source: trunk/c++_tools/classifier/EnsembleBuilder.h @ 675

#ifndef _theplu_classifier_ensemblebuilder_ 
#define _theplu_classifier_ensemblebuilder_ 

// $Id$

/*
  Copyright (C) The authors contributing to this file.

  This file is part of the yat library, http://lev.thep.lu.se/trac/yat

  The yat library 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.

  The yat library 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., 59 Temple Place - Suite 330, Boston, MA
  02111-1307, USA.
*/

#include "yat/statistics/Averager.h"!

#include <vector>

namespace theplu {
namespace classifier {  

  class SubsetGenerator;
  class DataLookup2D;
  class SupervisedClassifier;

  ///
  /// Class for ensembles of supervised classifiers
  ///

  class EnsembleBuilder
  {
  
  public:
    ///
    /// Constructor.
    ///
    EnsembleBuilder(const SupervisedClassifier&, SubsetGenerator&);

    ///
    /// Destructor.
    ///
    virtual ~EnsembleBuilder(void);


    ///
    /// Generate ensemble. Function trains each member of the Ensemble.
    ///
    void build(void);

    ///
    /// @Return classifier
    ///
    inline const SupervisedClassifier& classifier(size_t i) const
    {
      return *(classifier_[i]);
    }
      
    ///
    /// @Return Number of classifiers in ensemble
    ///
    inline u_long size(void) const
    {
      return classifier_.size();
    }

    ///
    /// @brief Generate validation data for ensemble
    ///
    /// validate()[i][j] return averager for class @a i for sample @a j
    ///
    const std::vector<std::vector<statistics::Averager> >& validate(void);
    
    /**
       Predict a dataset using the ensemble.
       
       If @a data is a KernelLookup each column should correspond to a
       test sample and each row should correspond to a training
       sample. More exactly row \f$ i \f$ in @a data should correspond
       to the same sample as row/column \f$ i \f$ in the training
       kernel corresponds to.
    */
    void  predict(const DataLookup2D& data, 
                  std::vector<std::vector<statistics::Averager> > &);


  private:
  
    const SupervisedClassifier& mother_;
    SubsetGenerator& subset_;
    std::vector<SupervisedClassifier*> classifier_;
    std::vector<std::vector<statistics::Averager> > validation_result_;

  };
  
}} // of namespace classifier and namespace theplu

#endif