Moment for constraining the worst-case loss by a group.
For more information refer to the user guide.
-
bound()[source]
Return the vector of bounds.
- Return type:
Series
- Returns:
- pandas.Series
A vector of bounds on group-level losses
-
default_objective()[source]
Return a default objective.
- Return type:
MeanLoss
-
gamma(predictor)[source]
Calculate the degree to which constraints are currently violated by the predictor.
- Return type:
Series
-
load_data(X, y, *, sensitive_features)[source]
Load data into the moment object.
- Return type:
None
-
project_lambda(lambda_vec)[source]
Return the lambda values.
- Return type:
Series
-
signed_weights(lambda_vec=None)[source]
Return the signed weights.
- Return type:
Series
-
property index: Index
Return the index listing the constraints.
-
property total_samples: int
Return the number of samples in the data.
