arange(50).reshape(10, 5) * 1.0 X = pd.DataFrame(X_raw, columns=['0', '1', '2', '3', '4']) X.iat[3,0] = np.nan imputer = ReMasker() imputed = imputer.fit_transform(X) print(imputed[3,0])CitationIf you use the code, please cite our paper:...