240d23ec41ee51c72a69fda93148cb534a6688ec,aif360/algorithms/inprocessing/meta_fair_classifier.py,MetaFairClassifier,predict,#MetaFairClassifier#,64

Before Change

            BinaryLabelDataset: Transformed dataset.
        
        predictions, scores = [], []
        for x in dataset.features:
            t = self.model(x)
            predictions.append(int(t > 0))
            scores.append((t+1)/2)

        pred_dataset = dataset.copy()
        pred_dataset.labels = np.array([predictions]).T
        pred_dataset.scores = np.array([scores]).T

        return pred_dataset

After Change

        t = self.model(dataset.features)

        pred_dataset = dataset.copy()
        pred_dataset.labels = (t > 0).astype(int).reshape((-1, 1))
        pred_dataset.scores = ((t + 1) / 2).reshape((-1, 1))

        return pred_dataset

Instances