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//
// Created by martin on 7/15/18.
//
#ifndef INC_4NEURO_ERRORFUNCTION_H
#define INC_4NEURO_ERRORFUNCTION_H
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#include "../settings.h"
#include "../Network/NeuralNetwork.h"
#include "../DataSet/DataSet.h"
Martin Beseda
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Martin Beseda
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namespace lib4neuro {
enum ErrorFunctionType {
ErrorFuncMSE
};
class ErrorFunction {
public:
/**
*
* @param weights
* @return
*/
virtual double eval(std::vector<double> *weights = nullptr) = 0;
/**
*
* @return
*/
LIB4NEURO_API virtual size_t get_dimension();
protected:
/**
*
*/
size_t dimension = 0;
};
class MSE : public ErrorFunction {
public:
/**
* Constructor for single neural network
* @param net
* @param ds
*/
LIB4NEURO_API MSE(NeuralNetwork *net, DataSet *ds);
/**
*
* @param weights
* @return
*/
LIB4NEURO_API virtual double eval(std::vector<double> *weights = nullptr);
private:
NeuralNetwork *net;
DataSet *ds;
};
class ErrorSum : public ErrorFunction {
public:
/**
*
*/
LIB4NEURO_API ErrorSum();
/**
*
*/
LIB4NEURO_API ~ErrorSum();
/**
*
* @param weights
* @return
*/
LIB4NEURO_API virtual double eval(std::vector<double> *weights = nullptr);
/**
*
* @param F
*/
LIB4NEURO_API void add_error_function(ErrorFunction *F, double alpha = 1.0);
/**
*
* @return
*/
LIB4NEURO_API size_t get_dimension() override;
private:
std::vector<ErrorFunction *> *summand;
std::vector<double> *summand_coefficient;
};
}
#endif //INC_4NEURO_ERRORFUNCTION_H