Refactor folder structure of the project

.vscode/launch.json

@@ -5,7 +5,7 @@
             "type": "lldb",
             "request": "launch",
             "name": "bayesnet",
-            "program": "${workspaceFolder}/build/bayesnet",
+            "program": "${workspaceFolder}/build/sample/main",
             "args": [],
             "cwd": "${workspaceFolder}",
             "preLaunchTask": "CMake: build"

CMakeLists.txt

@@ -1,6 +1,6 @@
 cmake_minimum_required(VERSION 3.20)
 
-project(bayesnet)
+project(BayesNet)
 find_package(Torch REQUIRED)
 
 if (POLICY CMP0135)
@@ -10,8 +10,5 @@ endif ()
 set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
 
-# add_library(BayesNet Node.cc Network.cc)
+add_subdirectory(src)
-add_executable(BayesNet main.cc ArffFiles.cc Node.cc Network.cc CPPFImdlp.cpp Metrics.cpp)
+add_subdirectory(sample)
-add_executable(test test.cc)
-target_link_libraries(BayesNet "${TORCH_LIBRARIES}")
-target_link_libraries(test "${TORCH_LIBRARIES}")

sample/CMakeLists.txt

@@ -0,0 +1,6 @@
+include_directories(${BayesNet_SOURCE_DIR}/src)
+link_directories(${MyProject_SOURCE_DIR}/src)
+add_executable(main main.cc ArffFiles.cc CPPFImdlp.cpp Metrics.cpp)
+add_executable(test test.cc)
+target_link_libraries(main BayesNet "${TORCH_LIBRARIES}")
+target_link_libraries(test "${TORCH_LIBRARIES}")

sample/main.cc

@@ -27,7 +27,7 @@ vector<mdlp::labels_t> discretize(vector<mdlp::samples_t>& X, mdlp::labels_t& y)
 int main()
 {
     auto handler = ArffFiles();
-    handler.load("iris.arff");
+    handler.load("data/iris.arff");
     // Get Dataset X, y
     vector<mdlp::samples_t>& X = handler.getX();
     mdlp::labels_t& y = handler.getY();

simple/Network.cc

@@ -1,47 +0,0 @@
-#include <string>
-#include <vector>
-#include <map>
-#include "Network.h"
-
-namespace bayesnet {
-    Network::Network() {}
-
-    Network::~Network()
-    {
-        for (auto& pair : nodes) {
-            delete pair.second;
-        }
-    }
-
-    void Network::addNode(std::string name)
-    {
-        nodes[name] = new Node(name);
-    }
-
-    void Network::addEdge(std::string parentName, std::string childName)
-    {
-        Node* parent = nodes[parentName];
-        Node* child = nodes[childName];
-
-        if (parent == nullptr || child == nullptr) {
-            throw std::invalid_argument("Parent or child node not found.");
-        }
-
-        child->addParent(parent);
-    }
-
-    // to be implemented
-    void Network::fit(const std::vector<std::vector<double>>& dataset)
-    {
-        // ... learn parameters (i.e., CPTs) using the dataset
-    }
-
-    // to be implemented
-    std::vector<double> Network::predict(const std::vector<std::vector<double>>& testset)
-    {
-        std::vector<double> predictions;
-        // ... use the CPTs and network structure to predict values
-        return predictions;
-    }
-}
-

simple/Network.h

@@ -1,21 +0,0 @@
-#ifndef NETWORK_H
-#define NETWORK_H
-#include <string>
-#include <vector>
-#include <map>
-#include "Node.h"
-
-namespace bayesnet {
-    class Network {
-    private:
-        std::map<std::string, Node*> nodes;
-    public:
-        Network();
-        ~Network();
-        void addNode(std::string);
-        void addEdge(std::string, std::string);
-        void fit(const std::vector<std::vector<double>>&);
-        std::vector<double> predict(const std::vector<std::vector<double>>&);
-    };
-}
-#endif

simple/Node.cc

@@ -1,14 +0,0 @@
-#include <string>
-#include <vector>
-#include <map>
-#include "Node.h"
-
-namespace bayesnet {
-    Node::Node(std::string name) : name(name) {}
-
-    void Node::addParent(Node* parent)
-    {
-        parents.push_back(parent);
-        parent->children.push_back(this);
-    }
-}

simple/Node.h

@@ -1,18 +0,0 @@
-#ifndef NODE_H
-#define NODE_H
-#include <string>
-#include <vector>
-#include <map>
-namespace bayesnet {
-    class Node {
-    private:
-        std::string name;
-        std::vector<Node*> parents;
-        std::vector<Node*> children;
-        std::map<std::vector<bool>, double> cpt; // Conditional Probability Table
-    public:
-        Node(std::string);
-        void addParent(Node*);
-    };
-}
-#endif

src/CMakeLists.txt

@@ -0,0 +1,2 @@
+add_library(BayesNet Network.cc Node.cc)
+target_link_libraries(BayesNet "${TORCH_LIBRARIES}")