public int Classify(DataRow row)
{
if (IsLeaf)
{
return Classification;
}
foreach(var kvp in _children)
{
if(kvp.Value(row))
{
return kvp.Key.Classify(row);
}
}
return 0;
}
private double ProbabiltyOfClassification(DataRow row, int classification)
{
double chanceOfClassification = GetProbabilityOfClassification(classification);
List<BayesContainer> probability = _probabilities[classification];
foreach(var attr in _attributes)
{
// evil extra loop... whatever. I don't care about speed here
foreach(var container in probability)
{
if (container.Attribute == attr)
chanceOfClassification *= container.Probability;
}
}
return chanceOfClassification;
}
private double GetWeightedSum(DataRow row)
{
double weightedSum = 0;
for (int x = 0; x < _edges.Count; x++)
{
Edge currentEdge = _edges[x];
weightedSum += currentEdge.Weight * row.RetrieveValueAsInt(currentEdge.Attribute);
}
// now that we have the weighted sum, lets sigmoid it
return weightedSum;
}
