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list_results #3

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rmontanana merged 8 commits from list_results into main 2024-03-11 08:54:02 +00:00
Conversation 0 Commits 8 Files Changed 70 +582 -244
70 changed files with 582 additions and 244 deletions
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6
.clang-uml
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@@ -4,8 +4,8 @@ diagrams:
Platform:
type: class
glob:
- src/*.cc
- src/modules/*.cc
- src/*.cpp
- src/modules/*.cpp
using_namespace: platform
include:
namespaces:
@@ -17,7 +17,7 @@ diagrams:
sequence:
type: sequence
glob:
- src/b_main.cc
- src/b_main.cpp
combine_free_functions_into_file_participants: true
using_namespace:
- std

2
CMakeLists.txt
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@@ -85,7 +85,7 @@ add_subdirectory(lib/Files)
add_subdirectory(config)
add_subdirectory(src)
add_subdirectory(sample)
file(GLOB Platform_SOURCES CONFIGURE_DEPENDS ${Platform_SOURCE_DIR}/src/*.cc)
file(GLOB Platform_SOURCES CONFIGURE_DEPENDS ${Platform_SOURCE_DIR}/src/*.cpp)
# Testing
# -------

4
Doxyfile
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@@ -976,7 +976,7 @@ INPUT_FILE_ENCODING =
# Note the list of default checked file patterns might differ from the list of
# default file extension mappings.
#
# If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cpp,
# If left blank the following patterns are tested:*.c, *.cpp, *.cxx, *.cpp,
# *.c++, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h,
# *.hh, *.hxx, *.hpp, *.h++, *.l, *.cs, *.d, *.php, *.php4, *.php5, *.phtml,
# *.inc, *.m, *.markdown, *.md, *.mm, *.dox (to be provided as doxygen C
@@ -984,7 +984,7 @@ INPUT_FILE_ENCODING =
# *.vhdl, *.ucf, *.qsf and *.ice.
FILE_PATTERNS = *.c \
*.cc \
*.cpp \
*.cxx \
*.cpp \
*.c++ \

10
Makefile
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@@ -96,6 +96,14 @@ test: ## Run tests (opt="-s") to verbose output the tests, (opt="-c='Test Maximu
done
@echo ">>> Done";
fname = iris
example: ## Build sample
@echo ">>> Building Sample...";
@cmake --build build_debug -t sample
build_debug/sample/PlatformSample --model BoostAODE --dataset $(fname) --discretize --stratified
@echo ">>> Done";
coverage: ## Run tests and generate coverage report (build/index.html)
@echo ">>> Building tests with coverage..."
@$(MAKE) test
@@ -105,7 +113,7 @@ coverage: ## Run tests and generate coverage report (build/index.html)
help: ## Show help message
@IFS=$$'\n' ; \
help_lines=(`fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \
help_lines=(`grep -Fh "##" $(MAKEFILE_LIST) | grep -Fv fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \
printf "%s\n\n" "Usage: make [task]"; \
printf "%-20s %s\n" "task" "help" ; \
printf "%-20s %s\n" "------" "----" ; \

2
sample/CMakeLists.txt
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@@ -10,5 +10,5 @@ include_directories(
${CMAKE_BINARY_DIR}/configured_files/include
/usr/local/include
)
add_executable(PlatformSample sample.cc ${Platform_SOURCE_DIR}/src/main/Models.cc)
add_executable(PlatformSample sample.cpp ${Platform_SOURCE_DIR}/src/main/Models.cpp)
target_link_libraries(PlatformSample "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)

4
sample/sample.cc → sample/sample.cpp
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@@ -85,13 +85,13 @@ int main(int argc, char** argv)
.default_value(std::string{ PATH }
);
program.add_argument("-m", "--model")
.help("Model to use " + platform::Models::instance()->tostring())
.help("Model to use " + platform::Models::instance()->toString())
.action([](const std::string& value) {
static const std::vector<std::string> choices = platform::Models::instance()->getNames();
if (find(choices.begin(), choices.end(), value) != choices.end()) {
return value;
}
throw runtime_error("Model must be one of " + platform::Models::instance()->tostring());
throw runtime_error("Model must be one of " + platform::Models::instance()->toString());
}
);
program.add_argument("--discretize").help("Discretize input dataset").default_value(false).implicit_value(true);

45
src/CMakeLists.txt
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@@ -16,37 +16,52 @@ include_directories(
)
# b_best
set(best_sources b_best.cc BestResults.cc Statistics.cc BestResultsExcel.cc)
set(best_sources b_best.cpp BestResults.cpp Statistics.cpp BestResultsExcel.cpp)
list(TRANSFORM best_sources PREPEND best/)
add_executable(
b_best ${best_sources} main/Result.cc
reports/ReportExcel.cc reports/ReportBase.cc reports/ExcelFile.cc common/Datasets.cc common/Dataset.cc)
target_link_libraries(b_best Boost::boost "${TORCH_LIBRARIES}" "${XLSXWRITER_LIB}" ArffFiles mdlp)
b_best ${best_sources}
common/Datasets.cpp common/Dataset.cpp
main/Result.cpp main/Models.cpp
reports/ReportExcel.cpp reports/ReportBase.cpp reports/ExcelFile.cpp
)
target_link_libraries(b_best Boost::boost "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy "${XLSXWRITER_LIB}")
# b_grid
set(grid_sources b_grid.cc GridSearch.cc GridData.cc)
set(grid_sources b_grid.cpp GridSearch.cpp GridData.cpp)
list(TRANSFORM grid_sources PREPEND grid/)
add_executable(b_grid ${grid_sources} main/HyperParameters.cc main/Models.cc common/Datasets.cc common/Dataset.cc)
add_executable(b_grid ${grid_sources}
common/Datasets.cpp common/Dataset.cpp
main/HyperParameters.cpp main/Models.cpp
)
target_link_libraries(b_grid ${MPI_CXX_LIBRARIES} "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
# b_list
set(list_sources b_list.cc DatasetsExcel.cc)
set(list_sources b_list.cpp DatasetsExcel.cpp ResultsDataset.cpp ResultsDatasetExcel.cpp)
list(TRANSFORM list_sources PREPEND list/)
add_executable(b_list ${list_sources} common/Datasets.cc common/Dataset.cc reports/ReportExcel.cc reports/ExcelFile.cc reports/ReportBase.cc)
target_link_libraries(b_list "${TORCH_LIBRARIES}" "${XLSXWRITER_LIB}" ArffFiles mdlp)
add_executable(b_list ${list_sources}
common/Datasets.cpp common/Dataset.cpp
main/Models.cpp
reports/ReportExcel.cpp reports/ExcelFile.cpp reports/ReportBase.cpp main/Result.cpp
)
target_link_libraries(b_list "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy "${XLSXWRITER_LIB}")
# b_main
set(main_sources b_main.cc Experiment.cc Models.cc HyperParameters.cc)
set(main_sources b_main.cpp Experiment.cpp Models.cpp HyperParameters.cpp)
list(TRANSFORM main_sources PREPEND main/)
add_executable(b_main ${main_sources} common/Datasets.cc common/Dataset.cc reports/ReportConsole.cc reports/ReportBase.cc main/Result.cc)
add_executable(b_main ${main_sources}
common/Datasets.cpp common/Dataset.cpp
main/Result.cpp
reports/ReportConsole.cpp reports/ReportBase.cpp
)
target_link_libraries(b_main "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
# b_manage
set(manage_sources b_manage.cc ManageResults.cc CommandParser.cc Results.cc)
set(manage_sources b_manage.cpp ManageResults.cpp CommandParser.cpp ResultsManager.cpp)
list(TRANSFORM manage_sources PREPEND manage/)
add_executable(
b_manage ${manage_sources} main/Result.cc
reports/ReportConsole.cc reports/ReportExcel.cc reports/ReportExcelCompared.cc reports/ReportBase.cc reports/ExcelFile.cc
common/Datasets.cc common/Dataset.cc
b_manage ${manage_sources}
common/Datasets.cpp common/Dataset.cpp
main/Result.cpp
reports/ReportConsole.cpp reports/ReportExcel.cpp reports/ReportExcelCompared.cpp reports/ReportBase.cpp reports/ExcelFile.cpp
)
target_link_libraries(b_manage "${TORCH_LIBRARIES}" "${XLSXWRITER_LIB}" ArffFiles mdlp)

