Implement SPnDE and A2DE
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37
bayesnet/classifiers/SPnDE.cc
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37
bayesnet/classifiers/SPnDE.cc
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// ***************************************************************
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// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
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// SPDX-FileType: SOURCE
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// SPDX-License-Identifier: MIT
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// ***************************************************************
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#include "SPnDE.h"
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namespace bayesnet {
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SPnDE::SPnDE(std::vector<int> parents) : Classifier(Network()), parents(parents) {}
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void SPnDE::buildModel(const torch::Tensor& weights)
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{
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// 0. Add all nodes to the model
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addNodes();
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std::vector<int> attributes;
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for (int i = 0; i < static_cast<int>(features.size()); ++i) {
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if (std::find(parents.begin(), parents.end(), i) != parents.end()) {
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attributes.push_back(i);
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}
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}
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// 1. Add edges from the class node to all other nodes
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// 2. Add edges from the parents nodes to all other nodes
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for (const auto& attribute : attributes) {
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model.addEdge(className, features[attribute]);
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for (const auto& root : parents) {
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model.addEdge(features[root], features[attribute]);
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}
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}
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}
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std::vector<std::string> SPnDE::graph(const std::string& name) const
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{
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return model.graph(name);
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}
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}
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26
bayesnet/classifiers/SPnDE.h
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26
bayesnet/classifiers/SPnDE.h
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// ***************************************************************
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// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
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// SPDX-FileType: SOURCE
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// SPDX-License-Identifier: MIT
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// ***************************************************************
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#ifndef SPnDE_H
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#define SPnDE_H
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#include <vector>
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#include "Classifier.h"
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namespace bayesnet {
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class SPnDE : public Classifier {
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public:
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explicit SPnDE(std::vector<int> parents);
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virtual ~SPnDE() = default;
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std::vector<std::string> graph(const std::string& name = "SPnDE") const override;
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protected:
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void buildModel(const torch::Tensor& weights) override;
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private:
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std::vector<int> parents;
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};
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}
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#endif
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