DecisionTree.hpp

/*
 * DecisionTree.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_DECISIONTREE_HPP__
#define __PDS_DECISIONTREE_HPP__
 
 
#include <Pds/Ra>
#include <Pds/IterationConf>
#include <Pds/Perceptron>
 
#include <sstream>      // std::ostringstream
 
namespace Pds{
 
class DecisionTree
{
private:
    Pds::Perceptron P;
 
    Pds::DecisionTree *LeftTree;
    
    Pds::DecisionTree *RightTree;
 
public:
 
    static unsigned int Counter;
        
        DecisionTree(void); 
        
        DecisionTree(const std::string &filename);
 
        DecisionTree(const Pds::DecisionTree &Arbol);
 
        DecisionTree(   std::string Type,
                        Pds::IterationConf Conf,
                        const Pds::Matrix &X,
                        const Pds::Vector &Y,
                        double StopBinaryIG=0.95,
                        unsigned int StopSamples=4,
                        unsigned int StopDeep=0,
                        double Delta=0.001);
 
 
        DecisionTree(   const Pds::Matrix &X,
                        const Pds::Vector &Y,
                        double StopBinaryIG=0.95,
                        unsigned int StopSamples=4,
                        unsigned int StopDeep=0);           
 
 
                                
                        
        ~DecisionTree();
 
 
public:
 
        double Predict(const Pds::Vector &x) const;
 
        Pds::Vector Predict(const Pds::Matrix &X) const;
 
public:
 
        void ExportInStreamFile(std::ofstream &streamfile,const std::string &str) const;
        
        bool ExportFile(const std::string &filename) const;
        
        void ExportDotInStreamFile(std::ofstream &streamfile) const;
 
        bool ExportDotFile(const std::string &filename) const;
 
        void ImportFromStreamFile(std::ifstream &ifs,const std::string &str);
        
        bool ImportFile(const std::string &filename);
public:
 
        bool IsEmpty(void) const;
        
        bool IsNotEmpty(void) const;
        
        void MakeEmpty(void);
 
public:
 
        Pds::DecisionTree& operator = (const Pds::DecisionTree &B);
        
        bool Copy(const Pds::DecisionTree &B);
        
 
public:
 
        const Pds::Vector &RootW(void) const;
 
        unsigned int GetWN(void) const;
 
        void Print(const std::string &str) const;
        
        
        const Pds::DecisionTree* GetChild0(void) const 
        {
            return this->LeftTree;
        }
        
        
        const Pds::DecisionTree* GetChild1(void) const 
        {
            return this->RightTree;
        }
        
}; // Class DecisionTree
 
} // namespace Pds
 
 
 
 
#endif