使用python进行多项式回归 [英] polynomial regression using python

问题描述

据我了解，多项式回归是一种特定类型的回归分析，它比线性回归更为复杂. 是否有可以执行此操作的python模块? 我查看了matplotlib，scikitand numpy，但只能找到线性回归分析.

From what i understand polynomial regression is a specific type of regression analysis, which is more complicated than linear regression. Is there a python module which can do this? I have looked in matplotlib ,scikitand numpy but can only find linear regression analysis.

有可能算出非线性线的相关系数吗?

And it is possible to work out the correlation coefficient of a none linear line?

推荐答案

您看过NumPy的polyfit吗?参见参考.

Have you had a look at NumPy's polyfit? See reference.

从他们的示例中:

>>> import numpy as np
>>> x = np.array([0.0, 1.0, 2.0, 3.0,  4.0,  5.0])
>>> y = np.array([0.0, 0.8, 0.9, 0.1, -0.8, -1.0])
>>> z = np.polyfit(x, y, 3)
>>> z
[ 0.08703704 -0.81349206  1.69312169 -0.03968254]

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