public override int Run(string[] args)
{
Console.WriteLine("Start");
fill_params(args);
Console.WriteLine("Params get \nfile in {0} \n", file_in);
Approx_learn_set = BaseUFSLoader.LoadLearnFromUFS(file_in);
Console.WriteLine("Tra load");
Approx_test_set = BaseUFSLoader.LoadTestFromUFS(file_in);
Console.WriteLine("Tst load");
conf = new MultiGoalOptimaze_conf();
conf.Init(Approx_learn_set.CountVars);
conf.loadParams(confParams);
Console.WriteLine("Conf Filed");
Approx_Singletone = new SAFuzzySystem(Approx_learn_set, Approx_test_set);
Approx_Singletone = SAFSUFSLoader.loadUFS(Approx_Singletone, file_in);
Console.WriteLine("Classifier created");
optimaze = new MultiGoalOpimize();
Approx_Singletone = optimaze.TuneUpFuzzySystem(Approx_Singletone, conf);
Console.WriteLine("Optimization complite");
// a_FS_UFS.saveToUFS(Class_Pittsburg, file_out);
Console.WriteLine("Saved");
return(1);
}
public override int Run(string[] args)
{
Console.WriteLine("Start");
fill_params(args);
Console.WriteLine("Params get \nfile in {0} \n", file_in);
Approx_learn_set = BaseUFSLoader.LoadLearnFromUFS(file_in);
Console.WriteLine("Tra load");
Approx_test_set = BaseUFSLoader.LoadTestFromUFS(file_in);
Console.WriteLine("Tst load");
conf = new PSOBacterySearchConf();
conf.Init(Approx_learn_set.CountVars);
conf.loadParams(confParams);
Console.WriteLine("Conf Filed");
Approx_Singletone = new SAFuzzySystem(Approx_learn_set, Approx_test_set);
Approx_Singletone = SAFSUFSLoader.loadUFS(Approx_Singletone, file_in);
Console.WriteLine("Classifier created");
optimaze = new PSOMethods.Approx.Term_config_PSO_Bactery();
Approx_Singletone = optimaze.TuneUpFuzzySystem(Approx_Singletone, conf);
Console.WriteLine("Optimization complite");
SAFSUFSWriter.saveToUFS(Approx_Singletone, file_out);
Console.WriteLine("Saved");
return(1);
}
protected KnowlegeBaseSARules[] loadDatabase()
{
KnowlegeBaseSARules temp = result.RulesDatabaseSet[0];
if (!Directory.Exists(PathAlgDestiny))
{
Directory.CreateDirectory(PathAlgDestiny);
}
string[] files = Directory.GetFiles(PathAlgDestiny, "*.ufs", SearchOption.AllDirectories);
KnowlegeBaseSARules[] tempResult = new KnowlegeBaseSARules[files.Count()];
for (int i = 0; i < files.Count(); i++)
{
result = SAFSUFSLoader.loadUFS(result, files[i]);
tempResult[i] = result.RulesDatabaseSet[0];
File.Delete(files[i]);
}
result.RulesDatabaseSet[0] = temp;
return(tempResult);
}
protected KnowlegeBaseSARules[] loadDatabase()
{
KnowlegeBaseSARules temp = result.RulesDatabaseSet[0];
string PathAlg = (new FileInfo(Application.ExecutablePath)).DirectoryName + "\\FS\\fromBactery\\";
if (!Directory.Exists(PathAlg))
{
Directory.CreateDirectory(PathAlg);
}
string[] files = Directory.GetFiles(PathAlg, "*.ufs", SearchOption.AllDirectories);
KnowlegeBaseSARules[] tempResult = new KnowlegeBaseSARules[files.Count()];
for (int i = 0; i < files.Count(); i++)
{
result = SAFSUFSLoader.loadUFS(result, files[i]);
tempResult[i] = result.RulesDatabaseSet[0];
File.Delete(files[i]);
}
result.RulesDatabaseSet[0] = temp;
return(tempResult);
}
private void loadSAFSFromUFS()
{
FuzzySystem = SAFSUFSLoader.loadUFS(FuzzySystem as SAFuzzySystem, UFS_file_name);
}
public virtual void Calc()
{
DateTime start__full_time = DateTime.Now;
List <int> gen_index = prepare_generate_to_Calc();
List <int> leant_index = prepare_learn_to_Calc();
make_Log(Log_line.Start, TimerValue: start__full_time);
int currentstep = 0;
int all_step = (Rules_generator.Count() + Learn_algorithms.Count() * Repeat_into) * Repeat_renew_global;
currentstep = Make_inform_back_process(currentstep, all_step);
// Parallel.For(0, Repeat_renew_global, i =>
LOG = "";
for (int i = 0; i < Repeat_renew_global; i++)
{
Approx_Singletone = new SAFuzzySystem(Approx_learn_set, Approx_test_set);
DateTime start__curle_time = DateTime.Now;
#region Генерация аппроксиматора
make_Log(Log_line.StartGenerate, TimerValue: start__curle_time);
if (Rules_generator.Count() == 0 && (is_UFS))
{
Approx_Singletone = SAFSUFSLoader.loadUFS(Approx_Singletone, UFS_file_name);
}
for (int ad = 0; ad < Rules_generator.Count(); ad++)
{
make_Log(Log_line.PreGenerate_log, name_Alg: Rules_generator[ad].ToString());
Approx_Singletone =
Rules_generator[ad].Generate(Approx_Singletone as SAFuzzySystem, Rules_generator_conf[gen_index[ad]]) as SAFuzzySystem;
currentstep = Make_inform_back_process(currentstep, all_step);
make_Log(Log_line.PostGenerate_log, Approx_Singletone, name_Alg: Rules_generator[ad].ToString(true));
if (is_autosave)
{
save_FS(Approx_Singletone, Name_alg: Rules_generator[ad].ToString());
}
GC.Collect();
}
#endregion
make_Log(Log_line.StartOptimaze, Approx_Singletone);
for (int j = 0; j < Repeat_into; j++)
{
#region Оптимизация аппроксиматора
for (int l = 0; l < Learn_algorithms.Count(); l++)
{
make_Log(Log_line.PreOptimaze_log, name_Alg: Learn_algorithms[l].ToString());
Approx_Singletone =
Learn_algorithms[l].TuneUpFuzzySystem(Approx_Singletone as SAFuzzySystem, Learn_algorithm_conf[leant_index[l]]) as SAFuzzySystem;
currentstep = Make_inform_back_process(currentstep, all_step);
make_Log(Log_line.PostOptimaze_log, FS: Approx_Singletone, name_Alg: Learn_algorithms[l].ToString(true));
if (is_autosave)
{
save_FS(Approx_Singletone, Learn_algorithms[l].ToString());
}
GC.Collect();
}
#endregion
}
make_Log(Log_line.EndCircle, TimerSpan: (DateTime.Now - start__curle_time));
GC.Collect();
}
// );
make_Log(Log_line.End, TimerSpan: DateTime.Now - start__full_time);
}
