STK_MixtureLearner.h

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/*--------------------------------------------------------------------*/
/*     Copyright (C) 2004-2016  Serge Iovleff
 
    This program is free software; you can redistribute it and/or modify
    it under the terms of the GNU Lesser 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 Lesser General Public License for more details.
 
    You should have received a copy of the GNU Lesser 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
 
    Contact : S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
*/
 
/*
 * Project:  stkpp::Clustering
 * created on: 14 nov. 2013
 * Author:   iovleff, S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
 * Originally created by Parmeet Bhatia <b..._DOT_p..._AT_gmail_Dot_com>
 **/
 
#ifndef STK_MIXTURELEARNER_H
#define STK_MIXTURELEARNER_H
 
#include <vector>
#include <list>
 
#include "STK_IMixtureLearner.h"
 
namespace STK
{
class IMixture;
class MixtureLearner: public IMixtureLearner
{
  public:
    typedef std::vector<IMixture*>::const_iterator ConstMixtIterator;
    typedef std::vector<IMixture*>::iterator MixtIterator;
    MixtureLearner( int nbSample, int nbCluster);
    MixtureLearner(MixtureLearner const& composer);
    virtual ~MixtureLearner();
 
    virtual MixtureLearner* create() const;
    virtual MixtureLearner* clone() const;
    virtual Real lnComponentProbability(int i, int k) const;
    virtual void writeParameters(ostream& os) const;
    virtual void randomInit();
    virtual void paramUpdateStep();
    virtual void imputationStep();
    virtual void samplingStep();
    virtual void storeIntermediateResults(int iteration);
    virtual void releaseIntermediateResults();
    virtual void setParametersStep();
    virtual void finalizeStep();
 
  protected:
    void createLearner( std::vector<IMixture*> const& v_mixtures_);
 
  private:
    Real meanlnLikelihood_;
};
 
} /* namespace STK */
 
#endif /* STK_MIXTURELEARNER_H */