Refactor sample to be out of main CMakeLists
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78
sample/lib/mdlp/Metrics.cpp
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78
sample/lib/mdlp/Metrics.cpp
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#include "Metrics.h"
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#include <set>
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#include <cmath>
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using namespace std;
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namespace mdlp {
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Metrics::Metrics(labels_t& y_, indices_t& indices_): y(y_), indices(indices_),
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numClasses(computeNumClasses(0, indices.size()))
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{
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}
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int Metrics::computeNumClasses(size_t start, size_t end)
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{
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set<int> nClasses;
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for (auto i = start; i < end; ++i) {
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nClasses.insert(y[indices[i]]);
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}
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return static_cast<int>(nClasses.size());
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}
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void Metrics::setData(const labels_t& y_, const indices_t& indices_)
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{
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indices = indices_;
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y = y_;
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numClasses = computeNumClasses(0, indices.size());
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entropyCache.clear();
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igCache.clear();
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}
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precision_t Metrics::entropy(size_t start, size_t end)
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{
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precision_t p;
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precision_t ventropy = 0;
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int nElements = 0;
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labels_t counts(numClasses + 1, 0);
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if (end - start < 2)
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return 0;
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if (entropyCache.find({ start, end }) != entropyCache.end()) {
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return entropyCache[{start, end}];
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}
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for (auto i = &indices[start]; i != &indices[end]; ++i) {
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counts[y[*i]]++;
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nElements++;
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}
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for (auto count : counts) {
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if (count > 0) {
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p = static_cast<precision_t>(count) / static_cast<precision_t>(nElements);
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ventropy -= p * log2(p);
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}
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}
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entropyCache[{start, end}] = ventropy;
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return ventropy;
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}
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precision_t Metrics::informationGain(size_t start, size_t cut, size_t end)
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{
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precision_t iGain;
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precision_t entropyInterval;
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precision_t entropyLeft;
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precision_t entropyRight;
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size_t nElementsLeft = cut - start;
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size_t nElementsRight = end - cut;
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size_t nElements = end - start;
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if (igCache.find(make_tuple(start, cut, end)) != igCache.end()) {
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return igCache[make_tuple(start, cut, end)];
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}
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entropyInterval = entropy(start, end);
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entropyLeft = entropy(start, cut);
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entropyRight = entropy(cut, end);
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iGain = entropyInterval -
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(static_cast<precision_t>(nElementsLeft) * entropyLeft +
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static_cast<precision_t>(nElementsRight) * entropyRight) /
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static_cast<precision_t>(nElements);
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igCache[make_tuple(start, cut, end)] = iGain;
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return iGain;
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}
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}
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