": map[string]interface{}{
				"string": "string",
			},
			"inferencingStackVersion": "string",
			"name":                    "string",
			"python": map[string]interface{}{
				"baseCondaEnvironment":    "string",
				"condaDependencies":       "any",
				"interpreterPath":         "string",
				"userManagedDependencies": false,
			},
			"r": map[string]interface{}{
				"bioConductorPackages": []string{
					"string",
				},
				"cranPackages": []map[string]interface{}{
					map[string]interface{}{
						"name":       "string",
						"repository": "string",
					},
				},
				"customUrlPackages": []string{
					"string",
				},
				"gitHubPackages": []map[string]interface{}{
					map[string]interface{}{
						"authToken":  "string",
						"repository": "string",
					},
				},
				"rVersion":     "string",
				"rscriptPath":  "string",
				"snapshotDate": "string",
				"userManaged":  false,
			},
			"spark": map[string]interface{}{
				"packages": []map[string]interface{}{
					map[string]interface{}{
						"artifact": "string",
						"group":    "string",
						"version":  "string",
					},
				},
				"precachePackages": false,
				"repositories": []string{
					"string",
				},
			},
			"version": "string",
		},
		"environmentReference": map[string]interface{}{
			"name":    "string",
			"version": "string",
		},
		"modelIds": []string{
			"string",
		},
		"models": []map[string]interface{}{
			map[string]interface{}{
				"mimeType":         "string",
				"url":              "string",
				"name":             "string",
				"modifiedTime":     "string",
				"parentModelId":    "string",
				"framework":        "string",
				"frameworkVersion": "string",
				"id":               "string",
				"kvTags": map[string]interface{}{
					"string": "string",
				},
				"description": "string",
				"createdTime": "string",
				"derivedModelIds": []string{
					"string",
				},
				"experimentName": "string",
				"properties": map[string]interface{}{
					"string": "string",
				},
				"resourceRequirements": map[string]interface{}{
					"cpu":             0,
					"cpuLimit":        0,
					"fpga":            0,
					"gpu":             0,
					"memoryInGB":      0,
					"memoryInGBLimit": 0,
				},
				"runId":            "string",
				"sampleInputData":  "string",
				"sampleOutputData": "string",
				"unpack":           false,
				"datasets": []map[string]interface{}{
					map[string]interface{}{
						"id":   "string",
						"name": "string",
					},
				},
				"version": 0,
			},
		},
	},
	ServiceName:       "string",
	TrafficPercentile: 0,
	Type:              "string",
	Description:       "string",
})

    var endpointVariantResource = new EndpointVariant("endpointVariantResource", EndpointVariantArgs.builder()
    .computeType("string")
    .workspaceName("string")
    .resourceGroupName("string")
    .location("string")
    .keys(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .kvTags(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .isDefault(false)
    .properties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .environmentImageRequest(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .serviceName("string")
    .trafficPercentile(0)
    .type("string")
    .description("string")
    .build());

    endpoint_variant_resource = azure_native.machinelearningservices.EndpointVariant("endpointVariantResource",
    compute_type=string,
    workspace_name=string,
    resource_group_name=string,
    location=string,
    keys={
        primaryKey: string,
        secondaryKey: string,
    },
    kv_tags={
        string: string,
    },
    is_default=False,
    properties={
        string: string,
    },
    environment_image_request={
        assets: [{
            id: string,
            mimeType: string,
            unpack: False,
            url: string,
        }],
        driverProgram: string,
        environment: {
            docker: {
                baseDockerfile: string,
                baseImage: string,
                baseImageRegistry: {
                    address: string,
                    password: string,
                    username: string,
                },
            },
            environmentVariables: {
                string: string,
            },
            inferencingStackVersion: string,
            name: string,
            python: {
                baseCondaEnvironment: string,
                condaDependencies: any,
                interpreterPath: string,
                userManagedDependencies: False,
            },
            r: {
                bioConductorPackages: [string],
                cranPackages: [{
                    name: string,
                    repository: string,
                }],
                customUrlPackages: [string],
                gitHubPackages: [{
                    authToken: string,
                    repository: string,
                }],
                rVersion: string,
                rscriptPath: string,
                snapshotDate: string,
                userManaged: False,
            },
            spark: {
                packages: [{
                    artifact: string,
                    group: string,
                    version: string,
                }],
                precachePackages: False,
                repositories: [string],
            },
            version: string,
        },
        environmentReference: {
            name: string,
            version: string,
        },
        modelIds: [string],
        models: [{
            mimeType: string,
            url: string,
            name: string,
            modifiedTime: string,
            parentModelId: string,
            framework: string,
            frameworkVersion: string,
            id: string,
            kvTags: {
                string: string,
            },
            description: string,
            createdTime: string,
            derivedModelIds: [string],
            experimentName: string,
            properties: {
                string: string,
            },
            resourceRequirements: {
                cpu: 0,
                cpuLimit: 0,
                fpga: 0,
                gpu: 0,
                memoryInGB: 0,
                memoryInGBLimit: 0,
            },
            runId: string,
            sampleInputData: string,
            sampleOutputData: string,
            unpack: False,
            datasets: [{
                id: string,
                name: string,
            }],
            version: 0,
        }],
    },
    service_name=string,
    traffic_percentile=0,
    type=string,
    description=string)

