Update aggregate_server_json.py

aggregate_server_json.py

@@ -227,7 +227,6 @@ class AggregateNER:
         return False
 
     def gen_resolved_entity(self,results,server_index,pivot_index,run_index,cross_prediction_count,servers_arr):
-        print("In gen resolved entity")
         if (cross_prediction_count == 1 or cross_prediction_count == -1):
             #This is the case where we are emitting just one server prediction. In this case, if  CS and consolidated dont match, emit both
             if (pivot_index in results[server_index]["orig_cs_prediction_details"]):
@@ -254,6 +253,7 @@ class AggregateNER:
                     return ret_obj
                 else:
                     #if we come here consolidated is same as cs prediction. So we try to either use ci or the second cs prediction if ci is out of domain
+                    print("***** here 1")
                     if (m1 != m1_ci):
                         #CS and CI are not same
                         if (is_ci_included):
@@ -291,6 +291,7 @@ class AggregateNER:
                                 return flip_category(results[server_index]["ner"][run_index])
                     else:
                         #here cs and ci are same. So use two consecutive cs predictions if meaningful
+                        print("***** here 2")
                         if (len(results[server_index]["orig_cs_prediction_details"][pivot_index]['cs_distribution']) >= 2):
                             ret_arr = self.get_predictions_above_threshold(results[server_index]["orig_cs_prediction_details"][pivot_index])
                             orig_cs_second_entity = results[server_index]["orig_cs_prediction_details"][pivot_index]['cs_distribution'][1]