ML之LiR：机器学习经典算法之线性回归算法LiR的简介、使用方法、经典案例之详细攻略

输出结果

代码设计

from numpy import genfromtxt    

from sklearn import linear_model

datapath=r"Delivery_Dummy.csv"

data = genfromtxt(datapath,delimiter=",")

x = data[1:,:-1]

y = data[1:,-1]

print (x)

print (y)

mlr = linear_model.LinearRegression()

mlr.fit(x, y)  

print (mlr)

print ("coef:")

print (mlr.coef_)        

print ("intercept")

print (mlr.intercept_)  

xPredict =  [[120,3,1,0,0]]

yPredict = mlr.predict(xPredict)

print ("predict:")

print (yPredict)

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