fairlearn.reductions.LossMoment#

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

Moment that can be expressed as weighted loss.

Attributes:

Methods

`bound`()	Return vector of fairness bound constraint the length of gamma.
`gamma`(predictor)	Calculate the degree to which constraints are currently violated by the predictor.
`load_data`(X, y, *[, sensitive_features])	Load a set of data for use by this object.
`project_lambda`(lambda_vec)	Return the projected lambda values.
`signed_weights`(lambda_vec)	Return the signed weights.

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:

X (array) – The feature array
y (pandas.Series) – The label vector
sensitive_features (pandas.Series) – The sensitive feature vector (default None)