[:self.query_limit]]]]).fillna(&#39;&#39;)
            X= df_test.values.astype(str)

            pred = np.array([funcw(s,
                         self.veritas_model[&#39;model&#39;],
                         self.veritas_model[&#39;model_neg&#39;]) for s in X])

            # Calculating metrics and determining the upper threshold
            fpr, tpr, thresholds = metrics.roc_curve(labels, pred, pos_label=1)
            rf = pd.DataFrame(tpr, fpr, columns=[&#39;tpr&#39;]).assign(threshold=thresholds)
  