| 23 | vector<float> deviations; |
| 24 | |
| 25 | void calculate() { |
| 26 | if (deviations.empty()) { |
| 27 | average = median = max = min = 0.0f; |
| 28 | return; |
| 29 | } |
| 30 | |
| 31 | // Sort for median calculation |
| 32 | sort(deviations.begin(), deviations.end()); |
| 33 | |
| 34 | // Calculate average |
| 35 | float sum = 0.0f; |
| 36 | for (size_t i = 0; i < deviations.size(); ++i) { |
| 37 | sum += deviations[i]; |
| 38 | } |
| 39 | average = sum / deviations.size(); |
| 40 | |
| 41 | // Calculate median |
| 42 | size_t mid = deviations.size() / 2; |
| 43 | if (deviations.size() % 2 == 0) { |
| 44 | median = (deviations[mid - 1] + deviations[mid]) / 2.0f; |
| 45 | } else { |
| 46 | median = deviations[mid]; |
| 47 | } |
| 48 | |
| 49 | // Min and max |
| 50 | min = deviations.front(); |
| 51 | max = deviations.back(); |
| 52 | } |
| 53 | |
| 54 | void print(const char* function_name) const { |
| 55 | FL_WARN(function_name << " Accuracy Statistics:"); |