关于 CVXOPT 求解二次规划问题报错

小弟用 SVM 高斯核，样本是西瓜书的西瓜数据集，一直报错，请问是什么问题

import scipy.io as sico import numpy as np import cvxopt from numpy import linalg from sklearn import preprocessing dataFile='/Users/zhuyongqi/Desktop/机器学习 /数据集 /watermelon_3a.mat' data=sico.loadmat(dataFile) np.set_printoptions(suppress=True) a = data['watermelon_3a'] b=a[:,[0,1]] features=a[:,2] # 进行归一化处理 X_scaled = preprocessing.scale(b) #高斯核 def gaussian_kernel(x, y, sigma=1.0): return np.exp(-np.dot((x-y),(x-y).T) / (2 * (sigma ** 2))) n_samples, n_features = X_scaled.shape K = np.zeros((n_samples, n_samples)) for i in range(n_samples): for j in range(n_samples): K[i,j] = gaussian_kernel(X_scaled[i], X_scaled[j]) E = np.ones([n_samples,1]) Y = np.zeros([n_samples,n_samples]) y = np.ones([n_samples,1]) for i in range (n_samples): y[i] = features[i] y = y.T for i in range (n_samples): Y[i][i] = features[i] q = E P = np.dot(Y,K,Y) H = np.zeros([n_samples,1]) G = -1 * np.ones([n_samples,n_samples]) P = cvxopt.matrix(P,(17,17)) q = cvxopt.matrix(q,(17,1)) G = cvxopt.matrix(G,(17,17)) A = cvxopt.matrix(y,(1,17)) h = cvxopt.matrix(H,(17,1)) b = cvxopt.matrix(0.0) sol = cvxopt.solvers.qp(P,q,G,h,A,b) 

报错情况：

Traceback (most recent call last): File "/Users/zhuyongqi/python/Experment_05/test.py", line 52, in <module> sol = cvxopt.solvers.qp(P,q,G,h,A,b) File "/usr/local/anaconda3/lib/python3.8/site-packages/cvxopt/coneprog.py", line 4487, in qp return coneqp(P, q, G, h, None, A, b, initvals, kktsolver = kktsolver, optiOns= options) File "/usr/local/anaconda3/lib/python3.8/site-packages/cvxopt/coneprog.py", line 2067, in coneqp raise ValueError("Rank(A) < p or Rank([P; A; G]) < n") ValueError: Rank(A) < p or Rank([P; A; G]) < n