STK_PoissonParameters.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.org (see copyright for ...)
*/
 
/*
 * Project:  stkpp::Clustering
 * created on: Oct 24, 2013
 * Author:   Serge Iovleff
 **/
 
#ifndef STK_POISSONPARAMETERS_H
#define STK_POISSONPARAMETERS_H
 
#include "../STK_Clust_Util.h"
 
#include <Arrays/include/STK_Array1D.h>
#include <Arrays/include/STK_CArrayPoint.h>
#include <Arrays/include/STK_CArrayVector.h>
 
#include <STatistiK/include/STK_Stat_Online.h>
#include <STatistiK/include/STK_Stat_Functors.h>
 
namespace STK
{
template<>
struct ModelParameters<Clust::Poisson_ljlk_>
{
    CVectorX lambdak_;
    CPointX lambdaj_;
    Array1D< Stat::Online<Real, Real> > stat_lambdak_;
    Stat::Online<CVectorX, Real>  stat_lambdaj_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real lambda(int k, int j) const { return lambdak_[k] * lambdaj_[j];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters( ExprBase<Array> const& params)
    {
      lambdak_ = Stat::meanByRow(params.asDerived());
      lambdaj_ = Stat::meanByCol(params.asDerived());
      Real cte = std::sqrt((params/(lambdak_ * lambdaj_)).mean());
      lambdak_ *= cte;
      lambdaj_ *= cte;
    }
};
 
template<>
struct ModelParameters<Clust::Poisson_ljk_>
{
    Array1D<CPointX> lambda_;
    Array1D< Stat::Online<CPointX, Real> > stat_lambda_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& lambda(int k, int j) const { return lambda_[k][j];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters( ExprBase<Array> const& params)
    {
      for(int k=lambda_.begin(); k<lambda_.end(); ++k)
      { lambda_[k] = params.row(k);}
    }
};
 
template<>
struct ModelParameters<Clust::Poisson_lk_>
{
    Array1D<Real> lambda_;
    Array1D< Stat::Online<Real, Real> > stat_lambda_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& lambda(int k, int j) const { return lambda_[k];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters( ExprBase<Array> const& params)
    {
      for(int k=lambda_.begin(); k<lambda_.end(); ++k)
      { lambda_[k] = params.row(k).mean();}
    }
};
 
 
} // namespace STK
 
#endif /* STK_POISSONPARAMETERS_H */