langtest.transform.bias.BiasTestFactory#

class BiasTestFactory(data_handler: List[Sample], tests: Dict | None = None, **kwargs)#

Bases: ITests

A class for performing bias tests on a given dataset.

__init__(data_handler: List[Sample], tests: Dict | None = None, **kwargs) → None#

Methods

__init__(data_handler[, tests])
available_tests()	Get a dictionary of all available tests, with their names as keys and their corresponding classes as values.
run(sample_list, model, **kwargs)	Runs the specified tests on the given data and returns a list of results.
transform()	Runs the bias test and returns the resulting Sample objects.

Attributes

alias_name
supported_tasks

static available_tests() → Dict[str, type['BaseBias']]#

Get a dictionary of all available tests, with their names as keys and their corresponding classes as values.

Returns:

A dictionary of test names and classes.

Return type:

Dict

classmethod run(sample_list: Dict[str, List[Sample]], model: ModelAPI, **kwargs) → List[Sample]#

Runs the specified tests on the given data and returns a list of results.

Parameters:

• sample_list (Dict[str, List[Sample]]) – A dictionary mapping test scenario names to a list of Sample objects.

• model (ModelAPI) – A ModelAPI object representing the model to be tested.

Returns:

A list of Sample objects with the test results.

Return type:

List[Sample]

transform() → List[Sample]#

Runs the bias test and returns the resulting Sample objects.

Returns:

List[Sample]

A list of Sample objects representing the resulting dataset after running the bias test.