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Besides anything else, it individualises the measure. E.g. two targets can each have a confidence of 0.8 without each giving the wrong answer about probability.
29 lines
768 B
C++
29 lines
768 B
C++
//
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// ConfidenceSummary.cpp
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// Clock Signal
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//
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// Created by Thomas Harte on 21/01/2018.
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// Copyright © 2018 Thomas Harte. All rights reserved.
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//
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#include "ConfidenceSummary.hpp"
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#include <cassert>
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#include <numeric>
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using namespace DynamicAnalyser;
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ConfidenceSummary::ConfidenceSummary(const std::vector<ConfidenceSource *> &sources, const std::vector<float> &weights) :
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sources_(sources), weights_(weights) {
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assert(weights.size() == sources.size());
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weight_sum_ = std::accumulate(weights.begin(), weights.end(), 0.0f);
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}
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float ConfidenceSummary::get_confidence() {
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float result = 0.0f;
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for(std::size_t index = 0; index < sources_.size(); ++index) {
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result += sources_[index]->get_confidence() * weights_[index];
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}
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return result / weight_sum_;
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}
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