public static double Predict(Problem problem, string outputFile, Model model, bool predict_probability, int MaxClassCount = 1)
{
int num = 0;
int num2 = 0;
double num3 = 0.0;
double num4 = 0.0;
double num5 = 0.0;
double num6 = 0.0;
double num7 = 0.0;
double num8 = 0.0;
StreamWriter streamWriter = (outputFile != null) ? new StreamWriter(outputFile) : null;
SvmType svmType = Procedures.svm_get_svm_type(model);
int num9 = Procedures.svm_get_nr_class(model);
int[] array = new int[num9];
double[] array2 = null;
if (predict_probability)
{
if (svmType == SvmType.EPSILON_SVR || svmType == SvmType.NU_SVR)
{
Console.WriteLine("Prob. model for test data: target value = predicted value + z,\nz: Laplace distribution e^(-|z|/sigma)/(2sigma),sigma=" + Procedures.svm_get_svr_probability(model));
}
else
{
Procedures.svm_get_labels(model, array);
array2 = new double[num9];
if (streamWriter != null)
{
streamWriter.Write("labels");
for (int i = 0; i < num9; i++)
{
streamWriter.Write(" " + array[i]);
}
streamWriter.Write("\n");
}
}
}
for (int j = 0; j < problem.Count; j++)
{
double num10 = problem.Y[j];
Node[] x = problem.X[j];
double num11;
if (predict_probability && (svmType == SvmType.C_SVC || svmType == SvmType.NU_SVC))
{
num11 = Procedures.svm_predict_probability(model, x, array2);
if (streamWriter != null)
{
streamWriter.Write(num11 + " ");
for (int k = 0; k < num9; k++)
{
streamWriter.Write(array2[k] + " ");
}
streamWriter.Write("\n");
}
}
else
{
num11 = Procedures.svm_predict(model, x);
if (MaxClassCount == 1)
{
if (streamWriter != null)
{
streamWriter.Write(num11 + "\n");
}
}
else
{
int[] array3 = default(int[]);
Procedures.svm_predict_multi(model, x, out array3);
List <KeyValuePair <int, int> > list = new List <KeyValuePair <int, int> >(array3.Length);
for (int l = 0; l < array3.Length; l++)
{
list.Add(new KeyValuePair <int, int>(l, array3[l]));
}
list.Sort((KeyValuePair <int, int> first, KeyValuePair <int, int> second) => - first.Value.CompareTo(second.Value));
for (int m = 0; m < Math.Min(MaxClassCount, list.Count); m++)
{
if (m > 0)
{
streamWriter.Write('\t');
}
streamWriter.Write(list[m].Key);
}
streamWriter.Write("\n");
}
}
if (num11 == num10)
{
num++;
}
num3 += (num11 - num10) * (num11 - num10);
num4 += num11;
num5 += num10;
num6 += num11 * num11;
num7 += num10 * num10;
num8 += num11 * num10;
num2++;
}
if (streamWriter != null)
{
streamWriter.Close();
}
if (svmType != SvmType.EPSILON_SVR && svmType != SvmType.NU_SVR)
{
return((double)num / (double)num2);
}
return(((double)problem.Count * num8 - num4 * num5) / (Math.Sqrt((double)problem.Count * num6 - num4 * num4) * Math.Sqrt((double)problem.Count * num7 - num5 * num5)));
}
private static void parseCommandLine(string[] args, out Parameter parameters, out Problem problem, out bool crossValidation, out int nrfold, out string modelFilename)
{
parameters = new Parameter();
crossValidation = false;
nrfold = 0;
int num = 0;
while (num < args.Length && args[num][0] == '-')
{
num++;
switch (args[num - 1][1])
{
case 's':
parameters.SvmType = (SvmType)int.Parse(args[num]);
break;
case 't':
parameters.KernelType = (KernelType)int.Parse(args[num]);
break;
case 'd':
parameters.Degree = int.Parse(args[num]);
break;
case 'g':
parameters.Gamma = double.Parse(args[num]);
break;
case 'r':
parameters.Coefficient0 = double.Parse(args[num]);
break;
case 'n':
parameters.Nu = double.Parse(args[num]);
break;
case 'm':
parameters.CacheSize = double.Parse(args[num]);
break;
case 'c':
parameters.C = double.Parse(args[num]);
break;
case 'e':
parameters.EPS = double.Parse(args[num]);
break;
case 'p':
parameters.P = double.Parse(args[num]);
break;
case 'h':
parameters.Shrinking = (int.Parse(args[num]) == 1);
break;
case 'b':
parameters.Probability = (int.Parse(args[num]) == 1);
break;
case 'v':
crossValidation = true;
nrfold = int.Parse(args[num]);
if (nrfold >= 2)
{
break;
}
throw new ArgumentException("n-fold cross validation: n must >= 2");
case 'w':
parameters.Weights[int.Parse(args[num - 1].Substring(2))] = double.Parse(args[1]);
break;
default:
throw new ArgumentException("Unknown Parameter");
}
num++;
}
if (num >= args.Length)
{
throw new ArgumentException("No input file specified");
}
problem = Problem.Read(args[num]);
if (parameters.Gamma == 0.0)
{
parameters.Gamma = 1.0 / (double)problem.MaxIndex;
}
if (num < args.Length - 1)
{
modelFilename = args[num + 1];
}
else
{
int startIndex = args[num].LastIndexOf('/') + 1;
modelFilename = args[num].Substring(startIndex) + ".model";
}
}
