private static void write_about_Estimates(XmlWriter writer, a_Fuzzy_System Approximate)
{
writer.WriteStartElement("Estimates");
if (Approximate.Test_Samples_set != null)
{
writer.WriteAttributeString("Count", XmlConvert.ToString(2));
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.Learn_Samples_set.File_Name.Remove(Approximate.Learn_Samples_set.File_Name.Length - 4, 4));
writer.WriteAttributeString("Type", "RMSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.approx_Learn_Samples()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.Test_Samples_set.File_Name.Remove(Approximate.Learn_Samples_set.File_Name.Length - 4, 4));
writer.WriteAttributeString("Type", "RMSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.approx_Test_Samples()));
writer.WriteEndElement();
}
else
{
writer.WriteAttributeString("Count", XmlConvert.ToString(1));
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.Learn_Samples_set.File_Name.Remove(Approximate.Learn_Samples_set.File_Name.Length - 4, 4));
writer.WriteAttributeString("Type", "RMSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.approx_Learn_Samples()));
writer.WriteEndElement();
}
writer.WriteEndElement();
}
private void make_Log(Log_line EventCall, a_Fuzzy_System FS = null, string name_Alg = "", DateTime TimerValue = new DateTime(), TimeSpan TimerSpan = new TimeSpan())
{
switch (EventCall)
{
case Log_line.Start:
{
LOG += "(" + TimerValue.ToString() + ")" + " Начало построения системы" + Environment.NewLine;
break;
}
case Log_line.StartGenerate:
{
LOG += "(" + TimerValue.ToString() + ")" + " Начата генерация системы" + Environment.NewLine;
break;
}
case Log_line.StartOptimaze:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " Начата оптимизация системы" + Environment.NewLine;
break;
}
case Log_line.PreGenerate_log:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " Генерация алгоритмом " + name_Alg.ToString() + Environment.NewLine;
break;
}
case Log_line.PostGenerate_log:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " Сгенерирована система сложностью " + FS.value_complexity().ToString() + Environment.NewLine +
"Точностью на обучающей выборке " + FS.approx_Learn_Samples().ToString() + ", Точность на тестовой выборке " + FS.approx_Test_Samples().ToString() + Environment.NewLine;
LOG += "Использован " + name_Alg.ToString() + Environment.NewLine;
break;
}
case Log_line.PreOptimaze_log:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " Оптимизация алгоритмом " + name_Alg.ToString() + Environment.NewLine;
break;
}
case Log_line.PostOptimaze_log:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " оптимизированная система сложностью " + FS.value_complexity().ToString() + Environment.NewLine +
"Точностью на обучающей выборке " + Approx_Singletone.approx_Learn_Samples().ToString() + ", Точность на тестовой выборке " + FS.approx_Test_Samples().ToString() + Environment.NewLine;
LOG += "Использован " + name_Alg.ToString() + Environment.NewLine;
break;
}
case Log_line.EndCircle:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " Время построения системы" + TimerSpan.TotalSeconds.ToString() + Environment.NewLine; break;
}
case Log_line.End:
{
LOG += "(" + DateTime.Now.ToString() + ")" + " Время построения всех систем" + TimerSpan.TotalSeconds.ToString() + Environment.NewLine; break;
}
default: { LOG += "Не верный вызов" + Environment.NewLine; break; }
}
}