data2 = np.loadtxt('data2.txt', delimiter=',')y = np.c_[data2[:,2]]#标注X = data2[:,0:2]#样本
# PolynomialFeatures方法分别为三个参数degree=2, interaction_only=False, include_bias=True
poly = PolynomialFeatures(6)#最高阶数XX = poly.fit_transform(data2[:,0:2])#将data2的0到1列转换成转化成多项式
initial_theta = np.zeros(XX.shape[1])
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