mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-11-14 14:07:18 +01:00
66 lines
1.2 KiB
C++
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 */
|