Implement SPnDE and A2DE

This commit is contained in:
2024-05-05 01:35:17 +02:00
parent 8115f25c06
commit f806015b29
7 changed files with 153 additions and 0 deletions

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

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// ***************************************************************
// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
// SPDX-FileType: SOURCE
// SPDX-License-Identifier: MIT
// ***************************************************************
#ifndef SPnDE_H
#define SPnDE_H
#include <vector>
#include "Classifier.h"
namespace bayesnet {
class SPnDE : public Classifier {
public:
explicit SPnDE(std::vector<int> parents);
virtual ~SPnDE() = default;
std::vector<std::string> graph(const std::string& name = "SPnDE") const override;
protected:
void buildModel(const torch::Tensor& weights) override;
private:
std::vector<int> parents;
};
}
#endif