240d23ec41ee51c72a69fda93148cb534a6688ec,aif360/algorithms/inprocessing/meta_fair_classifier.py,MetaFairClassifier,fit,#MetaFairClassifier#,41

Before Change

        sens_index = dataset.feature_names.index(self.sensitive_attr)

        x_train = dataset.features
        y_train = np.array([1 if y == [dataset.favorable_label] else
                           -1 for y in dataset.labels])
        x_control_train = x_train[:, sens_index].copy()

After Change

        x_train = dataset.features
        y_train = np.where(dataset.labels.flatten() == dataset.favorable_label,
                           1, -1)
        x_control_train = np.where(
                np.isin(dataset.protected_attributes[:, sens_idx],
                        dataset.privileged_protected_attributes[sens_idx]),
                1, 0)

        self.model = self.obj.getModel(self.tau, x_train, y_train,
            x_control_train, self.seed)

Instances