pmlpp/mlpp/gaussian_nb/gaussian_nb.h

66 lines
1.2 KiB
C++

#ifndef MLPP_GAUSSIAN_NB_H
#define MLPP_GAUSSIAN_NB_H
//
// GaussianNB.hpp
//
// Created by Marc Melikyan on 1/17/21.
//
#include "core/math/math_defs.h"
#include "core/object/reference.h"
#include "../lin_alg/mlpp_matrix.h"
#include "../lin_alg/mlpp_vector.h"
class MLPPGaussianNB : public Reference {
GDCLASS(MLPPGaussianNB, Reference);
public:
/*
Ref<MLPPMatrix> get_input_set();
void set_input_set(const Ref<MLPPMatrix> &val);
Ref<MLPPVector> get_output_set();
void set_output_set(const Ref<MLPPVector> &val);
int get_class_num();
void set_class_num(const int val);
*/
Ref<MLPPVector> model_set_test(const Ref<MLPPMatrix> &X);
real_t model_test(const Ref<MLPPVector> &x);
real_t score();
bool is_initialized();
void initialize();
MLPPGaussianNB(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPVector> &p_output_set, int p_class_num);
MLPPGaussianNB();
~MLPPGaussianNB();
protected:
void evaluate();
static void _bind_methods();
int _class_num;
Ref<MLPPVector> _priors;
Ref<MLPPVector> _mu;
Ref<MLPPVector> _sigma;
Ref<MLPPMatrix> _input_set;
Ref<MLPPVector> _output_set;
Ref<MLPPVector> _y_hat;
bool _initialized;
};
#endif /* GaussianNB_hpp */