Add tests to 90% coverage

bayesnet/ensembles/XBAODE.h

@@ -18,8 +18,6 @@ namespace bayesnet {
     protected:
         void trainModel(const torch::Tensor& weights, const bayesnet::Smoothing_t smoothing) override;
     private:
-        void add_model(std::unique_ptr<Classifier> model, double significance);
-        void remove_last_model();
         std::vector<int> initializeModels(const Smoothing_t smoothing);
         std::vector<std::vector<int>> X_train_, X_test_;
         std::vector<int> y_train_, y_test_;