ExperimentsOperations Class

ExperimentsOperations 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
ExperimentsOperations

Constructor

ExperimentsOperations(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

Creates an Experiment.

begin_delete

Deletes an Experiment.

get

Gets information about an Experiment.

list_by_workspace

Gets a list of Experiments within the specified Workspace.

begin_create

Creates an Experiment.

begin_create(resource_group_name: str, workspace_name: str, experiment_name: str, **kwargs: Any) -> LROPoller[_models.Experiment]

Parameters

resource_group_name
str
Required

Name of the resource group to which the resource belongs.

workspace_name
str
Required

The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

experiment_name
str
Required

The name of the experiment. Experiment names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

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 Experiment or the result of cls(response)

Return type

LROPoller[<xref:batch_ai.models.Experiment>]

Exceptions

begin_delete

Deletes an Experiment.

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

Parameters

resource_group_name
str
Required

Name of the resource group to which the resource belongs.

workspace_name
str
Required

The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

experiment_name
str
Required

The name of the experiment. Experiment names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

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

Exceptions

get

Gets information about an Experiment.

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

Parameters

resource_group_name
str
Required

Name of the resource group to which the resource belongs.

workspace_name
str
Required

The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

experiment_name
str
Required

The name of the experiment. Experiment names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

cls
callable

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

Returns

Experiment, or the result of cls(response)

Return type

<xref:batch_ai.models.Experiment>

Exceptions

list_by_workspace

Gets a list of Experiments within the specified Workspace.

list_by_workspace(resource_group_name: str, workspace_name: str, experiments_list_by_workspace_options: Optional[_models.ExperimentsListByWorkspaceOptions] = None, **kwargs: Any) -> Iterable[_models.ExperimentListResult]

Parameters

resource_group_name
str
Required

Name of the resource group to which the resource belongs.

workspace_name
str
Required

The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long.

experiments_list_by_workspace_options
<xref:batch_ai.models.ExperimentsListByWorkspaceOptions>
default value: None

Parameter group.

cls
callable

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

Returns

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

Return type

ItemPaged[<xref:batch_ai.models.ExperimentListResult>]

Exceptions

Attributes

models

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