BayesNet/bayesnet/classifiers/KDBLd.h

24 lines
912 B
C++

// ***************************************************************
// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
// SPDX-FileType: SOURCE
// SPDX-License-Identifier: MIT
// ***************************************************************
#ifndef KDBLD_H
#define KDBLD_H
#include "Proposal.h"
#include "KDB.h"
namespace bayesnet {
class KDBLd : public KDB, public Proposal {
private:
public:
explicit KDBLd(int k);
virtual ~KDBLd() = default;
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;
std::vector<std::string> graph(const std::string& name = "KDB") const override;
torch::Tensor predict(torch::Tensor& X) override;
static inline std::string version() { return "0.0.1"; };
};
}
#endif // !KDBLD_H