类方法作为scipy.optimize.curve_fit的模型函数 [英] class method as a model function for scipy.optimize.curve_fit

问题描述

手册 curve_fit 中有一条声明

模型函数f（x，...）它必须将自变量作为第一个参数，并将参数作为单独的其余参数容纳。

The model function, f(x, ...). It must take the independent variable as the first argument and the parameters to fit as separate remaining arguments.

但是，我想使用作为模型函数，该类的方法定义为：

However, I would like to use as a model function a method of the class which is defined as:

def model_fun(self,x,par):

因此，如您所见，第一个参数不是自变量。有什么方法可以将类的方法用作curve_fit的模型函数

So, the first argument is not an independent variable, as you can see. Is there any way how I can use the method of a class as a model function for curve_fit

推荐答案

当然，请创建实例并通过其 bound 方法：

Sure, create an instance and pass its bound method:

class MyClass(object):
   ...
   def model_fun(self,x,par): ...

obj = MyClass(...)
curve_fit(obj.model_fun, ...)

您可以找到有关绑定/未绑定/等的很好解释。在此问题中。

You can find a good explanation about bound/unbound/etc. in this question.

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