public override void Predict(TextClassificationProblem problem, TextExample text, ref ClassificationResult result)
{
int j = 0, k; // j is index in categories, while k is index in vocabulary.
double logv;
Vocabulary voc;
voc = problem.TrainingSetVocabulary;
foreach (Category c in m_CategoryCollection.Collection)
{
logv = 0.0; // reset
logv += Math.Log(m_prob_vj[j]);
// for all the word (token) in the text
foreach (string token in text.Tokens.Keys)
{
if (voc.WordBag.ContainsKey(token))
{
// Get the position of this token
// in m_TotalTrainingSetTokens.
k = voc.WordPositionMap[token];
// Look up the probability in the table.
logv += m_prob_wk_vj_log[k, j];
}
}
result.CategoryName2LogVMap.Add(c.Name, logv);
j++; // next category
}
result.Normalize();
}
