Add XBAODE & XSpode classifiers

bayesnet/ensembles/XBAODE.h

@@ -0,0 +1,36 @@
+// ***************************************************************
+// SPDX-FileCopyrightText: Copyright 2025 Ricardo Montañana Gómez
+// SPDX-FileType: SOURCE
+// SPDX-License-Identifier: MIT
+// ***************************************************************
+
+#ifndef XBAODE_H
+#define XBAODE_H
+#include <vector>
+#include <cmath>
+#include <algorithm>
+
+#include <limits>
+#include "bayesnet/classifiers/XSPODE.h"
+#include "Boost.h"
+
+namespace bayesnet {
+    class XBAODE : public Boost {
+
+        // Hay que hacer un vector de modelos entrenados y hacer un predict ensemble con todos ellos
+        // Probar XA1DE con smooth original y laplace y comprobar diferencias si se pasan pesos a 1 o a 1/m
+    public:
+        XBAODE();
+        std::string getVersion() override { return version; };
+    protected:
+        void trainModel(const torch::Tensor& weights, const bayesnet::Smoothing_t smoothing) override;
+    private:
+        void add_model(std::unique_ptr<Classifier> model, double significance);
+        void remove_last_model();
+        std::vector<int> initializeModels(const Smoothing_t smoothing);
+        std::vector<std::vector<int>> X_train_, X_test_;
+        std::vector<int> y_train_, y_test_;
+        std::string version = "0.9.7";
+    };
+}
+#endif // XBAODE_H