Complete implementation with tests
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@@ -17,6 +17,10 @@ namespace bayesnet {
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virtual ~AODELd() = default;
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AODELd& 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 = "AODELd") const override;
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void setHyperparameters(const nlohmann::json& hyperparameters_) override
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{
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hyperparameters = hyperparameters_;
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}
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protected:
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void trainModel(const torch::Tensor& weights, const Smoothing_t smoothing) override;
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void buildModel(const torch::Tensor& weights) override;
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