Exemplo n.º 1
0
def test_ls_fit_b():
    log_prop_t = test_log_prop_vals()
    b_matrix_t = np.matrix([[1,2], [1,1]]).T
    b_inv = ols_matrix(b_matrix_t)
    ls_fit_FA_t = np.dot(b_inv, np.matrix(log_prop_t))
    
    npt.assert_equal(ls_fit_FA_t, mf.ls_fit_b(log_prop_t, unique_b_t))
    
    return ls_fit_FA_t
Exemplo n.º 2
0
def test_ls_fit_b():
    log_prop_t = test_log_prop_vals()
    b_matrix_t = np.matrix([[1,2], [1,1]]).T
    b_inv = ols_matrix(b_matrix_t)
    ls_fit_FA_t = np.dot(b_inv, np.matrix(log_prop_t))

    for idx in np.arange(len(ls_fit_FA_t)):
        npt.assert_equal(abs(ls_fit_FA_t[idx]-mf.ls_fit_b(log_prop_t,
                                        unique_b_t)[idx])<0.001, 1)
    
    return ls_fit_FA_t