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docs-ref-autogen/azure-ai-ml/azure.ai.ml.entities.ComputeInstance.yml

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return: The last operation.
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rtype: str'
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- uid: azure.ai.ml.entities.ComputeInstance.os_image_metadata
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name: os_image_metadata
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summary: 'Metadata about the operating system image for this compute instance.
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return: Operating system image metadata.
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rtype: ImageMetadata'
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- uid: azure.ai.ml.entities.ComputeInstance.services
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name: services
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summary: 'The services for the compute instance.

docs-ref-autogen/azure-ai-ml/azure.ai.ml.entities.ComputeSchedules.yml

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@@ -5,17 +5,9 @@ fullName: azure.ai.ml.entities.ComputeSchedules
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module: azure.ai.ml.entities
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inheritances:
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- azure.ai.ml.entities._mixins.RestTranslatableMixin
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summary: '> [!NOTE]
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> This is an experimental class, and may change at any time. Please see [https://aka.ms/azuremlexperimental](https://aka.ms/azuremlexperimental)
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for more information.
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>
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Compute schedules.'
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summary: Compute schedules.
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constructor:
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syntax: 'ComputeSchedules(*, compute_start_stop: List[azure.ai.ml.entities._compute._schedule.ComputeStartStopSchedule]
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syntax: 'ComputeSchedules(*, compute_start_stop: Optional[List[azure.ai.ml.entities._compute._schedule.ComputeStartStopSchedule]]
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= None)'
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parameters:
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- name: compute_start_stop
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### YamlMime:PythonClass
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uid: azure.ai.ml.entities.ImageMetadata
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name: ImageMetadata
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fullName: azure.ai.ml.entities.ImageMetadata
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module: azure.ai.ml.entities
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inheritances:
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- builtins.object
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summary: '> [!NOTE]
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> This is an experimental class, and may change at any time. Please see [https://aka.ms/azuremlexperimental](https://aka.ms/azuremlexperimental)
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for more information.
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>
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Metadata about the operating system image for this compute instance.'
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constructor:
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syntax: 'ImageMetadata(*, is_latest_os_image_version: bool, current_image_version:
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str, latest_image_version: str)'
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attributes:
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- uid: azure.ai.ml.entities.ImageMetadata.current_image_version
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name: current_image_version
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summary: 'Indicates the current OS image version number.
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return: Current OS Image version number.
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rtype: str'
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- uid: azure.ai.ml.entities.ImageMetadata.is_latest_os_image_version
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name: is_latest_os_image_version
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summary: 'Indicates whether a compute instance is running on the latest OS image
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version.
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return: State of whether the compute instance is running the latest OS image version.
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rtype: bool'
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- uid: azure.ai.ml.entities.ImageMetadata.latest_image_version
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name: latest_image_version
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summary: 'Indicates the latest OS image version number.
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return: Latest OS Image version number.
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rtype: str'

docs-ref-autogen/azure-ai-ml/azure.ai.ml.entities.Registry.yml

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@@ -16,10 +16,9 @@ summary: '> [!NOTE]
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>'
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constructor:
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syntax: 'Registry(*, name: str, location: str, identity: azure.ai.ml.entities._credentials.IdentityConfiguration
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= None, description: str = None, tags: Dict[str, str] = None, public_network_access:
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str = None, discovery_url: str = None, intellectual_property_publisher: str =
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None, managed_resource_group: str = None, mlflow_registry_uri: str = None, replication_locations:
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List[azure.ai.ml.entities._registry.registry_support_classes.RegistryRegionDetails],
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= None, tags: Dict[str, str] = None, public_network_access: str = None, discovery_url:
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str = None, intellectual_property_publisher: str = None, managed_resource_group:
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str = None, mlflow_registry_uri: str = None, replication_locations: List[azure.ai.ml.entities._registry.registry_support_classes.RegistryRegionDetails],
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**kwargs)'
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methods:
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- uid: azure.ai.ml.entities.Registry.dump

docs-ref-autogen/azure-ai-ml/azure.ai.ml.entities.RegistryRegionDetails.yml

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>'
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constructor:
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syntax: 'RegistryRegionDetails(*, acr_config: List[Union[str, azure.ai.ml.entities._registry.registry_support_classes.SystemCreatedAcrAccount]]
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= None, location: str = None, storage_config: List[Union[str, azure.ai.ml.entities._registry.registry_support_classes.SystemCreatedStorageAccount]]
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= None, location: str = None, storage_config: Union[List[str], azure.ai.ml.entities._registry.registry_support_classes.SystemCreatedStorageAccount]
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= None)'

docs-ref-autogen/azure-ai-ml/azure.ai.ml.entities.SystemCreatedStorageAccount.yml

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>'
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constructor:
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syntax: 'SystemCreatedStorageAccount(*, storage_account_hns: bool, storage_account_type:
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azure.ai.ml.constants._registry.StorageAccountType, arm_resource_id: str = None)'
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azure.ai.ml.constants._registry.StorageAccountType, arm_resource_id: str = None,
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replicated_ids: List[str] = None, replication_count=1)'

docs-ref-autogen/azure-ai-ml/azure.ai.ml.entities.yml

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- azure.ai.ml.entities.EndpointConnection
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- azure.ai.ml.entities.Environment
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- azure.ai.ml.entities.IdentityConfiguration
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- azure.ai.ml.entities.ImageMetadata
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- azure.ai.ml.entities.InputPort
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- azure.ai.ml.entities.Job
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- azure.ai.ml.entities.JobResourceConfiguration

docs-ref-autogen/azure-ai-ml/azure.ai.ml.exceptions.UnsupportedParameterKindError.yml

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inputs/outputs.'
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constructor:
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syntax: UnsupportedParameterKindError(func_name)
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syntax: UnsupportedParameterKindError(func_name, parameter_kind=None)
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parameters:
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- name: func_name
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- name: parameter_kind
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defaultValue: None

docs-ref-autogen/azure-ai-ml/azure.ai.ml.operations.BatchDeploymentOperations.yml

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types:
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- <xref:str>
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return:
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description: a deployment entity
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description: A deployment entity
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types:
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- <xref:azure.ai.ml.entities.BatchDeployment>
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- uid: azure.ai.ml.operations.BatchDeploymentOperations.list

docs-ref-autogen/azure-ai-ml/azure.ai.ml.operations.BatchEndpointOperations.yml

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types:
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- <xref:str>
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- name: deployment_name
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description: 'The name of a specific deployment to invoke. This is optional.
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description: '(Optional) The name of a specific deployment to invoke. This is
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optional.
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By default requests are routed to any of the deployments according to the traffic
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rules.'
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isRequired: true
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types:
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- <xref:Optional>[<xref:str>]
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- <xref:str>
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- name: inputs
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description: '(Optional) A dictionary of existing data asset, public uri file
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or folder
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return:
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description: List of jobs
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types:
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- <xref:ItemPaged>[<xref:azure.ai.ml.entities.BatchJob>]
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- <xref:azure.core.paging.ItemPaged>[<xref:azure.ai.ml.entities.BatchJob>]

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