岭回归import numpy as npfrom scipy import linalgx = np.random.randn(10*2).reshape(10,2)np.savetxt("x.txt",x)#np.loadtxt("x.txt")x = np.hstack((np.ones((10,1)),x))b = np.array([2,3,4])y = np.random.ra

from numpy import *import matplotlib.pyplot as pltdef sigmoid(x): return 1/(1+exp(-x))class LogRegressionClassifier(object): def __init__(self): self.dataMat = list() self.label