mirror of https://github.com/Relintai/pmlpp.git
87 lines
2.0 KiB
C++
87 lines
2.0 KiB
C++
|
|
#ifndef MLPP_SOFTMAX_REG_H
|
|
#define MLPP_SOFTMAX_REG_H
|
|
|
|
//
|
|
// SoftmaxReg.hpp
|
|
//
|
|
// Created by Marc Melikyan on 10/2/20.
|
|
//
|
|
|
|
#include "core/math/math_defs.h"
|
|
|
|
#include "core/object/reference.h"
|
|
|
|
#include "../lin_alg/mlpp_matrix.h"
|
|
#include "../lin_alg/mlpp_vector.h"
|
|
|
|
#include "../regularization/reg.h"
|
|
|
|
class MLPPSoftmaxReg : public Reference {
|
|
GDCLASS(MLPPSoftmaxReg, Reference);
|
|
|
|
public:
|
|
Ref<MLPPMatrix> get_input_set();
|
|
void set_input_set(const Ref<MLPPMatrix> &val);
|
|
|
|
Ref<MLPPMatrix> get_output_set();
|
|
void set_output_set(const Ref<MLPPMatrix> &val);
|
|
|
|
MLPPReg::RegularizationType get_reg();
|
|
void set_reg(const MLPPReg::RegularizationType val);
|
|
|
|
real_t get_lambda();
|
|
void set_lambda(const real_t val);
|
|
|
|
real_t get_alpha();
|
|
void set_alpha(const real_t val);
|
|
|
|
Ref<MLPPVector> model_test(const Ref<MLPPVector> &x);
|
|
Ref<MLPPMatrix> model_set_test(const Ref<MLPPMatrix> &X);
|
|
|
|
void gradient_descent(real_t learning_rate, int max_epoch, bool ui = false);
|
|
void sgd(real_t learning_rate, int max_epoch, bool ui = false);
|
|
void mbgd(real_t learning_rate, int max_epoch, int mini_batch_size, bool ui = false);
|
|
|
|
real_t score();
|
|
|
|
void save(const String &file_name);
|
|
|
|
bool is_initialized();
|
|
void initialize();
|
|
|
|
MLPPSoftmaxReg(const Ref<MLPPMatrix> &p_input_set, const Ref<MLPPMatrix> &p_output_set, MLPPReg::RegularizationType p_reg = MLPPReg::REGULARIZATION_TYPE_NONE, real_t p_lambda = 0.5, real_t p_alpha = 0.5);
|
|
|
|
MLPPSoftmaxReg();
|
|
~MLPPSoftmaxReg();
|
|
|
|
protected:
|
|
real_t cost(const Ref<MLPPMatrix> &y_hat, const Ref<MLPPMatrix> &y);
|
|
|
|
Ref<MLPPVector> evaluatev(const Ref<MLPPVector> &x);
|
|
Ref<MLPPMatrix> evaluatem(const Ref<MLPPMatrix> &X);
|
|
|
|
void forward_pass();
|
|
|
|
static void _bind_methods();
|
|
|
|
Ref<MLPPMatrix> _input_set;
|
|
Ref<MLPPMatrix> _output_set;
|
|
Ref<MLPPMatrix> _y_hat;
|
|
Ref<MLPPMatrix> _weights;
|
|
Ref<MLPPVector> _bias;
|
|
|
|
int _n;
|
|
int _k;
|
|
int _n_class;
|
|
|
|
// Regularization Params
|
|
MLPPReg::RegularizationType _reg;
|
|
real_t _lambda;
|
|
real_t _alpha; /* This is the controlling param for Elastic Net*/
|
|
|
|
bool _initialized;
|
|
};
|
|
|
|
#endif /* SoftmaxReg_hpp */
|