private void Categorize(string prefix, double thresh, SparseVector <double> vec, ArrayList <string> categories)
{
if (!mModel.ContainsKey(prefix))
{
categories.Add(prefix);
return;
}
IModel <string> classifier = mModel[prefix];
Prediction <string> p = ((IModel <string>)classifier).Predict(ModelUtils.ConvertExample(vec, classifier.RequiredExampleType));
double maxSim = p.Count == 0 ? 0 : p.BestScore;
foreach (KeyDat <double, string> item in p)
{
if (item.Key == 0)
{
break;
}
double score = item.Key / maxSim;
if (score < thresh)
{
break;
}
Categorize(prefix + item.Dat + '/', thresh, vec, categories);
}
}
public override Prediction <LblT> Predict(SparseVector <double> example)
{
return(mModel.Predict((BinaryVector)ModelUtils.ConvertExample(example, typeof(BinaryVector))));
}