    const endpointVariantResource = new azure_native.machinelearningservices.EndpointVariant("endpointVariantResource", {
    computeType: "string",
    workspaceName: "string",
    resourceGroupName: "string",
    location: "string",
    keys: {
        primaryKey: "string",
        secondaryKey: "string",
    },
    kvTags: {
        string: "string",
    },
    isDefault: false,
    properties: {
        string: "string",
    },
    environmentImageRequest: {
        assets: [{
            id: "string",
            mimeType: "string",
            unpack: false,
            url: "string",
        }],
        driverProgram: "string",
        environment: {
            docker: {
                baseDockerfile: "string",
                baseImage: "string",
                baseImageRegistry: {
                    address: "string",
                    password: "string",
                    username: "string",
                },
            },
            environmentVariables: {
                string: "string",
            },
            inferencingStackVersion: "string",
            name: "string",
            python: {
                baseCondaEnvironment: "string",
                condaDependencies: "any",
                interpreterPath: "string",
                userManagedDependencies: false,
            },
            r: {
                bioConductorPackages: ["string"],
                cranPackages: [{
                    name: "string",
                    repository: "string",
                }],
                customUrlPackages: ["string"],
                gitHubPackages: [{
                    authToken: "string",
                    repository: "string",
                }],
                rVersion: "string",
                rscriptPath: "string",
                snapshotDate: "string",
                userManaged: false,
            },
            spark: {
                packages: [{
                    artifact: "string",
                    group: "string",
                    version: "string",
                }],
                precachePackages: false,
                repositories: ["string"],
            },
            version: "string",
        },
        environmentReference: {
            name: "string",
            version: "string",
        },
        modelIds: ["string"],
        models: [{
            mimeType: "string",
            url: "string",
            name: "string",
            modifiedTime: "string",
            parentModelId: "string",
            framework: "string",
            frameworkVersion: "string",
            id: "string",
            kvTags: {
                string: "string",
            },
            description: "string",
            createdTime: "string",
            derivedModelIds: ["string"],
            experimentName: "string",
            properties: {
                string: "string",
            },
            resourceRequirements: {
                cpu: 0,
                cpuLimit: 0,
                fpga: 0,
                gpu: 0,
                memoryInGB: 0,
                memoryInGBLimit: 0,
            },
            runId: "string",
            sampleInputData: "string",
            sampleOutputData: "string",
            unpack: false,
            datasets: [{
                id: "string",
                name: "string",
            }],
            version: 0,
        }],
    },
    serviceName: "string",
    trafficPercentile: 0,
    type: "string",
    description: "string",
});

    type: azure-native:machinelearningservices:EndpointVariant
properties:
    computeType: string
    description: string
    environmentImageRequest:
        assets:
            - id: string
              mimeType: string
              unpack: false
              url: string
        driverProgram: string
        environment:
            docker:
                baseDockerfile: string
                baseImage: string
                baseImageRegistry:
                    address: string
                    password: string
                    username: string
            environmentVariables:
                string: string
            inferencingStackVersion: string
            name: string
            python:
                baseCondaEnvironment: string
                condaDependencies: any
                interpreterPath: string
                userManagedDependencies: false
            r:
                bioConductorPackages:
                    - string
                cranPackages:
                    - name: string
                      repository: string
                customUrlPackages:
                    - string
                gitHubPackages:
                    - authToken: string
                      repository: string
                rVersion: string
                rscriptPath: string
                snapshotDate: string
                userManaged: false
            spark:
                packages:
                    - artifact: string
                      group: string
                      version: string
                precachePackages: false
                repositories:
                    - string
            version: string
        environmentReference:
            name: string
            version: string
        modelIds:
            - string
        models:
            - createdTime: string
              datasets:
                - id: string
                  name: string
              derivedModelIds:
                - string
              description: string
              experimentName: string
              framework: string
              frameworkVersion: string
              id: string
              kvTags:
                string: string
              mimeType: string
              modifiedTime: string
              name: string
              parentModelId: string
              properties:
                string: string
              resourceRequirements:
                cpu: 0
                cpuLimit: 0
                fpga: 0
                gpu: 0
                memoryInGB: 0
                memoryInGBLimit: 0
              runId: string
              sampleInputData: string
              sampleOutputData: string
              unpack: false
              url: string
              version: 0
    isDefault: false
    keys:
        primaryKey: string
        secondaryKey: string
    kvTags:
        string: string
    location: string
    properties:
        string: string
    resourceGroupName: string
    serviceName: string
    trafficPercentile: 0
    type: string
    workspaceName: string

