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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 v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

azure-native.machinelearningservices.EnvironmentVersion

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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 v2.8.0 published on Monday, Sep 18, 2023 by Pulumi

    Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01.

    Example Usage

    CreateOrUpdate Workspace Environment Version.

    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using AzureNative = Pulumi.AzureNative;
    
    return await Deployment.RunAsync(() => 
    {
        var environmentVersion = new AzureNative.MachineLearningServices.EnvironmentVersion("environmentVersion", new()
        {
            EnvironmentVersionProperties = new AzureNative.MachineLearningServices.Inputs.EnvironmentVersionArgs
            {
                Build = new AzureNative.MachineLearningServices.Inputs.BuildContextArgs
                {
                    ContextUri = "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
                    DockerfilePath = "prod/Dockerfile",
                },
                CondaFile = "string",
                Description = "string",
                Image = "docker.io/tensorflow/serving:latest",
                InferenceConfig = new AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesArgs
                {
                    LivenessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
                    {
                        Path = "string",
                        Port = 1,
                    },
                    ReadinessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
                    {
                        Path = "string",
                        Port = 1,
                    },
                    ScoringRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
                    {
                        Path = "string",
                        Port = 1,
                    },
                },
                IsAnonymous = false,
                Properties = 
                {
                    { "string", "string" },
                },
                Tags = 
                {
                    { "string", "string" },
                },
            },
            Name = "string",
            ResourceGroupName = "test-rg",
            Version = "string",
            WorkspaceName = "my-aml-workspace",
        });
    
    });
    
    package main
    
    import (
    	"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.NewEnvironmentVersion(ctx, "environmentVersion", &machinelearningservices.EnvironmentVersionArgs{
    EnvironmentVersionProperties: machinelearningservices.EnvironmentVersionResponse{
    Build: &machinelearningservices.BuildContextArgs{
    ContextUri: pulumi.String("https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/"),
    DockerfilePath: pulumi.String("prod/Dockerfile"),
    },
    CondaFile: pulumi.String("string"),
    Description: pulumi.String("string"),
    Image: pulumi.String("docker.io/tensorflow/serving:latest"),
    InferenceConfig: interface{}{
    LivenessRoute: &machinelearningservices.RouteArgs{
    Path: pulumi.String("string"),
    Port: pulumi.Int(1),
    },
    ReadinessRoute: &machinelearningservices.RouteArgs{
    Path: pulumi.String("string"),
    Port: pulumi.Int(1),
    },
    ScoringRoute: &machinelearningservices.RouteArgs{
    Path: pulumi.String("string"),
    Port: pulumi.Int(1),
    },
    },
    IsAnonymous: pulumi.Bool(false),
    Properties: pulumi.StringMap{
    "string": pulumi.String("string"),
    },
    Tags: pulumi.StringMap{
    "string": pulumi.String("string"),
    },
    },
    Name: pulumi.String("string"),
    ResourceGroupName: pulumi.String("test-rg"),
    Version: pulumi.String("string"),
    WorkspaceName: pulumi.String("my-aml-workspace"),
    })
    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.EnvironmentVersion;
    import com.pulumi.azurenative.machinelearningservices.EnvironmentVersionArgs;
    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 environmentVersion = new EnvironmentVersion("environmentVersion", EnvironmentVersionArgs.builder()        
                .environmentVersionProperties(Map.ofEntries(
                    Map.entry("build", Map.ofEntries(
                        Map.entry("contextUri", "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/"),
                        Map.entry("dockerfilePath", "prod/Dockerfile")
                    )),
                    Map.entry("condaFile", "string"),
                    Map.entry("description", "string"),
                    Map.entry("image", "docker.io/tensorflow/serving:latest"),
                    Map.entry("inferenceConfig", Map.ofEntries(
                        Map.entry("livenessRoute", Map.ofEntries(
                            Map.entry("path", "string"),
                            Map.entry("port", 1)
                        )),
                        Map.entry("readinessRoute", Map.ofEntries(
                            Map.entry("path", "string"),
                            Map.entry("port", 1)
                        )),
                        Map.entry("scoringRoute", Map.ofEntries(
                            Map.entry("path", "string"),
                            Map.entry("port", 1)
                        ))
                    )),
                    Map.entry("isAnonymous", false),
                    Map.entry("properties", Map.of("string", "string")),
                    Map.entry("tags", Map.of("string", "string"))
                ))
                .name("string")
                .resourceGroupName("test-rg")
                .version("string")
                .workspaceName("my-aml-workspace")
                .build());
    
