如何动态指定纸浆中的约束？

Question

我想检查我的数据是否线性可分，或者 not.For 我使用的是 link 中提到的方程式。下面是我正在使用的代码：

try:
        import os
        #import random
        import traceback
        import datetime
        #import numpy as np
        import scipy.io as sio
        import pulp
        os.system('cls')
        dicA  = sio.loadmat('A1.mat')
        A = dicA.get('A1')        
        var = pulp.LpVariable.dicts("var",range(11),pulp.LpContinuous)
        A = A[:,0:10]
        model = pulp.LpProblem("Data linearly seaparable", pulp.LpMinimize)
        model+= 0
        print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
        for i in range(len(A)):
            expr = pulp.LpAffineExpression()
            for j in range(len(A[i])):
                expr += var[j]*A[i][j]
            expr+= var[10] <= -1
            model+= expr
        print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
        model.solve()
        print(pulp.LpStatus[model.status])
        print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
except:
        print('exception')
        tb = traceback.format_exc()
        print(tb)
finally:
        print('reached finally')

这是我得到的输出：

C:\Users\puneet\Anaconda3\lib\site-packages\pulp\pulp.py:1348: UserWarning: Overwriting previously set objective.
  warnings.warn("Overwriting previously set objective.")
2017-08-29 10:06:21
exception
Traceback (most recent call last):
  File "C:/Hackerearth Challenge/Machine Learning #3/LInearlySeaparblePulp.py", line 31, in <module>
    model.solve()
  File "C:\Users\puneet\Anaconda3\lib\site-packages\pulp\pulp.py", line 1664, in solve
    status = solver.actualSolve(self, **kwargs)

  File "C:\Users\puneet\Anaconda3\lib\site-packages\pulp\solvers.py", line 1362, in actualSolve
    return self.solve_CBC(lp, **kwargs)
  File "C:\Users\puneet\Anaconda3\lib\site-packages\pulp\solvers.py", line 1384, in solve_CBC
    tmpMps, rename = 1)
  File "C:\Users\puneet\Anaconda3\lib\site-packages\pulp\pulp.py", line 1484, in writeMPS
    f.write(" LO BND       %-8s  % .12e\n" % (n, v.lowBound))
TypeError: must be real number, not str

reached finally

我添加 0 以指定没有 link 中提到的 objective 函数。此外，由于 A 变量中大约有 12000 行，因此我正在尝试创建约束 dynamically.But that.So 中似乎存在一些问题，我做错了什么？

Answer 1

    var = pulp.LpVariable.dicts("var",range(11),pulp.LpContinuous)

需要

    var = pulp.LpVariable.dicts("var",range(11),cat=pulp.LpContinuous)

因为 LpVariable.dicts fn 看起来像这样

def dicts(self, name, indexs, lowBound = None, upBound = None, cat = LpContinuous, indexStart = []):

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