def METHOD_NAME():
    solubility_dataset = load_solubility_data()
    minmax_transformer = dc.trans.MinMaxTransformer(transform_X=True,
                                                    dataset=solubility_dataset)
    X, y, w, ids = (solubility_dataset.X, solubility_dataset.y,
                    solubility_dataset.w, solubility_dataset.ids)
    solubility_dataset = minmax_transformer.transform(solubility_dataset)
    X_t, y_t, w_t, ids_t = (solubility_dataset.X, solubility_dataset.y,
                            solubility_dataset.w, solubility_dataset.ids)
    # Check ids are unchanged before and after transformation
    for id_elt, id_t_elt in zip(ids, ids_t):
        assert id_elt == id_t_elt
    # Check X is unchanged since transform_y is true
    np.testing.assert_allclose(y, y_t)
    # Check w is unchanged since transform_y is true
    np.testing.assert_allclose(w, w_t)
    # Check minimum and maximum values of transformed y are 0 and 1
    np.testing.assert_allclose(X_t.min(), 0.)
    np.testing.assert_allclose(X_t.max(), 1.)
    # Check untransform works correctly
    np.testing.assert_allclose(minmax_transformer.untransform(X_t), X)