        }
    }
    
    import pulumi
    import pulumi_azure_native as azure_native
    
    environment_version = azure_native.machinelearningservices.EnvironmentVersion("environmentVersion",
        environment_version_properties=azure_native.machinelearningservices.EnvironmentVersionResponseArgs(
            build=azure_native.machinelearningservices.BuildContextArgs(
                context_uri="https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
                dockerfile_path="prod/Dockerfile",
            ),
            conda_file="string",
            description="string",
            image="docker.io/tensorflow/serving:latest",
            inference_config={
                "livenessRoute": azure_native.machinelearningservices.RouteArgs(
                    path="string",
                    port=1,
                ),
                "readinessRoute": azure_native.machinelearningservices.RouteArgs(
                    path="string",
                    port=1,
                ),
                "scoringRoute": azure_native.machinelearningservices.RouteArgs(
                    path="string",
                    port=1,
                ),
            },
            is_anonymous=False,
            properties={
                "string": "string",
            },
            tags={
                "string": "string",
            },
        ),
        name="string",
        resource_group_name="test-rg",
        version="string",
        workspace_name="my-aml-workspace")
    
    import * as pulumi from "@pulumi/pulumi";
    import * as azure_native from "@pulumi/azure-native";
    
    const environmentVersion = new azure_native.machinelearningservices.EnvironmentVersion("environmentVersion", {
        environmentVersionProperties: {
            build: {
                contextUri: "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
                dockerfilePath: "prod/Dockerfile",
            },
            condaFile: "string",
            description: "string",
            image: "docker.io/tensorflow/serving:latest",
            inferenceConfig: {
                livenessRoute: {
                    path: "string",
                    port: 1,
                },
                readinessRoute: {
                    path: "string",
                    port: 1,
                },
                scoringRoute: {
                    path: "string",
                    port: 1,
                },
            },
            isAnonymous: false,
            properties: {
                string: "string",
            },
            tags: {
                string: "string",
            },
        },
        name: "string",
        resourceGroupName: "test-rg",
        version: "string",
        workspaceName: "my-aml-workspace",
    });
    
    resources:
      environmentVersion:
        type: azure-native:machinelearningservices:EnvironmentVersion
        properties:
          environmentVersionProperties:
            build:
              contextUri: https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/
              dockerfilePath: prod/Dockerfile
            condaFile: string
            description: string
            image: docker.io/tensorflow/serving:latest
            inferenceConfig:
              livenessRoute:
                path: string
                port: 1
              readinessRoute:
                path: string
                port: 1
              scoringRoute:
                path: string
                port: 1
            isAnonymous: false
            properties:
              string: string
            tags:
              string: string
          name: string
          resourceGroupName: test-rg
          version: string
          workspaceName: my-aml-workspace
    

    Create EnvironmentVersion Resource

    new EnvironmentVersion(name: string, args: EnvironmentVersionArgs, opts?: CustomResourceOptions);
    @overload
    def EnvironmentVersion(resource_name: str,
                           opts: Optional[ResourceOptions] = None,
                           environment_version_properties: Optional[EnvironmentVersionArgs] = None,
                           name: Optional[str] = None,
                           resource_group_name: Optional[str] = None,
                           version: Optional[str] = None,
                           workspace_name: Optional[str] = None)
    @overload
    def EnvironmentVersion(resource_name: str,
                           args: EnvironmentVersionInitArgs,
                           opts: Optional[ResourceOptions] = None)
    func NewEnvironmentVersion(ctx *Context, name string, args EnvironmentVersionArgs, opts ...ResourceOption) (*EnvironmentVersion, error)
    public EnvironmentVersion(string name, EnvironmentVersionArgs args, CustomResourceOptions? opts = null)
    public EnvironmentVersion(String name, EnvironmentVersionArgs args)
    public EnvironmentVersion(String name, EnvironmentVersionArgs args, CustomResourceOptions options)
    
    type: azure-native:machinelearningservices:EnvironmentVersion
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    
    name string
    The unique name of the resource.
    args EnvironmentVersionArgs
    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 EnvironmentVersionInitArgs
    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 EnvironmentVersionArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args EnvironmentVersionArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args EnvironmentVersionArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    EnvironmentVersion Resource Properties

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

    Inputs

    The EnvironmentVersion resource accepts the following input properties:

    EnvironmentVersionProperties Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentVersion

    [Required] Additional attributes of the entity.

