public SVMModel readModelFile(string modelFile)
{
SVMModel mm = new SVMModel();
string posClassName;
string negClassName;
double[] weight;
double b;
string[] allLines = File.ReadAllLines(modelFile);
string[] posClassLineParts = allLines[0].Split(' ');
posClassName = posClassLineParts[1];
string[] negClassLineParts = allLines[1].Split(' ');
negClassName = negClassLineParts[1];
string[] wtstr = allLines[2].Split(' ');
weight = new double[wtstr.Count()];
for (int w = 0; w < wtstr.Count(); w++)
{
if (!string.IsNullOrWhiteSpace(wtstr[w]))
{
weight[w] = double.Parse(wtstr[w]);
}
}
string bstr = allLines[3];
b = 0.0;
if (!string.IsNullOrWhiteSpace(bstr))
{
b = double.Parse(bstr);
}
mm.b = b;
mm.weight = weight;
mm.posClassName = posClassName;
mm.negClassName = negClassName;
return(mm);
}
public string classifyUsingModel(List <feature> featurevalues, SVMModel sm)
{
double svmOut = weightDotProduct(sm.weight, featurevalues);
return((svmOut - sm.b) > Double.Epsilon ? sm.posClassName : sm.negClassName);
}
