Python MathsUtil.estimate_slope Examples

Example #1

 def run_linear_regression(self, x_axis, y_axis):
     self.x_axis = self.headers[x_axis]
     self.y_axis = self.headers[y_axis]
     self.slope = MathsUtil.estimate_slope(self.data[self.x_axis], self.data[self.y_axis])
     self.y_intercept = MathsUtil.estimate_y_intercept(self.data[self.x_axis], self.data[self.y_axis], self.slope)
     self.predicted_y = MathsUtil.num_plus_arr(self.y_intercept, MathsUtil.num_by_arr(self.slope, self.data[self.x_axis]))

Example #2

File: test_maths_utils.py Project: DanielsHappyWorks/ASL-CA1-Data-Science-from-Scratch

 def test_estimate_slope(self):
     self.assertEqual(MathsUtil.estimate_slope([1, 2, 3], [1, 2, 3]), 1)