private double testMulticlassModel(int numberOfClasses, int count, SvmType svm, KernelType kernel, bool probability = false, string outputFile = null)
{
Problem train = SVMUtilities.CreateMulticlassProblem(numberOfClasses, count);
Parameter param = new Parameter();
RangeTransform transform = RangeTransform.Compute(train);
Problem scaled = transform.Scale(train);
param.Gamma = 1.0 / 3;
param.SvmType = svm;
param.KernelType = kernel;
param.Probability = probability;
if (svm == SvmType.C_SVC)
{
for (int i = 0; i < numberOfClasses; i++)
{
param.Weights[i] = 1;
}
}
Model model = Training.Train(scaled, param);
Problem test = SVMUtilities.CreateMulticlassProblem(numberOfClasses, count, false);
scaled = transform.Scale(test);
return(Prediction.Predict(scaled, outputFile, model, false));
}
