public void GetLikelyhood(DataSample sample, ClassLikelyhood[] result)
{
var matched = new int[Classes];
var currentIindex = 0;
foreach (var dataPoint in sample.DataPoints)
{
var itemsFound = 0;
for (int index = 0; index < Classes; index++)
{
if (matched[index] != 0)
{
continue;
}
var value = Convert.ToDouble(dataPoint.Value);
var prob = _distribution[index, dataPoint.ColumnId].GetProbability(value) *
_classesProbablityDistribution.GetProbability(index);
if (prob > Double.Epsilon)
{
result[currentIindex + itemsFound].ClassId = index;
result[currentIindex + itemsFound].Value = prob;
itemsFound++;
matched[index]++;
}
}
if (itemsFound > 0)
{
Array.Sort(result, currentIindex, itemsFound, _comparerLikelyhood);
currentIindex = currentIindex + itemsFound;
}
if (currentIindex >= 5)
{
return;
}
}
if (currentIindex < 5)
{
for (int index = 0; index < Classes; index++)
{
if (matched[index] != 0)
{
continue;
}
var prob = _classesProbablityDistribution.GetProbability(index);
result[currentIindex + index].ClassId = index;
result[currentIindex + index].Value = prob;
}
Array.Sort(result, currentIindex, Classes, _comparerLikelyhood);
}
}
