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