langtest.transform.accuracy.MinWeightedF1Score#

class MinWeightedF1Score#

Bases: BaseAccuracy

Subclass of BaseAccuracy that implements the minimum weighted f1 score.

alias_name#

The name for config.

Type:

str

transform(y_true, params) → Any#

Creates accuracy test results.

__init__()#

Methods

__init__()
async_run(sample_list, y_true, y_pred, **kwargs)	Creates a task to run the accuracy measure.
run(y_true, y_pred, **kwargs)	Computes the minimum F1 score for the given data.
transform(test, y_true, params)	Computes the minimum weighted F1 score for the given data.

Attributes

alias_name
supported_tasks
test_types

async classmethod async_run(sample_list: List[MinScoreSample], y_true: List[Any], y_pred: List[Any], **kwargs)#

Creates a task to run the accuracy measure.

Parameters:

• sample_list (List[MinScoreSample]) – List of samples to be transformed.

• y_true (List[Any]) – True values

• y_pred (List[Any]) – Predicted values

async run(y_true: List[Any], y_pred: List[Any], **kwargs)#

Computes the minimum F1 score for the given data.

Parameters:

• sample_list (List[MinScoreSample]) – List of samples to be transformed.

• y_true (List[Any]) – True values

• y_pred (List[Any]) – Predicted values

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

Computes the minimum weighted F1 score for the given data.

Parameters:

• y_true (List[Any]) – True values

• params (Dict) – parameters for tests configuration

Returns:

The transformed data based on the minimum F1 score.

Return type:

List[MinScoreSample]