Rename BestResult to BestScore
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5fa0b957dd
commit
337b6f7e79
@ -1,7 +1,7 @@
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#ifndef BESTRESULT_H
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#define BESTRESULT_H
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#ifndef BESTSCORE_H
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#define BESTSCORE_H
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#include <string>
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class BestResult {
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class BestScore {
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public:
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static std::string title() { return "STree_default (linear-ovo)"; }
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static double score() { return 22.109799; }
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@ -8,6 +8,7 @@ include_directories(${BayesNet_SOURCE_DIR}/lib/libxlsxwriter/include)
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add_executable(main main.cc Folding.cc platformUtils.cc Experiment.cc Datasets.cc Models.cc ReportConsole.cc ReportBase.cc)
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add_executable(manage manage.cc Results.cc ReportConsole.cc ReportExcel.cc ReportBase.cc Datasets.cc platformUtils.cc)
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add_executable(list list.cc platformUtils Datasets.cc)
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add_executable(best list.cc platformUtils Datasets.cc)
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target_link_libraries(main BayesNet ArffFiles mdlp "${TORCH_LIBRARIES}")
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if (${CMAKE_HOST_SYSTEM_NAME} MATCHES "Linux")
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target_link_libraries(manage "${TORCH_LIBRARIES}" libxlsxwriter.so ArffFiles mdlp stdc++fs)
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@ -2,7 +2,7 @@
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#include <locale>
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#include "Datasets.h"
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#include "ReportBase.h"
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#include "BestResult.h"
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#include "BestScore.h"
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namespace platform {
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@ -1,7 +1,7 @@
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#include <sstream>
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#include <locale>
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#include "ReportConsole.h"
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#include "BestResult.h"
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#include "BestScore.h"
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namespace platform {
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@ -99,9 +99,9 @@ namespace platform {
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cout << Colors::MAGENTA() << string(MAXL, '*') << endl;
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showSummary();
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auto score = data["score_name"].get<string>();
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if (score == BestResult::scoreName()) {
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if (score == BestScore::scoreName()) {
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stringstream oss;
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oss << score << " compared to " << BestResult::title() << " .: " << totalScore / BestResult::score();
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oss << score << " compared to " << BestScore::title() << " .: " << totalScore / BestScore::score();
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cout << headerLine(oss.str());
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}
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if (!getExistBestFile() && compare) {
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@ -1,7 +1,7 @@
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#include <sstream>
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#include <locale>
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#include "ReportExcel.h"
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#include "BestResult.h"
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#include "BestScore.h"
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namespace platform {
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@ -322,9 +322,9 @@ namespace platform {
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showSummary();
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row += 4 + summary.size();
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auto score = data["score_name"].get<string>();
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if (score == BestResult::scoreName()) {
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worksheet_merge_range(worksheet, row, 1, row, 5, (score + " compared to " + BestResult::title() + " .:").c_str(), efectiveStyle("text"));
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writeDouble(row, 6, totalScore / BestResult::score(), "result");
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if (score == BestScore::scoreName()) {
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worksheet_merge_range(worksheet, row, 1, row, 5, (score + " compared to " + BestScore::title() + " .:").c_str(), efectiveStyle("text"));
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writeDouble(row, 6, totalScore / BestScore::score(), "result");
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}
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if (!getExistBestFile() && compare) {
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worksheet_write_string(worksheet, row + 1, 0, "*** Best Results File not found. Couldn't compare any result!", styles["summaryStyle"]);
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@ -3,7 +3,7 @@
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#include "Results.h"
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#include "ReportConsole.h"
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#include "ReportExcel.h"
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#include "BestResult.h"
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#include "BestScore.h"
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#include "Colors.h"
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namespace platform {
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Result::Result(const string& path, const string& filename)
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@ -17,8 +17,8 @@ namespace platform {
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score += result["score"].get<double>();
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}
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scoreName = data["score_name"];
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if (scoreName == BestResult::scoreName()) {
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score /= BestResult::score();
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if (scoreName == BestScore::scoreName()) {
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score /= BestScore::score();
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}
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title = data["title"];
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duration = data["duration"];
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52
src/Platform/best.cc
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52
src/Platform/best.cc
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@ -0,0 +1,52 @@
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#include <iostream>
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#include <argparse/argparse.hpp>
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#include "platformUtils.h"
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#include "Paths.h"
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#include "Results.h"
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using namespace std;
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argparse::ArgumentParser manageArguments(int argc, char** argv)
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{
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argparse::ArgumentParser program("best");
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program.add_argument("-n", "--number").default_value(0).help("Number of results to show (0 = all)").scan<'i', int>();
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program.add_argument("-m", "--model").default_value("any").help("Filter results of the selected model)");
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program.add_argument("-s", "--score").default_value("any").help("Filter results of the score name supplied");
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program.add_argument("--complete").help("Show only results with all datasets").default_value(false).implicit_value(true);
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program.add_argument("--partial").help("Show only partial results").default_value(false).implicit_value(true);
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program.add_argument("--compare").help("Compare with best results").default_value(false).implicit_value(true);
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try {
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program.parse_args(argc, argv);
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auto number = program.get<int>("number");
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if (number < 0) {
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throw runtime_error("Number of results must be greater than or equal to 0");
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}
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auto model = program.get<string>("model");
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auto score = program.get<string>("score");
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auto complete = program.get<bool>("complete");
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auto partial = program.get<bool>("partial");
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auto compare = program.get<bool>("compare");
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}
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catch (const exception& err) {
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cerr << err.what() << endl;
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cerr << program;
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exit(1);
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}
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return program;
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}
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int main(int argc, char** argv)
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{
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auto program = manageArguments(argc, argv);
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auto number = program.get<int>("number");
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auto model = program.get<string>("model");
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auto score = program.get<string>("score");
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auto complete = program.get<bool>("complete");
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auto partial = program.get<bool>("partial");
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auto compare = program.get<bool>("compare");
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if (complete)
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partial = false;
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auto results = platform::Results(platform::Paths::results(), number, model, score, complete, partial, compare);
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results.manage();
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return 0;
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}
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