Azure Native v2.8.0, Sep 18 23

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

pulumi/pulumi-azure-native

azure-native.machinelearningservices.EnvironmentVersion

Explore with Pulumi AI

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

pulumi/pulumi-azure-native

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

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

pulumi/pulumi-azure-native

azure-native.machinelearningservices.EnvironmentVersion

On this page

On this page

Example Usage

CreateOrUpdate Workspace Environment Version.

Create EnvironmentVersion Resource

EnvironmentVersion Resource Properties

Inputs

Outputs

Supporting Types

AutoRebuildSetting, AutoRebuildSettingArgs

BuildContext, BuildContextArgs

BuildContextResponse, BuildContextResponseArgs

EnvironmentVersion, EnvironmentVersionArgs

EnvironmentVersionResponse, EnvironmentVersionResponseArgs

InferenceContainerProperties, InferenceContainerPropertiesArgs

InferenceContainerPropertiesResponse, InferenceContainerPropertiesResponseArgs

OperatingSystemType, OperatingSystemTypeArgs

Route, RouteArgs

RouteResponse, RouteResponseArgs

SystemDataResponse, SystemDataResponseArgs

Import

Package Details

On this page

On this page