rmontanana/BayesNet
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BayesNet 1.0.5
Bayesian Network Classifiers using libtorch from scratch
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TANLd.h
1// ***************************************************************
2// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
3// SPDX-FileType: SOURCE
4// SPDX-License-Identifier: MIT
5// ***************************************************************
6
7#ifndef TANLD_H
8#define TANLD_H
9#include "TAN.h"
10#include "Proposal.h"
11
12namespace bayesnet {
13 class TANLd : public TAN, public Proposal {
14 private:
15 public:
16 TANLd();
17 virtual ~TANLd() = default;
18 TANLd& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states) override;
19 std::vector<std::string> graph(const std::string& name = "TAN") const override;
20 torch::Tensor predict(torch::Tensor& X) override;
21 static inline std::string version() { return "0.0.1"; };
22 };
23}
24#endif // !TANLD_H
bayesnet::Proposal
Definition Proposal.h:17
bayesnet::TAN
Definition TAN.h:11
bayesnet::TANLd
Definition TANLd.h:13
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