麦子学院机器学习基础(6)-（简单线性回归)）(python)

#simple linear regression
#简单线性回归
import numpy as np 
x = [1,3,2,1,3]
y = [14,24,18,17,27]
def get_slr(x,y):
    n = len(x)
    din = 0
    num = 0
    for i in range(n):
        num += (x[i]-np.mean(x))*(y[i]-np.mean(y))
        din += (x[i]-np.mean(x))**2
    b1 = num/float(din)
    b0 = aver_y-b1*np.mean(x)
return b0,b1