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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.EnvironmentSpecificationVersion

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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
pulumi/pulumi-azure-native

    Azure Resource Manager resource envelope. Azure REST API version: 2021-03-01-preview. Prior API version in Azure Native 1.x: 2021-03-01-preview.

    Example Usage

    CreateOrUpdate Environment Specification Version.

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

return await Deployment.RunAsync(() => 
{
    var environmentSpecificationVersion = new AzureNative.MachineLearningServices.EnvironmentSpecificationVersion("environmentSpecificationVersion", new()
    {
        Name = "testEnvironment",
        Properties = new AzureNative.MachineLearningServices.Inputs.EnvironmentSpecificationVersionArgs
        {
            CondaFile = @"channels:
- defaults
dependencies:
- python=3.7.7
name: my-env",
            Description = "string",
            Docker = new AzureNative.MachineLearningServices.Inputs.DockerBuildArgs
            {
                DockerSpecificationType = "Build",
                Dockerfile = "FROM myimage",
            },
            Properties = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            Tags = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
        },
        ResourceGroupName = "testrg123",
        Version = "1",
        WorkspaceName = "testworkspace",
    });

});

    package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewEnvironmentSpecificationVersion(ctx, "environmentSpecificationVersion", &machinelearningservices.EnvironmentSpecificationVersionArgs{
			Name: pulumi.String("testEnvironment"),
			Properties: &machinelearningservices.EnvironmentSpecificationVersionTypeArgs{
				CondaFile:   pulumi.String("channels:\n- defaults\ndependencies:\n- python=3.7.7\nname: my-env"),
				Description: pulumi.String("string"),
				Docker: machinelearningservices.DockerBuild{
					DockerSpecificationType: "Build",
					Dockerfile:              "FROM myimage",
				},
				Properties: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
			},
			ResourceGroupName: pulumi.String("testrg123"),
			Version:           pulumi.String("1"),
			WorkspaceName:     pulumi.String("testworkspace"),
		})
		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.EnvironmentSpecificationVersion;
import com.pulumi.azurenative.machinelearningservices.EnvironmentSpecificationVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.EnvironmentSpecificationVersionArgs;
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 environmentSpecificationVersion = new EnvironmentSpecificationVersion("environmentSpecificationVersion", EnvironmentSpecificationVersionArgs.builder()
            .name("testEnvironment")
            .properties(EnvironmentSpecificationVersionArgs.builder()
                .condaFile("""
channels:
- defaults
dependencies:
- python=3.7.7
name: my-env                """)
                .description("string")
                .docker(DockerBuildArgs.builder()
                    .dockerSpecificationType("Build")
                    .dockerfile("FROM myimage")
                    .build())
                .properties(Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                ))
                .tags(Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                ))
                .build())
            .resourceGroupName("testrg123")
            .version("1")
            .workspaceName("testworkspace")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

environment_specification_version = azure_native.machinelearningservices.EnvironmentSpecificationVersion("environmentSpecificationVersion",
    name="testEnvironment",
    properties={
        "conda_file": """channels:
- defaults
dependencies:
- python=3.7.7
name: my-env""",
        "description": "string",
        "docker": {
            "docker_specification_type": "Build",
            "dockerfile": "FROM myimage",
        },
        "properties": {
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
        "tags": {
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
    },
    resource_group_name="testrg123",
    version="1",
    workspace_name="testworkspace")

    import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const environmentSpecificationVersion = new azure_native.machinelearningservices.EnvironmentSpecificationVersion("environmentSpecificationVersion", {
    name: "testEnvironment",
    properties: {
        condaFile: `channels:
- defaults
dependencies:
- python=3.7.7
name: my-env`,
        description: "string",
        docker: {
            dockerSpecificationType: "Build",
            dockerfile: "FROM myimage",
        },
        properties: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
        tags: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
    },
    resourceGroupName: "testrg123",
    version: "1",
    workspaceName: "testworkspace",
});

    resources:
  environmentSpecificationVersion:
    type: azure-native:machinelearningservices:EnvironmentSpecificationVersion
    properties:
      name: testEnvironment
      properties:
        condaFile: |-
          channels:
          - defaults
          dependencies:
          - python=3.7.7
          name: my-env          
        description: string
        docker:
          dockerSpecificationType: Build
          dockerfile: FROM myimage
        properties:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
        tags:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
      resourceGroupName: testrg123
      version: '1'
      workspaceName: testworkspace

