mirror of https://github.com/Relintai/pmlpp.git
43 lines
1.1 KiB
C++
43 lines
1.1 KiB
C++
//
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// OutlierFinder.cpp
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//
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// Created by Marc Melikyan on 11/13/20.
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//
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#include "outlier_finder_old.h"
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#include "../stat/stat_old.h"
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#include <iostream>
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MLPPOutlierFinderOld::MLPPOutlierFinderOld(int threshold) :
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threshold(threshold) {
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}
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std::vector<std::vector<real_t>> MLPPOutlierFinderOld::modelSetTest(std::vector<std::vector<real_t>> inputSet) {
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MLPPStatOld stat;
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std::vector<std::vector<real_t>> outliers;
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outliers.resize(inputSet.size());
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for (uint32_t i = 0; i < inputSet.size(); i++) {
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for (uint32_t j = 0; j < inputSet[i].size(); j++) {
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real_t z = (inputSet[i][j] - stat.mean(inputSet[i])) / stat.standardDeviation(inputSet[i]);
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if (abs(z) > threshold) {
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outliers[i].push_back(inputSet[i][j]);
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}
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}
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}
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return outliers;
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}
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std::vector<real_t> MLPPOutlierFinderOld::modelTest(std::vector<real_t> inputSet) {
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MLPPStatOld stat;
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std::vector<real_t> outliers;
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for (uint32_t i = 0; i < inputSet.size(); i++) {
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real_t z = (inputSet[i] - stat.mean(inputSet)) / stat.standardDeviation(inputSet);
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if (abs(z) > threshold) {
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outliers.push_back(inputSet[i]);
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}
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}
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return outliers;
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}
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