public override IGeneratorConf getConf(int CountFeatures)
{
IGeneratorConf result = new InitBySamplesConfig();
result.Init(CountFeatures);
return(result);
}
public override int Run(string[] args)
{
Console.WriteLine("Start");
fill_params(args);
Console.WriteLine("Params get \nfile tra {0} \nfile name tst {1} ", file_learn, file_test);
Class_learn_set = new SampleSet(file_learn);
Class_learn_set = new SampleSet(file_learn);
Console.WriteLine("Tra create");
Class_test_set = new SampleSet(file_test);
Console.WriteLine("Tst create");
conf = new InitBySamplesConfig();
conf.Init(Class_learn_set.CountVars);
fill_conf();
Console.WriteLine("Conf Filed");
Class_Pittsburg = new PCFuzzySystem(Class_learn_set, Class_test_set);
Console.WriteLine("Classifier created");
generator = new GeneratorRulesBySamples();
Class_Pittsburg = generator.Generate(Class_Pittsburg, conf);
// GeneratorRulesBySamples.InitRulesBySamples(Class_Pittsburg, func);
// SingletoneApproximate = generator.Generate(SingletoneApproximate, conf);
Console.WriteLine("Gereration complite");
PCFSUFSWriter.saveToUFS(Class_Pittsburg, file_out);
Console.WriteLine("Saved");
return(1);
}
public override int Run(string[] args)
{
Console.WriteLine("Start");
fill_params(args);
foreach (string filenametra in System.IO.Directory.GetFiles(file_learn, "*tra.dat", System.IO.SearchOption.AllDirectories))
{
string filenameTST = filenametra.Replace("tra.dat", "tst.dat");
Console.WriteLine("Params get \nfile tra {0} \nfile name tst {1} ", filenametra, filenameTST);
Class_learn_set = new SampleSet(filenametra);
Console.WriteLine("Tra create");
Class_test_set = new SampleSet(filenameTST);
Console.WriteLine("Tst create");
conf = new InitBySamplesConfig();
conf.Init(Class_learn_set.CountVars);
// fill_conf();
conf.loadParams(confParams);
file_out = filenametra.Replace("tra.dat", ((InitBySamplesConfig)conf).IBSTypeFunc.ToString() + "_out.ufs");
Console.WriteLine("Conf Filed");
Class_Pittsburg = new PCFuzzySystem(Class_learn_set, Class_test_set);
Console.WriteLine("Classifier created");
generator = new GeneratorRulesBySamples();
Class_Pittsburg = generator.Generate(Class_Pittsburg, conf);
Console.WriteLine("Generation complite");
PCFSUFSWriter.saveToUFS(Class_Pittsburg, file_out);
StreamWriter sw = new StreamWriter(Path.Combine(file_learn, ((InitBySamplesConfig)conf).IBSTypeFunc.ToString() + "_log.txt"), true);
sw.WriteLine(filenametra + "\t" + Class_Pittsburg.ErrorLearnSamples(Class_Pittsburg.RulesDatabaseSet[0]));
sw.WriteLine(filenameTST + "\t" + Class_Pittsburg.ErrorTestSamples(Class_Pittsburg.RulesDatabaseSet[0]));
sw.Close();
Console.WriteLine("Saved");
}
return(1);
}
public override PCFuzzySystem Generate(PCFuzzySystem Classifier, IGeneratorConf config)
{
PCFuzzySystem result = Classifier;
//Filtre(result);
InitBySamplesConfig config1 = config as InitBySamplesConfig;
type_func = config1.IBSTypeFunc;
calc_min_max_for_class(result.LearnSamplesSet);
InitRulesBySamples(Classifier, type_func);
result.RulesDatabaseSet[0].TermsSet.Trim();
//Chiu(result);
//Console.WriteLine("Обуч: " + Math.Round(result.ClassifyLearnSamples(result.RulesDatabaseSet[0]), 2));
//Console.WriteLine("Тест: " + Math.Round(result.ClassifyTestSamples(result.RulesDatabaseSet[0]), 2));
//Console.WriteLine();
return(result);
}