    Name string

    Name of EnvironmentVersion. This is case-sensitive.

    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 EnvironmentVersion.

    EnvironmentVersionProperties EnvironmentVersionTypeArgs

    [Required] Additional attributes of the entity.

    Name string

    Name of EnvironmentVersion. This is case-sensitive.

    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 EnvironmentVersion.

    environmentVersionProperties EnvironmentVersion

    [Required] Additional attributes of the entity.

    name String

    Name of EnvironmentVersion. This is case-sensitive.

    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 EnvironmentVersion.

    environmentVersionProperties EnvironmentVersion

    [Required] Additional attributes of the entity.

    name string

    Name of EnvironmentVersion. This is case-sensitive.

    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 EnvironmentVersion.

    environment_version_properties EnvironmentVersionArgs

    [Required] Additional attributes of the entity.

    name str

    Name of EnvironmentVersion. This is case-sensitive.

    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 EnvironmentVersion.

    environmentVersionProperties Property Map

    [Required] Additional attributes of the entity.

    name String

    Name of EnvironmentVersion. This is case-sensitive.

    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 EnvironmentVersion.

    Outputs

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

    Id string

    The provider-assigned unique ID for this managed resource.

    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse

    Azure Resource Manager metadata containing createdBy and modifiedBy information.

    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

    Azure Resource Manager metadata containing createdBy and modifiedBy information.

    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

    Azure Resource Manager metadata containing createdBy and modifiedBy information.

    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

    Azure Resource Manager metadata containing createdBy and modifiedBy information.

    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

    Azure Resource Manager metadata containing createdBy and modifiedBy information.

    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

    Azure Resource Manager metadata containing createdBy and modifiedBy information.

    type String

    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

    Supporting Types

    AutoRebuildSetting, AutoRebuildSettingArgs

    Disabled
    Disabled
    OnBaseImageUpdate
    OnBaseImageUpdate
    AutoRebuildSettingDisabled
    Disabled
    AutoRebuildSettingOnBaseImageUpdate
    OnBaseImageUpdate
    Disabled
    Disabled
    OnBaseImageUpdate
    OnBaseImageUpdate
    Disabled
    Disabled
    OnBaseImageUpdate
    OnBaseImageUpdate
    DISABLED
    Disabled
    ON_BASE_IMAGE_UPDATE
    OnBaseImageUpdate
    "Disabled"
    Disabled
    "OnBaseImageUpdate"
    OnBaseImageUpdate

    BuildContext, BuildContextArgs

    ContextUri string

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    DockerfilePath string

    Path to the Dockerfile in the build context.

    ContextUri string

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    DockerfilePath string

    Path to the Dockerfile in the build context.

    contextUri String

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfilePath String

    Path to the Dockerfile in the build context.

    contextUri string

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfilePath string

    Path to the Dockerfile in the build context.

    context_uri str

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfile_path str

    Path to the Dockerfile in the build context.

    contextUri String

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfilePath String

    Path to the Dockerfile in the build context.

    BuildContextResponse, BuildContextResponseArgs

    ContextUri string

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    DockerfilePath string

    Path to the Dockerfile in the build context.

    ContextUri string

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    DockerfilePath string

    Path to the Dockerfile in the build context.

    contextUri String

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfilePath String

    Path to the Dockerfile in the build context.

    contextUri string

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfilePath string

    Path to the Dockerfile in the build context.

    context_uri str

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfile_path str

    Path to the Dockerfile in the build context.

    contextUri String

    [Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.

    dockerfilePath String

    Path to the Dockerfile in the build context.

    EnvironmentVersion, EnvironmentVersionArgs

    AutoRebuild string | Pulumi.AzureNative.MachineLearningServices.AutoRebuildSetting

    Defines if image needs to be rebuilt based on base image changes.

    Build Pulumi.AzureNative.MachineLearningServices.Inputs.BuildContext

    Configuration settings for Docker build context.

    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.

    Image string

    Name of the image that will be used for the environment.

    InferenceConfig Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceContainerProperties

    Defines configuration specific to inference.

    IsAnonymous bool

    If the name version are system generated (anonymous registration).

    IsArchived bool

    Is the asset archived?

    OsType string | Pulumi.AzureNative.MachineLearningServices.OperatingSystemType

    The OS type of the environment.

