Update aggregate_server_json.py

aggregate_server_json.py

@@ -210,7 +210,7 @@ class AggregateNER:
         #print("mean",mean,"std_dev",std_dev)
         #threshold =  mean_score - std_dev*self.threshold #default is 1 standard deviation from mean
         threshold = mean_score 
-        pick_count = 2
+        pick_count = 1
         for node in dist:
             print("conf:",node["confidence"],"threshold:",threshold)
             if (node["confidence"] >= threshold):
@@ -274,6 +274,7 @@ class AggregateNER:
                                 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]
                                 m2_cs = orig_cs_second_entity["e"].split('[')[0]
+                                print("m2_cs",m2_cs,"ret_arr",ret_arr)
                                 is_cs_included = True if (m2_cs in servers_arr[server_index]["precedence"]) else False
                                 is_cs_included = True #Disabling cs included check. If prediction above threshold is cross prediction, then letting it through
                                 assert (m2_cs != m1)