Add example usage of calculate_hierarchical_precision_recall function

ham.py

@@ -95,3 +95,11 @@ def hierarchical_f_measure(hP, hR, beta=1.0):
     if hP + hR == 0:
         return 0
     return (beta**2 + 1) * hP * hR / (beta**2 * hP + hR)
+
+
+# Example list usage:
+# real_codes = ["1111", "1112", "1113", "1114"]
+# predicted_codes = ["1111", "1113", "1120", "1211"]
+# hierarchy_dict = {'1111': {'111', '1', '11'}, '1112': {'111', '1', '11'}, '1113': {'111', '1', '11'}, '1114': {'111', '1', '11'} ...}
+# result = calculate_hierarchical_precision_recall(real_codes, predicted_codes, hierarchy_dict)
+# print(result)