public int ComputeProbabilisticDestinationFloor(int currentFloor, int floorBound)
{
double[] distrib = new double[floorBound + 1];
ProbabilityHelper.SetUniformDistribution(distrib);
int expected = currentFloor + RelativeFloor;
if (expected <= floorBound && expected >= 0)
{
distrib[expected] = SuccessProb;
ProbabilityHelper.NormalizePdf(distrib, 0);
}
ProbabilityHelper.PdfToCdf(distrib);
return(ProbabilityHelper.Sample(distrib));
}
/// <summary>
/// Получить вероятностный индекс класса по распределению из матрицы ошибок
/// </summary>
/// <param name="trueClassName">Истинное название класса</param>
/// <returns></returns>
public int GetProbabalisticClassIndex(string trueClassName)
{
int trueClassIndex = Array.IndexOf(KnownClasses, trueClassName);
if (trueClassIndex == -1)
{
trueClassIndex = Array.IndexOf(KnownClasses, ModelBase.UnknownClassName);
}
double[] distrib = new double[KnownClasses.Length];
for (int i = 0; i < KnownClasses.Length; i++)
{
distrib[i] = ConfusionMatrix[trueClassIndex, i];
}
ProbabilityHelper.NormalizePdf(distrib, 0);
ProbabilityHelper.PdfToCdf(distrib);
return(ProbabilityHelper.Sample(distrib));
}