private static void ManualRS(string train)
{
List <ModelInput2> db = new List <ModelInput2>();
using (StreamReader sr = new StreamReader(train))
{
string line = sr.ReadLine();
while ((line = sr.ReadLine()) != null)
{
ModelInput2 temp = new ModelInput2(line);
db.Add(temp);
}
}
Console.WriteLine("IloϾ linii: " + db.Count);
foreach (ModelInput2 sample in db)
{
Worker(sample);
if (iloscProb % 100 == 1)
{
rs = (float)iloscTrafien / (float)iloscProb;
Console.WriteLine("Trafienia: " + iloscTrafien + " pudla: " + iloscPudel + " suma prob: " + iloscProb);
Console.WriteLine("RS: " + rs);
}
}
Console.WriteLine("Trafienia: " + iloscTrafien + " pudla: " + iloscPudel + " suma prob: " + iloscProb);
rs = (float)iloscTrafien / (float)iloscProb;
Console.WriteLine("RS: " + rs);
Console.WriteLine("=============== End of process, hit any key to finish ===============");
Console.ReadKey();
}
private static void Worker(object num)
{
ModelInput2 sample = (ModelInput2)num;
var predictionResult = ConsumeModel2.Predict(sample);
double roznica = sample.TIME_TO_DELIVER - predictionResult.Score;
iloscProb++;
if (Math.Abs(roznica) > maximumInaccuracyInHours * 3600)
{
iloscPudel++;
}
else
{
iloscTrafien++;
}
}