    EndpointVariant Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

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

    The EndpointVariant 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.
    Description string
    The description of the service.
    EnvironmentImageRequest Pulumi.AzureNative.MachineLearningServices.Inputs.CreateServiceRequestEnvironmentImageRequest
    The Environment, models and assets needed for inferencing.
    IsDefault bool
    Is this the default variant.
    Keys Pulumi.AzureNative.MachineLearningServices.Inputs.CreateServiceRequestKeys
    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.
    TrafficPercentile double
    The amount of traffic variant receives.
    Type string | Pulumi.AzureNative.MachineLearningServices.VariantType
    The type of the variant.
    ResourceGroupName string
    Name of the resource group in which workspace is located.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Description string
    The description of the service.
    EnvironmentImageRequest CreateServiceRequestEnvironmentImageRequestArgs
    The Environment, models and assets needed for inferencing.
    IsDefault bool
    Is this the default variant.
    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.
    TrafficPercentile float64
    The amount of traffic variant receives.
    Type string | VariantType
    The type of the variant.
    resourceGroupName String
    Name of the resource group in which workspace is located.
    workspaceName String
    Name of Azure Machine Learning workspace.
    description String
    The description of the service.
    environmentImageRequest CreateServiceRequestEnvironmentImageRequest
    The Environment, models and assets needed for inferencing.
    isDefault Boolean
    Is this the default variant.
    keys CreateServiceRequestKeys
    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.
    trafficPercentile Double
    The amount of traffic variant receives.
    type String | VariantType
    The type of the variant.
    resourceGroupName string
    Name of the resource group in which workspace is located.
    workspaceName string
    Name of Azure Machine Learning workspace.
    description string
    The description of the service.
    environmentImageRequest CreateServiceRequestEnvironmentImageRequest
    The Environment, models and assets needed for inferencing.
    isDefault boolean
    Is this the default variant.
    keys CreateServiceRequestKeys
    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.
    trafficPercentile number
    The amount of traffic variant receives.
    type string | VariantType
    The type of the variant.
    resource_group_name str
    Name of the resource group in which workspace is located.
    workspace_name str
    Name of Azure Machine Learning workspace.
    description str
    The description of the service.
    environment_image_request CreateServiceRequestEnvironmentImageRequestArgs
    The Environment, models and assets needed for inferencing.
    is_default bool
    Is this the default variant.
    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.
    traffic_percentile float
    The amount of traffic variant receives.
    type str | VariantType
    The type of the variant.
    resourceGroupName String
    Name of the resource group in which workspace is located.
    workspaceName String
    Name of Azure Machine Learning workspace.
    description String
    The description of the service.
    environmentImageRequest Property Map
    The Environment, models and assets needed for inferencing.
    isDefault Boolean
    Is this the default variant.
    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.
    trafficPercentile Number
    The amount of traffic variant receives.
    type String | "Control" | "Treatment"
    The type of the variant.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the EndpointVariant 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
    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
    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
    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
    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
    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
    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

    ACIServiceResponseResponse, ACIServiceResponseResponseArgs

    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, ACIServiceResponseResponseDataCollectionArgs

    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, ACIServiceResponseResponseEncryptionPropertiesArgs

    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, ACIServiceResponseResponseEnvironmentImageRequestArgs

    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, ACIServiceResponseResponseVnetConfigurationArgs

    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, AKSReplicaStatusResponseErrorArgs

    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, AKSServiceResponseResponseArgs

    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, AKSServiceResponseResponseAutoScalerArgs

    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, AKSServiceResponseResponseDataCollectionArgs

    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, AKSServiceResponseResponseDeploymentStatusArgs

    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, AKSServiceResponseResponseEnvironmentImageRequestArgs

