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Get-AzMLWorkspaceEnvironmentContainer
获取容器。
语法
Get-AzMLWorkspaceEnvironmentContainer
-ResourceGroupName <String>
-WorkspaceName <String>
[-SubscriptionId <String[]>]
[-ListViewType <ListViewType>]
[-Skip <String>]
[-DefaultProfile <PSObject>]
[<CommonParameters>]
Get-AzMLWorkspaceEnvironmentContainer
-Name <String>
-ResourceGroupName <String>
-WorkspaceName <String>
[-SubscriptionId <String[]>]
[-DefaultProfile <PSObject>]
[<CommonParameters>]
Get-AzMLWorkspaceEnvironmentContainer
-InputObject <IMachineLearningServicesIdentity>
[-DefaultProfile <PSObject>]
[<CommonParameters>]
说明
获取容器。
示例
示例 1:列出工作区下的所有环境容器
Get-AzMLWorkspaceEnvironmentContainer -ResourceGroupName ml-rg-test -WorkspaceName mlworkspace-portal01
Name SystemDataCreatedAt SystemDataCreatedBy SystemDataCreatedByType SystemDataLastModifiedAt SystemDataLastModifiedBy SystemDataLastModifiedByType ResourceGroupName
---- ------------------- ------------------- ----------------------- ------------------------ ------------------------ ---------------------------- -----------------
pwshenv01 5/11/2022 2:31:25 AM Lucas Yao (Wicresoft North America) User 5/11/2022 2:31:25 AM Lucas Yao (Wicresoft North America) User ml-rg-test
lightgbm-environment 5/5/2022 2:25:41 AM Lucas Yao (Wicresoft North America) User 5/5/2022 2:25:41 AM Lucas Yao (Wicresoft North America) User ml-rg-test
env04 5/5/2022 2:13:02 AM Lucas Yao (Wicresoft North America) User 5/5/2022 2:13:02 AM Lucas Yao (Wicresoft North America) User ml-rg-test
env03 5/5/2022 2:11:34 AM Lucas Yao (Wicresoft North America) User 5/5/2022 2:11:34 AM Lucas Yao (Wicresoft North America) User ml-rg-test
env02 5/5/2022 2:11:08 AM Lucas Yao (Wicresoft North America) User 5/5/2022 2:11:08 AM Lucas Yao (Wicresoft North America) User ml-rg-test
env01 5/5/2022 2:10:35 AM Lucas Yao (Wicresoft North America) User 5/5/2022 2:10:35 AM Lucas Yao (Wicresoft North America) User ml-rg-test
docker-image-example 5/5/2022 1:57:13 AM Lucas Yao (Wicresoft North America) User 5/5/2022 1:57:13 AM Lucas Yao (Wicresoft North America) User ml-rg-test
test 5/5/2022 1:51:43 AM Lucas Yao User 5/5/2022 1:51:43 AM Lucas Yao User ml-rg-test
AzureML-responsibleai-0.18-ubuntu20.04-py38-cpu 5/18/2022 11:07:16 PM Microsoft User 5/18/2022 11:07:16 PM Microsoft User ml-rg-test
列出工作区下的所有环境容器
示例 2:按名称获取环境容器
Get-AzMLWorkspaceEnvironmentContainer -ResourceGroupName ml-rg-test -WorkspaceName mlworkspace-portal01 -Name pwshenv01
Name SystemDataCreatedAt SystemDataCreatedBy SystemDataCreatedByType SystemDataLastModifiedAt SystemDataLastModifiedBy SystemDataLastModifiedByType ResourceGroupName
---- ------------------- ------------------- ----------------------- ------------------------ ------------------------ ---------------------------- -----------------
pwshenv01 5/11/2022 2:31:25 AM Lucas Yao (Wicresoft North America) User 5/11/2022 2:31:25 AM Lucas Yao (Wicresoft North America) User ml-rg-test
按名称获取环境容器
参数
-DefaultProfile
用于与 Azure 通信的凭据、帐户、租户和订阅。
Type: | PSObject |
Aliases: | AzureRMContext, AzureCredential |
Position: | Named |
Default value: | None |
Required: | False |
Accept pipeline input: | False |
Accept wildcard characters: | False |
-InputObject
要构造的标识参数,请参阅 INPUTOBJECT 属性的 NOTES 部分并创建哈希表。
Type: | IMachineLearningServicesIdentity |
Position: | Named |
Default value: | None |
Required: | True |
Accept pipeline input: | True |
Accept wildcard characters: | False |
-ListViewType
用于包括/排除(例如)存档实体的视图类型。
Type: | ListViewType |
Position: | Named |
Default value: | None |
Required: | False |
Accept pipeline input: | False |
Accept wildcard characters: | False |
-Name
容器名称。 此参数区分大小写。
Type: | String |
Position: | Named |
Default value: | None |
Required: | True |
Accept pipeline input: | False |
Accept wildcard characters: | False |
-ResourceGroupName
资源组的名称。 此名称不区分大小写。
Type: | String |
Position: | Named |
Default value: | None |
Required: | True |
Accept pipeline input: | False |
Accept wildcard characters: | False |
-Skip
分页的延续标记。
Type: | String |
Position: | Named |
Default value: | None |
Required: | False |
Accept pipeline input: | False |
Accept wildcard characters: | False |
-SubscriptionId
目标订阅的 ID。
Type: | String[] |
Position: | Named |
Default value: | (Get-AzContext).Subscription.Id |
Required: | False |
Accept pipeline input: | False |
Accept wildcard characters: | False |
-WorkspaceName
Azure 机器学习工作区的名称。
Type: | String |
Position: | Named |
Default value: | None |
Required: | True |
Accept pipeline input: | False |
Accept wildcard characters: | False |
输入
IMachineLearningServicesIdentity
输出
备注
别名
复杂参数属性
若要创建下面所述的参数,请构造一个包含相应属性的哈希表。 有关哈希表的信息,请运行 Get-Help about_Hash_Tables。
INPUTOBJECT <IMachineLearningServicesIdentity>
:标识参数
[ComputeName <String>]
:Azure 机器学习计算的名称。[ConnectionName <String>]
:工作区连接的友好名称[DeploymentName <String>]
:推理部署标识符。[EndpointName <String>]
:推理终结点名称。[Id <String>]
:作业的名称和标识符。 此参数区分大小写。[Id1 <String>]
:资源标识路径[Location <String>]
:查询资源使用情况的位置。[Name <String>]
:容器名称。 此参数区分大小写。[PrivateEndpointConnectionName <String>]
:与工作区关联的专用终结点连接的名称[ResourceGroupName <String>]
:资源组的名称。 此名称不区分大小写。[SubscriptionId <String>]
:目标订阅的 ID。[Version <String>]
:版本标识符。 此参数区分大小写。[WorkspaceName <String>]
:Azure 机器学习工作区的名称。
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