fairlearn.reductions.LossMoment#

class fairlearn.reductions.LossMoment(loss)[source]#

Moment that can be expressed as weighted loss.

bound()[source]#: Return vector of fairness bound constraint the length of gamma.

gamma(predictor)[source]#: Calculate the degree to which constraints are currently violated by the predictor.

load_data(X, y, *, sensitive_features=None)[source]#

Load a set of data for use by this object.

Parameters:

Xarray: The feature array
ypandas.Series: The label vector
sensitive_featurespandas.Series: The sensitive feature vector (default None)

project_lambda(lambda_vec)[source]#: Return the projected lambda values.

signed_weights(lambda_vec)[source]#: Return the signed weights.

property total_samples#: Return the number of samples in the data.