Python mean_squared_error Examples

Example #1

File: test.py Project: jacekbla/spyder1

 def test_mean_squared_error(self):
     x = TEST_DATA['mean_error']['x']
     y = TEST_DATA['mean_error']['y']
     w = TEST_DATA['mean_error']['w']
     err = TEST_DATA['mean_error']['err']
     err_computed = mean_squared_error(x, y, w)
     self.assertAlmostEqual(err, err_computed, 8)

Example #2

    def test_mean_squared_error(self):
        x = TEST_DATA['mean_error']['x']
        y = TEST_DATA['mean_error']['y']
        w = TEST_DATA['mean_error']['w']
        err_expected = TEST_DATA['mean_error']['err']
        err = mean_squared_error(x, y, w)

        self.assertEqual(np.size(err), 1)
        self.assertEqual(np.array(err).shape, ())  # err must be a single number
        self.assertAlmostEqual(err, err_expected)

Example #3

File: test.py Project: ZbigniewTomanek/image-recognicion-in-numpy

    def test_mean_squared_error(self):
        x = TEST_DATA['mean_error']['x']
        y = TEST_DATA['mean_error']['y']
        w = TEST_DATA['mean_error']['w']
        err_expected = TEST_DATA['mean_error']['err']

        err = mean_squared_error(x, y, w)

        self.assertEqual(np.size(err), 1)
        self.assertAlmostEqual(err, err_expected)