WorkspacesOperations Class

WorkspacesOperations operations.

You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute.

Inheritance

builtins.object

WorkspacesOperations

Constructor

WorkspacesOperations(client, config, serializer, deserializer)

Parameters

client

Required

Client for service requests.

config

Required

Configuration of service client.

serializer

Required

An object model serializer.

deserializer

Required

An object model deserializer.

Variables

models

Alias to model classes used in this operation group.

Methods

begin_create_or_update	Creates or updates a workspace with the specified parameters.
begin_delete	Deletes a machine learning workspace.
get	Gets the properties of the specified machine learning workspace.
list_by_resource_group	Lists all the available machine learning workspaces under the specified resource group.
list_by_subscription	Lists all the available machine learning workspaces under the specified subscription.
list_keys	Lists all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry.
resync_keys	Resync all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry.
update	Updates a machine learning workspace with the specified parameters.

begin_create_or_update

Creates or updates a workspace with the specified parameters.

begin_create_or_update(resource_group_name: str, workspace_name: str, parameters: _models.Workspace, **kwargs: Any) -> LROPoller[_models.Workspace]

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

workspace_name

str

Required

Name of Azure Machine Learning workspace.

parameters

Workspace

Required

The parameters for creating or updating a machine learning workspace.

cls

callable

A custom type or function that will be passed the direct response

continuation_token

str

A continuation token to restart a poller from a saved state.

polling

bool or PollingMethod

True for ARMPolling, False for no polling, or a polling object for personal polling strategy

polling_interval

int

Default waiting time between two polls for LRO operations if no Retry-After header is present.

Returns

An instance of LROPoller that returns either Workspace or the result of cls(response)

Return type

LROPoller[Workspace]

Exceptions

HttpResponseError

begin_delete

Deletes a machine learning workspace.

begin_delete(resource_group_name: str, workspace_name: str, **kwargs: Any) -> LROPoller[None]

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

workspace_name

str

Required

Name of Azure Machine Learning workspace.

cls

callable

A custom type or function that will be passed the direct response

continuation_token

str

A continuation token to restart a poller from a saved state.

polling

bool or PollingMethod

True for ARMPolling, False for no polling, or a polling object for personal polling strategy

polling_interval

int

Default waiting time between two polls for LRO operations if no Retry-After header is present.

Returns

An instance of LROPoller that returns either None or the result of cls(response)

Return type

LROPoller[None]

Exceptions

HttpResponseError

get

Gets the properties of the specified machine learning workspace.

get(resource_group_name: str, workspace_name: str, **kwargs: Any) -> _models.Workspace

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

workspace_name

str

Required

Name of Azure Machine Learning workspace.

cls

callable

A custom type or function that will be passed the direct response

Returns

Workspace, or the result of cls(response)

Return type

Workspace

Exceptions

HttpResponseError

list_by_resource_group

Lists all the available machine learning workspaces under the specified resource group.

list_by_resource_group(resource_group_name: str, skiptoken: Optional[str] = None, **kwargs: Any) -> Iterable[_models.WorkspaceListResult]

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

skiptoken

str

default value: None

Continuation token for pagination.

cls

callable

A custom type or function that will be passed the direct response

Returns

An iterator like instance of either WorkspaceListResult or the result of cls(response)

Return type

ItemPaged[WorkspaceListResult]

Exceptions

HttpResponseError

list_by_subscription

Lists all the available machine learning workspaces under the specified subscription.

list_by_subscription(skiptoken: Optional[str] = None, **kwargs: Any) -> Iterable[_models.WorkspaceListResult]

Parameters

skiptoken

str

default value: None

Continuation token for pagination.

cls

callable

A custom type or function that will be passed the direct response

Returns

An iterator like instance of either WorkspaceListResult or the result of cls(response)

Return type

ItemPaged[WorkspaceListResult]

Exceptions

HttpResponseError

list_keys

Lists all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry.

list_keys(resource_group_name: str, workspace_name: str, **kwargs: Any) -> _models.ListWorkspaceKeysResult

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

workspace_name

str

Required

Name of Azure Machine Learning workspace.

cls

callable

A custom type or function that will be passed the direct response

Returns

ListWorkspaceKeysResult, or the result of cls(response)

Return type

ListWorkspaceKeysResult

Exceptions

HttpResponseError

resync_keys

Resync all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry.

resync_keys(resource_group_name: str, workspace_name: str, **kwargs: Any) -> None

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

workspace_name

str

Required

Name of Azure Machine Learning workspace.

cls

callable

A custom type or function that will be passed the direct response

Returns

None, or the result of cls(response)

Return type

None

Exceptions

HttpResponseError

update

Updates a machine learning workspace with the specified parameters.

update(resource_group_name: str, workspace_name: str, parameters: _models.WorkspaceUpdateParameters, **kwargs: Any) -> _models.Workspace

Parameters

resource_group_name

str

Required

Name of the resource group in which workspace is located.

workspace_name

str

Required

Name of Azure Machine Learning workspace.

parameters

WorkspaceUpdateParameters

Required

The parameters for updating a machine learning workspace.

cls

callable

A custom type or function that will be passed the direct response

Returns

Workspace, or the result of cls(response)

Return type

Workspace

Exceptions

HttpResponseError

Attributes

models

models = <module 'azure.mgmt.machinelearningservices.models' from 'C:\\hostedtoolcache\\windows\\Python\\3.9.13\\x64\\lib\\site-packages\\azure\\mgmt\\machinelearningservices\\models\\__init__.py'>