STK_IMixtureLearner.h

Go to the documentation of this file.

/*--------------------------------------------------------------------*/
/*     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
 * Author:   iovleff, S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
 **/
 
#ifndef STK_IMIXTURELEARNER_H
#define STK_IMIXTURELEARNER_H
 
#include "STK_IMixtureStatModel.h"
#include <STatistiK/include/STK_Stat_Functors.h> // for sumByCol
 
namespace STK
{
 
class IMixtureLearner: public IMixtureStatModel //, public IMixture
{
  protected:
    IMixtureLearner( int nbSample, int nbCluster);
    IMixtureLearner( IMixtureLearner const& model);
 
  public:
    virtual ~IMixtureLearner();
    // getters
    inline CVectorXi const& ziPred() const { return ziPred_;};
    inline Clust::modelState state() const { return state_;}
    inline void setState(Clust::modelState state) { state_ = state;}
    // virtual
    virtual void mapStep();
    // pure virtual
    virtual void paramUpdateStep() = 0;
    // template
    template<class ColVector>
    void setClassLabels( ColVector const& zi);
    template<class ColVector, class RowVector>
    void setClassLabels( ColVector const& zi, RowVector const& pk);
 
  private:
    CVectorXi ziPred_;
    Clust::modelState state_;
};
 
/* set the mixture parameters using the given class labels.
 *  Posterior probabilities, numbers in each class  are computed using these
 *  class labels.
 **/
template<class ColVector>
void IMixtureLearner::setClassLabels( ColVector const& zi)
{
  zi_  = zi;
  tik_ = 0.;
  for (int i=tik_.beginRows(); i < tik_.endRows(); i++)
  { tik_(i, zi_[i]) = 1.;}
  // count the number of individuals in each class
  tk_ = Stat::sumByCol(tik_);
  pk_ = tk_/nbSample();
}
 
 
/* set the mixture parameters using the class labels and giving the
 *  proportions.
 **/
template<class ColVector, class RowVector>
void IMixtureLearner::setClassLabels( ColVector const& zi, RowVector const& pk)
{
  pk_  = pk;
  zi_  = zi;
  tik_ = 0.;
  for (int i=tik_.beginRows(); i < tik_.endRows(); i++)
  { tik_(i, zi_[i]) = 1.;}
  // count the number of individuals in each class
  tk_ = Stat::sumByCol(tik_);
}
 
} // namespace STK
 
#endif /* STK_IMIXTURELEARNER_H */