public static double[] Predict(this SVMProblem problem, SVMModel model)
{
IntPtr ptr_model = SVMModel.Allocate(model);
double[] target = problem.X.Select(x => x.Predict(ptr_model)).ToArray();
SVMModel.Free(ptr_model);
return(target);
}
public void SetModel(SVMModel model)
{
if (model != null)
{
Model = model.Clone();
_ptr_model = SVMModel.Allocate(Model);
}
}
public static double[] PredictValues(this SVMProblem problem, SVMModel model, out List <double[]> valuesList)
{
IntPtr ptr_model = SVMModel.Allocate(model);
List <double[]> temp = new List <double[]>();
double[] target = problem.X.Select(x =>
{
double[] estimations;
double y = x.PredictProbability(ptr_model, out estimations);
temp.Add(estimations);
return(y);
}).ToArray();
SVMModel.Free(ptr_model);
valuesList = temp;
return(target);
}