langtest.transform.robustness.RandomAge#

class RandomAge#

Bases: BaseRobustness

A class for adding abbreviations to the input text.

__init__()#

Methods

__init__()

async_run(sample_list, model, **kwargs)

Creates a task to run the robustness measure.

run(sample_list, model, **kwargs)

Abstract method that implements the robustness measure.

transform(sample_list[, prob, ...])

Transforms the given sample list by randomizing the ages by a certain amount.

Attributes

alias_name

supported_tasks

test_types

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

Creates a task to run the robustness 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 robustness measure.

Returns:

The task that runs the robustness measure.

Return type:

asyncio.Task

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

Abstract method that implements the robustness 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 robustness measure.

Returns:

The transformed data based on the implemented robustness measure.

Return type:

List[Sample]

static transform(sample_list: List[Sample], prob: float | None = 1.0, random_amount: int = 5, count: int = 1) → List[Sample]#

Transforms the given sample list by randomizing the ages by a certain amount.

Parameters:

  • sample_list (List[Sample]) – The list of samples to transform.

  • prob (Optional[float]) – The probability controlling the proportion of words to be perturbed. Defaults to 1.0, which means all samples will be transformed.

  • random_amount (Optional[int]) – The range to randomize the ages. +-random_amount is added to ages. Default is 5.

  • count (Optional[int]) – Number of variations to create from one sample.

Returns:

The transformed list of samples with abbreviations added

Return type:

List[Sample]