python|多元线性回归

import pandas as pd
import numpy as np
from sklearn import linear_model

df=pd.read_csv(r"LinearRegression.csv",engine='python')

col=df.shape[1]
X=df.iloc[:,2:col]
y=df.iloc[:,1:2]
X=np.matrix(X.values)
y=np.matrix(y.values)

regr=linear_model.LinearRegression()
regr.fit(X,y)
a,b=regr.coef_,regr.intercept_
print(a)
print(b)