Complete predict and score of kdb

Change new/delete to make_unique

src/Ensemble.h

@@ -3,15 +3,16 @@
 #include <torch/torch.h>
 #include "BaseClassifier.h"
 #include "Metrics.hpp"
+#include "utils.h"
 using namespace std;
 using namespace torch;
 
 namespace bayesnet {
     class Ensemble {
     private:
+        long n_models;
         Ensemble& build(vector<string>& features, string className, map<string, vector<int>>& states);
     protected:
-        BaseClassifier& model;
         vector<BaseClassifier> models;
         int m, n; // m: number of samples, n: number of features
         Tensor X;
@@ -23,7 +24,8 @@ namespace bayesnet {
         map<string, vector<int>> states;
         void virtual train() = 0;
     public:
-        Ensemble(BaseClassifier& model);
+        Ensemble();
+        virtual ~Ensemble() = default;
         Ensemble& fit(Tensor& X, Tensor& y, vector<string>& features, string className, map<string, vector<int>>& states);
         Ensemble& fit(vector<vector<int>>& X, vector<int>& y, vector<string>& features, string className, map<string, vector<int>>& states);
         Tensor predict(Tensor& X);