Azure Native

Pulumi Official
Package maintained by Pulumi
v1.64.1 published on Wednesday, May 18, 2022 by Pulumi

EnvironmentSpecificationVersion

Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate Environment Specification Version.

using Pulumi;
using AzureNative = Pulumi.AzureNative;

class MyStack : Stack
{
    public MyStack()
    {
        var environmentSpecificationVersion = new AzureNative.MachineLearningServices.EnvironmentSpecificationVersion("environmentSpecificationVersion", new AzureNative.MachineLearningServices.EnvironmentSpecificationVersionArgs
        {
            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/go/azure/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.EnvironmentSpecificationVersionArgs{
				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 java.util.*;
import java.io.*;
import java.nio.*;
import com.pulumi.*;

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.EnvironmentSpecificationVersionArgs(
        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 a 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 | 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
https://github.com/pulumi/pulumi-azure-native
License
Apache-2.0