fork download
copy 
  1.  
  2. import pandas as pd
  3. import numpy as np
  4.  
  5. #to read the data in the csv file
  6. data = pd.read_csv("data.csv")
  7. print(data,"n")
  8.  
  9. #making an array of all the attributes
  10. d = np.array(data)[:,:-1]
  11. print("n The attributes are: ",d)
  12.  
  13. #segragating the target that has positive and negative examples
  14. target = np.array(data)[:,-1]
  15. print("n The target is: ",target)
  16.  
  17. #training function to implement find-s algorithm
  18. def train(c,t):
  19.     for i, val in enumerate(t):
  20.         if val == "Yes":
  21.             specific_hypothesis = c[i].copy()
  22.             break
  23.  
  24.     for i, val in enumerate(c):
  25.         if t[i] == "Yes":
  26.             for x in range(len(specific_hypothesis)):
  27.                 if val[x] != specific_hypothesis[x]:
  28.                     specific_hypothesis[x] = '?'
  29.                 else:
  30.                     pass
  31.  
  32.     return specific_hypothesis
  33.  
  34. #obtaining the final hypothesis
  35. print("n The final hypothesis is:",train(d,target))
  36.  
Success #stdin #stdout #stderr 0.27s 40508KB
comments (?)
stdin
copy 
Standard input is empty
stdout
copy 
Standard output is empty
stderr
copy 
Error: unexpected symbol in "import pandas"
Execution halted
https://ideone.com/xEQF7Y
language:
R (R 3.5.2)
created:
8 days ago
visibility:
public

Share or Embed source code

Discover > Sphere Engine API

The brand new service which powers Ideone!

Discover > IDE Widget

Widget for compiling and running the source code in a web browser!