public void AddPoint(TrainPoint point)
{
Points.Add(point);
}
public virtual double Apply(TrainPoint point)
{
throw new NotImplementedException();
}
public override double Apply(TrainPoint point)
{
var coefsString = ListToString(point.getRequest());
var modelString = ListToString(Items.Select(x => x.Val));
Mathematica.Calc(coefsString + "." + modelString);
var res = Mathematica.Result.GetDouble();
//Console.WriteLine(res);
return res;
}
public override double Apply(TrainPoint point)
{
Mathematica.Load(TrainPointsList.load_NormalizeMaxMin_Vector + TrainPointsList.load_getRequestGetAnswer);
Mathematica.LoadVar("Normilized", TrainPointsList.getNormalizedMaxMin_Vector(ListToString(point.getRequest()),
ListToString(max_values.Select(x => x.Val)),
ListToString(min_values.Select(x => x.Val))));
Mathematica.Calc("Normilized . " + ListToString(Items.Select(x => x.Val)));
return Mathematica.Result.GetDouble();
}
public override double Apply(TrainPoint point)
{
double[] up, down;
TrainPointsList.NormalizationMinMax_Scenario(PointsFile, out up, out down);
Mathematica.LoadVar("Normilized", TrainPointsList.getNormalizedMaxMin_Vector(ListToString(point.getRequest()),
ListToString(max_values.Select(x => x.Val)),
ListToString(min_values.Select(x => x.Val))));
Mathematica.Calc(getAgreggate( getNearest("NormalizedGivenData", "givenAnswer", "Normilized", kNeighbour.ToString())));
return Mathematica.Result.GetDouble();
}
