static void LaunchEOSVR(int popSize, int iterMax)
{
if (Equals(DataSet, null) || Equals(df, null))
{
return;
}
EOSVR eo_svr = new EOSVR(df.TrainingInput, df.TrainingOutput, df.TestingInput, df.TestingOutput);
eo_svr.PopulationSize = popSize;
eo_svr.MaxIterations = iterMax;
eo_svr.Sigma_Kernel = 1.1;
eo_svr.Param_Complexity = 100;
eo_svr.Param_Epsilon = 0.001;
eo_svr.Param_Tolerance = 0.001;
Console.WriteLine("---------> SVR : ");
eo_svr.Learn();
//Console.WriteLine("---------> EO-SVR : ");
//eo_svr.LearnEO();
Console.WriteLine("Best score = {0}", eo_svr.BestScore);
Console.WriteLine("Best learning index = {0} ; Best testing index = {1}", eo_svr.BestLearningScore, eo_svr.BestTestingScore);
}
static void SaveResults(EOSVR eo_svr, string filePath)
{
if (Equals(eo_svr, null))
{
return;
}
if (Equals(eo_svr.BestChart, null))
{
return;
}
if (Equals(eo_svr.BestSolution, null))
{
return;
}
using (FileStream fs = new FileStream(filePath, FileMode.OpenOrCreate))
{
using (StreamWriter sw = new StreamWriter(fs, System.Text.Encoding.UTF8))
{
System.Text.StringBuilder strb = new System.Text.StringBuilder();
strb.AppendLine("Best_Chart;");
for (int i = 0; i < eo_svr.BestChart.Count(); i++)
{
strb.Append(eo_svr.BestChart[i].ToString()).AppendLine(";");
}
strb.AppendLine("Best Learning score;");
strb.Append(eo_svr.BestLearningScore).AppendLine(";");
strb.AppendLine("Best Testing Score;");
strb.Append(eo_svr.BestTestingScore).AppendLine(";");
strb.AppendLine("Best solution;");
for (int i = 0; i < eo_svr.BestSolution.Length; i++)
{
strb.Append(eo_svr.BestSolution[i]).AppendLine(";");
}
sw.Write(strb.ToString());
sw.Flush();
sw.Close();
fs.Close();
}
}
}
static void LaunchEOSVR(int popSize, int iterMax)
{
if (Equals(DataSet, null) || Equals(df, null))
{
return;
}
EOSVR eo_svr = new EOSVR(df.TrainingInput, df.TrainingOutput, df.TestingInput, df.TestingOutput);
eo_svr.PopulationSize = popSize;
eo_svr.MaxIterations = iterMax;
eo_svr.Sigma_Kernel = 1.1; //1.1; //1.336687063023768
eo_svr.Param_Complexity = 100; // 100; //56.8121658157614
eo_svr.Param_Epsilon = 0.001; // 0.001
eo_svr.Param_Tolerance = 0.001; // 0.001
// Console.WriteLine("---------> SVR : ");
//eo_svr.Learn();
Console.WriteLine("---------> EO-SVR : ");
eo_svr.LearnEO();
Console.WriteLine("Best score = {0}", eo_svr.BestScore);
if (!Equals(eo_svr.BestSolution, null))
{
Console.WriteLine("Best solution : Sigma of Gaussian = {0}; Complexity = {1}; Tolerance = {2}; Epsilon = {3}.", eo_svr.BestSolution[0], eo_svr.BestSolution[1], eo_svr.BestSolution[2], eo_svr.BestSolution[3]);
}
// Console.WriteLine("Best soltion : SigmaKernel= {0}; Complexity_C= {1}; Tolerance= {2}; Epsilon= {3}", eo_svr.BestSolution[0],eo_svr.BestSolution[1],eo_svr.BestSolution[2],eo_svr.BestSolution[3]);
Console.WriteLine("EO-SVR :->Best learning index = {0} ; EO-SVR :-> Best testing index = {1}", eo_svr.BestLearningScore, eo_svr.BestTestingScore);
if (!Equals(eo_svr.BestChart, null))
{
foreach (var valu in eo_svr.BestChart)
{
Console.WriteLine(valu);
}
}
SaveResults(eo_svr, string.Format("C:\\SSL\\Results_SVR_{0}.txt", fileName.Trim()));
//double[][] xy = new double[][]
//{
// new double []{ 0.8},
// new double []{0.16},
// new double []{0.24},
// new double []{0.35},
// new double []{0.25}
//};
//var z = eo_svr.Compute(xy);
//if (Equals(z, null)) { return; }
//foreach (double value in z)
//{
// Console.WriteLine("z = {0}", Math.Round( value,3));
//}
}
