EnvironmentVersionProperties interface

Package:

@azure/arm-machinelearning

Environment version details.

Extends

AssetBase

Properties

autoRebuild	AutoRebuild setting for the derived image
build	Configuration settings for Docker build context.
condaFile	Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages. <see href="https://repo2docker.readthedocs.io/en/latest/config_files.html#environment-yml-install-a-conda-environment" />
environmentType	Environment type is either user managed or curated by the Azure ML service <see href="https://docs.microsoft.com/en-us/azure/machine-learning/resource-curated-environments" />
image	Name of the image that will be used for the environment. <seealso href="https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-custom-docker-image#use-a-custom-base-image" />
imageDetails	Environment image details.
inferenceConfig	Defines configuration specific to inference.
osType	The type of operating system.
provisioningState	Provisioning state for the environment version.
stage	Stage in the environment lifecycle assigned to this environment

Inherited Properties

description	The asset description text.
isAnonymous	If the name version are system generated (anonymous registration).
isArchived	Is the asset archived?
properties	The asset property dictionary.
tags	Tag dictionary. Tags can be added, removed, and updated.

Property Details

autoRebuild

AutoRebuild setting for the derived image

autoRebuild?: string

Property Value

string

build

Configuration settings for Docker build context.

build?: BuildContext

Property Value

BuildContext

condaFile

Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages. <see href="https://repo2docker.readthedocs.io/en/latest/config_files.html#environment-yml-install-a-conda-environment" />

condaFile?: string

Property Value

string

environmentType

Environment type is either user managed or curated by the Azure ML service <see href="https://docs.microsoft.com/en-us/azure/machine-learning/resource-curated-environments" />

environmentType?: string

Property Value

string

image

Name of the image that will be used for the environment. <seealso href="https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-custom-docker-image#use-a-custom-base-image" />

image?: string

Property Value

string

imageDetails

Environment image details.

imageDetails?: ImageDetails

Property Value

ImageDetails

inferenceConfig

Defines configuration specific to inference.

inferenceConfig?: InferenceContainerProperties

Property Value

InferenceContainerProperties

osType

The type of operating system.

osType?: string

Property Value

string

provisioningState

Provisioning state for the environment version.

provisioningState?: string

Property Value

string

stage

Stage in the environment lifecycle assigned to this environment

stage?: string

Property Value

string

Inherited Property Details

description

The asset description text.

description?: string

Property Value

string

Inherited From AssetBase.description

isAnonymous

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

isAnonymous?: boolean

Property Value

boolean

Inherited From AssetBase.isAnonymous

isArchived

Is the asset archived?

isArchived?: boolean

Property Value

boolean

Inherited From AssetBase.isArchived

properties

The asset property dictionary.

properties?: Record<string, string>

Property Value

Record<string, string>

Inherited From AssetBase.properties

tags

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

tags?: Record<string, string>

Property Value

Record<string, string>

Inherited From AssetBase.tags