Files
Platform/src/best/BestResultsMd.cpp

106 lines
4.8 KiB
C++

#include <iostream>
#include "BestResultsMd.h"
#include "common/Utils.h" // compute_std
namespace platform {
using json = nlohmann::ordered_json;
void BestResultsMd::openMdFile(const std::string& name)
{
handler.open(name);
if (!handler.is_open()) {
std::cerr << "Error opening file " << name << std::endl;
exit(1);
}
}
void BestResultsMd::results_header(const std::vector<std::string>& models, const std::string& date)
{
this->models = models;
auto file_name = Paths::tex() + Paths::md_output();
openMdFile(file_name);
handler << "<!-- This file has been generated by the platform program" << std::endl;
handler << " Date: " << date.c_str() << std::endl;
handler << "" << std::endl;
handler << " Table of results" << std::endl;
handler << "-->" << std::endl;
handler << "| # | Dataset |";
for (const auto& model : models) {
handler << " " << model.c_str() << " |";
}
handler << std::endl;
handler << "|--: | :--- |";
for (const auto& model : models) {
handler << " :---: |";
}
handler << std::endl;
}
void BestResultsMd::results_body(const std::vector<std::string>& datasets, json& table)
{
int i = 0;
for (auto const& dataset : datasets) {
// Find out max value for this dataset
double max_value = 0;
// Find out the max value for this dataset
for (const auto& model : models) {
double value;
try {
value = table[model].at(dataset).at(0).get<double>();
}
catch (nlohmann::json_abi_v3_11_3::detail::out_of_range err) {
value = -1.0;
}
if (value > max_value) {
max_value = value;
}
}
handler << "| " << ++i << " | " << dataset.c_str() << " | ";
for (const auto& model : models) {
double value = table[model].at(dataset).at(0).get<double>();
double std_value = table[model].at(dataset).at(3).get<double>();
const char* bold = value == max_value ? "**" : "";
handler << bold << std::setprecision(4) << std::fixed << value << "±" << std::setprecision(3) << std_value << bold << " | ";
}
handler << std::endl;
}
}
void BestResultsMd::results_footer(const std::map<std::string, std::vector<double>>& totals, const std::string& best_model)
{
handler << "| | **Average Score** | ";
int nDatasets = totals.begin()->second.size();
for (const auto& model : models) {
double value = std::reduce(totals.at(model).begin(), totals.at(model).end()) / nDatasets;
double std_value = compute_std(totals.at(model), value);
const char* bold = model == best_model ? "**" : "";
handler << bold << std::setprecision(4) << std::fixed << value << "±" << std::setprecision(3) << std::fixed << std_value << bold << " | ";
}
handler.close();
}
void BestResultsMd::postHoc_test(std::vector<PostHocLine>& postHocResults, const std::string& kind, const std::string& date)
{
auto file_name = Paths::tex() + Paths::md_post_hoc();
openMdFile(file_name);
handler << "<!-- This file has been generated by the platform program" << std::endl;
handler << " Date: " << date.c_str() << std::endl;
handler << std::endl;
handler << " Post-hoc handler test" << std::endl;
handler << "-->" << std::endl;
handler << "Post-hoc " << kind << " test: H<sub>0</sub>: There is no significant differences between the control model and the other models." << std::endl << std::endl;
handler << "| classifier | pvalue | rank | win | tie | loss | H<sub>0</sub> |" << std::endl;
handler << "| :-- | --: | --: | --:| --: | --: | :--: |" << std::endl;
bool first = true;
for (auto const& line : postHocResults) {
auto textStatus = !line.reject ? "**" : " ";
if (first) {
handler << "| " << line.model << " | - | " << std::fixed << std::setprecision(2) << line.rank << " | - | - | - |" << std::endl;
first = false;
} else {
handler << "| " << line.model << " | " << textStatus << std::scientific << std::setprecision(4) << line.pvalue << textStatus << " |";
handler << std::fixed << std::setprecision(2) << line.rank << " | " << line.wtl.win << " | " << line.wtl.tie << " | " << line.wtl.loss << " |";
handler << (line.reject ? "rejected" : "**accepted**") << " |" << std::endl;
}
}
handler << std::endl;
handler.close();
}
}