scipy.odr.quadratic#
- scipy.odr.quadratic = <scipy.odr._models._QuadraticModel object>[source]#
Quadratic model
This model is defined by \(y = \beta_0 x^2 + \beta_1 x + \beta_2\)
Examples
We can calculate orthogonal distance regression with a quadratic model:
>>> from scipy import odr >>> import numpy as np >>> x = np.linspace(0.0, 5.0) >>> y = 1.0 * x ** 2 + 2.0 * x + 3.0 >>> data = odr.Data(x, y) >>> odr_obj = odr.ODR(data, odr.quadratic) >>> output = odr_obj.run() >>> print(output.beta) [1. 2. 3.]