pmlpp/mlpp/mann/mann.h

51 lines
1.4 KiB
C++

#ifndef MLPP_MANN_H
#define MLPP_MANN_H
//
// MANN.hpp
//
// Created by Marc Melikyan on 11/4/20.
//
#include "core/math/math_defs.h"
#include "../hidden_layer/hidden_layer.h"
#include "../multi_output_layer/multi_output_layer.h"
#include <string>
#include <vector>
class MLPPMANN {
public:
MLPPMANN(std::vector<std::vector<real_t>> inputSet, std::vector<std::vector<real_t>> outputSet);
~MLPPMANN();
std::vector<std::vector<real_t>> modelSetTest(std::vector<std::vector<real_t>> X);
std::vector<real_t> modelTest(std::vector<real_t> x);
void gradientDescent(real_t learning_rate, int max_epoch, bool UI = 1);
real_t score();
void save(std::string fileName);
void addLayer(int n_hidden, std::string activation, std::string weightInit = "Default", std::string reg = "None", real_t lambda = 0.5, real_t alpha = 0.5);
void addOutputLayer(std::string activation, std::string loss, std::string weightInit = "Default", std::string reg = "None", real_t lambda = 0.5, real_t alpha = 0.5);
private:
real_t Cost(std::vector<std::vector<real_t>> y_hat, std::vector<std::vector<real_t>> y);
void forwardPass();
std::vector<std::vector<real_t>> inputSet;
std::vector<std::vector<real_t>> outputSet;
std::vector<std::vector<real_t>> y_hat;
std::vector<MLPPOldHiddenLayer> network;
MLPPMultiOutputLayer *outputLayer;
int n;
int k;
int n_output;
};
#endif /* MANN_hpp */