langtest.transform.sensitivity.BaseSensitivity#

class BaseSensitivity#

Bases: ABC

Abstract base class for implementing sensitivity measures.

alias_name#

A name or list of names that identify the sensitivity measure.

Type:

str

transform(data

List[Sample]) -> Any: Transforms the input data into an output based on the implemented sensitivity measure.

__init__()#

Methods

__init__()
async_run(sample_list, model, **kwargs)	Creates a task to run the sensitivity measure.
run(sample_list, model, **kwargs)	Abstract method that implements the sensitivity measure.
transform(sample_list)	Abstract method that implements the sensitivity measure.

Attributes

alias_name
supported_tasks
test_types

async classmethod async_run(sample_list: List[Sample], model: ModelAPI, **kwargs)#

Creates a task to run the sensitivity measure.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the sensitivity measure.

Returns:

The task that runs the sensitivity measure.

Return type:

asyncio.Task

abstract async static run(sample_list: List[Sample], model: ModelAPI, **kwargs) → List[Sample]#

Abstract method that implements the sensitivity measure.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the sensitivity measure.

Returns:

The transformed data based on the implemented sensitivity measure.

Return type:

List[Sample]

abstract static transform(sample_list: List[Sample]) → List[Sample]#

Abstract method that implements the sensitivity measure.

Parameters:

sample_list (List[Sample]) – The input data to be transformed.

Returns:

The transformed data based on the implemented sensitivity measure.

Return type:

Any