Azure Native v1.103.0, Jun 2 23

azure-native.machinelearningservices.EnvironmentSpecificationVersion

Explore with Pulumi AI

Azure Resource Manager resource envelope. API Version: 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"
	"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.EnvironmentSpecificationVersionResponse{
				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 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(Map.ofEntries(
                Map.entry("condaFile", """
channels:
- defaults
dependencies:
- python=3.7.7
name: my-env                """),
                Map.entry("description", "string"),
                Map.entry("docker", Map.ofEntries(
                    Map.entry("dockerSpecificationType", "Build"),
                    Map.entry("dockerfile", "FROM myimage")
                )),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("tags", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                ))
            ))
            .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=azure_native.machinelearningservices.EnvironmentSpecificationVersionResponseArgs(
        conda_file="""channels:
- defaults
dependencies:
- python=3.7.7
name: my-env""",
        description="string",
        docker=azure_native.machinelearningservices.DockerBuildArgs(
            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

new EnvironmentSpecificationVersion(name: string, args: EnvironmentSpecificationVersionArgs, opts?: CustomResourceOptions);

@overload
def EnvironmentSpecificationVersion(resource_name: str,
                                    opts: Optional[ResourceOptions] = None,
                                    name: Optional[str] = None,
                                    properties: Optional[EnvironmentSpecificationVersionArgs] = None,
                                    resource_group_name: Optional[str] = None,
                                    version: Optional[str] = None,
                                    workspace_name: Optional[str] = None)
@overload
def EnvironmentSpecificationVersion(resource_name: str,
                                    args: EnvironmentSpecificationVersionInitArgs,
                                    opts: Optional[ResourceOptions] = 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.

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.

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

The EnvironmentSpecificationVersion resource accepts the following input properties:

Name string: Name of EnvironmentSpecificationVersion.
Properties Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentSpecificationVersionArgs: [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 EnvironmentSpecificationVersionArgs: [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 EnvironmentSpecificationVersionArgs: [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

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

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

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

OperatingSystemType string | Pulumi.AzureNative.MachineLearningServices.OperatingSystemType: The OS type the Environment.

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

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

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

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

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

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

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

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

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

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

CreatedAt string: The timestamp of resource creation (UTC)
CreatedBy string: An identifier for the identity that created the resource
CreatedByType string: The type of identity that created the resource
LastModifiedAt string: The timestamp of resource last modification (UTC)
LastModifiedBy string: An identifier for the identity that last modified the resource
LastModifiedByType string: The type of identity that last modified the resource

CreatedAt string: The timestamp of resource creation (UTC)
CreatedBy string: An identifier for the identity that created the resource
CreatedByType string: The type of identity that created the resource
LastModifiedAt string: The timestamp of resource last modification (UTC)
LastModifiedBy string: An identifier for the identity that last modified the resource
LastModifiedByType string: The type of identity that last modified the resource

createdAt String: The timestamp of resource creation (UTC)
createdBy String: An identifier for the identity that created the resource
createdByType String: The type of identity that created the resource
lastModifiedAt String: The timestamp of resource last modification (UTC)
lastModifiedBy String: An identifier for the identity that last modified the resource
lastModifiedByType String: The type of identity that last modified the resource

createdAt string: The timestamp of resource creation (UTC)
createdBy string: An identifier for the identity that created the resource
createdByType string: The type of identity that created the resource
lastModifiedAt string: The timestamp of resource last modification (UTC)
lastModifiedBy string: An identifier for the identity that last modified the resource
lastModifiedByType string: The type of identity that last modified the resource

created_at str: The timestamp of resource creation (UTC)
created_by str: An identifier for the identity that created the resource
created_by_type str: The type of identity that created the resource
last_modified_at str: The timestamp of resource last modification (UTC)
last_modified_by str: An identifier for the identity that last modified the resource
last_modified_by_type str: The type of identity that last modified the resource

createdAt String: The timestamp of resource creation (UTC)
createdBy String: An identifier for the identity that created the resource
createdByType String: The type of identity that created the resource
lastModifiedAt String: The timestamp of resource last modification (UTC)
lastModifiedBy String: An identifier for the identity that last modified the resource
lastModifiedByType String: The type of identity that last modified the resource

Import

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

$ pulumi import azure-native:machinelearningservices:EnvironmentSpecificationVersion 1 /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/testEnvironment/versions/1

Package Details

Repository: Azure Native pulumi/pulumi-azure-native
License: Apache-2.0