Refactor New classifiers to extract predict

src/BayesNet/Proposal.h

@@ -5,6 +5,7 @@
 #include <torch/torch.h>
 #include "Network.h"
 #include "CPPFImdlp.h"
+#include "Classifier.h"
 
 namespace bayesnet {
     class Proposal {
@@ -12,6 +13,7 @@ namespace bayesnet {
         Proposal(vector<vector<int>>& Xv_, vector<int>& yv_, vector<string>& features_, string& className_);
         virtual ~Proposal();
     protected:
+        torch::Tensor prepareX(torch::Tensor& X);
         void localDiscretizationProposal(map<string, vector<int>>& states, Network& model);
         void fit_local_discretization(map<string, vector<int>>& states, torch::Tensor& y);
         torch::Tensor Xf; // X continuous nxm tensor