    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, AKSServiceResponseResponseLivenessProbeRequirementsArgs

    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, AKSVariantResponseResponseArgs

    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, ContainerResourceRequirementsArgs

    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, ContainerResourceRequirementsResponseArgs

    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, CreateServiceRequestEnvironmentImageRequestArgs

    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, CreateServiceRequestKeysArgs

    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, DatasetReferenceArgs

    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, DatasetReferenceResponseArgs

    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, EnvironmentImageRequestEnvironmentArgs

    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, EnvironmentImageRequestEnvironmentReferenceArgs

    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, EnvironmentImageResponseResponseEnvironmentArgs

    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, EnvironmentImageResponseResponseEnvironmentReferenceArgs

    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, ErrorDetailResponseArgs

    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, ErrorResponseResponseArgs

    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, IdentityResponseArgs

    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, ImageAssetArgs

    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, ImageAssetResponseArgs

    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, ModelArgs

    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, ModelDockerSectionBaseImageRegistryArgs

    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, ModelDockerSectionResponseResponseBaseImageRegistryArgs

    Address string
    Address string
    address String
    address string
    address String

    ModelEnvironmentDefinitionDocker, ModelEnvironmentDefinitionDockerArgs

    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, ModelEnvironmentDefinitionPythonArgs

    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, ModelEnvironmentDefinitionRArgs

    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, ModelEnvironmentDefinitionResponseResponseDockerArgs

    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, ModelEnvironmentDefinitionResponseResponsePythonArgs

    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, ModelEnvironmentDefinitionResponseResponseRArgs

    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, ModelEnvironmentDefinitionResponseResponseSparkArgs

    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, ModelEnvironmentDefinitionSparkArgs

    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, ModelResponseArgs

    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, RCranPackageArgs

    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, RCranPackageResponseArgs

    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, RGitHubPackageArgs

    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, RGitHubPackageResponseResponseArgs

    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, ServiceResponseBaseResponseErrorArgs

    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, SkuResponseArgs

    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, SparkMavenPackageArgs

    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, SparkMavenPackageResponseArgs

    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, SystemDataResponseArgs

    CreatedAt string
    The timestamp of resource creation (UTC)
    CreatedBy string
    An identifier for the identity that created the resource
    CreatedByType string
    The type of identity that created the resource
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    An identifier for the identity that last modified the resource
    LastModifiedByType string
    The type of identity that last modified the resource
    CreatedAt string
    The timestamp of resource creation (UTC)
    CreatedBy string
    An identifier for the identity that created the resource
    CreatedByType string
    The type of identity that created the resource
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    An identifier for the identity that last modified the resource
    LastModifiedByType string
    The type of identity that last modified the resource
    createdAt String
    The timestamp of resource creation (UTC)
    createdBy String
    An identifier for the identity that created the resource
    createdByType String
    The type of identity that created the resource
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    An identifier for the identity that last modified the resource
    lastModifiedByType String
    The type of identity that last modified the resource
    createdAt string
    The timestamp of resource creation (UTC)
    createdBy string
    An identifier for the identity that created the resource
    createdByType string
    The type of identity that created the resource
    lastModifiedAt string
    The timestamp of resource last modification (UTC)
    lastModifiedBy string
    An identifier for the identity that last modified the resource
    lastModifiedByType string
    The type of identity that last modified the resource
    created_at str
    The timestamp of resource creation (UTC)
    created_by str
    An identifier for the identity that created the resource
    created_by_type str
    The type of identity that created the resource
    last_modified_at str
    The timestamp of resource last modification (UTC)
    last_modified_by str
    An identifier for the identity that last modified the resource
    last_modified_by_type str
    The type of identity that last modified the resource
    createdAt String
    The timestamp of resource creation (UTC)
    createdBy String
    An identifier for the identity that created the resource
    createdByType String
    The type of identity that created the resource
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    An identifier for the identity that last modified the resource
    lastModifiedByType String
    The type of identity that last modified the resource

    UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

    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.

    VariantType, VariantTypeArgs

    Control
    Control
    Treatment
    Treatment
    VariantTypeControl
    Control
    VariantTypeTreatment
    Treatment
    Control
    Control
    Treatment
    Treatment
    Control
    Control
    Treatment
    Treatment
    CONTROL
    Control
    TREATMENT
    Treatment
    "Control"
    Control
    "Treatment"
    Treatment

    Import

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

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

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    azure-native-v1 pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native-v1 logo
    These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
    Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
    pulumi/pulumi-azure-native