FCNn.hpp

/*
 * FCNn.hpp
 * 
 * Copyright 2018 Fernando Pujaico Rivera <fernando.pujaico.rivera@gmail.com>
 * 
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
 * MA 02110-1301, USA.
 * 
 */
 
#ifndef __PDS_FCNN_HPP__
#define __PDS_FCNN_HPP__
 
#include <string>
#include <Pds/Ra>
#include <Pds/FCLayer>
#include <Pds/AbstractLayer>
 
namespace Pds{
 
 
class FCNn: public AbstractLayer
{
 
private:
    // Número de capas (contando la capa de entrada)
    unsigned int K;
    // Número de neuronas en cada capa (contando la capa de entrada)
    std::vector<unsigned int> N;
    // Valor de las neuronas en cada capa (contando la capa de entrada)
    std::vector<Pds::Vector> a;
    // Layer
    std::vector<Pds::FCLayer> L;
public:
 
    FCNn(void);
    
    FCNn(std::vector<unsigned int> N);
 
    FCNn(std::vector<unsigned int> N, double(*func)(double), double(*dfunc)(double));    
 
    
    FCNn(std::string filepath);
    
    FCNn(const Pds::FCNn &B);
    
    ~FCNn(); 
    
public:
    bool Rand(double minval,double maxval);
    
    bool SetActFunc(unsigned int k,double (*func)(double),double (*dfunc)(double));
    
    bool SetActFunc(double (*func)(double),double (*dfunc)(double));
 
    
public:
    bool Save(std::string filename);
    
    bool Load(std::string filename);
    
    std::string ExportXmlToString(void) const;
    
    bool ImportXmlFromString(   const std::string &str);
    
    bool ExportXmlToStream(std::ofstream &myfile) const;
    
public:
    Pds::TensorBlock PredictTensor(const Pds::TensorBlock &In) const;
    
    
    Pds::SampleBlock Predict(const Pds::SampleBlock &In) const;
    
    Pds::Vector Predict(const Pds::Vector &In) const;
    
  
 
    
    bool Predict(const Pds::Matrix &XIn, Pds::Matrix &YOut) const; 
    
    Pds::Vector PredictPlus(const Pds::Vector &In);
    
    bool PredictPlus(const Pds::Vector &In, Pds::Vector &Out); 
    
public:
    bool Training(const Pds::Matrix &X,const Pds::Matrix &Y,double alpha,double lambda);  
    
 
 
public:
    bool IsEmpty(void) const;
    
    unsigned int Ninputs(void) const;
    
    unsigned int Noutputs(void) const;
    
    unsigned int GetK(void) const;
    
    Pds::Shape GetInputShape(void) const;
    
    
    Pds::Shape GetOutputShape(const Pds::Shape &In) const;
    
public:
    void MakeEmpty(void);
    
    void Print(std::string str="") const;
 
    void PrintStylized(std::string str="") const;
    
    void Summary(unsigned int width=12) const;
    
    unsigned int SummaryLine(unsigned int width=12) const;
    
    Pds::AbstractLayer* Clone(void)
    {
      return new Pds::FCNn(*this);
    }
    
}; // Class FCNn
 
} // namespace Pds
 
 
#endif