    Create EnvironmentSpecificationVersion Resource

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

    Constructor syntax

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

@overload
def EnvironmentSpecificationVersion(resource_name: str,
                                    opts: Optional[ResourceOptions] = None,
                                    name: Optional[str] = None,
                                    properties: Optional[EnvironmentSpecificationVersionArgs] = None,
                                    resource_group_name: Optional[str] = None,
                                    workspace_name: Optional[str] = None,
                                    version: Optional[str] = None)
    func NewEnvironmentSpecificationVersion(ctx *Context, name string, args EnvironmentSpecificationVersionArgs, opts ...ResourceOption) (*EnvironmentSpecificationVersion, error)
    public EnvironmentSpecificationVersion(string name, EnvironmentSpecificationVersionArgs args, CustomResourceOptions? opts = null)
    public EnvironmentSpecificationVersion(String name, EnvironmentSpecificationVersionArgs args)
public EnvironmentSpecificationVersion(String name, EnvironmentSpecificationVersionArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:EnvironmentSpecificationVersion
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 EnvironmentSpecificationVersionArgs
    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 EnvironmentSpecificationVersionInitArgs
    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 EnvironmentSpecificationVersionArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args EnvironmentSpecificationVersionArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args EnvironmentSpecificationVersionArgs
    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 environmentSpecificationVersionResource = new AzureNative.MachineLearningServices.EnvironmentSpecificationVersion("environmentSpecificationVersionResource", new()
{
    Name = "string",
    Properties = new AzureNative.MachineLearningServices.Inputs.EnvironmentSpecificationVersionArgs
    {
        CondaFile = "string",
        Description = "string",
        Docker = new AzureNative.MachineLearningServices.Inputs.DockerBuildArgs
        {
            DockerSpecificationType = "Build",
            Dockerfile = "string",
            Context = "string",
            Platform = new AzureNative.MachineLearningServices.Inputs.DockerImagePlatformArgs
            {
                OperatingSystemType = "string",
            },
        },
        InferenceContainerProperties = new AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesArgs
        {
            LivenessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
            ReadinessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
            ScoringRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
        },
        IsAnonymous = false,
        Properties = 
        {
            { "string", "string" },
        },
        Tags = 
        {
            { "string", "string" },
        },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    Version = "string",
});

    example, err := machinelearningservices.NewEnvironmentSpecificationVersion(ctx, "environmentSpecificationVersionResource", &machinelearningservices.EnvironmentSpecificationVersionArgs{
	Name: pulumi.String("string"),
	Properties: &machinelearningservices.EnvironmentSpecificationVersionTypeArgs{
		CondaFile:   pulumi.String("string"),
		Description: pulumi.String("string"),
		Docker: machinelearningservices.DockerBuild{
			DockerSpecificationType: "Build",
			Dockerfile:              "string",
			Context:                 "string",
			Platform: machinelearningservices.DockerImagePlatform{
				OperatingSystemType: "string",
			},
		},
		InferenceContainerProperties: &machinelearningservices.InferenceContainerPropertiesArgs{
			LivenessRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
			ReadinessRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
			ScoringRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
		},
		IsAnonymous: pulumi.Bool(false),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		Tags: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	ResourceGroupName: pulumi.String("string"),
	WorkspaceName:     pulumi.String("string"),
	Version:           pulumi.String("string"),
})

    var environmentSpecificationVersionResource = new EnvironmentSpecificationVersion("environmentSpecificationVersionResource", EnvironmentSpecificationVersionArgs.builder()
    .name("string")
    .properties(EnvironmentSpecificationVersionArgs.builder()
        .condaFile("string")
        .description("string")
        .docker(DockerBuildArgs.builder()
            .dockerSpecificationType("Build")
            .dockerfile("string")
            .context("string")
            .platform(DockerImagePlatformArgs.builder()
                .operatingSystemType("string")
                .build())
            .build())
        .inferenceContainerProperties(InferenceContainerPropertiesArgs.builder()
            .livenessRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .readinessRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .scoringRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .build())
        .isAnonymous(false)
        .properties(Map.of("string", "string"))
        .tags(Map.of("string", "string"))
        .build())
    .resourceGroupName("string")
    .workspaceName("string")
    .version("string")
    .build());