4
src/best/BestResults.cc → src/best/BestResults.cpp
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@@ -170,10 +170,9 @@ namespace platform {
std::cout << Colors::GREEN() << " # " << std::setw(maxDatasetName + 1) << std::left << "Dataset" << "Score " << std::setw(maxFileName) << "File" << " Hyperparameters" << std::endl;
std::cout << "=== " << std::string(maxDatasetName, '=') << " =========== " << std::string(maxFileName, '=') << " " << std::string(maxHyper, '=') << std::endl;
auto i = 0;
bool odd = true;
double total = 0;
for (auto const& item : data.items()) {
auto color = odd ? Colors::BLUE() : Colors::CYAN();
auto color = (i % 2) ? Colors::BLUE() : Colors::CYAN();
double value = item.value().at(0).get<double>();
std::cout << color << std::setw(3) << std::fixed << std::right << i++ << " ";
std::cout << std::setw(maxDatasetName) << std::left << item.key() << " ";
@@ -182,7 +181,6 @@ namespace platform {
std::cout << item.value().at(1) << " ";
std::cout << std::endl;
total += value;
odd = !odd;
}
std::cout << Colors::GREEN() << "=== " << std::string(maxDatasetName, '=') << " ===========" << std::endl;
std::cout << Colors::GREEN() << " Total" << std::string(maxDatasetName - 5, '.') << " " << std::setw(11) << std::setprecision(8) << std::fixed << total << std::endl;

5
src/best/BestResults.h
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@@ -1,5 +1,5 @@
#ifndef BESTRESULTS_H
#define BESTRESULTS_H
#pragma once
#include <string>
#include <nlohmann/json.hpp>
using json = nlohmann::json;
@@ -34,4 +34,3 @@ namespace platform {
int maxDatasetName = 0;
};
}
#endif //BESTRESULTS_H

0
src/best/BestResultsExcel.cc → src/best/BestResultsExcel.cpp
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5
src/best/BestResultsExcel.h
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@@ -1,5 +1,5 @@
#ifndef BESTRESULTS_EXCEL_H
#define BESTRESULTS_EXCEL_H
#pragma once
#include <vector>
#include <map>
#include <nlohmann/json.hpp>
@@ -34,4 +34,3 @@ namespace platform {
int datasetNameSize = 25; // Min size of the column
};
}
#endif //BESTRESULTS_EXCEL_H

6
src/best/BestScore.h
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@@ -1,5 +1,5 @@
#ifndef BESTSCORE_H
#define BESTSCORE_H
#pragma once
#include <string>
#include <map>
#include <utility>
@@ -24,5 +24,3 @@ namespace platform {
}
};
}
#endif

0
src/best/Statistics.cc → src/best/Statistics.cpp
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5
src/best/Statistics.h
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@@ -1,5 +1,5 @@
#ifndef STATISTICS_H
#define STATISTICS_H
#pragma once
#include <iostream>
#include <vector>
#include <map>
@@ -60,4 +60,3 @@ namespace platform {
std::map<std::string, std::map<std::string, float>> ranksModels;
};
}
#endif // !STATISTICS_H

15
src/best/b_best.cc → src/best/b_best.cpp
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@@ -1,5 +1,7 @@
#include <iostream>
#include <argparse/argparse.hpp>
#include "main/Models.h"
#include "main/modelRegister.h"
#include "common/Paths.h"
#include "common/Colors.h"
#include "BestResults.h"
@@ -7,7 +9,18 @@
void manageArguments(argparse::ArgumentParser& program)
{
program.add_argument("-m", "--model").default_value("").help("Filter results of the selected model) (any for all models)");
program.add_argument("-m", "--model")
.help("Model to use: " + platform::Models::instance()->toString() + " or any")
.action([](const std::string& value) {
std::vector<std::string> valid(platform::Models::instance()->getNames());
valid.push_back("any");
static const std::vector<std::string> choices = valid;
if (find(choices.begin(), choices.end(), value) != choices.end()) {
return value;
}
throw std::runtime_error("Model must be one of " + platform::Models::instance()->toString() + " or any");
}
);
program.add_argument("-d", "--dataset").default_value("any").help("Filter results of the selected model) (any for all datasets)");
program.add_argument("-s", "--score").default_value("accuracy").help("Filter results of the score name supplied");
program.add_argument("--friedman").help("Friedman test").default_value(false).implicit_value(true);

5
src/common/CLocale.h
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@@ -1,5 +1,5 @@
#ifndef LOCALE_H
#define LOCALE_H
#pragma once
#include <locale>
#include <iostream>
#include <string>
@@ -19,4 +19,3 @@ namespace platform {
}
};
}
#endif

