Remove old Files library
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@@ -88,7 +88,6 @@ message(STATUS "Bayesnet_INCLUDE_DIRS=${Bayesnet_INCLUDE_DIRS}")
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## Configure test data path
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cmake_path(SET TEST_DATA_PATH "${CMAKE_CURRENT_SOURCE_DIR}/tests/data")
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configure_file(src/common/SourceData.h.in "${CMAKE_BINARY_DIR}/configured_files/include/SourceData.h")
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add_subdirectory(lib/Files)
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add_subdirectory(config)
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add_subdirectory(src)
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add_subdirectory(sample)
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@@ -1,176 +0,0 @@
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#include "ArffFiles.h"
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#include <fstream>
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#include <sstream>
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#include <map>
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#include <cctype> // std::isdigit
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#include <algorithm> // std::all_of
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#include <iostream>
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ArffFiles::ArffFiles() = default;
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std::vector<std::string> ArffFiles::getLines() const
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{
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return lines;
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}
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unsigned long int ArffFiles::getSize() const
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{
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return lines.size();
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}
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std::vector<std::pair<std::string, std::string>> ArffFiles::getAttributes() const
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{
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return attributes;
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}
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std::string ArffFiles::getClassName() const
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{
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return className;
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}
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std::string ArffFiles::getClassType() const
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{
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return classType;
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}
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std::vector<std::vector<float>>& ArffFiles::getX()
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{
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return X;
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}
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std::vector<int>& ArffFiles::getY()
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{
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return y;
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}
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void ArffFiles::loadCommon(std::string fileName)
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{
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std::ifstream file(fileName);
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if (!file.is_open()) {
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throw std::invalid_argument("Unable to open file");
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}
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std::string line;
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std::string keyword;
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std::string attribute;
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std::string type;
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std::string type_w;
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while (getline(file, line)) {
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if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
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continue;
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}
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if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
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std::stringstream ss(line);
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ss >> keyword >> attribute;
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type = "";
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while (ss >> type_w)
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type += type_w + " ";
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attributes.emplace_back(trim(attribute), trim(type));
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continue;
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}
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if (line[0] == '@') {
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continue;
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}
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lines.push_back(line);
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}
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file.close();
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if (attributes.empty())
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throw std::invalid_argument("No attributes found");
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}
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void ArffFiles::load(const std::string& fileName, bool classLast)
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{
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int labelIndex;
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loadCommon(fileName);
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if (classLast) {
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className = std::get<0>(attributes.back());
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classType = std::get<1>(attributes.back());
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attributes.pop_back();
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labelIndex = static_cast<int>(attributes.size());
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} else {
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className = std::get<0>(attributes.front());
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classType = std::get<1>(attributes.front());
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attributes.erase(attributes.begin());
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labelIndex = 0;
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}
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generateDataset(labelIndex);
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}
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void ArffFiles::load(const std::string& fileName, const std::string& name)
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{
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int labelIndex;
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loadCommon(fileName);
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bool found = false;
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for (int i = 0; i < attributes.size(); ++i) {
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if (attributes[i].first == name) {
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className = std::get<0>(attributes[i]);
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classType = std::get<1>(attributes[i]);
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attributes.erase(attributes.begin() + i);
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labelIndex = i;
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found = true;
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break;
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}
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}
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if (!found) {
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throw std::invalid_argument("Class name not found");
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}
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generateDataset(labelIndex);
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}
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void ArffFiles::generateDataset(int labelIndex)
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{
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X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
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auto yy = std::vector<std::string>(lines.size(), "");
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auto removeLines = std::vector<int>(); // Lines with missing values
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for (size_t i = 0; i < lines.size(); i++) {
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std::stringstream ss(lines[i]);
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std::string value;
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int pos = 0;
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int xIndex = 0;
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while (getline(ss, value, ',')) {
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if (pos++ == labelIndex) {
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yy[i] = value;
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} else {
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if (value == "?") {
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X[xIndex++][i] = -1;
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removeLines.push_back(i);
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} else
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X[xIndex++][i] = stof(value);
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}
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}
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}
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for (auto i : removeLines) {
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yy.erase(yy.begin() + i);
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for (auto& x : X) {
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x.erase(x.begin() + i);
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}
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}
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y = factorize(yy);
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}
