【深度学习基础-11】简单线性回归（下）--实例及python代码实现

比如有5组数据，让你去做简单线性回归。 

python代码实现上述过程

  

   

    

     

    
    

     

      import numpy as np
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      def fitSLR(x,y):
     
    
   

    

     

    
    

     

       n = len(x)
     
    
   

    

     

    
    

     

       dinominator = 0
     
    
   

    

     

    
    

     

       numerator = 0
     
    
   

    

     

    
    

     
 for i in range(0, n):
     
    
   

    

     

    
    

     

       numerator += (x[i] - np.mean(x))*(y[i] - np.mean(y))
     
    
   

    

     

    
    

     

       dinominator += (x[i] - np.mean(x))**2
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

       print("numerator", numerator)
     
    
   

    

     

    
    

     

       print("dinominator", dinominator)
     
    
   

    

     

    
    

     

       b1 = numerator/float(dinominator)
     
    
   

    

     

    
    

     

       b0 = np.mean(y)/float(np.mean(x))
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     
 return b0, b1
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      def predict(x, b0, b1):
     
    
   

    

     

    
    

     
 return b0 + x*b1
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      x = [1, 3, 2, 1, 3]
     
    
   

    

     

    
    

     

      y = [14, 24, 18, 17, 27]
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      b0, b1 = fitSLR(x, y)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      print("intercept:", b0 , " slope:", b1)
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      x_te
     
    
  
 

文章来源: kings.blog.csdn.net，作者：人工智能博士，版权归原作者所有，如需转载，请联系作者。

原文链接：kings.blog.csdn.net/article/details/86307009