5
src/common/Colors.h
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@@ -1,5 +1,5 @@
#ifndef COLORS_H
#define COLORS_H
#pragma once
#include <string>
class Colors {
public:
@@ -13,4 +13,3 @@ public:
static std::string IBLUE() { return "\033[0;94m"; }
static std::string RESET() { return "\033[0m"; }
};
#endif // COLORS_H

0
src/common/Dataset.cc → src/common/Dataset.cpp
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5
src/common/Dataset.h
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@@ -1,5 +1,5 @@
#ifndef DATASET_H
#define DATASET_H
#pragma once
#include <torch/torch.h>
#include <map>
#include <vector>
@@ -75,4 +75,3 @@ namespace platform {
};
};
#endif

10
src/common/Datasets.cc → src/common/Datasets.cpp
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@@ -126,4 +126,14 @@ namespace platform {
{
return datasets.find(name) != datasets.end();
}
std::string Datasets::toString() const
{
std::string result;
std::string sep = "";
for (const auto& d : datasets) {
result += sep + d.first;
sep = ", ";
}
return "{" + result + "}";
}
}

7
src/common/Datasets.h
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@@ -1,5 +1,5 @@
#ifndef DATASETS_H
#define DATASETS_H
#pragma once
#include "Dataset.h"
namespace platform {
class Datasets {
@@ -24,7 +24,6 @@ namespace platform {
std::pair<torch::Tensor&, torch::Tensor&> getTensors(const std::string& name);
bool isDataset(const std::string& name) const;
void loadDataset(const std::string& name) const;
std::string toString() const;
};
};
#endif

5
src/common/DotEnv.h
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@@ -1,5 +1,5 @@
#ifndef DOTENV_H
#define DOTENV_H
#pragma once
#include <string>
#include <map>
#include <fstream>
@@ -52,4 +52,3 @@ namespace platform {
}
};
}
#endif

5
src/common/Paths.h
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@@ -1,5 +1,5 @@
#ifndef PATHS_H
#define PATHS_H
#pragma once
#include <string>
#include <filesystem>
#include "DotEnv.h"
@@ -36,4 +36,3 @@ namespace platform {
}
};
}
#endif

5
src/common/Symbols.h
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@@ -1,5 +1,5 @@
#ifndef SYMBOLS_H
#define SYMBOLS_H
#pragma once
#include <string>
namespace platform {
class Symbols {
@@ -15,4 +15,3 @@ namespace platform {
inline static const std::string notebook{ "\U0001F5C8" };
};
}
#endif // !SYMBOLS_H

5
src/common/Timer.h
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@@ -1,5 +1,5 @@
#ifndef TIMER_H
#define TIMER_H
#pragma once
#include <chrono>
#include <string>
#include <sstream>
@@ -40,4 +40,3 @@ namespace platform {
}
};
} /* namespace platform */
#endif /* TIMER_H */

5
src/common/Utils.h
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@@ -1,5 +1,5 @@
#ifndef UTILS_H
#define UTILS_H
#pragma once
#include <sstream>
#include <string>
#include <vector>
@@ -27,4 +27,3 @@ namespace platform {
return result;
}
}
#endif

0
src/grid/GridData.cc → src/grid/GridData.cpp
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5
src/grid/GridData.h
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@@ -1,5 +1,5 @@
#ifndef GRIDDATA_H
#define GRIDDATA_H
#pragma once
#include <string>
#include <vector>
#include <map>
@@ -23,4 +23,3 @@ namespace platform {
std::map<std::string, json> grid;
};
} /* namespace platform */
#endif /* GRIDDATA_H */

0
src/grid/GridSearch.cc → src/grid/GridSearch.cpp
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5
src/grid/GridSearch.h
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@@ -1,5 +1,5 @@
#ifndef GRIDSEARCH_H
#define GRIDSEARCH_H
#pragma once
#include <string>
#include <map>
#include <mpi.h>
@@ -57,4 +57,3 @@ namespace platform {
Timer timer; // used to measure the time of the whole process
};
} /* namespace platform */
#endif /* GRIDSEARCH_H */

6
src/grid/b_grid.cc → src/grid/b_grid.cpp
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@@ -20,14 +20,14 @@ void assignModel(argparse::ArgumentParser& parser)
{
auto models = platform::Models::instance();
parser.add_argument("-m", "--model")
.help("Model to use " + models->tostring())
.help("Model to use " + models->toString())
.required()
.action([models](const std::string& value) {
static const std::vector<std::string> choices = models->getNames();
if (find(choices.begin(), choices.end(), value) != choices.end()) {
return value;
}
throw std::runtime_error("Model must be one of " + models->tostring());
throw std::runtime_error("Model must be one of " + models->toString());
}
);
}
@@ -259,7 +259,7 @@ int main(int argc, char** argv)
}
}
if (!found) {
throw std::runtime_error("You must specify one of the following commands: dump, report, compute, export\n");
throw std::runtime_error("You must specify one of the following commands: dump, report, compute\n");
}
}
catch (const exception& err) {

3
src/list/DatasetsExcel.cc → src/list/DatasetsExcel.cpp
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@@ -1,8 +1,5 @@
#include <sstream>
#include "common/Paths.h"
#include "DatasetsExcel.h"
namespace platform {
DatasetsExcel::DatasetsExcel()
{

7
src/list/DatasetsExcel.h
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@@ -1,7 +1,5 @@
#ifndef DATASETS_EXCEL_H
#define DATASETS_EXCEL_H
#include <vector>
#include <map>
#pragma once
#include <nlohmann/json.hpp>
#include "reports/ExcelFile.h"
@@ -16,4 +14,3 @@ namespace platform {
void report(json& data);
};
}
#endif //DATASETS_EXCEL_H

