candidate elimination algorithm python code
import numpy as np
import pandas as pd
data = pd.read_csv(path+'/enjoysport.csv')
concepts = np.array(data.iloc[:,0:-1])
print("\nInstances are:\n",concepts)
target = np.array(data.iloc[:,-1])
print("\nTarget Values are: ",target)
def learn(concepts, target):
specific_h = concepts[0].copy()
print("\nInitialization of specific_h and genearal_h")
print("\nSpecific Boundary: ", specific_h)
general_h = [["?" for i in range(len(specific_h))] for i in range(len(specific_h))]
print("\nGeneric Boundary: ",general_h)
for i, h in enumerate(concepts):
print("\nInstance", i+1 , "is ", h)
if target[i] == "yes":
print("Instance is Positive ")
for x in range(len(specific_h)):
if h[x]!= specific_h[x]:
specific_h[x] ='?'
general_h[x][x] ='?'
if target[i] == "no":
print("Instance is Negative ")
for x in range(len(specific_h)):
if h[x]!= specific_h[x]:
general_h[x][x] = specific_h[x]
else:
general_h[x][x] = '?'
print("Specific Bundary after ", i+1, "Instance is ", specific_h)
print("Generic Boundary after ", i+1, "Instance is ", general_h)
print("\n")
indices = [i for i, val in enumerate(general_h) if val == ['?', '?', '?', '?', '?', '?']]
for i in indices:
general_h.remove(['?', '?', '?', '?', '?', '?'])
return specific_h, general_h
s_final, g_final = learn(concepts, target)
print("Final Specific_h: ", s_final, sep="\n")
print("Final General_h: ", g_final, sep="\n")