EnvironmentVersionProperties interface
Environment version details.
- Extends
Properties
| auto |
Defines if image needs to be rebuilt based on base image changes. |
| build | Configuration settings for Docker build context. |
| conda |
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" /> |
| environment |
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" /> NOTE: This property will not be serialized. It can only be populated by the server. |
| 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" /> |
| inference |
Defines configuration specific to inference. |
| os |
The OS type of the environment. |
| provisioning |
Provisioning state for the environment version. NOTE: This property will not be serialized. It can only be populated by the server. |
| stage | Stage in the environment lifecycle assigned to this environment |
Inherited Properties
| description | The asset description text. |
| is |
If the name version are system generated (anonymous registration). |
| is |
Is the asset archived? |
| properties | The asset property dictionary. |
| tags | Tag dictionary. Tags can be added, removed, and updated. |
Property Details
autoRebuild
Defines if image needs to be rebuilt based on base image changes.
autoRebuild?: string
Property Value
string
build
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" /> NOTE: This property will not be serialized. It can only be populated by the server.
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
inferenceConfig
Defines configuration specific to inference.
inferenceConfig?: InferenceContainerProperties
Property Value
osType
The OS type of the environment.
osType?: string
Property Value
string
provisioningState
Provisioning state for the environment version. NOTE: This property will not be serialized. It can only be populated by the server.
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?: {[propertyName: string]: string | null}
Property Value
{[propertyName: string]: string | null}
Inherited From AssetBase.properties
tags
Tag dictionary. Tags can be added, removed, and updated.
tags?: {[propertyName: string]: string | null}
Property Value
{[propertyName: string]: string | null}
Inherited From AssetBase.tags