    Properties Dictionary<string, string>

    The asset property dictionary.

    Stage string

    Stage in the environment lifecycle assigned to this environment

    Tags Dictionary<string, string>

    Tag dictionary. Tags can be added, removed, and updated.

    AutoRebuild string | AutoRebuildSetting

    Defines if image needs to be rebuilt based on base image changes.

    Build BuildContext

    Configuration settings for Docker build context.

    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.

    Image string

    Name of the image that will be used for the environment.

    InferenceConfig InferenceContainerProperties

    Defines configuration specific to inference.

    IsAnonymous bool

    If the name version are system generated (anonymous registration).

    IsArchived bool

    Is the asset archived?

    OsType string | OperatingSystemType

    The OS type of the environment.

    Properties map[string]string

    The asset property dictionary.

    Stage string

    Stage in the environment lifecycle assigned to this environment

    Tags map[string]string

    Tag dictionary. Tags can be added, removed, and updated.

    autoRebuild String | AutoRebuildSetting

    Defines if image needs to be rebuilt based on base image changes.

    build BuildContext

    Configuration settings for Docker build context.

    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.

    image String

    Name of the image that will be used for the environment.

    inferenceConfig InferenceContainerProperties

    Defines configuration specific to inference.

    isAnonymous Boolean

    If the name version are system generated (anonymous registration).

    isArchived Boolean

    Is the asset archived?

    osType String | OperatingSystemType

    The OS type of the environment.

    properties Map<String,String>

    The asset property dictionary.

    stage String

    Stage in the environment lifecycle assigned to this environment

    tags Map<String,String>

    Tag dictionary. Tags can be added, removed, and updated.

    autoRebuild string | AutoRebuildSetting

    Defines if image needs to be rebuilt based on base image changes.

    build BuildContext

    Configuration settings for Docker build context.

    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.

    image string

    Name of the image that will be used for the environment.

    inferenceConfig InferenceContainerProperties

    Defines configuration specific to inference.

    isAnonymous boolean

    If the name version are system generated (anonymous registration).

    isArchived boolean

    Is the asset archived?

    osType string | OperatingSystemType

    The OS type of the environment.

    properties {[key: string]: string}

    The asset property dictionary.

    stage string

    Stage in the environment lifecycle assigned to this environment

    tags {[key: string]: string}

    Tag dictionary. Tags can be added, removed, and updated.

    auto_rebuild str | AutoRebuildSetting

    Defines if image needs to be rebuilt based on base image changes.

    build BuildContext

    Configuration settings for Docker build context.

    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.

    image str

    Name of the image that will be used for the environment.

    inference_config InferenceContainerProperties

    Defines configuration specific to inference.

    is_anonymous bool

    If the name version are system generated (anonymous registration).

    is_archived bool

    Is the asset archived?

    os_type str | OperatingSystemType

    The OS type of the environment.

    properties Mapping[str, str]

    The asset property dictionary.

    stage str

    Stage in the environment lifecycle assigned to this environment

    tags Mapping[str, str]

    Tag dictionary. Tags can be added, removed, and updated.

    autoRebuild String | "Disabled" | "OnBaseImageUpdate"

    Defines if image needs to be rebuilt based on base image changes.

    build Property Map

    Configuration settings for Docker build context.

    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.

    image String

    Name of the image that will be used for the environment.

    inferenceConfig Property Map

    Defines configuration specific to inference.

    isAnonymous Boolean

    If the name version are system generated (anonymous registration).

    isArchived Boolean

    Is the asset archived?

    osType String | "Linux" | "Windows"

    The OS type of the environment.

    properties Map<String>

    The asset property dictionary.

    stage String

    Stage in the environment lifecycle assigned to this environment

    tags Map<String>

    Tag dictionary. Tags can be added, removed, and updated.

    EnvironmentVersionResponse, EnvironmentVersionResponseArgs

    EnvironmentType string

    Environment type is either user managed or curated by the Azure ML service

    ProvisioningState string

    Provisioning state for the environment version.

    AutoRebuild string

    Defines if image needs to be rebuilt based on base image changes.

    Build Pulumi.AzureNative.MachineLearningServices.Inputs.BuildContextResponse

    Configuration settings for Docker build context.

    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.

    Image string

    Name of the image that will be used for the environment.

    InferenceConfig Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesResponse

    Defines configuration specific to inference.

    IsAnonymous bool

    If the name version are system generated (anonymous registration).

