rmontanana/BayesNet
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BayesNet 1.0.5
Bayesian Network Classifiers using libtorch from scratch
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Ensemble.h
1// ***************************************************************
2// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
3// SPDX-FileType: SOURCE
4// SPDX-License-Identifier: MIT
5// ***************************************************************
6
7#ifndef ENSEMBLE_H
8#define ENSEMBLE_H
9#include <torch/torch.h>
10#include "bayesnet/utils/BayesMetrics.h"
11#include "bayesnet/utils/bayesnetUtils.h"
12#include "bayesnet/classifiers/Classifier.h"
13
14namespace bayesnet {
15 class Ensemble : public Classifier {
16 public:
17 Ensemble(bool predict_voting = true);
18 virtual ~Ensemble() = default;
19 torch::Tensor predict(torch::Tensor& X) override;
20 std::vector<int> predict(std::vector<std::vector<int>>& X) override;
21 torch::Tensor predict_proba(torch::Tensor& X) override;
22 std::vector<std::vector<double>> predict_proba(std::vector<std::vector<int>>& X) override;
23 float score(torch::Tensor& X, torch::Tensor& y) override;
24 float score(std::vector<std::vector<int>>& X, std::vector<int>& y) override;
25 int getNumberOfNodes() const override;
26 int getNumberOfEdges() const override;
27 int getNumberOfStates() const override;
28 std::vector<std::string> show() const override;
29 std::vector<std::string> graph(const std::string& title) const override;
30 std::vector<std::string> topological_order() override
31 {
32 return std::vector<std::string>();
33 }
34 std::string dump_cpt() const override
35 {
36 return "";
37 }
38 protected:
39 torch::Tensor predict_average_voting(torch::Tensor& X);
40 std::vector<std::vector<double>> predict_average_voting(std::vector<std::vector<int>>& X);
41 torch::Tensor predict_average_proba(torch::Tensor& X);
42 std::vector<std::vector<double>> predict_average_proba(std::vector<std::vector<int>>& X);
43 torch::Tensor compute_arg_max(torch::Tensor& X);
44 std::vector<int> compute_arg_max(std::vector<std::vector<double>>& X);
45 torch::Tensor voting(torch::Tensor& votes);
46 unsigned n_models;
47 std::vector<std::unique_ptr<Classifier>> models;
48 std::vector<double> significanceModels;
49 void trainModel(const torch::Tensor& weights) override;
50 bool predict_voting;
51 };
52}
53#endif
bayesnet::Classifier
Definition Classifier.h:15
bayesnet::Ensemble
Definition Ensemble.h:15
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