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.

bound()

Return the vector of bounds.

Returns:

A vector of bounds on group-level losses

Return type:

pandas.Series

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=None)

Return the signed weights.

property total_samples

Return the number of samples in the data.