public void LearnEO()
{
if (Equals(LearningInputs, null))
{
return;
}
if (Equals(LearningOutputs, null))
{
return;
}
//Set kernal params :
UseKernel = KernelEnum.Gaussian;
if (Equals(kernel, null))
{
kernelG = new Gaussian(sigmaKernel);
}
else
{
kernelG.Sigma = sigmaKernel;
}
teacherSMOR = new SequentialMinimalOptimizationRegression();
teacherSMOR.Kernel = kernelG;
teacherSMOR.UseComplexityHeuristic = true;
teacherSMOR.UseKernelEstimation = false;
// Space dimension :must 4.
int D = 4;
List <Interval> intervals = new List <Interval>();
intervals.Add(new Interval(0.9, 1.2)); //Sigma of Gaussian
intervals.Add(new Interval(25, 40)); // Complexity
intervals.Add(new Interval(0.001, 0.001)); // Tolerance
intervals.Add(new Interval(0.001, 0.001)); // Epsilon
Optimizer = new PSOGSA_Optimizer(PopulationSize, D, intervals, MaxIterations);
Optimizer.ObjectiveFunction += Optimizer_ObjectiveFunction;
Optimizer.LuanchComputation();
_BestScore = Optimizer.BestScore;
_BestSolution = Optimizer.BestSolution;
}
public void LearnEO()
{
if (Equals(LearningInputs, null))
{
return;
}
if (Equals(LearningOutputs, null))
{
return;
}
//Set kernal params :
UseKernel = KernelEnum.Gaussian;
if (Equals(kernel, null))
{
kernelG = new Gaussian(sigmaKernel);
}
else
{
kernelG.Sigma = sigmaKernel;
}
teacherSMOR = new SequentialMinimalOptimizationRegression();
teacherSMOR.Kernel = kernelG;
teacherSMOR.UseComplexityHeuristic = true;
teacherSMOR.UseKernelEstimation = false;
// Space dimension :must 4.
int D = 4;
List <MonoObjectiveEOALib.Range> ranges = new List <MonoObjectiveEOALib.Range>();
ranges.Add(new MonoObjectiveEOALib.Range(0.1, 10)); //Sigma of Gaussian
ranges.Add(new MonoObjectiveEOALib.Range(1, 500)); // Complexity
ranges.Add(new MonoObjectiveEOALib.Range(0.001, 0.001)); // Tolerance
ranges.Add(new MonoObjectiveEOALib.Range(0.001, 0.05)); // Epsilon
Optimizer = new PSOGSA_Optimizer(PopulationSize, D, ranges, MaxIterations);
Optimizer.ObjectiveFunction += Optimizer_ObjectiveFunction;
Optimizer.Compute();
_BestScore = Optimizer.BestScore;
_BestSolution = Optimizer.BestSolution;
}