57
src/list/ResultsDataset.cpp Normal file
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@@ -0,0 +1,57 @@
#include <algorithm>
#include "common/Paths.h"
#include "ResultsDataset.h"
namespace platform {
ResultsDataset::ResultsDataset(const std::string& dataset, const std::string& model, const std::string& score) :
path(Paths::results()), dataset(dataset), model(model), scoreName(score), maxModel(0), maxFile(0), maxHyper(15), maxResult(0)
{
}
void ResultsDataset::load()
{
using std::filesystem::directory_iterator;
for (const auto& file : directory_iterator(path)) {
auto filename = file.path().filename().string();
if (filename.find(".json") != std::string::npos && filename.find("results_") == 0) {
auto result = Result();
result.load(path, filename);
if (model != "any" && result.getModel() != model)
continue;
auto data = result.getData()["results"];
for (auto const& item : data) {
if (item["dataset"] == dataset) {
auto hyper_length = item["hyperparameters"].dump().size();
if (hyper_length > maxHyper)
maxHyper = hyper_length;
if (item["score"].get<double>() > maxResult)
maxResult = item["score"].get<double>();
files.push_back(result);
break;
}
}
}
}
maxModel = std::max(size_t(5), (*max_element(files.begin(), files.end(), [](const Result& a, const Result& b) { return a.getModel().size() < b.getModel().size(); })).getModel().size());
maxFile = std::max(size_t(4), (*max_element(files.begin(), files.end(), [](const Result& a, const Result& b) { return a.getFilename().size() < b.getFilename().size(); })).getFilename().size());
}
int ResultsDataset::size() const
{
return files.size();
}
void ResultsDataset::sortModel()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
if (a.getModel() == b.getModel()) {
if (a.getDate() == b.getDate()) {
return a.getTime() > b.getTime();
}
return a.getDate() > b.getDate();
}
return a.getModel() < b.getModel();
});
}
bool ResultsDataset::empty() const
{
return files.empty();
}
}

34
src/list/ResultsDataset.h Normal file
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@@ -0,0 +1,34 @@
#pragma once
#include <vector>
#include <string>
#include <nlohmann/json.hpp>
#include "main/Result.h"
namespace platform {
using json = nlohmann::json;
class ResultsDataset {
public:
ResultsDataset(const std::string& dataset, const std::string& model, const std::string& score);
void load(); // Loads the list of results
void sortModel();
int maxModelSize() const { return maxModel; };
int maxFileSize() const { return maxFile; };
int maxHyperSize() const { return maxHyper; };
double maxResultScore() const { return maxResult; };
int size() const;
bool empty() const;
std::vector<Result>::iterator begin() { return files.begin(); };
std::vector<Result>::iterator end() { return files.end(); };
Result& at(int index) { return files.at(index); };
private:
std::string path;
std::string dataset;
std::string model;
std::string scoreName;
int maxModel;
int maxFile;
int maxHyper;
double maxResult;
std::vector<Result> files;
};
};

49
src/list/ResultsDatasetExcel.cpp Normal file
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@@ -0,0 +1,49 @@
#include "ResultsDatasetExcel.h"
#include <iostream>
namespace platform {
ResultsDatasetExcel::ResultsDatasetExcel()
{
file_name = "some_results.xlsx";
workbook = workbook_new(getFileName().c_str());
createFormats();
setProperties("Results");
}
ResultsDatasetExcel::~ResultsDatasetExcel()
{
workbook_close(workbook);
}
void ResultsDatasetExcel::report(json& data)
{
worksheet = workbook_add_worksheet(workbook, data["dataset"].get<std::string>().c_str());
// Header
std::string title = "Results of dataset " + data["dataset"].get<std::string>() + " - for " + data["model"].get<std::string>() + " model";
worksheet_merge_range(worksheet, 0, 0, 0, 5, title.c_str(), styles["headerFirst"]);
// Body header
row = 2;
int col = 0;
for (const auto& name : { "Nº", "Model", "Date", "Time", "Score", "Hyperparameters" }) {
writeString(row, col++, name, "bodyHeader");
}
// Body
double maxResult = data["maxResult"].get<double>();
for (const auto& item : data["results"]) {
row++;
col = 0;
std::string style = item["score"] == data["maxResult"] ? "_bold" : "";
writeInt(row, col++, row - 3, "ints" + style);
writeString(row, col++, item["model"], "text" + style);
writeString(row, col++, item["date"], "text" + style);
writeString(row, col++, item["time"], "text" + style);
writeDouble(row, col++, item["score"], "result" + style);
writeString(row, col++, item["hyperparameters"].get<std::string>().c_str(), "text" + style);
}
// Format columns
worksheet_freeze_panes(worksheet, 3, 2);
auto modelSize = data["maxModel"].get<int>();
auto hyperSize = data["maxHyper"].get<int>();
std::vector<int> columns_sizes = { 5, modelSize + 3, 12, 9, 11, hyperSize + 10 };
for (int i = 0; i < columns_sizes.size(); ++i) {
worksheet_set_column(worksheet, i, i, columns_sizes.at(i), NULL);
}
}
}

16
src/list/ResultsDatasetExcel.h Normal file
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@@ -0,0 +1,16 @@
#pragma once
#include <nlohmann/json.hpp>
#include "reports/ExcelFile.h"
using json = nlohmann::json;
namespace platform {
class ResultsDatasetExcel : public ExcelFile {
public:
ResultsDatasetExcel();
~ResultsDatasetExcel();
void report(json& data);
};
}

80
src/list/b_list.cc
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@@ -1,80 +0,0 @@
#include <iostream>
#include <locale>
#include <argparse/argparse.hpp>
#include <nlohmann/json.hpp>
#include "common/Paths.h"
#include "common/Colors.h"
#include "common/Datasets.h"
#include "DatasetsExcel.h"
#include "config.h"
const int BALANCE_LENGTH = 75;
struct separated : numpunct<char> {
char do_decimal_point() const { return ','; }
char do_thousands_sep() const { return '.'; }
std::string do_grouping() const { return "\03"; }
};
std::string outputBalance(const std::string& balance)
{
auto temp = std::string(balance);
while (temp.size() > BALANCE_LENGTH - 1) {
auto part = temp.substr(0, BALANCE_LENGTH);
std::cout << part << std::endl;
std::cout << setw(52) << " ";
temp = temp.substr(BALANCE_LENGTH);
}
return temp;
}
int main(int argc, char** argv)
{
auto datasets = platform::Datasets(false, platform::Paths::datasets());
argparse::ArgumentParser program("b_list", { platform_project_version.begin(), platform_project_version.end() });
program.add_argument("--excel")
.help("Output in Excel format")
.default_value(false)
.implicit_value(true);
program.parse_args(argc, argv);
auto excel = program.get<bool>("--excel");
locale mylocale(std::cout.getloc(), new separated);
locale::global(mylocale);
std::cout.imbue(mylocale);
std::cout << Colors::GREEN() << " # Dataset Sampl. Feat. Cls Balance" << std::endl;
std::string balanceBars = std::string(BALANCE_LENGTH, '=');
std::cout << "=== ============================== ====== ===== === " << balanceBars << std::endl;
int num = 0;
json data;
for (const auto& dataset : datasets.getNames()) {
auto color = num % 2 ? Colors::CYAN() : Colors::BLUE();
std::cout << color << setw(3) << right << num++ << " ";
std::cout << setw(30) << left << dataset << " ";
datasets.loadDataset(dataset);
auto nSamples = datasets.getNSamples(dataset);
std::cout << setw(6) << right << nSamples << " ";
std::cout << setw(5) << right << datasets.getFeatures(dataset).size() << " ";
std::cout << setw(3) << right << datasets.getNClasses(dataset) << " ";
std::stringstream oss;
std::string sep = "";
for (auto number : datasets.getClassesCounts(dataset)) {
oss << sep << std::setprecision(2) << fixed << (float)number / nSamples * 100.0 << "% (" << number << ")";
sep = " / ";
}
auto balance = outputBalance(oss.str());
std::cout << balance << std::endl;
// Store data for Excel report
data[dataset] = json::object();
data[dataset]["samples"] = nSamples;
data[dataset]["features"] = datasets.getFeatures(dataset).size();
data[dataset]["classes"] = datasets.getNClasses(dataset);
data[dataset]["balance"] = oss.str();
}
std::cout << Colors::RESET() << std::endl;
if (excel) {
auto report = platform::DatasetsExcel();
report.report(data);
std::cout << "Output saved in " << report.getFileName() << std::endl;
}
return 0;
}

