Create lab3.py

7th sem (Machine Learning)/lab3.py

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+import csv
+
+with open("trainingexamples.csv") as f:
+    csv_file = csv.reader(f)
+    data = list(csv_file)
+
+    specific = data[1][:-1]
+    general = [['?' for i in range(len(specific))] for j in range(len(specific))]
+
+    for i in data:
+        if i[-1] == "Yes":
+            for j in range(len(specific)):
+                if i[j] != specific[j]:
+                    specific[j] = "?"
+                    general[j][j] = "?"
+
+        elif i[-1] == "No":
+            for j in range(len(specific)):
+                if i[j] != specific[j]:
+                    general[j][j] = specific[j]
+                else:
+                    general[j][j] = "?"
+
+        print("\nStep " + str(data.index(i)+1) + " of Candidate Elimination Algorithm")
+        print(specific)
+        print(general)
+
+    gh = [] # gh = general Hypothesis
+    for i in general:
+        for j in i:
+            if j != '?':
+                gh.append(i)
+                break
+    print("\nFinal Specific hypothesis:\n", specific)
+    print("\nFinal General hypothesis:\n", gh)