105 lines
5.9 KiB
C++
105 lines
5.9 KiB
C++
#ifndef EXPERIMENT_H
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#define EXPERIMENT_H
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#include <torch/torch.h>
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#include <nlohmann/json.hpp>
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#include <string>
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#include <chrono>
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#include "Folding.h"
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#include "BaseClassifier.h"
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#include "TAN.h"
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#include "KDB.h"
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#include "AODE.h"
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using namespace std;
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namespace platform {
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using json = nlohmann::json;
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class Timer {
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private:
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chrono::high_resolution_clock::time_point begin;
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public:
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Timer() = default;
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~Timer() = default;
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void start() { begin = chrono::high_resolution_clock::now(); }
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double getDuration()
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{
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chrono::high_resolution_clock::time_point end = chrono::high_resolution_clock::now();
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chrono::duration<double> time_span = chrono::duration_cast<chrono::duration<double>>(end - begin);
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return time_span.count();
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}
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};
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class Result {
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private:
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string dataset, hyperparameters, model_version;
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int samples, features, classes;
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double score_train, score_test, score_train_std, score_test_std, train_time, train_time_std, test_time, test_time_std;
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float nodes, leaves, depth;
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public:
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Result() = default;
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Result& setDataset(string dataset) { this->dataset = dataset; return *this; }
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Result& setHyperparameters(string hyperparameters) { this->hyperparameters = hyperparameters; return *this; }
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Result& setSamples(int samples) { this->samples = samples; return *this; }
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Result& setFeatures(int features) { this->features = features; return *this; }
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Result& setClasses(int classes) { this->classes = classes; return *this; }
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Result& setScoreTrain(double score) { this->score_train = score; return *this; }
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Result& setScoreTest(double score) { this->score_test = score; return *this; }
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Result& setScoreTrainStd(double score_std) { this->score_train_std = score_std; return *this; }
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Result& setScoreTestStd(double score_std) { this->score_test_std = score_std; return *this; }
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Result& setTrainTime(double train_time) { this->train_time = train_time; return *this; }
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Result& setTrainTimeStd(double train_time_std) { this->train_time_std = train_time_std; return *this; }
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Result& setTestTime(double test_time) { this->test_time = test_time; return *this; }
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Result& setTestTimeStd(double test_time_std) { this->test_time_std = test_time_std; return *this; }
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Result& setNodes(float nodes) { this->nodes = nodes; return *this; }
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Result& setLeaves(float leaves) { this->leaves = leaves; return *this; }
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Result& setDepth(float depth) { this->depth = depth; return *this; }
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Result& setModelVersion(string model_version) { this->model_version = model_version; return *this; }
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const float get_score_train() const { return score_train; }
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float get_score_test() { return score_test; }
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const string& getDataset() const { return dataset; }
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const string& getHyperparameters() const { return hyperparameters; }
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const int getSamples() const { return samples; }
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const int getFeatures() const { return features; }
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const int getClasses() const { return classes; }
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const double getScoreTrain() const { return score_train; }
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const double getScoreTest() const { return score_test; }
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const double getScoreTrainStd() const { return score_train_std; }
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const double getScoreTestStd() const { return score_test_std; }
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const double getTrainTime() const { return train_time; }
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const double getTrainTimeStd() const { return train_time_std; }
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const double getTestTime() const { return test_time; }
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const double getTestTimeStd() const { return test_time_std; }
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const float getNodes() const { return nodes; }
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const float getLeaves() const { return leaves; }
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const float getDepth() const { return depth; }
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const string& getModelVersion() const { return model_version; }
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};
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class Experiment {
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private:
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string title, model, platform, score_name, model_version, language_version, language;
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bool discretized, stratified;
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vector<Result> results;
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vector<int> random_seeds;
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int nfolds;
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float duration;
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json build_json();
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public:
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Experiment() = default;
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Experiment& setTitle(string title) { this->title = title; return *this; }
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Experiment& setModel(string model) { this->model = model; return *this; }
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Experiment& setPlatform(string platform) { this->platform = platform; return *this; }
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Experiment& setScoreName(string score_name) { this->score_name = score_name; return *this; }
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Experiment& setModelVersion(string model_version) { this->model_version = model_version; return *this; }
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Experiment& setLanguage(string language) { this->language = language; return *this; }
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Experiment& setLanguageVersion(string language_version) { this->language_version = language_version; return *this; }
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Experiment& setDiscretized(bool discretized) { this->discretized = discretized; return *this; }
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Experiment& setStratified(bool stratified) { this->stratified = stratified; return *this; }
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Experiment& setNFolds(int nfolds) { this->nfolds = nfolds; return *this; }
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Experiment& addResult(Result result) { results.push_back(result); return *this; }
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Experiment& addRandomSeed(int random_seed) { random_seeds.push_back(random_seed); return *this; }
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Experiment& setDuration(float duration) { this->duration = duration; return *this; }
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string get_file_name();
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void save(string path);
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void show() { cout << "Showing experiment..." << "Score Test: " << results[0].get_score_test() << " Score Train: " << results[0].get_score_train() << endl; }
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};
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Result cross_validation(Fold* fold, string model_name, torch::Tensor& X, torch::Tensor& y, vector<string> features, string className, map<string, vector<int>> states);
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}
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#endif |