Refactor aggregate score to a constructor

src/main/Scores.cpp

@@ -40,6 +40,15 @@ namespace platform {
         }
         compute_accuracy_value();
     }
+    static Score Scores::create_aggregate(json& data, std::string key)
+    {
+        auto scores = Scores(result[key][0]);
+        for (int i = 1; i < result[key].size(); i++) {
+            auto score = Scores(result[key][i]);
+            scores.aggregate(score);
+        }
+        return scores;
+    }
     void Scores::compute_accuracy_value()
     {
         accuracy_value = 0;

src/main/Scores.h

@@ -10,6 +10,7 @@ namespace platform {
     public:
         Scores(torch::Tensor& y_test, torch::Tensor& y_pred, int num_classes, std::vector<std::string> labels = {});
         explicit Scores(json& confusion_matrix_);
+        static Score create_aggregate(json& data, std::string key);
         float accuracy();
         float f1_score(int num_class);
         float f1_weighted();