bool StrongClassifier::decide(const FeatureVector &featureVector) const {
std::vector<float> features(featureVector.size());
for (int i=0; i<featureVector.size(); i++) {
features[i] = featureVector.at(i);
}
return decide(features);
}
/**************************************
* Fucntion: is_classifier_correct
* -------------------------------
* returns true if weak classifier (wc) correctly identified the
* feature vector (fv), false otherwise.
*/
bool AdaBooster::is_classifier_correct(WeakClassifier &wc, FeatureVector &fv){
// check if threshold is greater than (or equal to) feature
bool guess = ( wc.threshold() >= fv.at(wc.dimension()) );
// if classifier is flipped, negate guess
guess = wc.isFlipped() ? !guess : guess;
// find actual value of point
bool real = ( fv.val() == POS );
// return if guess and real agree
return ( real == guess );
}