def setUp(self): self.test_data = pd.read_excel("test_line_regression.xlsx") self.target = LinearRegression(self.test_data, 3, 2)
class TestLinearRegression(TestCase): def setUp(self): self.test_data = pd.read_excel("test_line_regression.xlsx") self.target = LinearRegression(self.test_data, 3, 2) def test_calculate_correlation_coefficient(self): self.assertEqual(0.93062731871456372, self.target.calculate_correlation_coefficient()) def test_is_linear_regression(self): self.assertTrue(self.target.is_linear_regression()) def test_beta_value(self): self.assertEqual(5.1308547938580595, self.target.calculate_Beta1()) self.assertEqual(274.55023576351073, self.target.calculate_Beta0()) def test_plot(self): # self.target.plot() # self.target.plot_e() self.target.plot_z() pass def test_fit(self): self.assertEqual(17598834.799999997, self.target.calculate_sst()) self.assertEqual(15241773.690037491, self.target.calculate_ssr()) self.assertEqual(2357061.1099625197, self.target.calculate_sse()) self.assertEqual(0.86606720633785894, self.target.calculate_r_square()) self.assertEqual(361.86715717561634, self.target.calculate_std_e()) self.assertEqual(116.3957630377421,self.target.calculate_f_value()) self.assertEqual(True, self.target.do_f_verification()) pass def test_interval(self): self.assertEqual(FloatInterval.closed(4.1317,6.13001), self.target.calculate_beta_1_interval()) self.assertEqual(FloatInterval.closed(-4.9130, 554.01347), self.target.calculate_beta_0_interval()) self.assertEqual(FloatInterval.closed(260.13241, 750.745), self.target.calculate_confidence_interval(45)) self.assertEqual(FloatInterval.closed(-293.41195,1304.28935), self.target.calculate_prediction_interval(45)) def test_e_normalize(self): self.assertTrue(self.target.e_is_normalize())