azure.mgmt.machinelearningcompute.operations module¶

class azure.mgmt.machinelearningcompute.operations.MachineLearningComputeOperations(*args, **kwargs)[source]¶

Bases: object

Warning

DO NOT instantiate this class directly.

Instead, you should access the following operations through MachineLearningComputeManagementClient’s machine_learning_compute attribute.

list_available_operations(**kwargs: Any) → azure.mgmt.machinelearningcompute.models._models_py3.AvailableOperations[source]¶

Gets all available operations.

Keyword Arguments: cls (callable) – A custom type or function that will be passed the direct response
Returns: AvailableOperations or the result of cls(response)
Return type: AvailableOperations
Raises: HttpResponseError –

models = <module 'azure.mgmt.machinelearningcompute.models' from '/mnt/vss/_work/1/s/sdk/machinelearning/azure-mgmt-machinelearningcompute/.tox/sphinx/lib/python3.9/site-packages/azure/mgmt/machinelearningcompute/models/__init__.py'>¶

class azure.mgmt.machinelearningcompute.operations.OperationalizationClustersOperations(*args, **kwargs)[source]¶

Bases: object

Warning

DO NOT instantiate this class directly.

Instead, you should access the following operations through MachineLearningComputeManagementClient’s operationalization_clusters attribute.

begin_create_or_update(resource_group_name: str, cluster_name: str, parameters: _models.OperationalizationCluster, *, content_type: str = "'application/json'", **kwargs: Any) → LROPoller[_models.OperationalizationCluster][source]¶

begin_create_or_update(resource_group_name: str, cluster_name: str, parameters: IO, *, content_type: str = "'application/json'", **kwargs: Any) → LROPoller[_models.OperationalizationCluster]

Create or update an operationalization cluster.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.
parameters (OperationalizationCluster or IO) – Parameters supplied to create or update an Operationalization cluster. Is either a model type or a IO type. Required.

Keyword Arguments

content_type (str) – Body Parameter content-type. Known values are: ‘application/json’. Default value is None.
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) – By default, your polling method will be ARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a 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 OperationalizationCluster or the result of cls(response)

Return type

LROPoller[OperationalizationCluster]

Raises

HttpResponseError –

begin_delete(resource_group_name: str, cluster_name: str, delete_all: Optional[bool] = None, **kwargs: Any) → azure.core.polling._poller.LROPoller[None][source]¶

Deletes the specified cluster.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.
delete_all (bool) – If true, deletes all resources associated with this cluster. Default value is None.

Keyword Arguments

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) – By default, your polling method will be ARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a 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]

Raises

HttpResponseError –

begin_update_system_services(resource_group_name: str, cluster_name: str, **kwargs: Any) → azure.core.polling._poller.LROPoller[azure.mgmt.machinelearningcompute.models._models_py3.UpdateSystemServicesResponse][source]¶

Updates system services in a cluster.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.

Keyword Arguments

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) – By default, your polling method will be ARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a 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 UpdateSystemServicesResponse or the result of cls(response)

Return type

LROPoller[UpdateSystemServicesResponse]

Raises

HttpResponseError –

check_system_services_updates_available(resource_group_name: str, cluster_name: str, **kwargs: Any) → azure.mgmt.machinelearningcompute.models._models_py3.CheckSystemServicesUpdatesAvailableResponse[source]¶

Checks if updates are available for system services in the cluster.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.

Keyword Arguments

cls (callable) – A custom type or function that will be passed the direct response

Returns

CheckSystemServicesUpdatesAvailableResponse or the result of cls(response)

Return type

CheckSystemServicesUpdatesAvailableResponse

Raises

HttpResponseError –

get(resource_group_name: str, cluster_name: str, **kwargs: Any) → azure.mgmt.machinelearningcompute.models._models_py3.OperationalizationCluster[source]¶

Gets the operationalization cluster resource view. Note that the credentials are not returned by this call. Call ListKeys to get them.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.

Keyword Arguments

cls (callable) – A custom type or function that will be passed the direct response

Returns

OperationalizationCluster or the result of cls(response)

Return type

OperationalizationCluster

Raises

HttpResponseError –

list_by_resource_group(resource_group_name: str, skiptoken: Optional[str] = None, **kwargs: Any) → Iterable[azure.mgmt.machinelearningcompute.models._models_py3.OperationalizationCluster][source]¶

Gets the clusters in the specified resource group.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
skiptoken (str) – Continuation token for pagination. Default value is None.

Keyword Arguments

cls (callable) – A custom type or function that will be passed the direct response

Returns

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

Return type

ItemPaged[OperationalizationCluster]

Raises

HttpResponseError –

list_by_subscription_id(skiptoken: Optional[str] = None, **kwargs: Any) → Iterable[azure.mgmt.machinelearningcompute.models._models_py3.OperationalizationCluster][source]¶

Gets the operationalization clusters in the specified subscription.

Parameters: skiptoken (str) – Continuation token for pagination. Default value is None.
Keyword Arguments: cls (callable) – A custom type or function that will be passed the direct response
Returns: An iterator like instance of either OperationalizationCluster or the result of cls(response)
Return type: ItemPaged[OperationalizationCluster]
Raises: HttpResponseError –

list_keys(resource_group_name: str, cluster_name: str, **kwargs: Any) → azure.mgmt.machinelearningcompute.models._models_py3.OperationalizationClusterCredentials[source]¶

Gets the credentials for the specified cluster such as Storage, ACR and ACS credentials. This is a long running operation because it fetches keys from dependencies.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.

Keyword Arguments

cls (callable) – A custom type or function that will be passed the direct response

Returns

OperationalizationClusterCredentials or the result of cls(response)

Return type

OperationalizationClusterCredentials

Raises

HttpResponseError –

update(resource_group_name: str, cluster_name: str, parameters: _models.OperationalizationClusterUpdateParameters, *, content_type: str = "'application/json'", **kwargs: Any) → _models.OperationalizationCluster[source]¶

update(resource_group_name: str, cluster_name: str, parameters: IO, *, content_type: str = "'application/json'", **kwargs: Any) → _models.OperationalizationCluster

The PATCH operation can be used to update only the tags for a cluster. Use PUT operation to update other properties.

Parameters

resource_group_name (str) – Name of the resource group in which the cluster is located. Required.
cluster_name (str) – The name of the cluster. Required.
parameters (OperationalizationClusterUpdateParameters or IO) – The parameters supplied to patch the cluster. Is either a model type or a IO type. Required.

Keyword Arguments

content_type (str) – Body Parameter content-type. Known values are: ‘application/json’. Default value is None.
cls (callable) – A custom type or function that will be passed the direct response

Returns

OperationalizationCluster or the result of cls(response)

Return type

OperationalizationCluster

Raises

HttpResponseError –

models = <module 'azure.mgmt.machinelearningcompute.models' from '/mnt/vss/_work/1/s/sdk/machinelearning/azure-mgmt-machinelearningcompute/.tox/sphinx/lib/python3.9/site-packages/azure/mgmt/machinelearningcompute/models/__init__.py'>¶