36 lines
1.2 KiB
C++
36 lines
1.2 KiB
C++
// ***************************************************************
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// SPDX-FileCopyrightText: Copyright 2025 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 XBAODE_H
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#define XBAODE_H
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#include <vector>
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#include <cmath>
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#include <algorithm>
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#include <limits>
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#include "bayesnet/classifiers/XSPODE.h"
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#include "Boost.h"
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namespace bayesnet {
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class XBAODE : public Boost {
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// Hay que hacer un vector de modelos entrenados y hacer un predict ensemble con todos ellos
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// Probar XA1DE con smooth original y laplace y comprobar diferencias si se pasan pesos a 1 o a 1/m
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public:
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XBAODE();
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std::string getVersion() override { return version; };
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protected:
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void trainModel(const torch::Tensor& weights, const bayesnet::Smoothing_t smoothing) override;
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private:
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void add_model(std::unique_ptr<Classifier> model, double significance);
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void remove_last_model();
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std::vector<int> initializeModels(const Smoothing_t smoothing);
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std::vector<std::vector<int>> X_train_, X_test_;
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std::vector<int> y_train_, y_test_;
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std::string version = "0.9.7";
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};
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}
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#endif // XBAODE_H
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