211
src/list/b_list.cpp Normal file
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@@ -0,0 +1,211 @@
#include <iostream>
#include <locale>
#include <map>
#include <argparse/argparse.hpp>
#include <nlohmann/json.hpp>
#include "main/Models.h"
#include "main/modelRegister.h"
#include "common/Paths.h"
#include "common/Colors.h"
#include "common/Datasets.h"
#include "DatasetsExcel.h"
#include "ResultsDataset.h"
#include "ResultsDatasetExcel.h"
#include "config.h"
const int BALANCE_LENGTH = 75;
struct separated : numpunct<char> {
char do_decimal_point() const { return ','; }
char do_thousands_sep() const { return '.'; }
std::string do_grouping() const { return "\03"; }
};
std::string outputBalance(const std::string& balance)
{
auto temp = std::string(balance);
while (temp.size() > BALANCE_LENGTH - 1) {
auto part = temp.substr(0, BALANCE_LENGTH);
std::cout << part << std::endl;
std::cout << setw(52) << " ";
temp = temp.substr(BALANCE_LENGTH);
}
return temp;
}
void list_datasets(argparse::ArgumentParser& program)
{
auto datasets = platform::Datasets(false, platform::Paths::datasets());
auto excel = program.get<bool>("excel");
locale mylocale(std::cout.getloc(), new separated);
locale::global(mylocale);
std::cout.imbue(mylocale);
std::cout << Colors::GREEN() << " # Dataset Sampl. Feat. Cls Balance" << std::endl;
std::string balanceBars = std::string(BALANCE_LENGTH, '=');
std::cout << "=== ============================== ====== ===== === " << balanceBars << std::endl;
int num = 0;
json data;
for (const auto& dataset : datasets.getNames()) {
auto color = num % 2 ? Colors::CYAN() : Colors::BLUE();
std::cout << color << setw(3) << right << num++ << " ";
std::cout << setw(30) << left << dataset << " ";
datasets.loadDataset(dataset);
auto nSamples = datasets.getNSamples(dataset);
std::cout << setw(6) << right << nSamples << " ";
std::cout << setw(5) << right << datasets.getFeatures(dataset).size() << " ";
std::cout << setw(3) << right << datasets.getNClasses(dataset) << " ";
std::stringstream oss;
std::string sep = "";
for (auto number : datasets.getClassesCounts(dataset)) {
oss << sep << std::setprecision(2) << fixed << (float)number / nSamples * 100.0 << "% (" << number << ")";
sep = " / ";
}
auto balance = outputBalance(oss.str());
std::cout << balance << std::endl;
// Store data for Excel report
data[dataset] = json::object();
data[dataset]["samples"] = nSamples;
data[dataset]["features"] = datasets.getFeatures(dataset).size();
data[dataset]["classes"] = datasets.getNClasses(dataset);
data[dataset]["balance"] = oss.str();
}
if (excel) {
auto report = platform::DatasetsExcel();
report.report(data);
std::cout << std::endl << Colors::GREEN() << "Output saved in " << report.getFileName() << std::endl;
}
}
void list_results(argparse::ArgumentParser& program)
{
auto dataset = program.get<string>("dataset");
auto score = program.get<string>("score");
auto model = program.get<string>("model");
auto excel = program.get<bool>("excel");
auto results = platform::ResultsDataset(dataset, model, score);
results.load();
results.sortModel();
if (results.empty()) {
std::cerr << Colors::RED() << "No results found for dataset " << dataset << " and model " << model << Colors::RESET() << std::endl;
exit(1);
}
//
// List data
//
int maxModel = results.maxModelSize();
int maxHyper = results.maxHyperSize();
double maxResult = results.maxResultScore();
std::cout << Colors::GREEN() << "Results of dataset " << dataset << " - for " << model << " model" << std::endl;
std::cout << "There are " << results.size() << " results" << std::endl;
std::cout << Colors::GREEN() << " # " << std::setw(maxModel + 1) << std::left << "Model" << "Date Time Score Hyperparameters" << std::endl;
std::cout << "=== " << std::string(maxModel, '=') << " ========== ======== =========== " << std::string(maxHyper, '=') << std::endl;
auto i = 0;
json data = json::object();
data["results"] = json::array();
for (const auto& result : results) {
auto results = result.getData();
for (const auto& item : results["results"]) {
if (item["dataset"] == dataset) {
auto color = (i % 2) ? Colors::BLUE() : Colors::CYAN();
color = item["score"].get<double>() == maxResult ? Colors::RED() : color;
std::cout << color << std::setw(3) << std::fixed << std::right << i++ << " ";
std::cout << std::setw(maxModel) << std::left << result.getModel() << " ";
std::cout << color << result.getDate() << " ";
std::cout << color << result.getTime() << " ";
std::cout << std::setw(11) << std::setprecision(9) << std::fixed << item["score"].get<double>() << " ";
std::cout << item["hyperparameters"].dump() << std::endl;
// Store data for Excel report
json res = json::object();
res["date"] = result.getDate();
res["time"] = result.getTime();
res["model"] = result.getModel();
res["score"] = item["score"].get<double>();
res["hyperparameters"] = item["hyperparameters"].dump();
data["results"].push_back(res);
break;
}
}
}
if (excel) {
data["dataset"] = dataset;
data["score"] = score;
data["model"] = model;
data["maxModel"] = maxModel;
data["maxHyper"] = maxHyper;
data["maxResult"] = maxResult;
auto report = platform::ResultsDatasetExcel();
report.report(data);
std::cout << std::endl << Colors::GREEN() << "Output saved in " << report.getFileName() << std::endl;
}
}
int main(int argc, char** argv)
{
argparse::ArgumentParser program("b_list", { platform_project_version.begin(), platform_project_version.end() });
//
// datasets subparser
//
argparse::ArgumentParser datasets_command("datasets");
datasets_command.add_description("List datasets available in the platform.");
datasets_command.add_argument("--excel").help("Output in Excel format").default_value(false).implicit_value(true);
//
// results subparser
//
argparse::ArgumentParser results_command("results");
results_command.add_description("List the results of a given dataset.");
auto datasets = platform::Datasets(false, platform::Paths::datasets());
results_command.add_argument("-d", "--dataset")
.help("Dataset to use " + datasets.toString())
.required()
.action([](const std::string& value) {
auto datasets = platform::Datasets(false, platform::Paths::datasets());
static const std::vector<std::string> choices = datasets.getNames();
if (find(choices.begin(), choices.end(), value) != choices.end()) {
return value;
}
throw std::runtime_error("Dataset must be one of " + datasets.toString());
}
);
results_command.add_argument("-m", "--model")
.help("Model to use: " + platform::Models::instance()->toString() + " or any")
.default_value("any")
.action([](const std::string& value) {
std::vector<std::string> valid(platform::Models::instance()->getNames());
valid.push_back("any");
static const std::vector<std::string> choices = valid;
if (find(choices.begin(), choices.end(), value) != choices.end()) {
return value;
}
throw std::runtime_error("Model must be one of " + platform::Models::instance()->toString() + " or any");
}
);
results_command.add_argument("--excel").help("Output in Excel format").default_value(false).implicit_value(true);
results_command.add_argument("-s", "--score").default_value("accuracy").help("Filter results of the score name supplied");
// Add subparsers
program.add_subparser(datasets_command);
program.add_subparser(results_command);
// Parse command line and execute
try {
program.parse_args(argc, argv);
bool found = false;
map<std::string, void(*)(argparse::ArgumentParser&)> commands = { {"datasets", &list_datasets}, {"results", &list_results} };
for (const auto& command : commands) {
if (program.is_subcommand_used(command.first)) {
std::invoke(command.second, program.at<argparse::ArgumentParser>(command.first));
found = true;
break;
}
}
if (!found) {
throw std::runtime_error("You must specify one of the following commands: datasets, results\n");
}
}
catch (const exception& err) {
cerr << err.what() << std::endl;
cerr << program;
exit(1);
}
std::cout << Colors::RESET() << std::endl;
return 0;
}

