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69 lines
1.3 KiB
C++
69 lines
1.3 KiB
C++
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#ifndef MLPP_MULTINOMIAL_NB_H
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#define MLPP_MULTINOMIAL_NB_H
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//
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// MultinomialNB.hpp
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//
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// Created by Marc Melikyan on 1/17/21.
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//
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#include "core/math/math_defs.h"
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#include "core/object/reference.h"
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#include "../lin_alg/mlpp_matrix.h"
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#include "../lin_alg/mlpp_vector.h"
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#include <map>
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#include <vector>
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class MLPPMultinomialNB : public Reference {
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GDCLASS(MLPPMultinomialNB, Reference);
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public:
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Ref<MLPPMatrix> get_input_set();
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void set_input_set(const Ref<MLPPMatrix> &val);
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Ref<MLPPVector> get_output_set();
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void set_output_set(const Ref<MLPPMatrix> &val);
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real_t get_class_num();
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void set_class_num(const real_t val);
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std::vector<real_t> model_set_test(std::vector<std::vector<real_t>> X);
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real_t model_test(std::vector<real_t> x);
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real_t score();
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bool is_initialized();
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void initialize();
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MLPPMultinomialNB(std::vector<std::vector<real_t>> _input_set, std::vector<real_t> _output_set, int class_num);
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MLPPMultinomialNB();
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~MLPPMultinomialNB();
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protected:
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void compute_theta();
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void evaluate();
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static void _bind_methods();
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// Model Params
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std::vector<real_t> _priors;
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std::vector<std::map<real_t, int>> _theta;
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std::vector<real_t> _vocab;
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int _class_num;
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// Datasets
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std::vector<std::vector<real_t>> _input_set;
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std::vector<real_t> _output_set;
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std::vector<real_t> _y_hat;
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bool _initialized;
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};
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#endif /* MultinomialNB_hpp */
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