ML之MLiR：利用多元线性回归法，从大量数据(csv文件)中提取五个因变量(输入运输任务总里程数、运输次数、三种不同的车型，预测需要花费的小时数)来预测一个自变量

1. from numpy import genfromtxt    
2. from sklearn import linear_model
3. 
4. datapath=r"Delivery_Dummy.csv"
5. data = genfromtxt(datapath,delimiter=",") 
6. 
7. x = data[1:,:-1] 
8. y = data[1:,-1]
9. print (x)
10. print (y)
11. 
12. mlr = linear_model.LinearRegression() 
13. 
14. mlr.fit(x, y)  
15. 
16. print (mlr)
17. print ("coef:")
18. print (mlr.coef_)        
19. print ("intercept")
20. print (mlr.intercept_)  
21. 
22. xPredict =  [[120,3,1,0,0]]
23. yPredict = mlr.predict(xPredict)
24. 
25. print ("predict:")
26. print (yPredict)