I want to check if my data is linearly separable or not.For that I am using the equations mentioned at this link. Below is the code that I am using:
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')
And here is the output that I am getting:
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
I am adding 0 to specify that there is no objective function as mentioned in the link. Also since there are about 12000 rows in A variable, hence I am trying to create constraints dynamically.But there seems to be some problem in that.So, what is it that I am doing wrong?
needs to be
as the LpVariable.dicts fn looks like this