2023-01-24 18:57:18 +01:00
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#ifndef MLPP_BERNOULLI_NB_H
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#define MLPP_BERNOULLI_NB_H
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2023-01-23 21:13:26 +01:00
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//
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// BernoulliNB.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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2023-01-27 13:01:16 +01:00
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#include "core/math/math_defs.h"
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2023-01-23 21:13:26 +01:00
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#include <map>
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2023-01-24 19:00:54 +01:00
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#include <vector>
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2023-01-24 19:29:29 +01:00
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class MLPPBernoulliNB {
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2023-01-24 19:00:54 +01:00
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public:
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2023-02-12 14:12:02 +01:00
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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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2023-01-27 13:01:16 +01:00
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real_t score();
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2023-01-24 19:00:54 +01:00
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2023-02-12 14:12:02 +01:00
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MLPPBernoulliNB(std::vector<std::vector<real_t>> p_input_set, std::vector<real_t> p_output_set);
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MLPPBernoulliNB();
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~MLPPBernoulliNB();
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2023-01-24 19:00:54 +01:00
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private:
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2023-02-12 14:12:02 +01:00
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void compute_vocab();
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void compute_theta();
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void evaluate();
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2023-01-24 19:00:54 +01:00
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// Model Params
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2023-02-12 14:12:02 +01:00
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real_t _prior_1;
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real_t _prior_0;
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2023-01-24 19:00:54 +01:00
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2023-02-12 14:12:02 +01:00
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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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2023-01-24 19:00:54 +01:00
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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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};
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2023-01-23 21:13:26 +01:00
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2023-01-24 19:20:18 +01:00
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#endif /* BernoulliNB_hpp */
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