Files
BayesNet/src/Platform/Experiment.h

117 lines
6.6 KiB
C++

#ifndef EXPERIMENT_H
#define EXPERIMENT_H
#include <torch/torch.h>
#include <nlohmann/json.hpp>
#include <string>
#include <chrono>
#include "Folding.h"
#include "BaseClassifier.h"
#include "TAN.h"
#include "KDB.h"
#include "AODE.h"
using namespace std;
namespace platform {
using json = nlohmann::json;
class Timer {
private:
chrono::high_resolution_clock::time_point begin;
public:
Timer() = default;
~Timer() = default;
void start() { begin = chrono::high_resolution_clock::now(); }
double getDuration()
{
chrono::high_resolution_clock::time_point end = chrono::high_resolution_clock::now();
chrono::duration<double> time_span = chrono::duration_cast<chrono::duration<double>>(end - begin);
return time_span.count();
}
};
class Result {
private:
string dataset, model_version;
json hyperparameters;
int samples{ 0 }, features{ 0 }, classes{ 0 };
double score_train{ 0 }, score_test{ 0 }, score_train_std{ 0 }, score_test_std{ 0 }, train_time{ 0 }, train_time_std{ 0 }, test_time{ 0 }, test_time_std{ 0 };
float nodes{ 0 }, leaves{ 0 }, depth{ 0 };
vector<double> scores_train, scores_test, times_train, times_test;
public:
Result() = default;
Result& setDataset(const string& dataset) { this->dataset = dataset; return *this; }
Result& setHyperparameters(const json& hyperparameters) { this->hyperparameters = hyperparameters; return *this; }
Result& setSamples(int samples) { this->samples = samples; return *this; }
Result& setFeatures(int features) { this->features = features; return *this; }
Result& setClasses(int classes) { this->classes = classes; return *this; }
Result& setScoreTrain(double score) { this->score_train = score; return *this; }
Result& setScoreTest(double score) { this->score_test = score; return *this; }
Result& setScoreTrainStd(double score_std) { this->score_train_std = score_std; return *this; }
Result& setScoreTestStd(double score_std) { this->score_test_std = score_std; return *this; }
Result& setTrainTime(double train_time) { this->train_time = train_time; return *this; }
Result& setTrainTimeStd(double train_time_std) { this->train_time_std = train_time_std; return *this; }
Result& setTestTime(double test_time) { this->test_time = test_time; return *this; }
Result& setTestTimeStd(double test_time_std) { this->test_time_std = test_time_std; return *this; }
Result& setNodes(float nodes) { this->nodes = nodes; return *this; }
Result& setLeaves(float leaves) { this->leaves = leaves; return *this; }
Result& setDepth(float depth) { this->depth = depth; return *this; }
Result& addScoreTrain(double score) { scores_train.push_back(score); return *this; }
Result& addScoreTest(double score) { scores_test.push_back(score); return *this; }
Result& addTimeTrain(double time) { times_train.push_back(time); return *this; }
Result& addTimeTest(double time) { times_test.push_back(time); return *this; }
const float get_score_train() const { return score_train; }
float get_score_test() { return score_test; }
const string& getDataset() const { return dataset; }
const json& getHyperparameters() const { return hyperparameters; }
const int getSamples() const { return samples; }
const int getFeatures() const { return features; }
const int getClasses() const { return classes; }
const double getScoreTrain() const { return score_train; }
const double getScoreTest() const { return score_test; }
const double getScoreTrainStd() const { return score_train_std; }
const double getScoreTestStd() const { return score_test_std; }
const double getTrainTime() const { return train_time; }
const double getTrainTimeStd() const { return train_time_std; }
const double getTestTime() const { return test_time; }
const double getTestTimeStd() const { return test_time_std; }
const float getNodes() const { return nodes; }
const float getLeaves() const { return leaves; }
const float getDepth() const { return depth; }
const vector<double>& getScoresTrain() const { return scores_train; }
const vector<double>& getScoresTest() const { return scores_test; }
const vector<double>& getTimesTrain() const { return times_train; }
const vector<double>& getTimesTest() const { return times_test; }
};
class Experiment {
private:
string title, model, platform, score_name, model_version, language_version, language;
bool discretized{ false }, stratified{ false };
vector<Result> results;
vector<int> randomSeeds;
json hyperparameters = "{}";
int nfolds{ 0 };
float duration{ 0 };
json build_json();
public:
Experiment();
Experiment& setTitle(const string& title) { this->title = title; return *this; }
Experiment& setModel(const string& model) { this->model = model; return *this; }
Experiment& setPlatform(const string& platform) { this->platform = platform; return *this; }
Experiment& setScoreName(const string& score_name) { this->score_name = score_name; return *this; }
Experiment& setModelVersion(const string& model_version) { this->model_version = model_version; return *this; }
Experiment& setLanguage(const string& language) { this->language = language; return *this; }
Experiment& setLanguageVersion(const string& language_version) { this->language_version = language_version; return *this; }
Experiment& setDiscretized(bool discretized) { this->discretized = discretized; return *this; }
Experiment& setStratified(bool stratified) { this->stratified = stratified; return *this; }
Experiment& setNFolds(int nfolds) { this->nfolds = nfolds; return *this; }
Experiment& addResult(Result result) { results.push_back(result); return *this; }
Experiment& addRandomSeed(int randomSeed) { randomSeeds.push_back(randomSeed); return *this; }
Experiment& setDuration(float duration) { this->duration = duration; return *this; }
Experiment& setHyperparameters(const json& hyperparameters) { this->hyperparameters = hyperparameters; return *this; }
string get_file_name();
void save(const string& path);
void cross_validation(const string& path, const string& fileName);
void go(vector<string> filesToProcess, const string& path);
void show();
void report();
};
}
#endif