Create Xaode2 and add initializer factor in predict

src/experimental_clfs/ExpClf.h

@@ -15,6 +15,7 @@
 #include "common/Timer.hpp"
 #include "CountingSemaphore.hpp"
 #include "Xaode.hpp"
+#include "Xaode2.hpp"
 
 namespace platform {
     class ExpClf : public bayesnet::Boost {
@@ -44,7 +45,8 @@ namespace platform {
         void remove_last_parent();
     protected:
         bool debug = false;
-        Xaode aode_;
+        // Xaode aode;
+        Xaode2 aode_;
         torch::Tensor weights_;
         const std::string CLASSIFIER_NOT_FITTED = "Classifier has not been fitted";
         inline void normalize_weights(int num_instances)