pmlpp/mlpp/outlier_finder/outlier_finder_old.cpp
2023-02-09 15:30:14 +01:00

43 lines
1.1 KiB
C++

//
// OutlierFinder.cpp
//
// Created by Marc Melikyan on 11/13/20.
//
#include "outlier_finder_old.h"
#include "../stat/stat.h"
#include <iostream>
MLPPOutlierFinderOld::MLPPOutlierFinderOld(int threshold) :
threshold(threshold) {
}
std::vector<std::vector<real_t>> MLPPOutlierFinderOld::modelSetTest(std::vector<std::vector<real_t>> inputSet) {
MLPPStat stat;
std::vector<std::vector<real_t>> outliers;
outliers.resize(inputSet.size());
for (uint32_t i = 0; i < inputSet.size(); i++) {
for (uint32_t j = 0; j < inputSet[i].size(); j++) {
real_t z = (inputSet[i][j] - stat.mean(inputSet[i])) / stat.standardDeviation(inputSet[i]);
if (abs(z) > threshold) {
outliers[i].push_back(inputSet[i][j]);
}
}
}
return outliers;
}
std::vector<real_t> MLPPOutlierFinderOld::modelTest(std::vector<real_t> inputSet) {
MLPPStat stat;
std::vector<real_t> outliers;
for (uint32_t i = 0; i < inputSet.size(); i++) {
real_t z = (inputSet[i] - stat.mean(inputSet)) / stat.standardDeviation(inputSet);
if (abs(z) > threshold) {
outliers.push_back(inputSet[i]);
}
}
return outliers;
}