public override IGeneratorConf getConf(int CountFeatures)
{
IGeneratorConf result = new InitEveryoneWithEveryone();
result.Init(CountFeatures);
return(result);
}
protected override void fill_conf()
{
InitEveryoneWithEveryone conf1 = conf as InitEveryoneWithEveryone;
conf1.IEWEFuncType = func;
int[] param = new int[Approx_learn_set.CountVars];
for (int i = 0; i < Approx_learn_set.CountVars; i++)
{
param[i] = CountN[i];
}
}
public override SAFuzzySystem Generate(SAFuzzySystem Approximate, IGeneratorConf config)
{
SAFuzzySystem result = Approximate;
InitEveryoneWithEveryone config1 = config as InitEveryoneWithEveryone;
type_func = config1.IEWEFuncType;
count_slice_vars = config1.IEWECountSlice;
InitRulesEveryoneWithEveryone(Approximate, type_func, count_slice_vars);
return(result);
}
public override PCFuzzySystem Generate(PCFuzzySystem Classifier, IGeneratorConf config)
{
PCFuzzySystem result = Classifier;
Systems_ready_to_test = new List <KnowlegeBasePCRules>();
errors_of_systems = new List <double>();
InitEveryoneWithEveryone config1 = config as InitEveryoneWithEveryone;
type_func = config1.IEWEFuncType;
count_slice_vars = config1.IEWECountSlice;
List <int> Varians_of_run_system = new List <int>();
for (int i = 0; i < Classifier.CountFeatures; i++)
{
int count_terms_for_var = count_slice_vars[i];
Varians_of_run_system.Add(count_terms_for_var);
}
Varians_of_run_system.Sort();
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Classifier.RulesDatabaseSet.Clear();
GeneratorRulesEveryoneWithEveryone.InitRulesEveryoneWithEveryone(result, type_func, Pull_of_systems[i].ToArray());
Systems_ready_to_test.Add(Classifier.RulesDatabaseSet[0]);
errors_of_systems.Add(result.ErrorLearnSamples(result.RulesDatabaseSet[0]));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(Systems_ready_to_test[best_index]);
for (int i = 0; i < count_slice_vars.Count(); i++)
{
count_slice_vars[i] = result.RulesDatabaseSet[0].TermsSet.Count(x => x.NumVar == i);
}
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public override PCFuzzySystem Generate(PCFuzzySystem Classifier, IGeneratorConf config)
{
PCFuzzySystem result = Classifier;
InitEveryoneWithEveryone config1 = config as InitEveryoneWithEveryone;
type_func = config1.IEWEFuncType;
count_slice_vars = config1.IEWECountSlice;
InitRulesEveryoneWithEveryone(result, type_func, count_slice_vars);
InitRulesEveryoneWithEveryone(result, type_func, count_slice_vars);
result.RulesDatabaseSet[0].TermsSet.Trim();
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);
Approx_learn_set = new SampleSet(file_learn);
Console.WriteLine("Tra create");
Approx_test_set = new SampleSet(file_test);
Console.WriteLine("Tst create");
conf = new InitEveryoneWithEveryone();
conf.Init(Approx_learn_set.CountVars);
fill_conf();
Console.WriteLine("Conf Filed");
Approx_Singletone = new SAFuzzySystem(Approx_learn_set, Approx_test_set);
Console.WriteLine("Classifier created");
generator = new GeneratorRulesEveryoneWithEveryone();
Approx_Singletone = generator.Generate(Approx_Singletone, conf) as SAFuzzySystem;
Console.WriteLine("Gereration complite");
SAFSUFSWriter.saveToUFS(Approx_Singletone, file_out);
Console.WriteLine("Saved");
return(1);
}