    environment_specification_version_resource = azure_native.machinelearningservices.EnvironmentSpecificationVersion("environmentSpecificationVersionResource",
    name="string",
    properties={
        "conda_file": "string",
        "description": "string",
        "docker": {
            "docker_specification_type": "Build",
            "dockerfile": "string",
            "context": "string",
            "platform": {
                "operating_system_type": "string",
            },
        },
        "inference_container_properties": {
            "liveness_route": {
                "path": "string",
                "port": 0,
            },
            "readiness_route": {
                "path": "string",
                "port": 0,
            },
            "scoring_route": {
                "path": "string",
                "port": 0,
            },
        },
        "is_anonymous": False,
        "properties": {
            "string": "string",
        },
        "tags": {
            "string": "string",
        },
    },
    resource_group_name="string",
    workspace_name="string",
    version="string")

    const environmentSpecificationVersionResource = new azure_native.machinelearningservices.EnvironmentSpecificationVersion("environmentSpecificationVersionResource", {
    name: "string",
    properties: {
        condaFile: "string",
        description: "string",
        docker: {
            dockerSpecificationType: "Build",
            dockerfile: "string",
            context: "string",
            platform: {
                operatingSystemType: "string",
            },
        },
        inferenceContainerProperties: {
            livenessRoute: {
                path: "string",
                port: 0,
            },
            readinessRoute: {
                path: "string",
                port: 0,
            },
            scoringRoute: {
                path: "string",
                port: 0,
            },
        },
        isAnonymous: false,
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    version: "string",
});

    type: azure-native:machinelearningservices:EnvironmentSpecificationVersion
properties:
    name: string
    properties:
        condaFile: string
        description: string
        docker:
            context: string
            dockerSpecificationType: Build
            dockerfile: string
            platform:
                operatingSystemType: string
        inferenceContainerProperties:
            livenessRoute:
                path: string
                port: 0
            readinessRoute:
                path: string
                port: 0
            scoringRoute:
                path: string
                port: 0
        isAnonymous: false
        properties:
            string: string
        tags:
            string: string
    resourceGroupName: string
    version: string
    workspaceName: string

    EnvironmentSpecificationVersion 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 EnvironmentSpecificationVersion resource accepts the following input properties:

    Name string
    Name of EnvironmentSpecificationVersion.
    Properties Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentSpecificationVersion
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Version string
    Version of EnvironmentSpecificationVersion.
    Name string
    Name of EnvironmentSpecificationVersion.
    Properties EnvironmentSpecificationVersionTypeArgs
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Version string
    Version of EnvironmentSpecificationVersion.
    name String
    Name of EnvironmentSpecificationVersion.
    properties EnvironmentSpecificationVersion
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    version String
    Version of EnvironmentSpecificationVersion.
    name string
    Name of EnvironmentSpecificationVersion.
    properties EnvironmentSpecificationVersion
    [Required] Additional attributes of the entity.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    version string
    Version of EnvironmentSpecificationVersion.
    name str
    Name of EnvironmentSpecificationVersion.
    properties EnvironmentSpecificationVersionArgs
    [Required] Additional attributes of the entity.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    version str
    Version of EnvironmentSpecificationVersion.
    name String
    Name of EnvironmentSpecificationVersion.
    properties Property Map
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    version String
    Version of EnvironmentSpecificationVersion.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
    System data associated with resource provider
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    Id string
    The provider-assigned unique ID for this managed resource.
    SystemData SystemDataResponse
    System data associated with resource provider
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    systemData SystemDataResponse
    System data associated with resource provider
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id string
    The provider-assigned unique ID for this managed resource.
    systemData SystemDataResponse
    System data associated with resource provider
    type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id str
    The provider-assigned unique ID for this managed resource.
    system_data SystemDataResponse
    System data associated with resource provider
    type str
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    systemData Property Map
    System data associated with resource provider
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