0
src/main/Experiment.cc → src/main/Experiment.cpp
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7
src/main/Experiment.h
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@@ -1,5 +1,5 @@
#ifndef EXPERIMENT_H
#define EXPERIMENT_H
#pragma once
#include <torch/torch.h>
#include <nlohmann/json.hpp>
#include <string>
@@ -42,5 +42,4 @@ namespace platform {
int nfolds{ 0 };
int max_name{ 7 }; // max length of dataset name for formatting (default 7)
};
}
#endif
}

0
src/main/HyperParameters.cc → src/main/HyperParameters.cpp
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5
src/main/HyperParameters.h
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@@ -1,5 +1,5 @@
#ifndef HYPERPARAMETERS_H
#define HYPERPARAMETERS_H
#pragma once
#include <string>
#include <map>
#include <vector>
@@ -20,4 +20,3 @@ namespace platform {
std::map<std::string, json> hyperparameters;
};
} /* namespace platform */
#endif /* HYPERPARAMETERS_H */

8
src/main/Models.cc → src/main/Models.cpp
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@@ -36,13 +36,15 @@ namespace platform {
[](const pair<std::string, function<bayesnet::BaseClassifier* (void)>>& pair) { return pair.first; });
return names;
}
std::string Models::tostring()
std::string Models::toString()
{
std::string result = "";
std::string sep = "";
for (const auto& pair : functionRegistry) {
result += pair.first + ", ";
result += sep + pair.first;
sep = ", ";
}
return "{" + result.substr(0, result.size() - 2) + "}";
return "{" + result + "}";
}
Registrar::Registrar(const std::string& name, function<bayesnet::BaseClassifier* (void)> classFactoryFunction)
{

7
src/main/Models.h
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@@ -1,5 +1,5 @@
#ifndef MODELS_H
#define MODELS_H
#pragma once
#include <map>
#include <bayesnet/BaseClassifier.h>
#include <bayesnet/ensembles/AODE.h>
@@ -31,7 +31,7 @@ namespace platform {
void registerFactoryFunction(const std::string& name,
function<bayesnet::BaseClassifier* (void)> classFactoryFunction);
std::vector<string> getNames();
std::string tostring();
std::string toString();
};
class Registrar {
@@ -39,4 +39,3 @@ namespace platform {
Registrar(const std::string& className, function<bayesnet::BaseClassifier* (void)> classFactoryFunction);
};
}
#endif

0
src/main/Result.cc → src/main/Result.cpp
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7
src/main/Result.h
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@@ -1,5 +1,5 @@
#ifndef RESULT_H
#define RESULT_H
#pragma once
#include <map>
#include <vector>
#include <string>
@@ -21,12 +21,14 @@ namespace platform {
std::string to_string(int maxModel) const;
std::string getFilename() const;
std::string getDate() const { return data["date"].get<std::string>(); };
std::string getTime() const { return data["time"].get<std::string>(); };
double getScore() const { return score; };
std::string getTitle() const { return data["title"].get<std::string>(); };
double getDuration() const { return data["duration"]; };
std::string getModel() const { return data["model"].get<std::string>(); };
std::string getScoreName() const { return data["score_name"].get<std::string>(); };
bool isComplete() const { return complete; };
json getData() const { return data; }
// Setters
void setTitle(const std::string& title) { data["title"] = title; };
void setLanguage(const std::string& language) { data["language"] = language; };
@@ -48,4 +50,3 @@ namespace platform {
double score = 0.0;
};
};
#endif

