langtest.transform.fairness.MinGenderRougeScore#

class MinGenderRougeScore#

Bases: BaseFairness

Subclass of BaseFairness that implements the minimum Rouge score.

alias_name#

Alias names for the evaluation method.

Type:

List[str]

supported_tasks#

Supported tasks for this evaluation method.

Type:

List[str]

transform(test

str, data: List[Sample], params: Dict) -> List[MinScoreSample]: Transforms the input data into an output based on the minimum Rouge score.

run(sample_list

List[MinScoreSample], grouped_label, **kwargs) -> List[MinScoreSample]: Computes the minimum Rouge score for the given data.

__init__()#

Methods

__init__()

async_run(sample_list, model, **kwargs)

Creates a task for the run method.

run(sample_list, grouped_label, **kwargs)

Computes the minimum Rouge score for the given data.

transform(test, data, params)

Transforms the data for evaluation based on the minimum Rouge score.

Attributes

alias_name

supported_tasks

test_types

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

Creates a task for the run method.

Parameters:

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

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

Returns:

The task for the run method.

Return type:

asyncio.Task

async static run(sample_list: List[MinScoreSample], grouped_label, **kwargs) → List[MinScoreSample]#

Computes the minimum Rouge score for the given data.

Parameters:

  • sample_list (List[MinScoreSample]) – The input data samples.

  • grouped_label – A dictionary containing grouped labels where each key corresponds to a test case and the value is a tuple containing true labels and predicted labels.

  • **kwargs – Additional keyword arguments.

Returns:

The evaluated data samples.

Return type:

List[MinScoreSample]

classmethod transform(test: str, data: List[Sample], params: Dict) → List[MinScoreSample]#

Transforms the data for evaluation based on the minimum Rouge score.

Parameters:

  • test (str) – The test alias name.

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

  • params (Dict) – Parameters for tests configuration.

Returns:

The transformed data samples based on the minimum Rouge score.

Return type:

List[MinScoreSample]