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Remove using namespace from Library

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This commit is contained in:
Ricardo Montañana Gómez
2023-11-08 18:45:35 +01:00
parent 92820555da
commit f9258e43b9
96 changed files with 1316 additions and 1340 deletions
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29
tests/TestUtils.h
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@@ -4,20 +4,19 @@
#include <string>
#include <vector>
#include <map>
#include <tuple>
#include <std::tuple>
#include "ArffFiles.h"
#include "CPPFImdlp.h"
using namespace std;
bool file_exists(const std::string& name);
pair<vector<mdlp::labels_t>, map<string, int>> discretize(vector<mdlp::samples_t>& X, mdlp::labels_t& y, vector<string> features);
vector<mdlp::labels_t> discretizeDataset(vector<mdlp::samples_t>& X, mdlp::labels_t& y);
tuple<vector<vector<int>>, vector<int>, vector<string>, string, map<string, vector<int>>> loadFile(const string& name);
tuple<torch::Tensor, torch::Tensor, vector<string>, string, map<string, vector<int>>> loadDataset(const string& name, bool class_last, bool discretize_dataset);
bool file_exists(const std::std::string& name);
std::pair<vector<mdlp::labels_t>, map<std::string, int>> discretize(std::vector<mdlp::samples_t>& X, mdlp::labels_t& y, std::vector<string> features);
std::vector<mdlp::labels_t> discretizeDataset(std::vector<mdlp::samples_t>& X, mdlp::labels_t& y);
std::tuple<vector<vector<int>>, std::vector<int>, std::vector<string>, std::string, map<std::string, std::vector<int>>> loadFile(const std::string& name);
std::tuple<torch::Tensor, torch::Tensor, std::vector<string>, std::string, map<std::string, std::vector<int>>> loadDataset(const std::string& name, bool class_last, bool discretize_dataset);
class RawDatasets {
public:
RawDatasets(const string& file_name, bool discretize)
RawDatasets(const std::string& file_name, bool discretize)
{
// Xt can be either discretized or not
tie(Xt, yt, featurest, classNamet, statest) = loadDataset(file_name, true, discretize);
@@ -27,16 +26,16 @@ public:
dataset = torch::cat({ Xt, yresized }, 0);
nSamples = dataset.size(1);
weights = torch::full({ nSamples }, 1.0 / nSamples, torch::kDouble);
weightsv = vector<double>(nSamples, 1.0 / nSamples);
weightsv = std::vector<double>(nSamples, 1.0 / nSamples);
classNumStates = discretize ? statest.at(classNamet).size() : 0;
}
torch::Tensor Xt, yt, dataset, weights;
vector<vector<int>> Xv;
vector<double> weightsv;
vector<int> yv;
vector<string> featurest, featuresv;
map<string, vector<int>> statest, statesv;
string classNamet, classNamev;
std::vector<vector<int>> Xv;
std::vector<double> weightsv;
std::vector<int> yv;
std::vector<string> featurest, featuresv;
map<std::string, std::vector<int>> statest, statesv;
std::string classNamet, classNamev;
int nSamples, classNumStates;
double epsilon = 1e-5;
};