058c79c9653af78184deb94aa3853f8a37eec32a,pyinterpret/core/global_interpretation/partial_dependence.py,PartialDependence,partial_dependence,#PartialDependence#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,10

Before Change

            means[row_id] = mean_prediction
            sds[row_id] = std_prediction

        pdp = {
            "features": feature_ids,
            "means": means,
            "sds": sds,
            "vals": grid_expanded
        }
        return pdp

    def partial_dependency_sklearn(self):
        pass

After Change

                pdp[feature_id] = new_row[feature_idx]

            if predict_fn.n_classes:
                for i in range(predict_fn.n_classes):
                    pdp["mean_{}".format(i)] = mean_prediction[i]
                    pdp["sd_{}".format(i)] = std_prediction[i]
            else:
                pdp["mean"] = mean_prediction
                pdp["sd"] = std_prediction
            pdps.append(pdp)

Instances