I'm a novice in Python. I just applied an existing Positive-unlabeled learning package online to my data. However, although it ran well before, recently I got such errors for the first time. Does anybody know what might be wrong and how to fix this?
ArithmeticError Traceback (most recent call last)
File D:\anaconda\lib\site-packages\cvxopt\misc.py:1429, in kkt_chol2.<locals>.factor(W, H, Df)
1428 if type(F['S']) is matrix:
-> 1429 lapack.potrf(F['S'])
1430 else:
ArithmeticError: 1090
During handling of the above exception, another exception occurred:
ArithmeticError Traceback (most recent call last)
File D:\anaconda\lib\site-packages\cvxopt\coneprog.py:2065, in coneqp(P, q, G, h, dims, A, b, initvals, kktsolver, xnewcopy, xdot, xaxpy, xscal, ynewcopy, ydot, yaxpy, yscal, **kwargs)
2064 for rti in W['rti']: rti[::rti.size[0]+1 ] = 1.0
-> 2065 try: f = kktsolver(W)
2066 except ArithmeticError:
File D:\anaconda\lib\site-packages\cvxopt\coneprog.py:1981, in coneqp.<locals>.kktsolver(W)
1980 def kktsolver(W):
-> 1981 return factor(W, P)
File D:\anaconda\lib\site-packages\cvxopt\misc.py:1444, in kkt_chol2.<locals>.factor(W, H, Df)
1443 if type(F['S']) is matrix:
-> 1444 lapack.potrf(F['S'])
1445 else:
ArithmeticError: 26
It says that During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
Input In [30], in <cell line: 1>()
----> 1 rolling_window_collection()
Input In [29], in rolling_window_collection()
46 globals()[key.replace('df',method+'_labeling_model')] = globals()[key.replace('df',methods[0]+'_labeling_model')]
47 print('Variable created: '+ key.replace('df',method+'_labeling_model'))
---> 48 train_and_val(method,dataframe_name=key)
50 print(' --------------------- detect training years ---------------------')
52 print('\nDetection results on the whole training dataframe:')
Input In [23], in train_and_val(method, dataframe_name)
71 x_train_ram = x_train
72 s_train_ram = s_train
---> 73 (_, c_est) = wrapper_ramaswamy(x_train_ram, x_train_ram[s_train_ram == 1])
74 f_model = pu_learn_scar_c(x_train, s_train, c_est, classification_model_type(), classification_attributes=classification_attributes)
75 e_model = NoFeaturesModel(c_est)
File ~\OneDrive\桌面\km\Kernel_MPE_grad_threshold.py:152, in wrapper(X_mixture, X_component)
150 best_width,kernel=compute_best_rbf_kernel_width(X_mixture,X_component)
151 lambda_values=np.array([1.00,1.05])
--> 152 dists=get_distance_curve(kernel,lambda_values,N=N,M=M)
153 begin_slope=(dists[1]-dists[0])/(lambda_values[1]-lambda_values[0])
154 dist_diff = np.concatenate((np.ones((N, 1)) / N, -1 * np.ones((M,1)) / M))
File ~\OneDrive\桌面\km\Kernel_MPE_grad_threshold.py:66, in get_distance_curve(kernel, lambda_values, N, M)
61 for lambda_value in lambda_values:
62 u_lambda = lambda_value / N * np.concatenate((np.ones((N, 1)),
63 np.zeros((M, 1)))) + (1 - lambda_value) / M \
64 * np.concatenate((np.zeros((N, 1)), np.ones((M, 1))))
65 (solution, distance_sqd) = \
---> 66 find_nearest_valid_distribution(u_lambda, kernel, initial=prev_soln)
67 prev_soln = solution
68 d_lambda.append(sqrt(max(0,distance_sqd)))
File ~\OneDrive\桌面\km\Kernel_MPE_grad_threshold.py:32, in find_nearest_valid_distribution(u_alpha, kernel, initial, reg)
30 dims = {'l': n, 'q': [], 's': []}
31 solvers.options['show_progress'] = False
---> 32 solution = solvers.coneqp(
33 P,
34 q,
35 G,
36 h,
37 dims,
38 A,
39 b,
40 initvals=initial
41 )
42 distance_sqd = solution['primal objective'] + np.dot(u_alpha.T,
43 np.dot(kernel, u_alpha))[0, 0]
44 return (solution, distance_sqd)
File D:\anaconda\lib\site-packages\cvxopt\coneprog.py:2067, in coneqp(P, q, G, h, dims, A, b, initvals, kktsolver, xnewcopy, xdot, xaxpy, xscal, ynewcopy, ydot, yaxpy, yscal, **kwargs)
2065 try: f = kktsolver(W)
2066 except ArithmeticError:
-> 2067 raise ValueError("Rank(A) < p or Rank([P; A; G]) < n")
2070 # Solve
2071 #
2072 # [ P A' G' ] [ x ] [ -q ]
2073 # [ A 0 0 ] * [ y ] = [ b ].
2074 # [ G 0 -I ] [ z ] [ h ]
2076 xcopy(q, x)
ValueError: Rank(A) < p or Rank([P; A; G]) < n
What confuses me is that the code ran well before but suddenly gets these errors. I would appreciate it if you can provide me with some clues. Thanks!
