为什么我会得到“ValueError：使用序列设置数组元素。”当使用Scipy.optimization的蛮功能？

使用模型来预测给定一组参数的电生理数据。该脚本试图找到那些给出最接近实验数据的预测参数的值。我运行Python 2.7，Scipy 0.17.0和Numpy 1.10.4。脚本附在下面。发生错误的行是epsc_sims[n,1] = r_prob*poolsize。为什么我会得到“ValueError：使用序列设置数组元素。”当使用Scipy.optimization的蛮功能？

下面是脚本：

import scipy.optimize as optimize 
import numpy as np 
import math 

def min_params(*params): 
    std_err = 0 
    epsc_exp = np.loadtxt('sample.txt') 
    max_pool = params[0] 
    r_prob = params[1] 
    tau_recov = params[2] 
    poolsize = epsc_exp[0,1]/r_prob 
    epsc_sims = np.copy(epsc_exp) 
    count = epsc_exp.size 

    for n in xrange(1 , count/2): 
     poolsize = poolsize - epsc_sims[n-1, 1] 
     poolsize = max_pool + (poolsize - max_pool) * math.exp((epsc_sims[n-1, 0] - epsc_sims[n,0])/tau_recov) 
     epsc_sims[n,1] = r_prob*poolsize 
     std_err += (epsc_exp[n,1] - epsc_sims[n,1])**2 

    std_err /= count 
    return std_err 

params = (1e-8, 0.2, 0.5) 
rranges = (slice(5e-9,5e-8,1e-9), slice(0.1, 0.3, 0.01), slice(0.3, 0.4, 0.01)) 
y = optimize.brute(min_params, rranges, args = params) 
print y

这里是回溯（最近通话最后一个）：

Traceback (most recent call last): 

    File "<ipython-input-25-21d343f36a44>", line 1, in <module> 
    runfile('C:/Users/brennan/Google Drive/Python Scripts/Inhibitory Model/brute.py', wdir='C:/Users/brennan/Google Drive/Python Scripts/Inhibitory Model') 

    File "D:\Python\Anaconda2\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 699, in runfile 
    execfile(filename, namespace) 

    File "D:\Python\Anaconda2\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 74, in execfile 
    exec(compile(scripttext, filename, 'exec'), glob, loc) 

    File "C:/Users/brennan/Google Drive/Python Scripts/Inhibitory Model/brute.py", line 33, in <module> 
    y = optimize.brute(min_params, rranges, args = params) 

    File "D:\Python\Anaconda2\lib\site-packages\scipy\optimize\optimize.py", line 2604, in brute 
    Jout = vecfunc(*grid) 

    File "D:\Python\Anaconda2\lib\site-packages\numpy\lib\function_base.py", line 1811, in __call__ 
    return self._vectorize_call(func=func, args=vargs) 

    File "D:\Python\Anaconda2\lib\site-packages\numpy\lib\function_base.py", line 1874, in _vectorize_call 
    ufunc, otypes = self._get_ufunc_and_otypes(func=func, args=args) 

    File "D:\Python\Anaconda2\lib\site-packages\numpy\lib\function_base.py", line 1836, in _get_ufunc_and_otypes 
    outputs = func(*inputs) 

    File "D:\Python\Anaconda2\lib\site-packages\scipy\optimize\optimize.py", line 2598, in _scalarfunc 
    return func(params, *args) 

    File "C:/Users/brennan/Google Drive/Python Scripts/Inhibitory Model/brute.py", line 25, in min_params 
    epsc_sims[n,1] = r_prob*poolsize 

ValueError: setting an array element with a sequence.

我用spikes = np.loadtxt('sample.txt')文本文件的格式与〜3000线如下：

0.01108 1.223896e-08 
0.03124 6.909375e-09 
0.074 6.2475e-09 
0.07718 3.895625e-09

这是我在这里的第一篇文章，所以请让我知道，如果我需要吨o改变任何东西或提供更多信息！

来源

2016-08-03 brennan mulligan

scipy.optimize例程调用带有要优化的参数向量的函数。因此，您的函数被称为min_params(x, *params)，其中*params是您为使用关键字参数args提供给函数的函数的自定义参数。您定义函数x的方式将作为函数内部的第一个元素params而结束。

假设max_pool，r_prob，tau_recov你想在这里过优化是什么如何解决的事情：

def min_params(params): 
    ... 
y = optimize.brute(min_params, rranges)

来源

2016-08-04 09:55:42 Andi

为什么我会得到“ValueError：使用序列设置数组元素。”当使用Scipy.optimization的蛮功能？

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