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std::string ArffFiles::trim(const std::string& source)
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{
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std::string s(source);
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s.erase(0, s.find_first_not_of(" '\n\r\t"));
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s.erase(s.find_last_not_of(" '\n\r\t") + 1);
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return s;
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}
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std::vector<int> ArffFiles::factorize(const std::vector<std::string>& labels_t)
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{
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std::vector<int> yy;
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labels.clear();
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yy.reserve(labels_t.size());
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std::map<std::string, int> labelMap;
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int i = 0;
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for (const std::string& label : labels_t) {
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if (labelMap.find(label) == labelMap.end()) {
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labelMap[label] = i++;
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bool allDigits = std::all_of(label.begin(), label.end(), isdigit);
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if (allDigits)
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labels.push_back("Class " + label);
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else
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labels.push_back(label);
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}
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yy.push_back(labelMap[label]);
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}
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return yy;
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}
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@@ -1,34 +0,0 @@
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#ifndef ARFFFILES_H
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#define ARFFFILES_H
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#include <string>
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#include <vector>
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class ArffFiles {
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public:
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ArffFiles();
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void load(const std::string&, bool = true);
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void load(const std::string&, const std::string&);
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std::vector<std::string> getLines() const;
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unsigned long int getSize() const;
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std::string getClassName() const;
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std::string getClassType() const;
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std::vector<std::string> getLabels() const { return labels; }
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static std::string trim(const std::string&);
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std::vector<std::vector<float>>& getX();
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std::vector<int>& getY();
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std::vector<std::pair<std::string, std::string>> getAttributes() const;
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std::vector<int> factorize(const std::vector<std::string>& labels_t);
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private:
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std::vector<std::string> lines;
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std::vector<std::pair<std::string, std::string>> attributes;
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std::string className;
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std::string classType;
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std::vector<std::vector<float>> X;
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std::vector<int> y;
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std::vector<std::string> labels;
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void generateDataset(int);
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void loadCommon(std::string);
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};
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#endif
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@@ -1 +0,0 @@
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add_library(ArffFiles ArffFiles.cc)
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@@ -12,4 +12,4 @@ include_directories(
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${Bayesnet_INCLUDE_DIRS}
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)
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add_executable(PlatformSample sample.cpp ${Platform_SOURCE_DIR}/src/main/Models.cpp)
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target_link_libraries(PlatformSample "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
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target_link_libraries(PlatformSample "${PyClassifiers}" "${BayesNet}" mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
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@@ -5,7 +5,7 @@
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#include <torch/torch.h>
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#include <argparse/argparse.hpp>
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#include <nlohmann/json.hpp>
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#include <ArffFiles.h>
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#include <ArffFiles.hpp>
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#include <CPPFImdlp.h>
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#include <folding.hpp>
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#include <bayesnet/utils/BayesMetrics.h>
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@@ -26,7 +26,7 @@ add_executable(
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reports/ReportExcel.cpp reports/ReportBase.cpp reports/ExcelFile.cpp
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results/Result.cpp
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)
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target_link_libraries(b_best Boost::boost "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy "${XLSXWRITER_LIB}")
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target_link_libraries(b_best Boost::boost "${PyClassifiers}" "${BayesNet}" mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy "${XLSXWRITER_LIB}")
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# b_grid
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set(grid_sources GridSearch.cpp GridData.cpp)
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@@ -35,7 +35,7 @@ add_executable(b_grid commands/b_grid.cpp ${grid_sources}
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common/Datasets.cpp common/Dataset.cpp
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main/HyperParameters.cpp main/Models.cpp
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)
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target_link_libraries(b_grid ${MPI_CXX_LIBRARIES} "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
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target_link_libraries(b_grid ${MPI_CXX_LIBRARIES} "${PyClassifiers}" "${BayesNet}" mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
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# b_list
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add_executable(b_list commands/b_list.cpp
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@@ -44,7 +44,7 @@ add_executable(b_list commands/b_list.cpp
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reports/ReportExcel.cpp reports/ExcelFile.cpp reports/ReportBase.cpp reports/DatasetsExcel.cpp reports/DatasetsConsole.cpp reports/ReportsPaged.cpp
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results/Result.cpp results/ResultsDatasetExcel.cpp results/ResultsDataset.cpp results/ResultsDatasetConsole.cpp
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)
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target_link_libraries(b_list "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy "${XLSXWRITER_LIB}")
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target_link_libraries(b_list "${PyClassifiers}" "${BayesNet}" mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy "${XLSXWRITER_LIB}")
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# b_main
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set(main_sources Experiment.cpp Models.cpp HyperParameters.cpp Scores.cpp)
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@@ -54,7 +54,7 @@ add_executable(b_main commands/b_main.cpp ${main_sources}
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reports/ReportConsole.cpp reports/ReportBase.cpp
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results/Result.cpp
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)
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target_link_libraries(b_main "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
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target_link_libraries(b_main "${PyClassifiers}" "${BayesNet}" mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
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# b_manage
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set(manage_sources ManageScreen.cpp CommandParser.cpp ResultsManager.cpp)
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@@ -66,4 +66,4 @@ add_executable(
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results/Result.cpp results/ResultsDataset.cpp results/ResultsDatasetConsole.cpp
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main/Scores.cpp
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)
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target_link_libraries(b_manage "${TORCH_LIBRARIES}" "${XLSXWRITER_LIB}" ArffFiles mdlp "${BayesNet}")
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target_link_libraries(b_manage "${TORCH_LIBRARIES}" "${XLSXWRITER_LIB}" mdlp "${BayesNet}")
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@@ -1,4 +1,4 @@
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#include <ArffFiles.h>
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#include <ArffFiles.hpp>
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#include <fstream>
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#include "Dataset.h"
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namespace platform {
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