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Get-AzMLWorkspaceModelContainer
获取容器。
语法
Get-AzMLWorkspaceModelContainer
-ResourceGroupName <String>
-WorkspaceName <String>
[-SubscriptionId <String[]>]
[-Count <Int32>]
[-ListViewType <ListViewType>]
[-Skip <String>]
[-DefaultProfile <PSObject>]
[<CommonParameters>] Get-AzMLWorkspaceModelContainer
-Name <String>
-ResourceGroupName <String>
-WorkspaceName <String>
[-SubscriptionId <String[]>]
[-DefaultProfile <PSObject>]
[<CommonParameters>] Get-AzMLWorkspaceModelContainer
-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模型容器
Get-AzMLWorkspaceModelContainer -ResourceGroupName ml-rg-test -WorkspaceName mlworkspace-cli01
Name SystemDataCreatedAt SystemDataCreatedBy SystemDataCreatedByType SystemDataLastModifiedAt SystemDataLastModifiedBy SystemDataLastModifiedByType ResourceGroupName
---- ------------------- ------------------- ----------------------- ------------------------ ------------------------ ---------------------------- -----------------
azureml_plucky_collar_5x0ds0fgb3_output_mlflow_log_model 5/18/2022 7:47:43 AM Lucas Yao (Wicresoft North America) User 5/18/2022 7:47:43 AM Lucas Yao (Wicresoft North America) User ml-rg-test
sklearn-iris-example 5/18/2022 7:57:36 AM Lucas Yao (Wicresoft North America) User 5/18/2022 7:57:36 AM Lucas Yao (Wicresoft North America) User ml-rg-test
azureml_ivory_beard_fsbkdw8n77_output_mlflow_log_model 5/18/2022 8:06:06 AM Lucas Yao (Wicresoft North America) User 5/18/2022 8:06:06 AM Lucas Yao (Wicresoft North America) User ml-rg-test
sklearn-iris-cli 5/18/2022 8:35:26 AM Lucas Yao (Wicresoft North America) User 5/18/2022 8:35:26 AM Lucas Yao (Wicresoft North America) User ml-rg-test
a99089c5-23a6-4431-9ecd-37c70f01c9bc 5/19/2022 2:51:55 AM Lucas Yao (Wicresoft North America) User 5/19/2022 2:51:55 AM Lucas Yao (Wicresoft North America) User ml-rg-test
87ec6e92-9253-4e3a-99f2-415dc3301102 5/20/2022 7:35:06 AM Lucas Yao (Wicresoft North America) User 5/20/2022 7:35:06 AM Lucas Yao (Wicresoft North America) User ml-rg-test
modelcontaonerpwsh01 5/24/2022 9:21:21 AM Lucas Yao (Wicresoft North America) User 5/24/2022 9:21:21 AM Lucas Yao (Wicresoft North America) User ml-rg-test
c9436a28-a25c-4e36-ab9d-43be313629fc 6/1/2022 6:18:34 AM Lucas Yao (Wicresoft North America) User 6/1/2022 6:18:34 AM Lucas Yao (Wicresoft North America) User ml-rg-test列出工作区下的所有模型容器
示例 2：按名称获取模型容器
Get-AzMLWorkspaceModelContainer -ResourceGroupName ml-rg-test -WorkspaceName mlworkspace-cli01 -Name azureml_plucky_collar_5x0ds0fgb3_output_mlflow_log_model
Name SystemDataCreatedAt SystemDataCreatedBy SystemDataCreatedByType SystemDataLastModifiedAt SystemDataLastModifiedBy SystemDataLastModifiedByType ResourceGroupName
---- ------------------- ------------------- ----------------------- ------------------------ ------------------------ ---------------------------- -----------------
azureml_plucky_collar_5x0ds0fgb3_output_mlflow_log_model 5/18/2022 7:47:43 AM Lucas Yao (Wicresoft North America) User 5/18/2022 7:47:43 AM Lucas Yao (Wicresoft North America) User ml-rg-test按名称获取模型容器
参数
-Count
要返回的结果数上限。
| Type: | Int32 |
| Position: | Named |
| Default value: | None |
| Required: | False |
| Accept pipeline input: | False |
| Accept wildcard characters: | False |
-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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