    IsArchived bool

    Is the asset archived?

    OsType string

    The OS type of the environment.

    Properties Dictionary<string, string>

    The asset property dictionary.

    Stage string

    Stage in the environment lifecycle assigned to this environment

    Tags Dictionary<string, string>

    Tag dictionary. Tags can be added, removed, and updated.

    EnvironmentType string

    Environment type is either user managed or curated by the Azure ML service

    ProvisioningState string

    Provisioning state for the environment version.

    AutoRebuild string

    Defines if image needs to be rebuilt based on base image changes.

    Build BuildContextResponse

    Configuration settings for Docker build context.

    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.

    Image string

    Name of the image that will be used for the environment.

    InferenceConfig InferenceContainerPropertiesResponse

    Defines configuration specific to inference.

    IsAnonymous bool

    If the name version are system generated (anonymous registration).

    IsArchived bool

    Is the asset archived?

    OsType string

    The OS type of the environment.

    Properties map[string]string

    The asset property dictionary.

    Stage string

    Stage in the environment lifecycle assigned to this environment

    Tags map[string]string

    Tag dictionary. Tags can be added, removed, and updated.

    environmentType String

    Environment type is either user managed or curated by the Azure ML service

    provisioningState String

    Provisioning state for the environment version.

    autoRebuild String

    Defines if image needs to be rebuilt based on base image changes.

    build BuildContextResponse

    Configuration settings for Docker build context.

    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.

    image String

    Name of the image that will be used for the environment.

    inferenceConfig InferenceContainerPropertiesResponse

    Defines configuration specific to inference.

    isAnonymous Boolean

    If the name version are system generated (anonymous registration).

    isArchived Boolean

    Is the asset archived?

    osType String

    The OS type of the environment.

    properties Map<String,String>

    The asset property dictionary.

    stage String

    Stage in the environment lifecycle assigned to this environment

    tags Map<String,String>

    Tag dictionary. Tags can be added, removed, and updated.

    environmentType string

    Environment type is either user managed or curated by the Azure ML service

    provisioningState string

    Provisioning state for the environment version.

    autoRebuild string

    Defines if image needs to be rebuilt based on base image changes.

    build BuildContextResponse

    Configuration settings for Docker build context.

    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.

    image string

    Name of the image that will be used for the environment.

    inferenceConfig InferenceContainerPropertiesResponse

    Defines configuration specific to inference.

    isAnonymous boolean

    If the name version are system generated (anonymous registration).

    isArchived boolean

    Is the asset archived?

    osType string

    The OS type of the environment.

    properties {[key: string]: string}

    The asset property dictionary.

    stage string

    Stage in the environment lifecycle assigned to this environment

    tags {[key: string]: string}

    Tag dictionary. Tags can be added, removed, and updated.

    environment_type str

    Environment type is either user managed or curated by the Azure ML service

    provisioning_state str

    Provisioning state for the environment version.

    auto_rebuild str

    Defines if image needs to be rebuilt based on base image changes.

    build BuildContextResponse

    Configuration settings for Docker build context.

    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.

    image str

    Name of the image that will be used for the environment.

    inference_config InferenceContainerPropertiesResponse

    Defines configuration specific to inference.

    is_anonymous bool

    If the name version are system generated (anonymous registration).

    is_archived bool

    Is the asset archived?

    os_type str

    The OS type of the environment.

    properties Mapping[str, str]

    The asset property dictionary.

    stage str

    Stage in the environment lifecycle assigned to this environment

    tags Mapping[str, str]

    Tag dictionary. Tags can be added, removed, and updated.

    environmentType String

    Environment type is either user managed or curated by the Azure ML service

    provisioningState String

    Provisioning state for the environment version.

    autoRebuild String

    Defines if image needs to be rebuilt based on base image changes.

    build Property Map

    Configuration settings for Docker build context.

    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.

    image String

    Name of the image that will be used for the environment.

    inferenceConfig Property Map

    Defines configuration specific to inference.

    isAnonymous Boolean

    If the name version are system generated (anonymous registration).

    isArchived Boolean

    Is the asset archived?

    osType String

    The OS type of the environment.

    properties Map<String>

    The asset property dictionary.

    stage String

    Stage in the environment lifecycle assigned to this environment

    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:EnvironmentVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments/{name}/versions/{version} 
    

    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 v2.8.0 published on Monday, Sep 18, 2023 by Pulumi