使用jupyter notebook 实现机器学习线性回归

机器学习 线性回归

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

x = np.linspace(1,10,20)
a = np.random.randint(1,10,20)

y = x * 4 + a

plt.plot(x,y,'o')

from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(x.reshape(20,1), y.reshape(20,1))

LinearRegression(copy_X=True,fit_intercept=True,n_jobs =1,normalize = False)
model.predict(6)    #预测出的函数值y

model.coef_         #系数k
model.intercept_    #截距b