while ((next = termsEnum.next()) != null) {
// TODO : turn it to be in log scale
double clVal = calculatePrior(next) * calculateLikelihood(tokenizedDoc, next);
if (clVal > max) {
max = clVal;
foundClass = next.clone();
}
}
return new ClassificationResult<BytesRef>(foundClass, max);
}