本文介绍了使用python进行多项式回归的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
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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