Add tests to reach 90% coverage
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@@ -3,19 +3,6 @@
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namespace bayesnet {
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AODELd::AODELd(bool predict_voting) : Ensemble(predict_voting), Proposal(dataset, features, className)
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{
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validHyperparameters = { "predict_voting" };
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}
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void AODELd::setHyperparameters(const nlohmann::json& hyperparameters_)
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{
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auto hyperparameters = hyperparameters_;
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if (hyperparameters.contains("predict_voting")) {
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predict_voting = hyperparameters["predict_voting"];
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hyperparameters.erase("predict_voting");
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}
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if (!hyperparameters.empty()) {
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throw std::invalid_argument("Invalid hyperparameters" + hyperparameters.dump());
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}
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}
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AODELd& 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_)
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{
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@@ -10,7 +10,6 @@ namespace bayesnet {
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AODELd(bool predict_voting = true);
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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_) override;
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void setHyperparameters(const nlohmann::json& hyperparameters) override;
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std::vector<std::string> graph(const std::string& name = "AODELd") const override;
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protected:
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void trainModel(const torch::Tensor& weights) override;
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