PrivateEndpointConnectionsOperations Class

PrivateEndpointConnectionsOperations 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
PrivateEndpointConnectionsOperations

Constructor

PrivateEndpointConnectionsOperations(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_delete

Deletes the specified private endpoint connection associated with the workspace.

get

Gets the specified private endpoint connection associated with the workspace.

put

Update the state of specified private endpoint connection associated with the workspace.

begin_delete

Deletes the specified private endpoint connection associated with the workspace.

begin_delete(resource_group_name: str, workspace_name: str, private_endpoint_connection_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.

private_endpoint_connection_name
str
Required

The name of the private endpoint connection associated with the 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

Exceptions

get

Gets the specified private endpoint connection associated with the workspace.

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

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.

private_endpoint_connection_name
str
Required

The name of the private endpoint connection associated with the workspace.

cls
callable

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

Returns

PrivateEndpointConnection, or the result of cls(response)

Return type

Exceptions

put

Update the state of specified private endpoint connection associated with the workspace.

put(resource_group_name: str, workspace_name: str, private_endpoint_connection_name: str, properties: _models.PrivateEndpointConnection, **kwargs: Any) -> _models.PrivateEndpointConnection

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.

private_endpoint_connection_name
str
Required

The name of the private endpoint connection associated with the workspace.

properties
PrivateEndpointConnection
Required

The private endpoint connection properties.

cls
callable

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

Returns

PrivateEndpointConnection, or the result of cls(response)

Return type

Exceptions

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'>