17
src/main/b_main.cc → src/main/b_main.cpp
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@@ -15,18 +15,29 @@ using json = nlohmann::json;
void manageArguments(argparse::ArgumentParser& program)
{
auto env = platform::DotEnv();
program.add_argument("-d", "--dataset").default_value("").help("Dataset file name");
auto datasets = platform::Datasets(false, platform::Paths::datasets());
program.add_argument("-d", "--dataset")
.help("Dataset file name: " + datasets.toString())
.action([](const std::string& value) {
auto datasets = platform::Datasets(false, platform::Paths::datasets());
static const std::vector<std::string> choices_datasets(datasets.getNames());
if (find(choices_datasets.begin(), choices_datasets.end(), value) != choices_datasets.end()) {
return value;
}
throw std::runtime_error("Dataset must be one of: " + datasets.toString());
}
);
program.add_argument("--hyperparameters").default_value("{}").help("Hyperparameters passed to the model in Experiment");
program.add_argument("--hyper-file").default_value("").help("Hyperparameters file name." \
"Mutually exclusive with hyperparameters. This file should contain hyperparameters for each dataset in json format.");
program.add_argument("-m", "--model")
.help("Model to use " + platform::Models::instance()->tostring())
.help("Model to use: " + platform::Models::instance()->toString())
.action([](const std::string& value) {
static const std::vector<std::string> choices = platform::Models::instance()->getNames();
if (find(choices.begin(), choices.end(), value) != choices.end()) {
return value;
}
throw std::runtime_error("Model must be one of " + platform::Models::instance()->tostring());
throw std::runtime_error("Model must be one of " + platform::Models::instance()->toString());
}
);
program.add_argument("--title").default_value("").help("Experiment title");

7
src/main/modelRegister.h
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@@ -1,5 +1,5 @@
#ifndef MODEL_REGISTER_H
#define MODEL_REGISTER_H
#pragma once
static platform::Registrar registrarT("TAN",
[](void) -> bayesnet::BaseClassifier* { return new bayesnet::TAN();});
static platform::Registrar registrarTLD("TANLd",
@@ -27,5 +27,4 @@ static platform::Registrar registrarSvc("SVC",
static platform::Registrar registrarRaF("RandomForest",
[](void) -> bayesnet::BaseClassifier* { return new pywrap::RandomForest();});
static platform::Registrar registrarXGB("XGBoost",
[](void) -> bayesnet::BaseClassifier* { return new pywrap::XGBoost();});
#endif
[](void) -> bayesnet::BaseClassifier* { return new pywrap::XGBoost();});

0
src/manage/CommandParser.cc → src/manage/CommandParser.cpp
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5
src/manage/CommandParser.h
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@@ -1,5 +1,5 @@
#ifndef COMMAND_PARSER_H
#define COMMAND_PARSER_H
#pragma once
#include <string>
#include <vector>
#include <tuple>
@@ -17,4 +17,3 @@ namespace platform {
int index;
};
} /* namespace platform */
#endif /* COMMAND_PARSER_H */

4
src/manage/ManageResults.cc → src/manage/ManageResults.cpp
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@@ -12,8 +12,10 @@
namespace platform {
ManageResults::ManageResults(int numFiles, const std::string& model, const std::string& score, bool complete, bool partial, bool compare) :
numFiles{ numFiles }, complete{ complete }, partial{ partial }, compare{ compare }, results(Results(Paths::results(), model, score, complete, partial))
numFiles{ numFiles }, complete{ complete }, partial{ partial }, compare{ compare }, results(ResultsManager(model, score, complete, partial))
{
results.load();
results.sortDate();
indexList = true;
openExcel = false;
workbook = NULL;

10
src/manage/ManageResults.h
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@@ -1,7 +1,7 @@
#ifndef MANAGE_RESULTS_H
#define MANAGE_RESULTS_H
#pragma once
#include <xlsxwriter.h>
#include "Results.h"
#include "ResultsManager.h"
namespace platform {
class ManageResults {
@@ -23,9 +23,7 @@ namespace platform {
bool complete;
bool partial;
bool compare;
Results results;
ResultsManager results;
lxw_workbook* workbook;
};
}
#endif /* MANAGE_RESULTS_H */

41
src/manage/Results.cc → src/manage/ResultsManager.cpp
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@@ -1,18 +1,13 @@
#include <algorithm>
#include "Results.h"
#include "common/Paths.h"
#include "ResultsManager.h"
namespace platform {
Results::Results(const std::string& path, const std::string& model, const std::string& score, bool complete, bool partial) :
path(path), model(model), scoreName(score), complete(complete), partial(partial)
ResultsManager::ResultsManager(const std::string& model, const std::string& score, bool complete, bool partial) :
path(Paths::results()), model(model), scoreName(score), complete(complete), partial(partial), maxModel(0)
{
load();
if (!files.empty()) {
maxModel = (*max_element(files.begin(), files.end(), [](const Result& a, const Result& b) { return a.getModel().size() < b.getModel().size(); })).getModel().size();
} else {
maxModel = 0;
}
}
void Results::load()
void ResultsManager::load()
{
using std::filesystem::directory_iterator;
for (const auto& file : directory_iterator(path)) {
@@ -27,48 +22,58 @@ namespace platform {
files.push_back(result);
}
}
maxModel = std::max(size_t(5), (*max_element(files.begin(), files.end(), [](const Result& a, const Result& b) { return a.getModel().size() < b.getModel().size(); })).getModel().size());
}
void Results::hideResult(int index, const std::string& pathHidden)
void ResultsManager::hideResult(int index, const std::string& pathHidden)
{
auto filename = files.at(index).getFilename();
rename((path + "/" + filename).c_str(), (pathHidden + "/" + filename).c_str());
files.erase(files.begin() + index);
}
void Results::deleteResult(int index)
void ResultsManager::deleteResult(int index)
{
auto filename = files.at(index).getFilename();
remove((path + "/" + filename).c_str());
files.erase(files.begin() + index);
}
int Results::size() const
int ResultsManager::size() const
{
return files.size();
}
void Results::sortDate()
void ResultsManager::sortDate()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
if (a.getDate() == b.getDate()) {
return a.getModel() < b.getModel();
}
return a.getDate() > b.getDate();
});
}
void Results::sortModel()
void ResultsManager::sortModel()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
if (a.getModel() == b.getModel()) {
return a.getDate() > b.getDate();
}
return a.getModel() > b.getModel();
});
}
void Results::sortDuration()
void ResultsManager::sortDuration()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
return a.getDuration() > b.getDuration();
});
}
void Results::sortScore()
void ResultsManager::sortScore()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
if (a.getScore() == b.getScore()) {
return a.getDate() > b.getDate();
}
return a.getScore() > b.getScore();
});
}
bool Results::empty() const
bool ResultsManager::empty() const
{
return files.empty();
}