    Supporting Types

    DockerBuild, DockerBuildArgs

    Dockerfile string
    [Required] Docker command line instructions to assemble an image.
    Context string
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    Platform Pulumi.AzureNative.MachineLearningServices.Inputs.DockerImagePlatform
    The platform information of the docker image.
    Dockerfile string
    [Required] Docker command line instructions to assemble an image.
    Context string
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    Platform DockerImagePlatform
    The platform information of the docker image.
    dockerfile String
    [Required] Docker command line instructions to assemble an image.
    context String
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform DockerImagePlatform
    The platform information of the docker image.
    dockerfile string
    [Required] Docker command line instructions to assemble an image.
    context string
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform DockerImagePlatform
    The platform information of the docker image.
    dockerfile str
    [Required] Docker command line instructions to assemble an image.
    context str
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform DockerImagePlatform
    The platform information of the docker image.
    dockerfile String
    [Required] Docker command line instructions to assemble an image.
    context String
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform Property Map
    The platform information of the docker image.

    DockerBuildResponse, DockerBuildResponseArgs

    Dockerfile string
    [Required] Docker command line instructions to assemble an image.
    Context string
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    Platform Pulumi.AzureNative.MachineLearningServices.Inputs.DockerImagePlatformResponse
    The platform information of the docker image.
    Dockerfile string
    [Required] Docker command line instructions to assemble an image.
    Context string
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    Platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerfile String
    [Required] Docker command line instructions to assemble an image.
    context String
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerfile string
    [Required] Docker command line instructions to assemble an image.
    context string
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerfile str
    [Required] Docker command line instructions to assemble an image.
    context str
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerfile String
    [Required] Docker command line instructions to assemble an image.
    context String
    Path to a snapshot of the Docker Context. This property is only valid if Dockerfile is specified. The path is relative to the asset path which must contain a single Blob URI value.
    platform Property Map
    The platform information of the docker image.

    DockerImage, DockerImageArgs

    DockerImageUri string
    [Required] Image name of a custom base image.
    Platform Pulumi.AzureNative.MachineLearningServices.Inputs.DockerImagePlatform
    The platform information of the docker image.
    DockerImageUri string
    [Required] Image name of a custom base image.
    Platform DockerImagePlatform
    The platform information of the docker image.
    dockerImageUri String
    [Required] Image name of a custom base image.
    platform DockerImagePlatform
    The platform information of the docker image.
    dockerImageUri string
    [Required] Image name of a custom base image.
    platform DockerImagePlatform
    The platform information of the docker image.
    docker_image_uri str
    [Required] Image name of a custom base image.
    platform DockerImagePlatform
    The platform information of the docker image.
    dockerImageUri String
    [Required] Image name of a custom base image.
    platform Property Map
    The platform information of the docker image.

    DockerImagePlatform, DockerImagePlatformArgs

    OperatingSystemType string | OperatingSystemType
    The OS type the Environment.
    operatingSystemType String | OperatingSystemType
    The OS type the Environment.
    operatingSystemType string | OperatingSystemType
    The OS type the Environment.
    operating_system_type str | OperatingSystemType
    The OS type the Environment.
    operatingSystemType String | "Linux" | "Windows"
    The OS type the Environment.

    DockerImagePlatformResponse, DockerImagePlatformResponseArgs

    OperatingSystemType string
    The OS type the Environment.
    OperatingSystemType string
    The OS type the Environment.
    operatingSystemType String
    The OS type the Environment.
    operatingSystemType string
    The OS type the Environment.
    operating_system_type str
    The OS type the Environment.
    operatingSystemType String
    The OS type the Environment.

    DockerImageResponse, DockerImageResponseArgs

    DockerImageUri string
    [Required] Image name of a custom base image.
    Platform Pulumi.AzureNative.MachineLearningServices.Inputs.DockerImagePlatformResponse
    The platform information of the docker image.
    DockerImageUri string
    [Required] Image name of a custom base image.
    Platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerImageUri String
    [Required] Image name of a custom base image.
    platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerImageUri string
    [Required] Image name of a custom base image.
    platform DockerImagePlatformResponse
    The platform information of the docker image.
    docker_image_uri str
    [Required] Image name of a custom base image.
    platform DockerImagePlatformResponse
    The platform information of the docker image.
    dockerImageUri String
    [Required] Image name of a custom base image.
    platform Property Map
    The platform information of the docker image.

