Implement the proba branch and begin with the voting one

src/AODELd.h

@@ -0,0 +1,20 @@
+#ifndef AODELD_H
+#define AODELD_H
+#include "Ensemble.h"
+#include "Proposal.h"
+#include "SPODELd.h"
+
+namespace bayesnet {
+    class AODELd : public Ensemble, public Proposal {
+    protected:
+        void trainModel(const torch::Tensor& weights) override;
+        void buildModel(const torch::Tensor& weights) override;
+    public:
+        AODELd();
+        AODELd& fit(torch::Tensor& X_, torch::Tensor& y_, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_) override;
+        virtual ~AODELd() = default;
+        std::vector<std::string> graph(const std::string& name = "AODELd") const override;
+        static inline std::string version() { return "0.0.1"; };
+    };
+}
+#endif // !AODELD_H