double Sample::getPrediction(const Feature &feature) const {
if (!feature.indexIsCorrect()) {
throw new MessageException("incorrect feature index");
}
std::vector<bool> features;
features.reserve(FEATURE_NUMBER / 2);
features.push_back(
picture.getPixelIntensity(feature.getFirstPixel()) > picture.getPixelIntensity(feature.getSecondPixel()));
features.push_back(absDifferenceLessThan(picture, feature, 5));
features.push_back(absDifferenceLessThan(picture, feature, 10));
features.push_back(absDifferenceLessThan(picture, feature, 25));
features.push_back(absDifferenceLessThan(picture, feature, 50));
if (feature.getFeatureIndex() < FEATURE_NUMBER / 2) {
return features[feature.getFeatureIndex()];
} else {
return !features[feature.getFeatureIndex() - FEATURE_NUMBER / 2];
}
}
bool absDifferenceLessThan(const Picture picture, const Feature &feature, size_t maxDifference) {
return abs(
picture.getPixelIntensity(feature.getFirstPixel()) - picture.getPixelIntensity(feature.getSecondPixel())) <
maxDifference;
}
