MLR：利用多元线性回归法，从大量数据中提取五个因变量来预测一个自变量—Jason niu

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)