Ricardo Montañana Gómez
9f3de4d924
- *ld_algorithm*: algorithm to use for local discretization, with the following options: "MDLP", "BINQ", "BINU". - *ld_proposed_cuts*: number of cut points to return. - *mdlp_min_length*: minimum length of a partition in MDLP algorithm to be evaluated for partition. - *mdlp_max_depth*: maximum level of recursion in MDLP algorithm.
25 lines
1.0 KiB
C++
25 lines
1.0 KiB
C++
// ***************************************************************
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// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
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// SPDX-FileType: SOURCE
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// SPDX-License-Identifier: MIT
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// ***************************************************************
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#ifndef KDBLD_H
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#define KDBLD_H
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#include "Proposal.h"
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#include "KDB.h"
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namespace bayesnet {
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class KDBLd : public KDB, public Proposal {
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public:
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explicit KDBLd(int k);
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virtual ~KDBLd() = default;
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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, const Smoothing_t smoothing) override;
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std::vector<std::string> graph(const std::string& name = "KDB") const override;
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void setHyperparameters(const nlohmann::json& hyperparameters_) override;
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torch::Tensor predict(torch::Tensor& X) override;
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torch::Tensor predict_proba(torch::Tensor& X) override;
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static inline std::string version() { return "0.0.1"; };
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};
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}
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#endif // !KDBLD_H
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