Update aggregate_server_json.py

aggregate_server_json.py

@@ -202,14 +202,15 @@ class AggregateNER:
             mean_score = 1.0/len(dist) #input is a prob distriubution. so sum is 1
         else:
             mean_score = 0
-        sum_deviation = 0
-        for node in dist:
-            sum_deviation += (mean_score - node["confidence"])*(mean_score - node["confidence"])
-        variance = sum_deviation/len(dist)
-        std_dev = math.sqrt(variance)
-        threshold =  mean_score - std_dev*self.threshold #default is 1 standard deviation from mean
-        #threshold = mean_score 
-        pick_count = 1
+        #sum_deviation = 0
+        #for node in dist:
+         #   sum_deviation += (mean_score - node["confidence"])*(mean_score - node["confidence"])
+        #variance = sum_deviation/len(dist)
+        #std_dev = math.sqrt(variance)
+        #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
         for node in dist:
             print("conf:",node["confidence"],"threshold:",threshold)
             if (node["confidence"] >= threshold):