Refactor Library 2 include a Platform/ Experiments

src/BaseClassifier.h

@@ -1,48 +0,0 @@
-#ifndef CLASSIFIERS_H
-#define CLASSIFIERS_H
-#include <torch/torch.h>
-#include "Network.h"
-#include "Metrics.hpp"
-using namespace std;
-using namespace torch;
-
-namespace bayesnet {
-    class BaseClassifier {
-    private:
-        bool fitted;
-        BaseClassifier& build(vector<string>& features, string className, map<string, vector<int>>& states);
-    protected:
-        Network model;
-        int m, n; // m: number of samples, n: number of features
-        Tensor X;
-        vector<vector<int>> Xv;
-        Tensor y;
-        vector<int> yv;
-        Tensor dataset;
-        Metrics metrics;
-        vector<string> features;
-        string className;
-        map<string, vector<int>> states;
-        void checkFitParameters();
-        virtual void train() = 0;
-    public:
-        BaseClassifier(Network model);
-        virtual ~BaseClassifier() = default;
-        BaseClassifier& fit(vector<vector<int>>& X, vector<int>& y, vector<string>& features, string className, map<string, vector<int>>& states);
-        void addNodes();
-        int getNumberOfNodes();
-        int getNumberOfEdges();
-        Tensor predict(Tensor& X);
-        vector<int> predict(vector<vector<int>>& X);
-        float score(Tensor& X, Tensor& y);
-        float score(vector<vector<int>>& X, vector<int>& y);
-        vector<string> show();
-        virtual vector<string> graph(string title) = 0;
-    };
-}
-#endif
-
-
-
-
-