Ricardo Montañana Gómez
86f2bc44fc
Add mdlp as library in lib/ Fix tests to reach 99.1% of coverage Reviewed-on: #31
40 lines
1.4 KiB
C++
40 lines
1.4 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 MST_H
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#define MST_H
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#include <vector>
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#include <string>
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#include <torch/torch.h>
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namespace bayesnet {
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class MST {
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public:
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MST() = default;
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MST(const std::vector<std::string>& features, const torch::Tensor& weights, const int root);
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void insertElement(std::list<int>& variables, int variable);
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std::vector<std::pair<int, int>> reorder(std::vector<std::pair<float, std::pair<int, int>>> T, int root_original);
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std::vector<std::pair<int, int>> maximumSpanningTree();
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private:
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torch::Tensor weights;
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std::vector<std::string> features;
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int root = 0;
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};
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class Graph {
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public:
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explicit Graph(int V);
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void addEdge(int u, int v, float wt);
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int find_set(int i);
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void union_set(int u, int v);
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void kruskal_algorithm();
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std::vector <std::pair<float, std::pair<int, int>>> get_mst() { return T; }
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private:
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int V; // number of nodes in graph
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std::vector <std::pair<float, std::pair<int, int>>> G; // std::vector for graph
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std::vector <std::pair<float, std::pair<int, int>>> T; // std::vector for mst
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std::vector<int> parent;
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};
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}
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#endif |