14
src/manage/Results.h → src/manage/ResultsManager.h
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@@ -1,15 +1,15 @@
#ifndef RESULTS_H
#define RESULTS_H
#include <map>
#pragma once
#include <vector>
#include <string>
#include <nlohmann/json.hpp>
#include "main/Result.h"
namespace platform {
using json = nlohmann::json;
class Results {
class ResultsManager {
public:
Results(const std::string& path, const std::string& model, const std::string& score, bool complete, bool partial);
ResultsManager(const std::string& model, const std::string& score, bool complete, bool partial);
void load(); // Loads the list of results
void sortDate();
void sortScore();
void sortModel();
@@ -30,7 +30,5 @@ namespace platform {
bool partial;
int maxModel;
std::vector<Result> files;
void load(); // Loads the list of results
};
};
#endif
};

0
src/manage/b_manage.cc → src/manage/b_manage.cpp
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24
src/reports/ExcelFile.cc → src/reports/ExcelFile.cpp
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@@ -84,6 +84,7 @@ namespace platform {
void ExcelFile::createStyle(const std::string& name, lxw_format* style, bool odd)
{
addColor(style, odd);
auto color_bold = 0xFF0000;
if (name == "textCentered") {
format_set_align(style, LXW_ALIGN_CENTER);
format_set_font_size(style, normalSize);
@@ -94,6 +95,13 @@ namespace platform {
format_set_border(style, LXW_BORDER_THIN);
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
format_set_text_wrap(style);
} else if (name == "text_bold") {
format_set_font_size(style, normalSize);
format_set_border(style, LXW_BORDER_THIN);
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
format_set_font_color(style, lxw_color_t(color_bold));
format_set_bold(style);
format_set_text_wrap(style);
} else if (name == "bodyHeader") {
format_set_bold(style);
format_set_font_size(style, normalSize);
@@ -106,6 +114,13 @@ namespace platform {
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
format_set_border(style, LXW_BORDER_THIN);
format_set_num_format(style, "0.0000000");
} else if (name == "result_bold") {
format_set_font_size(style, normalSize);
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
format_set_border(style, LXW_BORDER_THIN);
format_set_bold(style);
format_set_font_color(style, lxw_color_t(color_bold));
format_set_num_format(style, "0.0000000");
} else if (name == "time") {
format_set_font_size(style, normalSize);
format_set_border(style, LXW_BORDER_THIN);
@@ -116,6 +131,13 @@ namespace platform {
format_set_num_format(style, "###,##0");
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
format_set_border(style, LXW_BORDER_THIN);
} else if (name == "ints_bold") {
format_set_font_size(style, normalSize);
format_set_num_format(style, "###,##0");
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
format_set_bold(style);
format_set_font_color(style, lxw_color_t(color_bold));
format_set_border(style, LXW_BORDER_THIN);
} else if (name == "floats") {
format_set_border(style, LXW_BORDER_THIN);
format_set_align(style, LXW_ALIGN_VERTICAL_CENTER);
@@ -131,7 +153,7 @@ namespace platform {
void ExcelFile::createFormats()
{
auto styleNames = { "text", "textCentered", "bodyHeader", "result", "time", "ints", "floats", "percentage" };
auto styleNames = { "text", "text_bold", "textCentered", "bodyHeader", "result", "result_bold", "time", "ints", "ints_bold", "floats", "percentage" };
lxw_format* style;
for (std::string name : styleNames) {
lxw_format* style = workbook_add_format(workbook);

5
src/reports/ExcelFile.h
View File

@@ -1,5 +1,5 @@
#ifndef EXCELFILE_H
#define EXCELFILE_H
#pragma once
#include <locale>
#include <string>
#include <map>
@@ -42,4 +42,3 @@ namespace platform {
void setDefault();
};
}
#endif // !EXCELFILE_H

0
src/reports/ReportBase.cc → src/reports/ReportBase.cpp
View File

5
src/reports/ReportBase.h
View File

@@ -1,5 +1,5 @@
#ifndef REPORTBASE_H
#define REPORTBASE_H
#pragma once
#include <string>
#include <iostream>
#include <nlohmann/json.hpp>
@@ -33,4 +33,3 @@ namespace platform {
bool existBestFile = true;
};
};
#endif

0
src/reports/ReportConsole.cc → src/reports/ReportConsole.cpp
View File

5
src/reports/ReportConsole.h
View File

@@ -1,5 +1,5 @@
#ifndef REPORTCONSOLE_H
#define REPORTCONSOLE_H
#pragma once
#include <string>
#include "common/Colors.h"
#include "ReportBase.h"
@@ -19,4 +19,3 @@ namespace platform {
void showSummary() override;
};
};
#endif

0
src/reports/ReportExcel.cc → src/reports/ReportExcel.cpp
View File

5
src/reports/ReportExcel.h
View File

@@ -1,5 +1,5 @@
#ifndef REPORTEXCEL_H
#define REPORTEXCEL_H
#pragma once
#include <map>
#include <xlsxwriter.h>
#include "common/Colors.h"
@@ -22,4 +22,3 @@ namespace platform {
void header_notes(int row);
};
};
#endif // !REPORTEXCEL_H

0
src/reports/ReportExcelCompared.cc → src/reports/ReportExcelCompared.cpp
View File

2
tests/CMakeLists.txt
View File

@@ -8,7 +8,7 @@ if(ENABLE_TESTING)
${CMAKE_BINARY_DIR}/configured_files/include
/usr/local/include
)
set(TEST_SOURCES_PLATFORM TestUtils.cc TestPlatform.cc)
set(TEST_SOURCES_PLATFORM TestUtils.cpp TestPlatform.cpp)
add_executable(${TEST_PLATFORM} ${TEST_SOURCES_PLATFORM})
target_link_libraries(${TEST_PLATFORM} PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp Catch2::Catch2WithMain)
add_test(NAME ${TEST_PLATFORM} COMMAND ${TEST_PLATFORM})

0
tests/TestPlatform.cc → tests/TestPlatform.cpp
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0
tests/TestResult.cc → tests/TestResult.cpp
View File

0
tests/TestUtils.cc → tests/TestUtils.cpp
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5
tests/TestUtils.h
View File

@@ -1,5 +1,5 @@
#ifndef TEST_UTILS_H
#define TEST_UTILS_H
#pragma once
#include <torch/torch.h>
#include <string>
#include <vector>
@@ -40,4 +40,3 @@ public:
double epsilon = 1e-5;
};
#endif //TEST_UTILS_H