fairlearn.reductions.BoundedGroupLoss

class fairlearn.reductions.BoundedGroupLoss(loss, *, upper_bound=None)

Moment for constraining the worst-case loss by a group.

For more information refer to the user guide.

Attributes

total_samples

Return the number of samples in the data.

Methods

bound()	Return the vector of bounds.
default_objective()	Return a default objective.
gamma(predictor)	Calculate the degree to which constraints are currently violated by the predictor.
load_data(X, y, *, sensitive_features)	Load data into the moment object.
project_lambda(lambda_vec)	Return the lambda values.
signed_weights([lambda_vec])	Return the signed weights.