3.1 Logistic回归原理，参数推导及Python实现

import matplotlib.pyplot as plt import numpy as np #假设 def logistic(x): return 1/(1+np.exp(-x)) #随机梯度下降 def SGD(X,Y,a=0.001): theta = np.mat([0, 0], dtype='float64') for time in range(3000

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