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#ifndef BASE_H
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#define BASE_H
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#include <torch/torch.h>
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#include <vector>
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namespace bayesnet {
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using namespace std;
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class BaseClassifier {
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public:
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virtual BaseClassifier& fit(vector<vector<int>>& X, vector<int>& y, vector<string>& features, string className, map<string, vector<int>>& states) = 0;
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virtual BaseClassifier& fit(torch::Tensor& X, torch::Tensor& y, vector<string>& features, string className, map<string, vector<int>>& states) = 0;
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torch::Tensor virtual predict(torch::Tensor& X) = 0;
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vector<int> virtual predict(vector<vector<int>>& X) = 0;
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float virtual score(vector<vector<int>>& X, vector<int>& y) = 0;
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float virtual score(torch::Tensor& X, torch::Tensor& y) = 0;
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int virtual getNumberOfNodes() = 0;
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int virtual getNumberOfEdges() = 0;
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int virtual getNumberOfStates() = 0;
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vector<string> virtual show() = 0;
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2023-07-31 17:53:55 +00:00
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vector<string> virtual graph(const string& title = "") = 0;
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virtual ~BaseClassifier() = default;
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const string inline getVersion() const { return "0.1.0"; };
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vector<string> virtual topological_order() = 0;
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};
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}
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#endif
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