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.
26 lines
870 B
C++
26 lines
870 B
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 KDB_H
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#define KDB_H
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#include <torch/torch.h>
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#include "Classifier.h"
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namespace bayesnet {
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class KDB : public Classifier {
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public:
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explicit KDB(int k, float theta = 0.03);
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virtual ~KDB() = default;
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void setHyperparameters(const nlohmann::json& hyperparameters_) override;
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std::vector<std::string> graph(const std::string& name = "KDB") const override;
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protected:
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int k;
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float theta;
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void add_m_edges(int idx, std::vector<int>& S, torch::Tensor& weights);
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void buildModel(const torch::Tensor& weights) override;
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};
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}
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#endif
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