    EnvironmentSpecificationVersion, EnvironmentSpecificationVersionArgs

    CondaFile string
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    Description string
    The asset description text.
    Docker Pulumi.AzureNative.MachineLearningServices.Inputs.DockerBuild | Pulumi.AzureNative.MachineLearningServices.Inputs.DockerImage
    Configuration settings for Docker.
    InferenceContainerProperties Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceContainerProperties
    Defines configuration specific to inference.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    CondaFile string
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    Description string
    The asset description text.
    Docker DockerBuild | DockerImage
    Configuration settings for Docker.
    InferenceContainerProperties InferenceContainerProperties
    Defines configuration specific to inference.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    condaFile String
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description String
    The asset description text.
    docker DockerBuild | DockerImage
    Configuration settings for Docker.
    inferenceContainerProperties InferenceContainerProperties
    Defines configuration specific to inference.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    condaFile string
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description string
    The asset description text.
    docker DockerBuild | DockerImage
    Configuration settings for Docker.
    inferenceContainerProperties InferenceContainerProperties
    Defines configuration specific to inference.
    isAnonymous boolean
    If the name version are system generated (anonymous registration).
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    conda_file str
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description str
    The asset description text.
    docker DockerBuild | DockerImage
    Configuration settings for Docker.
    inference_container_properties InferenceContainerProperties
    Defines configuration specific to inference.
    is_anonymous bool
    If the name version are system generated (anonymous registration).
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    condaFile String
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description String
    The asset description text.
    docker Property Map | Property Map
    Configuration settings for Docker.
    inferenceContainerProperties Property Map
    Defines configuration specific to inference.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    EnvironmentSpecificationVersionResponse, EnvironmentSpecificationVersionResponseArgs

    EnvironmentSpecificationType string
    Environment specification is either user managed or curated by the Azure ML service
    CondaFile string
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    Description string
    The asset description text.
    Docker Pulumi.AzureNative.MachineLearningServices.Inputs.DockerBuildResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.DockerImageResponse
    Configuration settings for Docker.
    InferenceContainerProperties Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesResponse
    Defines configuration specific to inference.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    EnvironmentSpecificationType string
    Environment specification is either user managed or curated by the Azure ML service
    CondaFile string
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    Description string
    The asset description text.
    Docker DockerBuildResponse | DockerImageResponse
    Configuration settings for Docker.
    InferenceContainerProperties InferenceContainerPropertiesResponse
    Defines configuration specific to inference.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    environmentSpecificationType String
    Environment specification is either user managed or curated by the Azure ML service
    condaFile String
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description String
    The asset description text.
    docker DockerBuildResponse | DockerImageResponse
    Configuration settings for Docker.
    inferenceContainerProperties InferenceContainerPropertiesResponse
    Defines configuration specific to inference.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    environmentSpecificationType string
    Environment specification is either user managed or curated by the Azure ML service
    condaFile string
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description string
    The asset description text.
    docker DockerBuildResponse | DockerImageResponse
    Configuration settings for Docker.
    inferenceContainerProperties InferenceContainerPropertiesResponse
    Defines configuration specific to inference.
    isAnonymous boolean
    If the name version are system generated (anonymous registration).
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    environment_specification_type str
    Environment specification is either user managed or curated by the Azure ML service
    conda_file str
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description str
    The asset description text.
    docker DockerBuildResponse | DockerImageResponse
    Configuration settings for Docker.
    inference_container_properties InferenceContainerPropertiesResponse
    Defines configuration specific to inference.
    is_anonymous bool
    If the name version are system generated (anonymous registration).
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    environmentSpecificationType String
    Environment specification is either user managed or curated by the Azure ML service
    condaFile String
    Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
    description String
    The asset description text.
    docker Property Map | Property Map
    Configuration settings for Docker.
    inferenceContainerProperties Property Map
    Defines configuration specific to inference.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    InferenceContainerProperties, InferenceContainerPropertiesArgs

    LivenessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
    The route to check the liveness of the inference server container.
    ReadinessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
    The route to check the readiness of the inference server container.
    ScoringRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
    The port to send the scoring requests to, within the inference server container.
    LivenessRoute Route
    The route to check the liveness of the inference server container.
    ReadinessRoute Route
    The route to check the readiness of the inference server container.
    ScoringRoute Route
    The port to send the scoring requests to, within the inference server container.
    livenessRoute Route
    The route to check the liveness of the inference server container.
    readinessRoute Route
    The route to check the readiness of the inference server container.
    scoringRoute Route
    The port to send the scoring requests to, within the inference server container.
    livenessRoute Route
    The route to check the liveness of the inference server container.
    readinessRoute Route
    The route to check the readiness of the inference server container.
    scoringRoute Route
    The port to send the scoring requests to, within the inference server container.
    liveness_route Route
    The route to check the liveness of the inference server container.
    readiness_route Route
    The route to check the readiness of the inference server container.
    scoring_route Route
    The port to send the scoring requests to, within the inference server container.
    livenessRoute Property Map
    The route to check the liveness of the inference server container.
    readinessRoute Property Map
    The route to check the readiness of the inference server container.
    scoringRoute Property Map
    The port to send the scoring requests to, within the inference server container.

    InferenceContainerPropertiesResponse, InferenceContainerPropertiesResponseArgs

    LivenessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
    The route to check the liveness of the inference server container.
    ReadinessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
    The route to check the readiness of the inference server container.
    ScoringRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
    The port to send the scoring requests to, within the inference server container.
    LivenessRoute RouteResponse
    The route to check the liveness of the inference server container.
    ReadinessRoute RouteResponse
    The route to check the readiness of the inference server container.
    ScoringRoute RouteResponse
    The port to send the scoring requests to, within the inference server container.
    livenessRoute RouteResponse
    The route to check the liveness of the inference server container.
    readinessRoute RouteResponse
    The route to check the readiness of the inference server container.
    scoringRoute RouteResponse
    The port to send the scoring requests to, within the inference server container.
    livenessRoute RouteResponse
    The route to check the liveness of the inference server container.
    readinessRoute RouteResponse
    The route to check the readiness of the inference server container.
    scoringRoute RouteResponse
    The port to send the scoring requests to, within the inference server container.
    liveness_route RouteResponse
    The route to check the liveness of the inference server container.
    readiness_route RouteResponse
    The route to check the readiness of the inference server container.
    scoring_route RouteResponse
    The port to send the scoring requests to, within the inference server container.
    livenessRoute Property Map
    The route to check the liveness of the inference server container.
    readinessRoute Property Map
    The route to check the readiness of the inference server container.
    scoringRoute Property Map
    The port to send the scoring requests to, within the inference server container.

    OperatingSystemType, OperatingSystemTypeArgs

    Linux
    Linux
    Windows
    Windows
    OperatingSystemTypeLinux
    Linux
    OperatingSystemTypeWindows
    Windows
    Linux
    Linux
    Windows
    Windows
    Linux
    Linux
    Windows
    Windows
    LINUX
    Linux
    WINDOWS
    Windows
    "Linux"
    Linux
    "Windows"
    Windows

    Route, RouteArgs

    Path string
    [Required] The path for the route.
    Port int
    [Required] The port for the route.
    Path string
    [Required] The path for the route.
    Port int
    [Required] The port for the route.
    path String
    [Required] The path for the route.
    port Integer
    [Required] The port for the route.
    path string
    [Required] The path for the route.
    port number
    [Required] The port for the route.
    path str
    [Required] The path for the route.
    port int
    [Required] The port for the route.
    path String
    [Required] The path for the route.
    port Number
    [Required] The port for the route.

    RouteResponse, RouteResponseArgs

    Path string
    [Required] The path for the route.
    Port int
    [Required] The port for the route.
    Path string
    [Required] The path for the route.
    Port int
    [Required] The port for the route.
    path String
    [Required] The path for the route.
    port Integer
    [Required] The port for the route.
    path string
    [Required] The path for the route.
    port number
    [Required] The port for the route.
    path str
    [Required] The path for the route.
    port int
    [Required] The port for the route.
    path String
    [Required] The path for the route.
    port Number
    [Required] The port for the route.

    SystemDataResponse, SystemDataResponseArgs

    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    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
    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
    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
    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
    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
    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
    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
    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
    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
    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
    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
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.

    Import

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

    $ pulumi import azure-native:machinelearningservices:EnvironmentSpecificationVersion 1 /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments/{name}/versions/{version}

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

    Package Details

    Repository
    Azure Native pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native logo
    This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
    Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
    pulumi/pulumi-azure-native